Experiment overview:

Experiment parameters:

Number of evaluations

Result names and types

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trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,feature_id,batch_size,divergence,detect_batch,statistic,significance,subsets
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.419999999999999984456877655248,1315.000000000000000000000000000000,395,2,4839,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.874514531731605537778762027301,14
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.520000000000000017763568394003,1404.000000000000000000000000000000,4995,9,1625,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.231002405831590290619104166581,60
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1011.000000000000000000000000000000,3617,0,3394,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.694954441417008683679057412519,85
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1216.000000000000000000000000000000,1615,6,179,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.410044262750074273160549864770,43
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1097.000000000000000000000000000000,2407,1,2334,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.605837507363408800387105657137,92
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,580.000000000000000000000000000000,2826,5,4140,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.257458064367994676757689376245,33
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,241.000000000000000000000000000000,4183,3,889,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.785399490058422133920146279706,12
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1344.000000000000000000000000000000,1205,8,2694,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.078414303915575148118399795294,65
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1095.000000000000000000000000000000,877,0,1019,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.553662055799737595762621822360,97
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1009.000000000000000000000000000000,3895,7,2824,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.340851465038955192543568273322,31
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.410000000000000031086244689504,202.000000000000000000000000000000,2539,3,2151,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.873528899891302001989856762521,1
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.520000000000000017763568394003,1096.000000000000000000000000000000,2080,9,3957,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.021441959846764804126229009285,73
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,860.000000000000000000000000000000,1326,4,3533,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.963740358522161888465973333950,24
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1306.000000000000000000000000000000,3290,8,319,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.172933618780225506483816388936,53
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1177.000000000000000000000000000000,4668,1,4666,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.643875417964532958947643237479,79
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1142.000000000000000000000000000000,107,6,1451,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.492341220438480386967228241701,45
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1141.000000000000000000000000000000,298,1,3106,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.214484026305377495358328587827,76
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,704.000000000000000000000000000000,4468,5,1164,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.921702638873830415455756792653,48
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,809.000000000000000000000000000000,3168,4,3848,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.394035082269459935311317622109,22
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1082.000000000000000000000000000000,1439,7,1906,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.742668883128091650291935366113,56
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,244.000000000000000000000000000000,1880,3,621,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.304920289691537615972549701837,4
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1412.000000000000000000000000000000,2730,8,3659,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.590080543270334656469344736252,70
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1094.000000000000000000000000000000,4008,0,1363,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.125367330193519588288353361349,99
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,960.000000000000000000000000000000,756,7,4402,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.769116202550008898342071006482,28
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.460000000000000019984014443253,875.000000000000000000000000000000,1093,4,1810,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.356007866034284248257790750358,10
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1362.000000000000000000000000000000,4305,8,4848,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.507775002948939846447728996282,68
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.460000000000000019984014443253,1101.000000000000000000000000000000,3027,2,130,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.036132943077012896759825366644,89
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,559.000000000000000000000000000000,2217,5,3169,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.827193568516522592659612200805,35
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1310.000000000000000000000000000000,1737,1,4305,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.126346067300066339234021484117,87
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1364.000000000000000000000000000000,3505,6,2363,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.978683561857789707794097466831,40
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,338.000000000000000000000000000000,4416,3,4444,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,6
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,288.000000000000000000000000000000,477,3,3067,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,68
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,321.000000000000000000000000000000,5000,3,1608,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,530.000000000000000000000000000000,1,5,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
34,34_0,FAILED,BoTorch,GenerationStep_1,,,3636,5,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,270.000000000000000000000000000000,1,3,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,882.000000000000000000000000000000,3177,5,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
37,37_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,377.000000000000000000000000000000,1,3,4045,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,67
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,350.000000000000000000000000000000,5000,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,882.000000000000000000000000000000,1,5,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.410000000000000031086244689504,1434.000000000000000000000000000000,1,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,397.000000000000000000000000000000,5000,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,72
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,607.000000000000000000000000000000,518,3,4244,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.346220537188583366017269327131,100
44,44_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,212.000000000000000000000000000000,5000,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1149.000000000000000000000000000000,5000,3,1006,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,81
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,381.000000000000000000000000000000,1,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.010352230628144163879222894309,1
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,356.000000000000000000000000000000,1,3,2806,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.410000000000000031086244689504,2775.000000000000000000000000000000,4102,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,69
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,732.000000000000000000000000000000,4499,5,4009,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,88
51,51_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,944.000000000000000000000000000000,1,7,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.410000000000000031086244689504,5615.000000000000000000000000000000,1,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,90
54,54_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.410000000000000031086244689504,1314.000000000000000000000000000000,1,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,266.000000000000000000000000000000,5000,3,3179,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,345.000000000000000000000000000000,473,3,4481,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,871.000000000000000000000000000000,5000,5,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1222.000000000000000000000000000000,1,7,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,1564.000000000000000000000000000000,3426,2,3199,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,2
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1042.000000000000000000000000000000,3958,6,622,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1377.000000000000000000000000000000,4019,6,2342,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.774285570089070063204417238012,1
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1008.000000000000000000000000000000,3798,0,2308,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,4
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1029.000000000000000000000000000000,2682,0,2656,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,826.000000000000000000000000000000,4764,4,4953,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.641415110591327053413124303916,51
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1519.000000000000000000000000000000,1687,6,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.803135668987403406049452314619,100
67,67_0,FAILED,BoTorch,GenerationStep_1,,,4020,6,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,994.000000000000000000000000000000,4566,0,2050,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1014.000000000000000000000000000000,4069,0,4149,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1003.000000000000000000000000000000,2537,0,380,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.751080298373049681792679166392,1
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,668.000000000000000000000000000000,3774,5,3297,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.629537436542461192878761266911,1
72,72_0,FAILED,BoTorch,GenerationStep_1,,,4816,0,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,8
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,3337.000000000000000000000000000000,1182,6,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.990371975015911565343174061127,22
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1170.000000000000000000000000000000,4478,1,3426,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.019799467963738690695629784955,48
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1199.000000000000000000000000000000,3027,8,171,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.610209167353318870929967943084,1
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1993.000000000000000000000000000000,1016,6,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1008.000000000000000000000000000000,4303,0,3693,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,993.000000000000000000000000000000,4687,0,2792,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1004.000000000000000000000000000000,2755,0,189,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.181578037807426040384228826952,41
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,991.000000000000000000000000000000,86,0,4185,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.429999999999999993338661852249,1212.000000000000000000000000000000,547,2,3200,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1007.000000000000000000000000000000,4763,0,1103,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,591.000000000000000000000000000000,4992,5,70,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.733898364666109137566252229590,15
84,84_0,FAILED,BoTorch,GenerationStep_1,,,4268,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.256393644089096928162518906902,1
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1031.000000000000000000000000000000,4791,9,4378,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.885808870855917418474234636960,100
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,993.000000000000000000000000000000,4035,0,4973,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,54
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1087.000000000000000000000000000000,2977,6,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1119.000000000000000000000000000000,318,6,2809,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1739.000000000000000000000000000000,3185,6,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,226.000000000000000000000000000000,361,3,3749,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.218211543625628362486068567705,11
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,221.000000000000000000000000000000,1,3,2464,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,55
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,826.000000000000000000000000000000,952,5,311,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.481340874187129452721478628519,50
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,236.000000000000000000000000000000,3325,3,363,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.057640165977068322233911601415,14
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,722.000000000000000000000000000000,5000,3,3280,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1044.000000000000000000000000000000,1155,7,3711,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.492616494909749402797416450994,100
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,320.000000000000000000000000000000,1,3,2459,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,50
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,300.000000000000000000000000000000,355,3,1337,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.565079629697687990663723667240,1
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,883.000000000000000000000000000000,428,5,4936,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.432422296396061056622528440130,1
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,610.000000000000000000000000000000,1448,5,4505,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.280396442352861319236012604961,54
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,1271.000000000000000000000000000000,5000,2,3693,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,58
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1235.000000000000000000000000000000,804,7,1467,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.319720425580967304579615984039,1
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1287.000000000000000000000000000000,1922,5,1130,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.585914221547103486464891375363,100
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1061.000000000000000000000000000000,638,7,3319,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.248169663735992945818864541252,87
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,305.000000000000000000000000000000,279,3,3380,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.566924906972800957127844867500,66
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,948.000000000000000000000000000000,2246,5,3657,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.445729187662565307093132105365,93
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,687.000000000000000000000000000000,1177,5,2996,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,54
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1058.000000000000000000000000000000,691,7,3128,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.869218972262650213522761077911,100
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,266.000000000000000000000000000000,1,3,1857,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,35
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.429999999999999993338661852249,1484.000000000000000000000000000000,5000,2,3519,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.857764575925867300831839656894,8
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1447.000000000000000000000000000000,3834,2,4788,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,12
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1652.000000000000000000000000000000,1,4,1110,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.619726602220945887999903334276,100
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1163.000000000000000000000000000000,384,7,1131,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.088836814449085588218935072291,33
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,269.000000000000000000000000000000,4952,3,1887,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1055.000000000000000000000000000000,304,5,3812,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.211864102000161508287945366646,100
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,262.000000000000000000000000000000,878,3,2842,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.718236410827674420787047893100,56
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,591.000000000000000000000000000000,536,5,4290,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.549265741446029909234027854836,42
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,644.000000000000000000000000000000,4642,5,3946,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,633.000000000000000000000000000000,3240,5,3841,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.572110938260889434481271109689,61
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,444.000000000000000000000000000000,832,3,1838,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.373547538273539980746562605418,78
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,255.000000000000000000000000000000,4540,3,1007,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,892.000000000000000000000000000000,1055,5,1416,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.628776221370410226541025622282,1
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,712.000000000000000000000000000000,2313,5,4838,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.772267886037730999504447026993,58
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,545.000000000000000000000000000000,4416,5,2699,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.220573228719561920119218711989,31
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,1148.000000000000000000000000000000,5000,6,2651,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,212.000000000000000000000000000000,5000,3,327,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
126,126_0,FAILED,BoTorch,GenerationStep_1,,,2081,7,188,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.534084745611645539398182336299,100
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1760.000000000000000000000000000000,5000,7,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.433248514737651857497979790423,100
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,632.000000000000000000000000000000,4186,5,2696,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.678747867034813268105608585756,22
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1202.000000000000000000000000000000,5000,6,3494,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,652.000000000000000000000000000000,4264,5,1003,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.501608820433628865842479171988,79
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,606.000000000000000000000000000000,819,5,1936,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,65
132,51_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1183.000000000000000000000000000000,2546,6,4574,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1103.000000000000000000000000000000,3907,7,1115,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.766961800996046383360749132407,33
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1603.000000000000000000000000000000,4789,7,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.097257775309394112195349180183,1
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,273.000000000000000000000000000000,2746,3,2121,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,544.000000000000000000000000000000,3688,5,1930,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,229.000000000000000000000000000000,879,3,4473,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
139,139_0,FAILED,BoTorch,GenerationStep_1,,,5000,7,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,582.000000000000000000000000000000,1524,5,3967,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1359.000000000000000000000000000000,5000,7,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.479797099587817299504166612678,100
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1019.000000000000000000000000000000,5000,7,1832,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,7
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,553.000000000000000000000000000000,4381,5,3084,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.538582994558056249445598950842,100
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,286.000000000000000000000000000000,3644,3,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,59
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1683.000000000000000000000000000000,5000,7,2742,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,90
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,530.000000000000000000000000000000,5000,5,734,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,245.000000000000000000000000000000,2707,3,4551,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,556.000000000000000000000000000000,4735,5,4881,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.044153279848482877845139427109,1
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,574.000000000000000000000000000000,4316,5,2429,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1052.000000000000000000000000000000,3346,6,619,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,617.000000000000000000000000000000,5000,5,148,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1695.000000000000000000000000000000,3773,6,377,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,83
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,2573.000000000000000000000000000000,685,6,328,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,96
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,579.000000000000000000000000000000,4446,5,1489,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.530000000000000026645352591004,1686.000000000000000000000000000000,54,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
156,156_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,48
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1185.000000000000000000000000000000,5000,6,658,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,63
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,254.000000000000000000000000000000,3331,3,2005,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.677771502552522164819492900278,41
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1048.000000000000000000000000000000,1838,6,960,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,83
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1164.000000000000000000000000000000,1,7,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,72
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1040.000000000000000000000000000000,859,6,72,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
162,162_0,FAILED,BoTorch,GenerationStep_1,,,5000,4,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,569.000000000000000000000000000000,606,5,2827,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.459611572970964166184870691723,29
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1219.000000000000000000000000000000,4805,6,926,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1570.000000000000000000000000000000,13,7,3374,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.390020051613614415764175191725,1
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,272.000000000000000000000000000000,1375,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.720711621962137005681370283128,40
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.530000000000000026645352591004,2009.000000000000000000000000000000,5000,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1369.000000000000000000000000000000,3558,6,602,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,844.000000000000000000000000000000,5000,4,2998,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.530000000000000026645352591004,1306.000000000000000000000000000000,3953,9,3646,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1415.000000000000000000000000000000,5000,6,672,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,59
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,545.000000000000000000000000000000,4925,5,2868,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.976964403249275359364389714756,51
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1905.000000000000000000000000000000,3340,6,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,92
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,2373.000000000000000000000000000000,4905,6,657,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,88
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1887.000000000000000000000000000000,5000,7,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1062.000000000000000000000000000000,4884,6,310,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1058.000000000000000000000000000000,1,5,2851,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
178,178_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1254.000000000000000000000000000000,204,6,612,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,97
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,693.000000000000000000000000000000,2399,5,3107,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,574.000000000000000000000000000000,176,5,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.065508074707061797470331043769,1
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,632.000000000000000000000000000000,5000,5,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.446273966175627978536510909180,73
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,610.000000000000000000000000000000,4239,5,2750,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,589.000000000000000000000000000000,1,5,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.527598793414470024210061183112,100
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,1338.000000000000000000000000000000,5000,5,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,1667.000000000000000000000000000000,354,5,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.723116025682703722488042785699,1
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,668.000000000000000000000000000000,5000,5,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,701.000000000000000000000000000000,1,5,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
189,189_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1036.000000000000000000000000000000,1,7,984,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.488096855363103432345894816535,1
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,890.000000000000000000000000000000,5000,5,1701,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,1472.000000000000000000000000000000,1,5,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,561.000000000000000000000000000000,5000,5,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.232078350668128569056491983247,100
194,194_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,275.000000000000000000000000000000,2434,3,3527,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,726.000000000000000000000000000000,1,5,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,694.000000000000000000000000000000,5000,5,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
198,198_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.528212770919935348246099238168,100
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,977.000000000000000000000000000000,5000,7,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,590.000000000000000000000000000000,4853,5,1636,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1122.000000000000000000000000000000,5000,7,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.006666841599777362931122937084,100
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,974.000000000000000000000000000000,1,7,820,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,750.000000000000000000000000000000,1,5,2379,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,555.000000000000000000000000000000,2954,5,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.604432251601268677454470434895,27
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,573.000000000000000000000000000000,798,5,991,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.743168520883495498097204290389,1
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1100.000000000000000000000000000000,5000,5,1755,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,1285.000000000000000000000000000000,5000,5,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1007.000000000000000000000000000000,5000,7,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.662903085725386254090096826985,49
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,617.000000000000000000000000000000,2942,5,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,566.000000000000000000000000000000,4768,5,3895,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.005832192672787800229172727740,100
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,651.000000000000000000000000000000,5000,5,361,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,48
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,546.000000000000000000000000000000,3247,5,1490,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,551.000000000000000000000000000000,1,5,1969,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,535.000000000000000000000000000000,5000,5,1302,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,568.000000000000000000000000000000,1,5,3575,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.976414636323025497688377072336,100
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,757.000000000000000000000000000000,4323,5,302,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.379977220894912148807520679838,46
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1002.000000000000000000000000000000,4557,7,1194,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.466317599519811443187222721463,11
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,753.000000000000000000000000000000,1438,5,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,524.000000000000000000000000000000,1,5,3746,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,589.000000000000000000000000000000,1,5,3922,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1091.000000000000000000000000000000,5000,7,1791,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.600709287565752703130783629604,1
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,561.000000000000000000000000000000,197,5,726,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1027.000000000000000000000000000000,1,7,1635,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,85
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1099.000000000000000000000000000000,1,7,2464,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.462067384943406433972512559194,1
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,524.000000000000000000000000000000,5000,5,4107,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,697.000000000000000000000000000000,665,5,1681,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,991.000000000000000000000000000000,5000,5,3507,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.404827396620050294906434373843,1
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1091.000000000000000000000000000000,5000,5,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1114.000000000000000000000000000000,5000,7,1440,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44
230,230_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,66
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1049.000000000000000000000000000000,1,7,2002,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,615.000000000000000000000000000000,5000,5,1275,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.489777471973718347975079723255,34
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,515.000000000000000000000000000000,1,5,2967,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1945.000000000000000000000000000000,1,9,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,2249.000000000000000000000000000000,1,7,1697,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1589.000000000000000000000000000000,5000,7,1576,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.384765114367649874171917190324,1
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,596.000000000000000000000000000000,5000,5,4130,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,942.000000000000000000000000000000,5000,7,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,949.000000000000000000000000000000,1,7,1665,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,226.000000000000000000000000000000,5000,3,1204,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,253.000000000000000000000000000000,162,3,4906,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,498.000000000000000000000000000000,5000,3,3008,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,80
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,270.000000000000000000000000000000,3826,3,591,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.643462442055987793310123379342,39
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,253.000000000000000000000000000000,5000,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,25
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1079.000000000000000000000000000000,4441,7,3103,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.622653563216207905917087828129,39
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,241.000000000000000000000000000000,5000,3,1489,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,576.000000000000000000000000000000,4581,5,3117,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,80
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,1178.000000000000000000000000000000,5000,4,99,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,527.000000000000000000000000000000,5000,5,1737,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,805.000000000000000000000000000000,3953,4,4964,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,214.000000000000000000000000000000,4122,3,387,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,232.000000000000000000000000000000,1,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,29
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,257.000000000000000000000000000000,4326,3,4861,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,793.000000000000000000000000000000,4857,4,4223,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,64
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,947.000000000000000000000000000000,4099,7,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,907.000000000000000000000000000000,1263,4,4189,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,36
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,234.000000000000000000000000000000,1,3,3740,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,361.000000000000000000000000000000,5000,3,3456,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,97
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,324.000000000000000000000000000000,4278,3,3423,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,67
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.429999999999999993338661852249,1044.000000000000000000000000000000,5000,2,191,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1122.000000000000000000000000000000,1181,7,2855,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.504978725115028503900305167917,43
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,886.000000000000000000000000000000,1711,4,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,2
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,200.000000000000000000000000000000,4996,3,1290,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.530000000000000026645352591004,613.000000000000000000000000000000,3729,5,4998,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.435702430020670994359477390390,27
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1194.000000000000000000000000000000,1,7,4015,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,237.000000000000000000000000000000,5000,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,75
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,894.000000000000000000000000000000,4348,4,4637,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1234.000000000000000000000000000000,4465,4,302,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,332.000000000000000000000000000000,5000,3,505,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,594.000000000000000000000000000000,708,5,2877,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,616.000000000000000000000000000000,4028,5,1348,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1057.000000000000000000000000000000,5000,7,2571,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,37
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,944.000000000000000000000000000000,5000,7,3702,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,545.000000000000000000000000000000,15,5,4818,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,47
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,655.000000000000000000000000000000,1444,5,1829,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,593.000000000000000000000000000000,5000,5,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,43
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,521.000000000000000000000000000000,5000,5,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1015.000000000000000000000000000000,5000,7,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1080.000000000000000000000000000000,1,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,1385.000000000000000000000000000000,2572,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,470.000000000000000000000000000000,1,5,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73
282,282_0,FAILED,BoTorch,GenerationStep_1,,,4745,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,558.000000000000000000000000000000,5000,5,1945,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,68
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,727.000000000000000000000000000000,1,5,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,523.000000000000000000000000000000,5000,5,1728,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,38
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1120.000000000000000000000000000000,586,9,1220,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
287,287_0,RUNNING,BoTorch,GenerationStep_1,,,5000,9,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.969570093453290593465965230280,100
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,936.000000000000000000000000000000,5000,7,2601,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44
289,289_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1048.000000000000000000000000000000,1,9,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,564.000000000000000000000000000000,1818,5,4375,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1082.000000000000000000000000000000,5000,9,2935,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,549.000000000000000000000000000000,5000,5,2042,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,56
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,992.000000000000000000000000000000,4300,7,4931,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.688842366226242952542691000417,44
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,621.000000000000000000000000000000,5000,5,1952,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,44
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.530000000000000026645352591004,526.000000000000000000000000000000,1,5,1130,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,227.000000000000000000000000000000,4076,3,1239,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.409552839162551030049996825255,23
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,559.000000000000000000000000000000,1,5,2680,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1087.000000000000000000000000000000,5000,7,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,65
300,300_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,531.000000000000000000000000000000,2520,5,2275,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,557.000000000000000000000000000000,2266,5,2950,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,38
303,303_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.690014231792439591828269840335,28
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1030.000000000000000000000000000000,153,7,3187,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.473210428718893960642333240685,40
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,513.000000000000000000000000000000,2059,5,3146,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,538.000000000000000000000000000000,1933,5,2982,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,79
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,668.000000000000000000000000000000,1974,5,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,699.000000000000000000000000000000,5000,5,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,673.000000000000000000000000000000,3109,5,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
310,310_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1102.000000000000000000000000000000,3378,7,3549,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.344259500977477039818097637180,48
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,582.000000000000000000000000000000,5000,5,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,731.000000000000000000000000000000,865,5,151,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.674517158963461094245417370985,32
314,314_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1752.000000000000000000000000000000,5000,9,2047,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.504514553537556142970288419747,100
316,316_0,FAILED,BoTorch,GenerationStep_1,,,4939,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,97
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1072.000000000000000000000000000000,1304,7,3475,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,959.000000000000000000000000000000,1,7,3281,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,38
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,590.000000000000000000000000000000,1,5,3578,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.719306798912180744842714830156,36
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,618.000000000000000000000000000000,2432,5,4334,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
321,321_0,FAILED,BoTorch,GenerationStep_1,,,1,0,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,803.000000000000000000000000000000,2485,5,157,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.027307703127033948475865798855,34
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1810.000000000000000000000000000000,5000,7,984,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
324,324_0,FAILED,BoTorch,GenerationStep_1,,,5000,7,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,90
325,325_0,FAILED,BoTorch,GenerationStep_1,,,1410,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.067538854255657934655410201685,17
326,326_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.894908524350027878568880623789,100
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,525.000000000000000000000000000000,2268,5,3514,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,78
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,993.000000000000000000000000000000,1,5,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1010.000000000000000000000000000000,1,7,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,589.000000000000000000000000000000,5000,5,2578,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,46
331,331_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,6
332,332_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15
333,333_0,RUNNING,BoTorch,GenerationStep_1,,,5000,0,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
334,334_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,55
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,670.000000000000000000000000000000,1,5,2558,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,75
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,576.000000000000000000000000000000,1,5,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,530.000000000000000000000000000000,3034,5,2240,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,38
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,585.000000000000000000000000000000,5000,5,3226,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.628401697148672333526064903708,29
339,339_0,RUNNING,BoTorch,GenerationStep_1,,,1,0,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,581.000000000000000000000000000000,1,5,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.519059263780348500993966354145,50
341,341_0,RUNNING,BoTorch,GenerationStep_1,,,4161,0,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,536.000000000000000000000000000000,5000,5,3676,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,586.000000000000000000000000000000,5000,5,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,41
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,631.000000000000000000000000000000,4505,5,3556,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.613775148491509825454670590261,48
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,993.000000000000000000000000000000,3110,0,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,576.000000000000000000000000000000,1,5,2986,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,88
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,529.000000000000000000000000000000,5000,5,1007,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,983.000000000000000000000000000000,3913,0,1496,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,576.000000000000000000000000000000,1,5,2880,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,467.000000000000000000000000000000,1,5,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,56
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1012.000000000000000000000000000000,1792,7,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.167745432343401057462273229248,48
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,545.000000000000000000000000000000,5000,5,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1004.000000000000000000000000000000,4864,0,3858,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47
354,354_0,FAILED,BoTorch,GenerationStep_1,,,4401,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,566.000000000000000000000000000000,2102,5,3960,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
356,356_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51
357,357_0,RUNNING,BoTorch,GenerationStep_1,,,3772,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,65
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,660.000000000000000000000000000000,1,5,1940,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1075.000000000000000000000000000000,1479,6,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38
360,360_0,FAILED,BoTorch,GenerationStep_1,,,244,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.823478355370626191600536003534,15
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,590.000000000000000000000000000000,1,5,3549,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.412962645590978560949935172175,52
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1290.000000000000000000000000000000,4903,7,3814,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.523645355924825528504129579233,1
363,310_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
364,364_0,FAILED,BoTorch,GenerationStep_1,,,314,8,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,12
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,580.000000000000000000000000000000,1,5,1839,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
366,366_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,522.000000000000000000000000000000,2407,5,2424,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
368,368_0,RUNNING,BoTorch,GenerationStep_1,,,1,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,77
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1111.000000000000000000000000000000,1,9,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.486512108040513147066974397603,100
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.410000000000000031086244689504,371.000000000000000000000000000000,4477,3,5,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.558737964823510124823258138349,1
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1019.000000000000000000000000000000,3182,7,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.444983921510988533754016316379,1
372,372_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,551.000000000000000000000000000000,1,5,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,579.000000000000000000000000000000,1706,5,2709,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1131.000000000000000000000000000000,1,1,727,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,80
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1017.000000000000000000000000000000,5000,0,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,68
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,543.000000000000000000000000000000,1300,5,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.062700445365379053885845905825,62
378,378_0,RUNNING,BoTorch,GenerationStep_1,,,1748,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,69
379,379_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,604.000000000000000000000000000000,3017,5,1941,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,24
381,381_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,532.000000000000000000000000000000,5000,5,303,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,571.000000000000000000000000000000,5000,5,930,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
384,384_0,RUNNING,BoTorch,GenerationStep_1,,,2383,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,793.000000000000000000000000000000,1421,5,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.801419261777918667810638453375,90
386,386_0,FAILED,BoTorch,GenerationStep_1,,,3858,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18
387,387_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,27
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1576.000000000000000000000000000000,1,7,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1257.000000000000000000000000000000,5000,1,330,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,206.000000000000000000000000000000,2709,3,1186,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,577.000000000000000000000000000000,3970,5,2325,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.516336893574307453924632227427,26
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,256.000000000000000000000000000000,2709,3,1159,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,647.000000000000000000000000000000,4171,5,3102,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41
394,394_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1706.000000000000000000000000000000,1,7,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,52
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1037.000000000000000000000000000000,4831,1,1042,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,6
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,612.000000000000000000000000000000,5000,5,1337,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1349.000000000000000000000000000000,801,8,1210,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,10
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1031.000000000000000000000000000000,5000,1,444,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,63
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,219.000000000000000000000000000000,2047,3,1195,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,610.000000000000000000000000000000,5000,5,1870,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1080.000000000000000000000000000000,1240,7,4224,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1010.000000000000000000000000000000,1458,1,928,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,256.000000000000000000000000000000,3062,3,1157,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20
405,405_0,RUNNING,BoTorch,GenerationStep_1,,,5000,5,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,73
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1738.000000000000000000000000000000,1,7,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49
407,407_0,RUNNING,BoTorch,GenerationStep_1,,,3294,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,59
408,408_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.369985621138684050990264040593,1
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1064.000000000000000000000000000000,4932,7,4347,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.432997768875676425359699805995,47
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1049.000000000000000000000000000000,1,7,457,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,59
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,235.000000000000000000000000000000,2164,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,27
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,574.000000000000000000000000000000,3149,5,2102,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.839957052578545360077555415046,1
413,413_0,FAILED,BoTorch,GenerationStep_1,,,5000,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1060.000000000000000000000000000000,3855,7,436,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.138438072309270382431733992235,39
415,415_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,55
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1034.000000000000000000000000000000,1371,1,686,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1203.000000000000000000000000000000,1,1,2085,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,948.000000000000000000000000000000,1,7,2421,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,51
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,977.000000000000000000000000000000,5000,7,4280,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,262.000000000000000000000000000000,3316,3,4863,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,246.000000000000000000000000000000,2659,3,3412,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,261.000000000000000000000000000000,2796,3,4583,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,28
423,300_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,260.000000000000000000000000000000,3614,3,3986,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,347.000000000000000000000000000000,3405,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,589.000000000000000000000000000000,203,5,2488,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.613084677968887770127537351073,36
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1040.000000000000000000000000000000,1883,7,1826,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,27
428,428_0,FAILED,BoTorch,GenerationStep_1,,,157,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.015551413135399018428106643341,21
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,270.000000000000000000000000000000,5000,3,4526,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,598.000000000000000000000000000000,5000,5,2767,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,41
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,349.000000000000000000000000000000,3556,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
432,432_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.475136328948554398365899942291,7
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,582.000000000000000000000000000000,5000,5,2162,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.679386941599712135264610424201,1
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,562.000000000000000000000000000000,155,5,3345,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.644789350646544523470993226510,77
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,621.000000000000000000000000000000,375,5,3484,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
436,436_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,639.000000000000000000000000000000,4611,3,4996,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,599.000000000000000000000000000000,5000,5,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,45
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1020.000000000000000000000000000000,5000,7,2559,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1182.000000000000000000000000000000,687,7,230,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.313277815802921855148355234633,30
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.530000000000000026645352591004,590.000000000000000000000000000000,1,5,1834,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.617371021098894967593651017523,36
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,233.000000000000000000000000000000,4026,3,2881,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1929.000000000000000000000000000000,5000,9,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,520.000000000000000000000000000000,5000,5,3187,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,50
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1572.000000000000000000000000000000,1,7,521,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.091479966521924582778524381865,1
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,636.000000000000000000000000000000,5000,5,1730,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,12
447,447_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,698.000000000000000000000000000000,5000,5,2144,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,587.000000000000000000000000000000,2953,5,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,200.000000000000000000000000000000,3817,3,3333,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,250.000000000000000000000000000000,3338,3,3397,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,222.000000000000000000000000000000,4167,3,787,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,7
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,835.000000000000000000000000000000,5000,4,286,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,6
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1045.000000000000000000000000000000,1,7,4384,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,65
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,214.000000000000000000000000000000,1621,3,3265,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18
456,456_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
457,457_0,FAILED,BoTorch,GenerationStep_1,,,5000,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,42
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.419999999999999984456877655248,207.000000000000000000000000000000,1267,3,3302,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,986.000000000000000000000000000000,1,0,1755,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,65
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,954.000000000000000000000000000000,5000,7,1918,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,902.000000000000000000000000000000,2665,4,636,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1044.000000000000000000000000000000,410,7,2359,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.454004936720642127134794918675,39
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,236.000000000000000000000000000000,4587,3,3413,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,56
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,590.000000000000000000000000000000,5000,5,1538,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,207.000000000000000000000000000000,1026,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,680.000000000000000000000000000000,1,5,1488,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,50
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,552.000000000000000000000000000000,1,5,4067,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,562.000000000000000000000000000000,616,5,2148,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,548.000000000000000000000000000000,5000,5,4416,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1309.000000000000000000000000000000,1,5,668,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,95
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,569.000000000000000000000000000000,1077,5,2094,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.578331551046062042331641350756,1
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,995.000000000000000000000000000000,1,0,2596,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1029.000000000000000000000000000000,1,0,2579,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,2070.000000000000000000000000000000,3888,4,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,576.000000000000000000000000000000,1,5,2553,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1078.000000000000000000000000000000,1,9,1281,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,637.000000000000000000000000000000,54,5,4009,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,43
478,478_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,631.000000000000000000000000000000,5000,5,549,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,257.000000000000000000000000000000,2763,3,2902,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26
481,481_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,545.000000000000000000000000000000,5000,5,1694,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,32
482,482_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,984.000000000000000000000000000000,5000,6,2899,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,975.000000000000000000000000000000,5000,4,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,6
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,276.000000000000000000000000000000,3810,3,1858,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,617.000000000000000000000000000000,1,5,3858,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,61
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,1027.000000000000000000000000000000,1,4,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
487,487_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,471.000000000000000000000000000000,2722,5,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,60
488,488_0,FAILED,BoTorch,GenerationStep_1,,,1363,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,41
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,982.000000000000000000000000000000,1,7,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.681934425103777330789966981683,100
490,490_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,956.000000000000000000000000000000,5000,7,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1063.000000000000000000000000000000,5000,6,3659,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44
492,492_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,88
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,552.000000000000000000000000000000,5000,5,1273,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,559.000000000000000000000000000000,3922,5,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,45
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,516.000000000000000000000000000000,5000,5,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,35
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,915.000000000000000000000000000000,3841,4,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,51
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,565.000000000000000000000000000000,3770,5,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,58
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1140.000000000000000000000000000000,5000,7,4360,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39
499,499_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1182.000000000000000000000000000000,5000,7,2079,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,37
500,500_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,614.000000000000000000000000000000,1,5,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,259.000000000000000000000000000000,5000,3,3003,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1019.000000000000000000000000000000,1,7,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,2
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,995.000000000000000000000000000000,995,7,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.270821500510461832256225989113,39
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,581.000000000000000000000000000000,1,5,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,955.000000000000000000000000000000,1677,7,1707,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18
506,506_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1159.000000000000000000000000000000,5000,4,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
507,507_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1000.000000000000000000000000000000,5000,7,1473,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,668.000000000000000000000000000000,1,5,2805,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
509,509_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.979146617671664221127514338150,100
510,510_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1244.000000000000000000000000000000,2246,0,3661,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.693341406464576759383078297105,89
511,511_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1566.000000000000000000000000000000,3877,7,1075,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.218110735265538091542936172118,48
512,512_0,COMPLETED,Sobol,SOBOL,0.489999999999999991118215802999,1216.000000000000000000000000000000,2862,4,3955,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.957678623484447544278452824074,6
513,513_0,COMPLETED,Sobol,SOBOL,0.510000000000000008881784197001,1671.000000000000000000000000000000,743,8,1370,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.450533520745113491567934715931,58
514,514_0,COMPLETED,Sobol,SOBOL,0.479999999999999982236431605997,318.000000000000000000000000000000,348,3,118,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.786579421779140863790757975949,21
515,515_0,COMPLETED,Sobol,SOBOL,0.520000000000000017763568394003,1722.000000000000000000000000000000,3228,9,2688,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.311592621346935605419758985590,69
516,516_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1542.000000000000000000000000000000,4722,1,2284,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.552573137724772123213767827110,86
517,517_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,769.000000000000000000000000000000,1353,5,4854,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.045184144699946048040484214425,26
518,518_0,COMPLETED,Sobol,SOBOL,0.450000000000000011102230246252,1265.000000000000000000000000000000,1678,4,2072,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.846125306550413402995047817967,17
519,519_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1598.000000000000000000000000000000,4403,7,4501,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.370864397231489395512227247309,70
520,520_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1352.000000000000000000000000000000,3547,1,529,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.610003203630447354832710971095,77
521,521_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1376.000000000000000000000000000000,21,6,2958,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.102827406406402588334714209850,38
522,522_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1643.000000000000000000000000000000,1072,1,4152,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.627978343363851276848208726733,100
523,523_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,684.000000000000000000000000000000,2546,5,1738,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.152960848446935415712033545788,40
524,524_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,293.000000000000000000000000000000,4193,3,3234,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.890532914794981533823658992333,7
525,525_0,COMPLETED,Sobol,SOBOL,0.520000000000000017763568394003,1288.000000000000000000000000000000,1918,9,819,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.383113703168928620979016841375,55
526,526_0,COMPLETED,Sobol,SOBOL,0.510000000000000008881784197001,275.000000000000000000000000000000,2155,3,4680,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.228780879488214849981631004994,10
527,527_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1518.000000000000000000000000000000,4274,8,1952,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.734955179920420031969285901141,51
528,528_0,COMPLETED,Sobol,SOBOL,0.419999999999999984456877655248,1314.000000000000000000000000000000,2777,2,3097,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.494449130529537816958196572159,97
529,529_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,686.000000000000000000000000000000,1147,5,370,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.970650623554363822798052297003,43
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,311.000000000000000000000000000000,3601,3,1790,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.500015598831244689748132259410,53
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,826.000000000000000000000000000000,2586,5,4658,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.706371262369358654531481533922,22
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,593.000000000000000000000000000000,4239,5,1438,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,236.000000000000000000000000000000,1021,3,615,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,611.000000000000000000000000000000,4332,5,3517,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,52
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,2039.000000000000000000000000000000,994,7,349,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71
536,536_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1394,7,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,66
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,340.000000000000000000000000000000,1227,3,1481,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,1187.000000000000000000000000000000,4146,9,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,54
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,837.000000000000000000000000000000,2695,5,1295,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,649.000000000000000000000000000000,4649,5,2343,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.561355588091301260789123261929,86
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1392.000000000000000000000000000000,3594,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,45
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1424.000000000000000000000000000000,2271,8,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,317.000000000000000000000000000000,772,3,4304,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.097509334929359398058679175847,29
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,584.000000000000000000000000000000,4306,5,4386,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,83
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,1131.000000000000000000000000000000,199,7,2148,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,602.000000000000000000000000000000,4816,5,4869,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,12
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1413.000000000000000000000000000000,3832,7,2106,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,720.000000000000000000000000000000,857,5,903,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1200.000000000000000000000000000000,2771,7,1459,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,334.000000000000000000000000000000,4967,3,2354,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.515220678369063600499089261575,14
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1401.000000000000000000000000000000,993,7,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,26
552,552_0,FAILED,BoTorch,BOTORCH_MODULAR,,,57,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,22
553,553_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4388,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,69
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,1167.000000000000000000000000000000,468,9,2785,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,9
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3066,7,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,752.000000000000000000000000000000,1,5,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,79
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,644.000000000000000000000000000000,3584,5,3525,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,252.000000000000000000000000000000,4797,3,933,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1114.000000000000000000000000000000,1301,7,2405,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,286.000000000000000000000000000000,2188,3,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.650365796892775516191420592804,13
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1242.000000000000000000000000000000,891,7,4952,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.295218440079020316701985393593,39
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,1289.000000000000000000000000000000,3882,5,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
563,563_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1093,5,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
564,564_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2766,5,92,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,69
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1302.000000000000000000000000000000,22,7,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,57
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,698,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,661.000000000000000000000000000000,3570,5,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.627998858525922631912408178323,17
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,800.000000000000000000000000000000,3835,3,3224,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1294.000000000000000000000000000000,1,7,3360,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
570,570_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,23
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,1671.000000000000000000000000000000,415,9,4889,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,609.000000000000000000000000000000,1197,5,4146,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.316223559161507017378767159244,54
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1164.000000000000000000000000000000,809,7,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.526970506455900822295745911106,73
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1417.000000000000000000000000000000,1,7,1831,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,377.000000000000000000000000000000,2952,3,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,83
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,557.000000000000000000000000000000,1,5,1569,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,89
577,577_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4451,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2637,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,703.000000000000000000000000000000,1494,3,4509,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1366.000000000000000000000000000000,3825,7,126,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,26
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,280.000000000000000000000000000000,5000,3,1828,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,9
582,582_0,FAILED,BoTorch,BOTORCH_MODULAR,,,839,7,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,35
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1463.000000000000000000000000000000,154,7,1351,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1114.000000000000000000000000000000,5000,7,4030,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,42
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,288.000000000000000000000000000000,5000,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
586,586_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4495,0,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,67
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,679.000000000000000000000000000000,5000,5,2110,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.307598034924563945580189283646,46
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,575.000000000000000000000000000000,5000,5,1364,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,65
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1171.000000000000000000000000000000,1889,7,2474,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.324832054616715659722814280030,28
590,590_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3366,0,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,267.000000000000000000000000000000,3148,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,75
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,656.000000000000000000000000000000,5000,5,3068,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,88
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,985.000000000000000000000000000000,1497,5,3647,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,588.000000000000000000000000000000,5000,5,2078,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,84
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1457.000000000000000000000000000000,3890,4,927,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,748.000000000000000000000000000000,4677,5,2570,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,61
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,659.000000000000000000000000000000,5000,5,1667,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,689.000000000000000000000000000000,4835,5,4028,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17
599,599_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,135,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1785.000000000000000000000000000000,398,7,2150,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,562.000000000000000000000000000000,5000,5,1943,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,691.000000000000000000000000000000,4517,5,1866,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.680669102091110977958976491209,14
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,262.000000000000000000000000000000,4748,3,1561,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,350.000000000000000000000000000000,4913,3,4874,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.580669594379528808403279072081,45
605,605_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,7,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,631.000000000000000000000000000000,3257,5,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,57
607,607_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3617,0,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
608,608_0,FAILED,BoTorch,BOTORCH_MODULAR,,,191,0,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,908.000000000000000000000000000000,4659,5,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.548112685546848221740390272316,85
610,610_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,296.000000000000000000000000000000,3329,3,1303,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20
612,612_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4786,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1052.000000000000000000000000000000,5000,7,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,727.000000000000000000000000000000,3158,5,2852,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.745803688915681384230538242264,63
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1936.000000000000000000000000000000,1395,6,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,301.000000000000000000000000000000,3900,3,852,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,3
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1142.000000000000000000000000000000,2792,8,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,485.000000000000000000000000000000,4745,5,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1089.000000000000000000000000000000,1388,1,1252,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,578.000000000000000000000000000000,4660,5,2022,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,626.000000000000000000000000000000,368,5,1671,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.020273044131361231401378120154,51
622,622_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1580,0,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
623,623_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2014,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,41
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1818.000000000000000000000000000000,5000,7,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
625,625_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1984,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,30
626,626_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,792.000000000000000000000000000000,4752,5,2540,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.437308619084027183632201740693,31
627,627_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,755.000000000000000000000000000000,4914,5,4967,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.382705687040439113122403114176,20
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1297.000000000000000000000000000000,216,7,1599,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,631.000000000000000000000000000000,114,5,2169,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,38
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,846.000000000000000000000000000000,2460,5,1576,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,83
632,632_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2633,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30
633,633_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,651.000000000000000000000000000000,4293,5,2783,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,71
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,568.000000000000000000000000000000,5000,5,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,583.000000000000000000000000000000,4436,5,499,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,549.000000000000000000000000000000,596,5,3120,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.478548660798918057412976168052,93
637,637_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1332.000000000000000000000000000000,5000,7,3633,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.827411697362240516895326436497,1
638,638_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4061,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,603.000000000000000000000000000000,1,5,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,1352.000000000000000000000000000000,4125,8,2925,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,812.000000000000000000000000000000,3441,5,3489,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,73
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,958.000000000000000000000000000000,928,5,2193,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,69
643,643_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,64,0,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44
644,644_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1111,0,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,645.000000000000000000000000000000,4937,5,3751,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.451758613971041722567889564743,63
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,699.000000000000000000000000000000,4562,5,974,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.549582561350244636066975090216,51
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1210.000000000000000000000000000000,1130,7,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,79
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1211.000000000000000000000000000000,5000,7,2905,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28
649,649_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3397,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,28
650,650_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,642.000000000000000000000000000000,4950,5,4654,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,74
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,792.000000000000000000000000000000,3853,5,852,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,56
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,630.000000000000000000000000000000,2897,5,892,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,45
653,653_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4115,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,753.000000000000000000000000000000,5000,5,1968,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,660.000000000000000000000000000000,1,5,3028,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.725559563537816365474952817749,100
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1191.000000000000000000000000000000,1,7,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,605.000000000000000000000000000000,5000,5,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,49
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,286.000000000000000000000000000000,2091,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,271.000000000000000000000000000000,4813,3,1697,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.627664847782425483480039929418,28
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,857.000000000000000000000000000000,5000,5,1901,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.560805232642946127619154594868,23
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1174.000000000000000000000000000000,1575,7,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21
662,51_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
663,663_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,611.000000000000000000000000000000,3143,5,4030,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,56
664,664_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,727.000000000000000000000000000000,5000,5,3924,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,696.000000000000000000000000000000,74,5,1013,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
666,666_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,0,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
667,667_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1304,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,711.000000000000000000000000000000,360,5,4311,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,63
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,780.000000000000000000000000000000,5000,5,1400,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,33
670,670_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1923,0,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,72
671,671_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.121783050596294004086495021966,1
672,672_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1244,0,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46
673,673_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4769,0,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
674,674_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4462,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58
675,675_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1916,0,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,601.000000000000000000000000000000,3529,5,4598,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,59
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,684.000000000000000000000000000000,5000,5,2370,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,438.000000000000000000000000000000,5000,3,2150,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,274.000000000000000000000000000000,1,3,1516,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21
680,680_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,779.000000000000000000000000000000,2231,5,3826,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,1197.000000000000000000000000000000,868,5,1656,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,77
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,515.000000000000000000000000000000,1508,3,1964,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,763.000000000000000000000000000000,4456,5,3480,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1119.000000000000000000000000000000,1,7,3631,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.284674961952941452114629328207,51
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,633.000000000000000000000000000000,4596,5,2416,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1149.000000000000000000000000000000,5000,7,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,617.000000000000000000000000000000,106,5,3607,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36
688,688_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,759.000000000000000000000000000000,3434,5,1948,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,232.000000000000000000000000000000,5000,3,773,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,787.000000000000000000000000000000,1,5,4185,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.201880269933762290790468796331,1
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,676.000000000000000000000000000000,5000,5,4188,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,56
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,2135.000000000000000000000000000000,4205,9,2177,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,1452.000000000000000000000000000000,1,9,2491,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,378.000000000000000000000000000000,5000,3,770,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21
695,695_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,647.000000000000000000000000000000,378,5,2987,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.346177527870464907255865227853,28
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,607.000000000000000000000000000000,5000,5,2226,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,651.000000000000000000000000000000,320,5,4559,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39
698,698_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2667,5,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,367.000000000000000000000000000000,2789,3,1856,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,41
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,669.000000000000000000000000000000,1604,5,4592,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,75
701,701_0,FAILED,BoTorch,BOTORCH_MODULAR,,,199,2,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43
702,702_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,611.000000000000000000000000000000,5000,5,4061,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,583.000000000000000000000000000000,1,5,3789,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,61
704,704_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,604.000000000000000000000000000000,1,5,2740,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,2056.000000000000000000000000000000,1,9,3365,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,59
706,706_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,0,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,754.000000000000000000000000000000,2761,5,1434,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.722789353990687888362742796744,33
708,708_0,FAILED,BoTorch,BOTORCH_MODULAR,,,127,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,35
709,709_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,750.000000000000000000000000000000,2678,5,2831,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
710,710_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,296.000000000000000000000000000000,1169,3,948,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29
711,711_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
712,712_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,1218.000000000000000000000000000000,105,9,3966,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,1472.000000000000000000000000000000,1813,9,3552,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31
714,714_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1252.000000000000000000000000000000,189,7,1589,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.461050492632001929216301050474,29
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1044.000000000000000000000000000000,1211,5,384,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,719.000000000000000000000000000000,331,5,381,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,80
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,237.000000000000000000000000000000,4920,3,1855,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.410854871025255308225609951478,20
718,718_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,255.000000000000000000000000000000,226,3,1709,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.435617686373688584033914139582,24
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,760.000000000000000000000000000000,1,5,554,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19
720,720_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,3540.000000000000000000000000000000,1723,5,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,35
721,721_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1900,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,35
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,631.000000000000000000000000000000,1,5,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
723,723_0,FAILED,BoTorch,BOTORCH_MODULAR,,,524,5,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,561.000000000000000000000000000000,1,5,3112,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.516536051681521279910214161646,100
725,725_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,791.000000000000000000000000000000,3048,5,1089,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,58
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,771.000000000000000000000000000000,3781,5,726,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,47
727,727_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1478.000000000000000000000000000000,4479,7,1413,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.490125509108254975298990530064,42
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1490.000000000000000000000000000000,4615,7,3065,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.496634482176018077215218227138,80
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,747.000000000000000000000000000000,4188,5,1567,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,714.000000000000000000000000000000,3227,5,1308,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.211613916642467064788135644449,1
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,607.000000000000000000000000000000,811,5,945,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001976915518347341707561248825,100
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,1172.000000000000000000000000000000,4072,9,3679,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,742.000000000000000000000000000000,5000,5,805,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,302.000000000000000000000000000000,4582,3,1391,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,4
735,735_0,FAILED,BoTorch,BOTORCH_MODULAR,,,825,0,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,26
736,736_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3104,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
737,737_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,639.000000000000000000000000000000,1769,5,3399,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34
738,738_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,648.000000000000000000000000000000,2004,5,829,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,10
739,739_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,927.000000000000000000000000000000,2726,5,2622,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,263.000000000000000000000000000000,4971,3,2730,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.131179206245531726482411727375,28
741,741_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2988,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20
742,742_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,794.000000000000000000000000000000,3264,5,1253,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38
743,743_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,604.000000000000000000000000000000,1,5,989,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1028.000000000000000000000000000000,5000,7,3415,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,59
745,745_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3027,0,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,68
746,746_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3035,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
747,747_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1511,0,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
748,748_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1619.000000000000000000000000000000,2531,7,3883,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,699.000000000000000000000000000000,4304,5,1315,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
750,750_0,FAILED,BoTorch,BOTORCH_MODULAR,,,552,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
751,751_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1031.000000000000000000000000000000,3135,5,3515,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46
752,752_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4031,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.920304098609489806825934010703,100
753,753_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3589,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
754,754_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,309.000000000000000000000000000000,4332,3,2620,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1051.000000000000000000000000000000,3713,7,4657,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.385167990425939410492617298587,27
756,756_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2003,5,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,83
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,707.000000000000000000000000000000,4556,5,1077,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1438.000000000000000000000000000000,1,7,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.943403284361901794952132149774,53
759,759_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,95
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1085.000000000000000000000000000000,5000,7,3744,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,677.000000000000000000000000000000,4878,5,1049,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74
762,762_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1103.000000000000000000000000000000,2482,7,1528,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.636092972212270568732606079720,100
763,763_0,FAILED,BoTorch,BOTORCH_MODULAR,,,466,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
764,764_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1247,0,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,80
765,765_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3850,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
766,766_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4187,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
767,767_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4596,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
768,768_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3455,9,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,68
769,769_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3740,9,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,93
770,770_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5,3256,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62

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start_time,end_time,run_time,program_string,recent_samples_size,feature_id,batch_size,divergence,detect_batch,statistic,significance,subsets,ACCURACY,RUNTIME,exit_code,signal,hostname,OO_Info_runtime,OO_Info_peak_memory,OO_Info_mean_memory,OO_Info_lpd,OO_Info_portion_req_label,OO_Info_SLURM_JOB_ID
1745405685,1745406026,341,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 348 feature_id 3 batch_size 118 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7865794217791409 subsets 21,348,3,118,str\(\'KL\'\),2,str\(\'tstat\'\),0.7865794217791409,21,0.48,318,0,None,i7185,318,526.57421875,517.2242647058823,-1,0.08915608177456265,4621100
1745406168,1745406479,311,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2155 feature_id 3 batch_size 4680 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.22878087948821485 subsets 10,2155,3,4680,str\(\'KL\'\),1,str\(\'stdev\'\),0.22878087948821485,10,0.51,275,0,None,i7177,275,511.51171875,488.9192708333333,-1,0.3257261536192534,4621959
1745405799,1745406581,782,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1353 feature_id 5 batch_size 4854 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.04518414469994605 subsets 26,1353,5,4854,str\(\'H\'\),1,str\(\'tstat\'\),0.04518414469994605,26,0.55,769,0,None,i7184,769,530.13671875,516.5205201740506,-1,0.22885127073105568,4621210
1745406025,1745406725,700,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2546 feature_id 5 batch_size 1738 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.15296084844693542 subsets 40,2546,5,1738,str\(\'H\'\),2,str\(\'stdev\'\),0.15296084844693542,40,0.55,684,0,None,i7183,684,539.3125,522.196963028169,-1,0.2623171393651603,4621536
1745405581,1745406845,1264,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2246 feature_id 0 batch_size 3661 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6933414064645768 subsets 89,2246,0,3661,str\(\'H\'\),1,str\(\'tstat\'\),0.6933414064645768,89,0.5,1244,0,None,i7185,1244,526.91796875,518.5919660433071,-1,0.022128841720452465,4621008
1745405612,1745406851,1239,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2862 feature_id 4 batch_size 3955 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.9576786234844475 subsets 6,2862,4,3955,str\(\'H\'\),2,str\(\'stdev\'\),0.9576786234844475,6,0.49,1216,0,None,i7186,1216,530.7734375,521.6768838205645,-1,0.3322662811094281,4621043
1745405837,1745407122,1285,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1678 feature_id 4 batch_size 2072 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8461253065504134 subsets 17,1678,4,2072,str\(\'H\'\),3,str\(\'tstat\'\),0.8461253065504134,17,0.45,1265,0,None,i7184,1265,527.1171875,516.6781128875969,-1,0.22293009800520067,4621250
1745406674,1745407139,465,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4193 feature_id 3 batch_size 3234 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8905329147949815 subsets 7,4193,3,3234,str\(\'KL\'\),1,str\(\'stdev\'\),0.8905329147949815,7,0.5,293,0,None,i7181,293,511.36328125,463.564453125,-1,0.6231145755384725,4621665
1745405603,1745407187,1584,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3877 feature_id 7 batch_size 1075 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.2181107352655381 subsets 48,3877,7,1075,str\(\'KL\'\),3,str\(\'stdev\'\),0.2181107352655381,48,0.56,1566,0,None,i7185,1566,533.140625,522.1707940251572,-1,0.24839911944013607,4621025
1745405843,1745407215,1372,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3547 feature_id 1 batch_size 529 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6100032036304474 subsets 77,3547,1,529,str\(\'H\'\),2,str\(\'stdev\'\),0.6100032036304474,77,0.5,1352,0,None,i7182,1352,528.42578125,517.6084408967391,-1,0.022382709885505458,4621349
1745405855,1745407248,1393,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 21 feature_id 6 batch_size 2958 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.10282740640640259 subsets 38,21,6,2958,str\(\'KL\'\),2,str\(\'tstat\'\),0.10282740640640259,38,0.5,1376,0,None,i7182,1376,531.48046875,520.9671595982143,-1,0.17521980751957505,4621407
1745405748,1745407320,1572,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4722 feature_id 1 batch_size 2284 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5525731377247721 subsets 86,4722,1,2284,str\(\'KL\'\),3,str\(\'stdev\'\),0.5525731377247721,86,0.5,1542,0,None,i7184,1542,510.1171875,501.675980294586,-1,0.07455020001184719,4621173
1745405646,1745407338,1692,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 743 feature_id 8 batch_size 1370 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4505335207451135 subsets 58,743,8,1370,str\(\'KL\'\),1,str\(\'tstat\'\),0.4505335207451135,58,0.51,1671,0,None,i7185,1671,540.49609375,524.4065735946746,-1,0.30066573904045085,4621064
1745405837,1745407456,1619,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4403 feature_id 7 batch_size 4501 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3708643972314894 subsets 70,4403,7,4501,str\(\'KL\'\),1,str\(\'stdev\'\),0.3708643972314894,70,0.56,1598,0,None,i7184,1598,528.83203125,512.1246141975308,-1,0.33735694226675256,4621292
1745405725,1745407469,1744,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3228 feature_id 9 batch_size 2688 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.3115926213469356 subsets 69,3228,9,2688,str\(\'H\'\),3,str\(\'stdev\'\),0.3115926213469356,69,0.52,1722,0,None,i7185,1722,529.265625,520.6253794642857,-1,0.2664600260396204,4621137
1745406691,1745407474,783,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1147 feature_id 5 batch_size 370 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9706506235543638 subsets 43,1147,5,370,str\(\'H\'\),1,str\(\'stdev\'\),0.9706506235543638,43,0.55,686,0,None,i7176,686,507.31640625,478.8520576584507,-1,0.14044954007550764,4622266
1745406169,1745407497,1328,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1918 feature_id 9 batch_size 819 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.3831137031689286 subsets 55,1918,9,819,str\(\'H\'\),3,str\(\'tstat\'\),0.3831137031689286,55,0.52,1288,0,None,i7180,1288,510.64453125,444.7058683206107,-1,0.23168008742736046,4621816
1745405933,1745407595,1662,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1072 feature_id 1 batch_size 4152 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6279783433638513 subsets 100,1072,1,4152,str\(\'KL\'\),2,str\(\'tstat\'\),0.6279783433638513,100,0.5,1643,0,None,i7184,1643,523.125,516.2689698727545,-1,0.11042539842190713,4621471
1745406416,1745407775,1359,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2777 feature_id 2 batch_size 3097 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.4944491305295378 subsets 97,2777,2,3097,str\(\'KL\'\),3,str\(\'tstat\'\),0.4944491305295378,97,0.42,1314,0,None,i7179,1314,528.08203125,511.7148729011194,-1,0.20966125524509763,4622155
1745406260,1745407803,1543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4274 feature_id 8 batch_size 1952 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.73495517992042 subsets 51,4274,8,1952,str\(\'H\'\),2,str\(\'tstat\'\),0.73495517992042,51,0.5,1518,0,None,i7180,1518,510.484375,490.6126471185065,-1,0.26659663129033934,4622061
1745408512,1745408849,337,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3601 feature_id 3 batch_size 1790 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5000155988312447 subsets 53,3601,3,1790,str\(\'KL\'\),1,str\(\'tstat\'\),0.5000155988312447,53,0.5,311,0,None,i7178,311,534.26953125,521.8729319852941,-1,0.27456567388095515,4624542
1745409071,1745409942,871,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2586 feature_id 5 batch_size 4658 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7063712623693587 subsets 22,2586,5,4658,str\(\'H\'\),2,str\(\'tstat\'\),0.7063712623693587,22,0.55,826,0,None,i7172,826,538.1484375,522.7488511029412,-1,0.27028980864384833,4625020
1745409659,1745410271,612,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4239 feature_id 5 batch_size 1438 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 21,4239,5,1438,str\(\'H\'\),1,str\(\'stdev\'\),0.999,21,0.53,593,0,None,i7174,593,530.72265625,520.8646673387096,-1,0.1060419414386588,4625632
1745410200,1745410459,259,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1021 feature_id 3 batch_size 615 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 29,1021,3,615,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,29,0.5,236,0,None,i7167,236,540.5078125,521.9155649038462,-1,0.2282456138230007,4626071
1745410770,1745411455,685,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4332 feature_id 5 batch_size 3517 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 52,4332,5,3517,str\(\'H\'\),3,str\(\'tstat\'\),0.999,52,0.55,611,0,None,i7178,611,532.4140625,520.9876612103175,-1,0.28911473753053973,4626472
1745411733,1745411752,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1394 feature_id 7 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 66,1394,7,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,66,None,None,1,None,i7177,,,,,,4627361
1745412229,1745412586,357,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1227 feature_id 3 batch_size 1481 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1227,3,1481,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,0.51,340,0,None,i7180,340,561.34765625,528.8907335069445,-1,0.9035131727355262,4627810
1745411466,1745413551,2085,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 994 feature_id 7 batch_size 349 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 71,994,7,349,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,71,0.56,2039,0,None,i7178,2039,534.609375,519.5386453276699,-1,0.26031520754931387,4627026
1745412647,1745413849,1202,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4146 feature_id 9 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 54,4146,9,5000,str\(\'H\'\),1,str\(\'tstat\'\),0.001,54,0.52,1187,0,None,i7185,1187,537.3828125,525.7447378615702,-1,0.1511120030077333,4628170
1745413330,1745414185,855,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2695 feature_id 5 batch_size 1295 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 15,2695,5,1295,str\(\'H\'\),2,str\(\'tstat\'\),0.001,15,0.55,837,0,None,i7186,837,533.62890625,521.5791696947674,-1,0.15570097231507216,4628769
1745413959,1745414634,675,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4649 feature_id 5 batch_size 2343 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5613555880913013 subsets 86,4649,5,2343,str\(\'H\'\),3,str\(\'tstat\'\),0.5613555880913013,86,0.55,649,0,None,i7183,649,536.40625,520.1928055037314,-1,0.24359013105641797,4629389
1745415519,1745415850,331,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 772 feature_id 3 batch_size 4304 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.0975093349293594 subsets 29,772,3,4304,str\(\'KL\'\),1,str\(\'stdev\'\),0.0975093349293594,29,0.5,317,0,None,i7171,317,530.67578125,517.6928998161765,-1,0.24212857576332716,4631529
1745414451,1745415870,1419,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3594 feature_id 1 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 45,3594,1,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.001,45,0.5,1392,0,None,i7183,1392,529.5546875,520.2614436619718,-1,0.12088960240618665,4630083
1745415037,1745416488,1451,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2271 feature_id 8 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2271,8,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,1,0.5,1424,0,None,i7175,1424,535.140625,523.0517510775862,-1,0.27200160541391993,4630916
1745416003,1745416612,609,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4306 feature_id 5 batch_size 4386 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 83,4306,5,4386,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,83,0.55,584,0,None,i7167,584,523.5859375,513.2292520491803,-1,0.1590665388460604,4631991
1745416677,1745417825,1148,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 199 feature_id 7 batch_size 2148 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 68,199,7,2148,str\(\'H\'\),3,str\(\'tstat\'\),0.999,68,0.55,1131,0,None,i7175,1131,539.1796875,522.6013247282609,-1,0.27005770060722845,4632588
1745417229,1745417847,618,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4816 feature_id 5 batch_size 4869 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 12,4816,5,4869,str\(\'H\'\),3,str\(\'stdev\'\),0.001,12,0.55,602,0,None,i7169,602,522.59765625,510.9515749007937,-1,0.2531029338697608,4633054
1745418170,1745418910,740,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 857 feature_id 5 batch_size 903 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 71,857,5,903,str\(\'H\'\),1,str\(\'tstat\'\),0.001,71,0.55,720,0,None,i7180,720,528.41796875,519.2804054054054,-1,0.10370514542414722,4633767
1745417809,1745419272,1463,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3832 feature_id 7 batch_size 2106 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 72,3832,7,2106,str\(\'H\'\),3,str\(\'tstat\'\),0.001,72,0.56,1413,0,None,i7172,1413,531.48046875,520.9452853732639,-1,0.1654857767338289,4633403
1745418787,1745420043,1256,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2771 feature_id 7 batch_size 1459 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 46,2771,7,1459,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,46,0.56,1200,0,None,i7178,1200,544.57421875,524.4027279713115,-1,0.3891424212494908,4634725
1745421308,1745421764,456,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4967 feature_id 3 batch_size 2354 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5152206783690636 subsets 14,4967,3,2354,str\(\'KL\'\),1,str\(\'tstat\'\),0.5152206783690636,14,0.5,334,0,None,i7186,334,533.69140625,518.5767144097222,-1,0.2480086460243641,4637221
1745422070,1745422128,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 57 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 22,57,7,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,22,None,None,1,None,i7180,,,,,,4637837
1745422537,1745422664,127,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4388 feature_id 5 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 69,4388,5,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,69,None,None,1,None,i7186,,,,,,4638081
1745421696,1745423115,1419,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 993 feature_id 7 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 26,993,7,5000,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,26,0.56,1401,0,None,i7185,1401,529.69921875,521.0829940580986,-1,0.14506752288742397,4637460
1745423560,1745423642,82,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3066 feature_id 7 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 23,3066,7,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,23,None,None,1,None,i7183,,,,,,4640670
1745422928,1745424126,1198,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 468 feature_id 9 batch_size 2785 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 9,468,9,2785,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,9,0.52,1167,0,None,i7177,1167,519.79296875,513.4445575105042,-1,0.13803779250750423,4639610
1745424586,1745425374,788,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 79,1,5,5000,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,79,0.55,752,0,None,i7174,752,521.51953125,514.5857371794872,-1,0.2840905656545386,4641754
1745424848,1745425518,670,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3584 feature_id 5 batch_size 3525 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 18,3584,5,3525,str\(\'H\'\),3,str\(\'stdev\'\),0.999,18,0.55,644,0,None,i7175,644,544.01953125,525.0985890858209,-1,0.19602249030163166,4642142
1745425297,1745425562,265,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4797 feature_id 3 batch_size 933 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 23,4797,3,933,str\(\'H\'\),2,str\(\'tstat\'\),0.001,23,0.5,252,0,None,i7175,252,538.37109375,521.2887834821429,-1,0.11939661581647024,4642536
1745426265,1745426566,301,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2188 feature_id 3 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6503657968927755 subsets 13,2188,3,5000,str\(\'KL\'\),2,str\(\'stdev\'\),0.6503657968927755,13,0.5,286,0,None,i7174,286,536.6015625,521.8568548387096,-1,0.22969024457175463,4643338
1745425735,1745426863,1128,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1301 feature_id 7 batch_size 2405 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1301,7,2405,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,100,0.56,1114,0,None,i7175,1114,527.31640625,520.1165021929825,-1,0.16281411652065217,4642898
1745428004,1745428017,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1093 feature_id 5 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1093,5,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7182,,,,,,4644688
1745426823,1745428076,1253,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 891 feature_id 7 batch_size 4952 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.2952184400790203 subsets 39,891,7,4952,str\(\'KL\'\),1,str\(\'stdev\'\),0.2952184400790203,39,0.56,1242,0,None,i7178,1242,536.74609375,524.8700172244095,-1,0.3232684680023356,4643777
1745427364,1745428665,1301,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3882 feature_id 5 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,3882,5,1,str\(\'H\'\),3,str\(\'stdev\'\),0.999,100,0.54,1289,0,None,i7174,1289,715.33203125,590.5908277671756,-1,0.021320090280355076,4644213
1745429102,1745430420,1318,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 22 feature_id 7 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 57,22,7,5000,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,57,0.56,1302,0,None,i7186,1302,533.71484375,520.020353618421,-1,0.27200160541391993,4645535
1745430444,1745431116,672,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3570 feature_id 5 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6279988585259226 subsets 17,3570,5,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.6279988585259226,17,0.55,661,0,None,i7180,661,535.45703125,521.4758265398551,-1,0.2417792048123733,4646774
1745429702,1745431211,1509,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 698 feature_id 1 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 29,698,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,29,None,None,1,None,i7183,,,,,,4646100
1745431144,1745431956,812,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3835 feature_id 3 batch_size 3224 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,3835,3,3224,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,100,0.49,800,0,None,i7178,800,531.21875,521.3764291158536,-1,0.3210743217186633,4647447
1745431945,1745433251,1306,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 3360 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1,7,3360,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,100,0.56,1294,0,None,i7175,1294,535.9921875,522.7951882102273,-1,0.2721466729368074,4648223
1745436581,1745436601,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 23,5000,7,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,23,None,None,1,None,i7186,,,,,,4651659
1745437708,1745438331,623,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1197 feature_id 5 batch_size 4146 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.316223559161507 subsets 54,1197,5,4146,str\(\'H\'\),3,str\(\'tstat\'\),0.316223559161507,54,0.55,609,0,None,i7183,609,541.9140625,523.5740327380952,-1,0.2305558141249829,4652545
1745437153,1745438844,1691,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 415 feature_id 9 batch_size 4889 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 48,415,9,4889,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,48,0.52,1671,0,None,i7185,1671,536.98046875,521.8988073224853,-1,0.27778375509700787,4652083
1745438250,1745439430,1180,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 809 feature_id 7 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5269705064559008 subsets 73,809,7,5000,str\(\'H\'\),3,str\(\'stdev\'\),0.5269705064559008,73,0.56,1164,0,None,i7182,1164,536.35546875,523.1686909138656,-1,0.23573472469206397,4652972
1745439560,1745439957,397,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2952 feature_id 3 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 83,2952,3,5000,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,83,0.5,377,0,None,i7176,377,526.3828125,513.1587890625,-1,0.24782368493268261,4654091
1745438971,1745440398,1427,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 1831 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 19,1,7,1831,str\(\'H\'\),2,str\(\'stdev\'\),0.999,19,0.56,1417,0,None,i7185,1417,531.640625,521.4640028211805,-1,0.19921397580515499,4653582
1745440213,1745440785,572,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 1569 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 89,1,5,1569,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,89,0.55,557,0,None,i7175,557,529.7890625,521.0353582974138,-1,0.155014319373405,4654687
1745442131,1745442848,717,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1494 feature_id 3 batch_size 4509 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1494,3,4509,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,100,0.48,703,0,None,i7175,703,533.73046875,523.1257491438356,-1,0.33008905937009264,4656146
1745441574,1745443130,1556,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2637 feature_id 1 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 23,2637,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,23,None,None,1,None,i7176,,,,,,4655759
1745443283,1745443580,297,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1828 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 9,5000,3,1828,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,9,0.51,280,0,None,i7178,280,543.5703125,521.968359375,-1,0.4152473219930827,4656903
1745442705,1745444092,1387,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3825 feature_id 7 batch_size 126 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 26,3825,7,126,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,26,0.56,1366,0,None,i7182,1366,543.2734375,524.7926596223022,-1,0.22391172157673891,4656529
1745444122,1745444141,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 839 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 35,839,7,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,35,None,None,1,None,i7175,,,,,,4657449
1745444940,1745446417,1477,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 154 feature_id 7 batch_size 1351 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,154,7,1351,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,0.56,1463,0,None,i7185,1463,535.2890625,522.4957529362416,-1,0.2670644740516513,4658023
1745446183,1745446485,302,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,5000,3,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,100,0.5,288,0,None,i7183,288,542.78515625,522.9426663306451,-1,0.24782368493268261,4658955
1745445566,1745446693,1127,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 4030 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 42,5000,7,4030,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,42,0.56,1114,0,None,i7183,1114,526.75390625,519.8250068530701,-1,0.15102738028604898,4658488
1745447467,1745448160,693,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 2110 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.30759803492456395 subsets 46,5000,5,2110,str\(\'KL\'\),3,str\(\'tstat\'\),0.30759803492456395,46,0.55,679,0,None,i7182,679,541.31640625,523.3724330357143,-1,0.2397724374124306,4659931
1745447912,1745448510,598,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 1364 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 65,5000,5,1364,str\(\'H\'\),3,str\(\'tstat\'\),0.001,65,0.55,575,0,None,i7176,575,520.34765625,506.734765625,-1,0.14928536111537583,4660302
1745448420,1745449606,1186,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1889 feature_id 7 batch_size 2474 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.32483205461671566 subsets 28,1889,7,2474,str\(\'KL\'\),3,str\(\'tstat\'\),0.32483205461671566,28,0.56,1171,0,None,i7176,1171,538.359375,523.5476299894958,-1,0.2482371273729118,4660727
1745455612,1745455892,280,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3148 feature_id 3 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 75,3148,3,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,75,0.5,267,0,None,i7178,267,541.03515625,521.4900323275862,-1,0.24782368493268261,4665669
1745456052,1745456718,666,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 3068 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 88,5000,5,3068,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,88,0.55,656,0,None,i7178,656,540.58984375,523.2896369485294,-1,0.18915354309291213,4665974
1745456934,1745457932,998,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1497 feature_id 5 batch_size 3647 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1497,5,3647,str\(\'H\'\),2,str\(\'stdev\'\),0.999,100,0.55,985,0,None,i7178,985,542.546875,522.300239789604,-1,0.1939891271891596,4666652
1745457672,1745458270,598,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 2078 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 84,5000,5,2078,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,84,0.55,588,0,None,i7176,588,533.56640625,523.1568263319672,-1,0.15826141409403519,4667173
1745458182,1745459648,1466,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3890 feature_id 4 batch_size 927 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,3890,4,927,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,0.5,1457,0,None,i7175,1457,561.0703125,535.1687341638514,-1,0.9972001968082728,4667521
1745459082,1745459844,762,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4677 feature_id 5 batch_size 2570 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 61,4677,5,2570,str\(\'H\'\),2,str\(\'tstat\'\),0.999,61,0.55,748,0,None,i7175,748,534.890625,521.2941355519481,-1,0.2951519642747047,4668072
1745459896,1745460569,673,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 1667 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,5,1667,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,100,0.55,659,0,None,i7185,659,538.19140625,521.5749080882352,-1,0.15678656094467971,4668563
1745460634,1745461333,699,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4835 feature_id 5 batch_size 4028 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 17,4835,5,4028,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,17,0.55,689,0,None,i7186,689,536.6953125,523.3294454225352,-1,0.2678188251706659,4669012
1745462984,1745463556,572,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 1943 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,5,1943,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,1,0.54,562,0,None,i7180,562,527.84375,517.4597457627119,-1,0.16677083320740665,4670644
1745462235,1745464031,1796,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 398 feature_id 7 batch_size 2150 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 46,398,7,2150,str\(\'H\'\),2,str\(\'stdev\'\),0.001,46,0.56,1785,0,None,i7186,1785,532.97265625,520.5006906077348,-1,0.27290827743196633,4670135
1745463674,1745464378,704,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4517 feature_id 5 batch_size 1866 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.680669102091111 subsets 14,4517,5,1866,str\(\'H\'\),3,str\(\'stdev\'\),0.680669102091111,14,0.55,691,0,None,i7186,691,535.63671875,521.8860134548611,-1,0.23218661486144238,4671148
1745464375,1745464645,270,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4748 feature_id 3 batch_size 1561 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,4748,3,1561,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,0.5,262,0,None,i7180,262,541.4140625,521.0738146551724,-1,0.23158216684941144,4671621
1745465175,1745465539,364,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4913 feature_id 3 batch_size 4874 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5806695943795288 subsets 45,4913,3,4874,str\(\'KL\'\),2,str\(\'stdev\'\),0.5806695943795288,45,0.48,350,0,None,i7185,350,540.72265625,521.3772170608108,-1,0.24157852807237903,4672196
1745465894,1745465907,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 37,5000,7,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,37,None,None,1,None,i7183,,,,,,4672703
1745466695,1745467337,642,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3257 feature_id 5 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 57,3257,5,5000,str\(\'H\'\),3,str\(\'stdev\'\),0.999,57,0.54,631,0,None,i7175,631,531.4375,523.1329308712121,-1,0.19342336384989864,4673238
1745468737,1745469661,924,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4659 feature_id 5 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5481126855468482 subsets 85,4659,5,5000,str\(\'KL\'\),3,str\(\'tstat\'\),0.5481126855468482,85,0.55,908,0,None,i7186,908,534.7890625,522.1630544354839,-1,0.2659571252936106,4674446
1745476919,1745477230,311,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3329 feature_id 3 batch_size 1303 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 20,3329,3,1303,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,20,0.5,296,0,None,i7186,296,531.78515625,519.06396484375,-1,0.2527644429830235,4679467
1745478279,1745479342,1063,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 44,5000,7,5000,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,44,0.56,1052,0,None,i7181,1052,535.5859375,522.7831669560185,-1,0.27200160541391993,4680284
1745477509,1745479705,2196,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4786 feature_id 1 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 32,4786,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,32,None,None,1,None,i7186,,,,,,4679802
1745478964,1745479705,741,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3158 feature_id 5 batch_size 2852 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.7458036889156814 subsets 63,3158,5,2852,str\(\'KL\'\),3,str\(\'stdev\'\),0.7458036889156814,63,0.55,727,0,None,i7186,727,535.33984375,520.9691666666666,-1,0.21720960201933992,4680686
1745480399,1745480714,315,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3900 feature_id 3 batch_size 852 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 3,3900,3,852,str\(\'H\'\),1,str\(\'tstat\'\),0.001,3,0.5,301,0,None,i7182,301,545.5234375,527.7067945075758,-1,0.7261354858130007,4682128
1745479548,1745481494,1946,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1395 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1395,6,5000,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.5,1936,0,None,i7182,1936,559.41015625,533.9030811543367,-1,0.9949226366989402,4681045
1745481531,1745482682,1151,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2792 feature_id 8 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 30,2792,8,5000,str\(\'H\'\),1,str\(\'tstat\'\),0.001,30,0.5,1142,0,None,i7181,1142,511.4765625,502.59642094017096,-1,0.14506752288742397,4682614
1745482702,1745483195,493,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4745 feature_id 5 batch_size 5000 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 33,4745,5,5000,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,33,0.54,485,0,None,i7181,485,533.21484375,520.7210477941177,-1,0.018133440360927996,4683010
1745483754,1745484858,1104,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1388 feature_id 1 batch_size 1252 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1388,1,1252,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,1,0.5,1089,0,None,i7176,1089,518.890625,511.3936866554054,-1,0.04691967248588916,4683362
1745484956,1745485628,672,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4660 feature_id 5 batch_size 2022 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 25,4660,5,2022,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,25,0.55,578,0,None,i7175,578,511.96484375,469.42200520833336,-1,0.2713270414324934,4683762
1745485708,1745486347,639,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 368 feature_id 5 batch_size 1671 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.02027304413136123 subsets 51,368,5,1671,str\(\'H\'\),1,str\(\'tstat\'\),0.02027304413136123,51,0.55,626,0,None,i7183,626,530.35546875,522.2621995192308,-1,0.16564535100900507,4684014
1745487282,1745488558,1276,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2014 feature_id 1 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 41,2014,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,41,None,None,1,None,i7175,,,,,,4684550
1745488565,1745490394,1829,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,7,1,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,0.56,1818,0,None,i7181,1818,674.296875,581.0896526834239,-1,0.1924163534618551,4684981
1745489378,1745490702,1324,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1984 feature_id 1 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 30,1984,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,30,None,None,1,None,i7180,,,,,,4685256
1745490189,1745490996,807,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4752 feature_id 5 batch_size 2540 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4373086190840272 subsets 31,4752,5,2540,str\(\'KL\'\),1,str\(\'stdev\'\),0.4373086190840272,31,0.56,792,0,None,i7185,792,532.92578125,521.842559070122,-1,0.3070595901117141,4685526
1745491308,1745492076,768,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4914 feature_id 5 batch_size 4967 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.3827056870404391 subsets 20,4914,5,4967,str\(\'KL\'\),2,str\(\'stdev\'\),0.3827056870404391,20,0.55,755,0,None,i7185,755,541.8046875,524.80859375,-1,0.23417887550909633,4685899
1745490852,1745492149,1297,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 1 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 40,5000,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,40,None,None,1,None,i7181,,,,,,4685748
1745491968,1745493278,1310,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 216 feature_id 7 batch_size 1599 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 20,216,7,1599,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,20,0.56,1297,0,None,i7185,1297,529.92578125,516.6117424242424,-1,0.13144568248829486,4686117
1745495396,1745496044,648,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 114 feature_id 5 batch_size 2169 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 38,114,5,2169,str\(\'H\'\),2,str\(\'tstat\'\),0.999,38,0.56,631,0,None,i7183,631,538.30859375,524.5728574810606,-1,0.27532002499996977,4687256
1745496055,1745496917,862,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2460 feature_id 5 batch_size 1576 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 83,2460,5,1576,str\(\'H\'\),3,str\(\'stdev\'\),0.001,83,0.55,846,0,None,i7186,846,533.8125,521.5746677442529,-1,0.27384033626651805,4687481
1745496714,1745498097,1383,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2633 feature_id 1 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 30,2633,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,30,None,None,1,None,i7180,,,,,,4687711
1745497554,1745498220,666,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4293 feature_id 5 batch_size 2783 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 71,4293,5,2783,str\(\'H\'\),1,str\(\'stdev\'\),0.999,71,0.55,651,0,None,i7181,651,529.1796875,518.6932719216418,-1,0.1581248088433162,4687987
1745498425,1745499005,580,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 41,5000,5,5000,str\(\'H\'\),2,str\(\'stdev\'\),0.999,41,0.54,568,0,None,i7175,568,532.25390625,521.9077727754237,-1,0.19342336384989864,4688278
1745499027,1745499622,595,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4436 feature_id 5 batch_size 499 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 20,4436,5,499,str\(\'H\'\),1,str\(\'tstat\'\),0.001,20,0.55,583,0,None,i7181,583,532.0625,521.1423539959017,-1,0.12487049701342237,4688573
1745499131,1745499739,608,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 596 feature_id 5 batch_size 3120 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.47854866079891806 subsets 93,596,5,3120,str\(\'H\'\),3,str\(\'tstat\'\),0.47854866079891806,93,0.54,549,0,None,i7174,549,510.06640625,492.48704769736844,-1,0.2263053357043814,4688776
1745499704,1745501050,1346,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 3633 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8274116973622405 subsets 1,5000,7,3633,str\(\'KL\'\),3,str\(\'tstat\'\),0.8274116973622405,1,0.56,1332,0,None,i7185,1332,532.51171875,522.9485294117648,-1,0.25912323606958887,4689055
1745501426,1745502045,619,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 18,1,5,5000,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,18,0.54,603,0,None,i7186,603,529.7265625,521.3224826388889,-1,0.13902304276711464,4689722
1745500526,1745502384,1858,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4061 feature_id 1 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 37,4061,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,37,None,None,1,None,i7185,,,,,,4689400
1745502264,1745503630,1366,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4125 feature_id 8 batch_size 2925 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,4125,8,2925,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,100,0.51,1352,0,None,i7182,1352,530.16796875,518.7073426177536,-1,0.173265022648667,4690163
1745503198,1745504023,825,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3441 feature_id 5 batch_size 3489 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 73,3441,5,3489,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,73,0.55,812,0,None,i7182,812,532.1875,520.8253348214286,-1,0.26150597013301485,4690639
1745503918,1745504892,974,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 928 feature_id 5 batch_size 2193 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 69,928,5,2193,str\(\'H\'\),1,str\(\'stdev\'\),0.001,69,0.55,958,0,None,i7183,958,535.25390625,523.8283242984694,-1,0.3154819687113531,4691038
1745506465,1745507125,660,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4937 feature_id 5 batch_size 3751 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4517586139710417 subsets 63,4937,5,3751,str\(\'H\'\),3,str\(\'stdev\'\),0.4517586139710417,63,0.55,645,0,None,i7181,645,537.8046875,522.5082206156717,-1,0.27207413917536366,4692407
1745507288,1745508000,712,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4562 feature_id 5 batch_size 974 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5495825613502446 subsets 51,4562,5,974,str\(\'H\'\),1,str\(\'tstat\'\),0.5495825613502446,51,0.55,699,0,None,i7176,699,530.36328125,520.8964301215278,-1,0.2366087565174607,4692882
1745508307,1745509529,1222,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1130 feature_id 7 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 79,1130,7,5000,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,79,0.56,1210,0,None,i7185,1210,533.3125,520.8518483231708,-1,0.14506752288742397,4693503
1745509405,1745510627,1222,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 2905 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 28,5000,7,2905,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,28,0.56,1211,0,None,i7183,1211,540.90234375,524.0283917682926,-1,0.25285269239277997,4694054
1745510025,1745511482,1457,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3397 feature_id 1 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 28,3397,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,28,None,None,1,None,i7183,,,,,,4694363
1745513640,1745514293,653,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4950 feature_id 5 batch_size 4654 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 74,4950,5,4654,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,74,0.55,642,0,None,i7181,642,529.65234375,520.4761543843283,-1,0.1294026482076303,4696272
1745514409,1745515224,815,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3853 feature_id 5 batch_size 852 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 56,3853,5,852,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,56,0.55,792,0,None,i7185,792,530.91796875,519.6342892530488,-1,0.13492730303759304,4696642
1745515167,1745515807,640,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2897 feature_id 5 batch_size 892 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 45,2897,5,892,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,45,0.55,630,0,None,i7186,630,528.29296875,520.232391826923,-1,0.15096693548484588,4697019
1745515748,1745517160,1412,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4115 feature_id 1 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 23,4115,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,23,None,None,1,None,i7176,,,,,,4697339
1745516569,1745517338,769,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 1968 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,5,1968,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,0.55,753,0,None,i7185,753,533.39453125,522.335687099359,-1,0.28783451664105825,4697757
1745517470,1745518140,670,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 3028 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.7255595635378164 subsets 100,1,5,3028,str\(\'KL\'\),3,str\(\'stdev\'\),0.7255595635378164,100,0.55,660,0,None,i7186,660,542.0546875,523.5483111213235,-1,0.22329276681241922,4698164
1745518388,1745519594,1206,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,7,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,0.56,1191,0,None,i7186,1191,540.3046875,524.2224321209017,-1,0.24782368493268261,4698589
1745519342,1745519964,622,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 49,5000,5,5000,str\(\'H\'\),1,str\(\'stdev\'\),0.999,49,0.54,605,0,None,i7185,605,534.9296875,521.1302083333334,-1,0.018133440360927996,4699022
1745520061,1745520358,297,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2091 feature_id 3 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 13,2091,3,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,13,0.5,286,0,None,i7186,286,535.37109375,520.5598538306451,-1,0.24782368493268261,4699380
1745520934,1745521220,286,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4813 feature_id 3 batch_size 1697 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6276648477824255 subsets 28,4813,3,1697,str\(\'H\'\),1,str\(\'tstat\'\),0.6276648477824255,28,0.51,271,0,None,i7176,271,539.15234375,521.7645833333333,-1,0.30735939632568143,4699821
1745521713,1745522588,875,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 1901 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5608052326429461 subsets 23,5000,5,1901,str\(\'H\'\),2,str\(\'tstat\'\),0.5608052326429461,23,0.55,857,0,None,i7182,857,534.35546875,520.8971502130681,-1,0.23199077370554436,4700254
1745523514,1745523527,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,5,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7180,,,,,,4701179
1745522611,1745523801,1190,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1575 feature_id 7 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 21,1575,7,5000,str\(\'H\'\),2,str\(\'stdev\'\),0.001,21,0.56,1174,0,None,i7180,1174,536.84765625,522.5291666666667,-1,0.24782368493268261,4700708
1745524491,1745525116,625,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3143 feature_id 5 batch_size 4030 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 56,3143,5,4030,str\(\'H\'\),2,str\(\'stdev\'\),0.999,56,0.55,611,0,None,i7176,611,534.01171875,518.2219742063492,-1,0.20461774103271152,4701728
1745525579,1745526316,737,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 3924 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,5,3924,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,0.55,727,0,None,i7182,727,538.44140625,523.004375,-1,0.2656476479114508,4702265
1745526481,1745527188,707,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 74 feature_id 5 batch_size 1013 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 30,74,5,1013,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,30,0.56,696,0,None,i7182,696,531.4375,521.5320638020834,-1,0.31594981147266504,4702718
1745528612,1745528663,51,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1304 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1304,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,None,None,1,None,i7176,,,,,,4703732
1745529454,1745530178,724,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 360 feature_id 5 batch_size 4311 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 63,360,5,4311,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,63,0.55,711,0,None,i7186,711,529.80859375,523.229465793919,-1,0.23973133494761248,4704134
1745530382,1745531179,797,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 1400 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 33,5000,5,1400,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,33,0.55,780,0,None,i7185,780,535.8671875,520.904736328125,-1,0.28530067057462455,4704589
1745537074,1745537087,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.121783050596294 subsets 1,5000,5,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.121783050596294,1,None,None,1,None,i7185,,,,,,4707836
1745539353,1745539367,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4462 feature_id 5 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 58,4462,5,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,58,None,None,1,None,i7181,,,,,,4708983
1745541004,1745541615,611,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3529 feature_id 5 batch_size 4598 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 59,3529,5,4598,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,59,0.55,601,0,None,i7180,601,525.6015625,519.0495411706349,-1,0.12784559012863864,4709725
1745541794,1745542492,698,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 2370 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 15,5000,5,2370,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,15,0.55,684,0,None,i7182,684,530.26953125,520.9922975352113,-1,0.2779131069715825,4710116
1745543164,1745543611,447,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 2150 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 63,5000,3,2150,str\(\'H\'\),1,str\(\'stdev\'\),0.001,63,0.51,438,0,None,i7178,438,535.87890625,523.7303838315217,-1,0.3588619936387891,4710792
1745544355,1745544639,284,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1516 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 21,1,3,1516,str\(\'H\'\),2,str\(\'stdev\'\),0.001,21,0.51,274,0,None,i7181,274,540.140625,521.0204427083333,-1,0.2486614498773575,4711361
1745545536,1745546331,795,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2231 feature_id 5 batch_size 3826 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 30,2231,5,3826,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,30,0.55,779,0,None,i7186,779,531.734375,521.75791015625,-1,0.12950661326569962,4711889
1745546825,1745548037,1212,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 868 feature_id 5 batch_size 1656 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 77,868,5,1656,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,77,0.55,1197,0,None,i7183,1197,534.28125,524.2562115778688,-1,0.3543419314048218,4712566
1745547796,1745548330,534,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1508 feature_id 3 batch_size 1964 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1508,3,1964,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.51,515,0,None,i7186,515,563.11328125,530.7243200231482,-1,0.9686605794722202,4713041
1745548776,1745549548,772,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4456 feature_id 5 batch_size 3480 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4456,5,3480,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,0.56,763,0,None,i7180,763,545.35546875,526.8212025316456,-1,0.49821143833240045,4713482
1745549676,1745550808,1132,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 3631 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.28467496195294145 subsets 51,1,7,3631,str\(\'H\'\),3,str\(\'stdev\'\),0.28467496195294145,51,0.56,1119,0,None,i7182,1119,534.35546875,518.2134731359649,-1,0.2370330790219064,4713883
1745550836,1745551480,644,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4596 feature_id 5 batch_size 2416 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 47,4596,5,2416,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,47,0.55,633,0,None,i7182,633,530.21484375,515.742246685606,-1,0.27454512264854614,4714420
1745551977,1745553232,1255,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,7,5000,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,0.56,1149,0,None,i7178,1149,489.84765625,429.66112446581195,-1,0.24782368493268261,4714950
1745553037,1745553667,630,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 106 feature_id 5 batch_size 3607 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 36,106,5,3607,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,36,0.55,617,0,None,i7181,617,533.109375,522.0767211914062,-1,0.20494293406318417,4715450
1745553778,1745554549,771,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3434 feature_id 5 batch_size 1948 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 23,3434,5,1948,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,23,0.56,759,0,None,i7185,759,536.40625,521.1576021634615,-1,0.36501406550523996,4715781
1745554798,1745555042,244,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 773 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 24,5000,3,773,str\(\'H\'\),1,str\(\'tstat\'\),0.001,24,0.5,232,0,None,i7180,232,539.48828125,521.8787560096154,-1,0.16540236290816862,4716301
1745556298,1745557100,802,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 4185 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.2018802699337623 subsets 1,1,5,4185,str\(\'H\'\),3,str\(\'stdev\'\),0.2018802699337623,1,0.55,787,0,None,i7180,787,541.421875,523.3613040123457,-1,0.2580207228956445,4717012
1745557119,1745557825,706,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 4188 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 56,5000,5,4188,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,56,0.55,676,0,None,i7178,676,507.32421875,408.263671875,-1,0.3392113887676635,4717384
1745558200,1745560346,2146,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4205 feature_id 9 batch_size 2177 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4205,9,2177,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,0.53,2135,0,None,i7182,2135,511.30859375,486.5436017071759,-1,0.9950229750689373,4717868
1745560301,1745560696,395,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 770 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 21,5000,3,770,str\(\'H\'\),2,str\(\'stdev\'\),0.001,21,0.5,378,0,None,i7186,378,542.78125,522.528125,-1,0.25039863346393443,4718803
1745559429,1745560894,1465,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 2491 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 16,1,9,2491,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,16,0.52,1452,0,None,i7182,1452,516.05859375,499.9942461993243,-1,0.40653359945164474,4718412
1745561061,1745561721,660,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 378 feature_id 5 batch_size 2987 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.3461775278704649 subsets 28,378,5,2987,str\(\'KL\'\),2,str\(\'stdev\'\),0.3461775278704649,28,0.55,647,0,None,i7181,647,529.16015625,520.6587569962686,-1,0.2672119593665868,4719137
1745562163,1745562780,617,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 2226 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 45,5000,5,2226,str\(\'H\'\),2,str\(\'stdev\'\),0.999,45,0.55,607,0,None,i7181,607,541.61328125,521.187748015873,-1,0.19375218356844345,4719624
1745563331,1745564008,677,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 320 feature_id 5 batch_size 4559 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 39,320,5,4559,str\(\'H\'\),2,str\(\'tstat\'\),0.001,39,0.55,651,0,None,i7182,651,511.359375,481.3737362132353,-1,0.14880663828984733,4720156
1745564379,1745564392,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2667 feature_id 5 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 14,2667,5,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,14,None,None,1,None,i7180,,,,,,4720652
1745565460,1745565839,379,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2789 feature_id 3 batch_size 1856 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 41,2789,3,1856,str\(\'H\'\),1,str\(\'tstat\'\),0.999,41,0.5,367,0,None,i7180,367,533.13671875,520.7111378205128,-1,0.3589937633054119,4721206
1745566560,1745567240,680,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1604 feature_id 5 batch_size 4592 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 75,1604,5,4592,str\(\'H\'\),1,str\(\'stdev\'\),0.999,75,0.55,669,0,None,i7182,669,530.875,521.345504981884,-1,0.14433251410479436,4721719
1745567760,1745567877,117,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 199 feature_id 2 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 43,199,2,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,43,None,None,1,None,i7185,,,,,,4722233
1745569020,1745569647,627,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 4061 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 43,5000,5,4061,str\(\'H\'\),1,str\(\'stdev\'\),0.999,43,0.55,611,0,None,i7178,611,529.71484375,518.6102294921875,-1,0.06873057455201335,4722781
1745569900,1745570493,593,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 3789 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 61,1,5,3789,str\(\'H\'\),3,str\(\'stdev\'\),0.001,61,0.55,583,0,None,i7170,583,540.8828125,524.215612192623,-1,0.288571943215736,4723187
1745571241,1745571854,613,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 2740 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 70,1,5,2740,str\(\'H\'\),3,str\(\'tstat\'\),0.999,70,0.55,604,0,None,i7181,604,542.4140625,525.7295386904761,-1,0.29480138442772674,4723793
1745572345,1745574414,2069,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 3365 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 59,1,9,3365,str\(\'H\'\),1,str\(\'tstat\'\),0.999,59,0.53,2056,0,None,i7186,2056,543.3515625,525.5940317007212,-1,0.3945897067339135,4724255
1745574782,1745575553,771,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2761 feature_id 5 batch_size 1434 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7227893539906879 subsets 33,2761,5,1434,str\(\'KL\'\),1,str\(\'stdev\'\),0.7227893539906879,33,0.55,754,0,None,i7180,754,530.203125,521.4892327724359,-1,0.21081091536398047,4725365
1745575882,1745575896,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 127 feature_id 5 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 35,127,5,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,35,None,None,1,None,i7180,,,,,,4725862
1745577362,1745578128,766,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2678 feature_id 5 batch_size 2831 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2678,5,2831,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,1,0.55,750,0,None,i7185,750,537.59765625,522.4869622564935,-1,0.15742969362948062,4726500
1745582842,1745583149,307,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1169 feature_id 3 batch_size 948 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 29,1169,3,948,str\(\'H\'\),1,str\(\'stdev\'\),0.001,29,0.5,296,0,None,i7183,296,543.6953125,521.1812744140625,-1,0.41588561909378735,4728927
1745583642,1745583662,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1,9,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,None,None,1,None,i7183,,,,,,4729290
1745585024,1745586252,1228,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 105 feature_id 9 batch_size 3966 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 25,105,9,3966,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,25,0.52,1218,0,None,i7182,1218,531.20703125,521.3511214717741,-1,0.2636964897286149,4729895
1745586106,1745587598,1492,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1813 feature_id 9 batch_size 3552 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 31,1813,9,3552,str\(\'H\'\),2,str\(\'tstat\'\),0.001,31,0.52,1472,0,None,i7178,1472,514.6640625,446.0061979166667,-1,0.15028995371137124,4730366
1745587004,1745588271,1267,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 189 feature_id 7 batch_size 1589 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.46105049263200193 subsets 29,189,7,1589,str\(\'KL\'\),1,str\(\'tstat\'\),0.46105049263200193,29,0.56,1252,0,None,i7178,1252,510.6171875,452.7935791015625,-1,0.2862194315529116,4730763
1745588066,1745589125,1059,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1211 feature_id 5 batch_size 384 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1211,5,384,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.56,1044,0,None,i7182,1044,523.953125,507.4729483060748,-1,0.9975048386063363,4731223
1745589045,1745589778,733,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 331 feature_id 5 batch_size 381 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 80,331,5,381,str\(\'H\'\),3,str\(\'tstat\'\),0.001,80,0.55,719,0,None,i7185,719,526.53125,518.352512668919,-1,0.1306937491613284,4731627
1745590085,1745590334,249,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4920 feature_id 3 batch_size 1855 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4108548710252553 subsets 20,4920,3,1855,str\(\'KL\'\),1,str\(\'tstat\'\),0.4108548710252553,20,0.5,237,0,None,i7183,237,533.3671875,520.46875,-1,0.2666836718040718,4732068
1745591186,1745591454,268,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 226 feature_id 3 batch_size 1709 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4356176863736886 subsets 24,226,3,1709,str\(\'KL\'\),1,str\(\'tstat\'\),0.4356176863736886,24,0.5,255,0,None,i7183,255,535.3359375,522.2889229910714,-1,0.3095499159212815,4732516
1745592225,1745593001,776,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 554 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 19,1,5,554,str\(\'H\'\),1,str\(\'tstat\'\),0.999,19,0.56,760,0,None,i7183,760,536.1171875,524.8290264423077,-1,0.36057620820090885,4732916
1745595796,1745596437,641,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1,5,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,100,0.55,631,0,None,i7180,631,539.74609375,524.2308238636364,-1,0.2840905656545386,4734451
1745594986,1745596569,1583,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1900 feature_id 1 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 35,1900,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,35,None,None,1,None,i7181,,,,,,4734079
1745596847,1745596860,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 524 feature_id 5 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 33,524,5,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,33,None,None,1,None,i7176,,,,,,4734921
1745593666,1745597219,3553,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1723 feature_id 5 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 35,1723,5,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,35,0.54,3540,0,None,i7181,3540,703.8203125,592.3314058110955,-1,0.021320090280355076,4733529
1745598049,1745598621,572,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 3112 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5165360516815213 subsets 100,1,5,3112,str\(\'H\'\),3,str\(\'tstat\'\),0.5165360516815213,100,0.55,561,0,None,i7175,561,535.4609375,522.8558659957627,-1,0.2558217410278759,4735401
1745599029,1745599832,803,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3048 feature_id 5 batch_size 1089 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 58,3048,5,1089,str\(\'H\'\),2,str\(\'stdev\'\),0.001,58,0.55,791,0,None,i7176,791,534.484375,522.5902777777778,-1,0.26593052958108127,4735797
1745599998,1745600780,782,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3781 feature_id 5 batch_size 726 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 47,3781,5,726,str\(\'H\'\),3,str\(\'stdev\'\),0.001,47,0.55,771,0,None,i7185,771,532.8828125,520.0730814873418,-1,0.2536433103925165,4736198
1745601228,1745602717,1489,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4479 feature_id 7 batch_size 1413 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.490125509108255 subsets 42,4479,7,1413,str\(\'H\'\),2,str\(\'tstat\'\),0.490125509108255,42,0.56,1478,0,None,i7185,1478,537.09375,523.1,-1,0.25551709922981236,4736676
1745602248,1745603747,1499,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4615 feature_id 7 batch_size 3065 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.4966344821760181 subsets 80,4615,7,3065,str\(\'H\'\),2,str\(\'tstat\'\),0.4966344821760181,80,0.56,1490,0,None,i7186,1490,538.3671875,522.1133847268212,-1,0.2704844409037223,4737080
1745603358,1745604113,755,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4188 feature_id 5 batch_size 1567 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 58,4188,5,1567,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,58,0.55,747,0,None,i7181,747,536.828125,523.3348721590909,-1,0.2798400872339371,4737545
1745605548,1745606276,728,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3227 feature_id 5 batch_size 1308 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.21161391664246706 subsets 1,3227,5,1308,str\(\'H\'\),2,str\(\'stdev\'\),0.21161391664246706,1,0.56,714,0,None,i7180,714,542.703125,525.748046875,-1,0.49808933983397025,4738512
1745606350,1745606967,617,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 811 feature_id 5 batch_size 945 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.0019769155183473417 subsets 100,811,5,945,str\(\'KL\'\),3,str\(\'tstat\'\),0.0019769155183473417,100,0.55,607,0,None,i7180,607,532.2265625,520.8072916666666,-1,0.15523554734580833,4738844
1745607529,1745608714,1185,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4072 feature_id 9 batch_size 3679 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,4072,9,3679,str\(\'H\'\),3,str\(\'stdev\'\),0.999,1,0.51,1172,0,None,i7183,1172,530.875,520.5384765625,-1,0.15121596806580262,4739320
1745608609,1745609364,755,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 805 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,5,805,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,100,0.55,742,0,None,i7185,742,532.90234375,521.1059253246754,-1,0.25594142173425805,4739778
1745609793,1745610228,435,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4582 feature_id 3 batch_size 1391 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 4,4582,3,1391,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,4,0.51,302,0,None,i7078,302,530.79296875,506.30752840909093,-1,0.4809302696684361,4740804
1745612571,1745612584,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3104 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,3104,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,100,None,None,1,None,i7181,,,,,,4742464
1745613491,1745614143,652,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1769 feature_id 5 batch_size 3399 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 34,1769,5,3399,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,34,0.55,639,0,None,i7181,639,532.6484375,521.4846709280303,-1,0.16847054101723766,4742855
1745614312,1745614972,660,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2004 feature_id 5 batch_size 829 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 10,2004,5,829,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,10,0.55,648,0,None,i7180,648,530.64453125,520.5981226679105,-1,0.14531534657235665,4743195
1745615573,1745616513,940,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2726 feature_id 5 batch_size 2622 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2726,5,2622,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,0.55,927,0,None,i7185,927,536.44140625,523.3144325657895,-1,0.4984000261121541,4743728
1745616611,1745616887,276,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4971 feature_id 3 batch_size 2730 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.13117920624553173 subsets 28,4971,3,2730,str\(\'KL\'\),1,str\(\'stdev\'\),0.13117920624553173,28,0.51,263,0,None,i7180,263,536.921875,522.9415409482758,-1,0.3012097422512787,4744166
1745617893,1745619589,1696,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2988 feature_id 1 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 20,2988,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,20,None,None,1,None,i7178,,,,,,4744667
1745619233,1745620040,807,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3264 feature_id 5 batch_size 1253 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 38,3264,5,1253,str\(\'H\'\),2,str\(\'stdev\'\),0.001,38,0.55,794,0,None,i7185,794,532.01171875,521.6927877286586,-1,0.28538529329630885,4745234
1745620632,1745621250,618,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 989 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,5,989,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,0.55,604,0,None,i7183,604,538.08984375,523.6622643849206,-1,0.26781398958656966,4745798
1745621955,1745622995,1040,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 3415 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 59,5000,7,3415,str\(\'H\'\),3,str\(\'tstat\'\),0.001,59,0.56,1028,0,None,i7180,1028,538.05078125,522.6390625,-1,0.13210815750948077,4746337
1745624393,1745624413,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3035 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,3035,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,None,None,1,None,i7180,,,,,,4747359
1745626854,1745628489,1635,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2531 feature_id 7 batch_size 3883 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2531,7,3883,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,0.56,1619,0,None,i7186,1619,530.9140625,520.641387195122,-1,0.2910368822087981,4748334
1745628055,1745628780,725,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4304 feature_id 5 batch_size 1315 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4304,5,1315,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,1,0.55,699,0,None,i7176,699,528.859375,518.34912109375,-1,0.27578061438513735,4748815
1745634556,1745634576,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 552 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,552,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,None,None,1,None,i7183,,,,,,4751352
1745635827,1745636873,1046,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3135 feature_id 5 batch_size 3515 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 46,3135,5,3515,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,46,0.56,1031,0,None,i7186,1031,532.02734375,519.9912202380953,-1,0.3739357181628165,4751847
1745637216,1745637236,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4031 feature_id 5 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9203040986094898 subsets 100,4031,5,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.9203040986094898,100,None,None,1,None,i7183,,,,,,4752370
1745638616,1745638635,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3589 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,3589,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,100,None,None,1,None,i7181,,,,,,4752941
1745639837,1745640157,320,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4332 feature_id 3 batch_size 2620 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 28,4332,3,2620,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,28,0.5,309,0,None,i7176,309,532.2421875,518.5870028409091,-1,0.2533846066433672,4753474
1745641375,1745642437,1062,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3713 feature_id 7 batch_size 4657 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.3851679904259394 subsets 27,3713,7,4657,str\(\'KL\'\),2,str\(\'tstat\'\),0.3851679904259394,27,0.56,1051,0,None,i7183,1051,532.46875,521.6049941588785,-1,0.21956332257818836,4754066
1745643117,1745643130,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2003 feature_id 5 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 83,2003,5,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,83,None,None,1,None,i7183,,,,,,4754750
1745644578,1745645296,718,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4556 feature_id 5 batch_size 1077 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 39,4556,5,1077,str\(\'H\'\),1,str\(\'tstat\'\),0.001,39,0.46,707,0,None,i7185,707,531.58203125,520.793129280822,-1,0.0989505573615119,4755315
1745645657,1745647106,1449,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9434032843619018 subsets 53,1,7,5000,str\(\'H\'\),1,str\(\'tstat\'\),0.9434032843619018,53,0.56,1438,0,None,i7185,1438,545.53515625,526.1330265410959,-1,0.38080224757948794,4755729
1745647357,1745647377,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 95,1,5,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,95,None,None,1,None,i7185,,,,,,4756386
1745649017,1745650112,1095,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 3744 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 44,5000,7,3744,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,44,0.56,1085,0,None,i7181,1085,523.97265625,509.68303068693695,-1,0.24893586927481953,4757023
1745650378,1745651063,685,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4878 feature_id 5 batch_size 1049 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 74,4878,5,1049,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,74,0.55,677,0,None,i7183,677,531.44140625,520.1734375,-1,0.248553858131216,4757584
1745651838,1745652952,1114,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2482 feature_id 7 batch_size 1528 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.6360929722122706 subsets 100,2482,7,1528,str\(\'H\'\),3,str\(\'stdev\'\),0.6360929722122706,100,0.56,1103,0,None,i7181,1103,539.39453125,522.0056001106195,-1,0.22294097806941723,4758142
1745653278,1745653298,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 466 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,466,9,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,100,None,None,1,None,i7186,,,,,,4758673
1745657179,1745657198,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4187 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,4187,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,None,None,1,None,i7183,,,,,,4760112
1745655859,1745657816,1957,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3850 feature_id 1 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,3850,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7180,,,,,,4759630
1745659458,1745659471,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3455 feature_id 9 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 68,3455,9,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,68,None,None,1,None,i7183,,,,,,4760956
1745660621,1745660640,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3740 feature_id 9 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 93,3740,9,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,93,None,None,1,None,i7185,,,,,,4761411

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/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4627361/4627361_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4637837/4637837_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4638081/4638081_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4640670/4640670_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4644688/4644688_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4646100/4646100_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4651659/4651659_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4655759/4655759_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4657449/4657449_0_log.err not found


⚠ Job 4655233 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4655233/4655233_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4655233/4655233_0_log.out
----------------------------------------
submitit INFO (2025-04-23 22:41:02,893) - Starting with JobEnvironment(job_id=4655233, hostname=i7175, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-23 22:41:02,907) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4655233/4655233_submitted.pkl
slurmstepd: error: *** JOB 4655233 ON i7175 CANCELLED AT 2025-04-24T00:41:06 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4655233/4655233_0_log.err not found


⚠ Job 4659398 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4659398/4659398_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4659398/4659398_0_log.out
----------------------------------------
submitit INFO (2025-04-24 00:19:06,140) - Starting with JobEnvironment(job_id=4659398, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-24 00:19:06,161) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4659398/4659398_submitted.pkl
slurmstepd: error: *** JOB 4659398 ON i7180 CANCELLED AT 2025-04-24T02:19:07 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4659398/4659398_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4672703/4672703_0_log.err not found


⚠ Job 4673643 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673643/4673643_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673643/4673643_0_log.out
----------------------------------------
submitit INFO (2025-04-24 06:02:12,090) - Starting with JobEnvironment(job_id=4673643, hostname=i7174, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-24 06:02:12,092) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673643/4673643_submitted.pkl
slurmstepd: error: *** JOB 4673643 ON i7174 CANCELLED AT 2025-04-24T08:02:15 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673643/4673643_0_log.err not found


⚠ Job 4673960 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673960/4673960_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673960/4673960_0_log.out
----------------------------------------
submitit INFO (2025-04-24 06:11:13,135) - Starting with JobEnvironment(job_id=4673960, hostname=i7175, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-24 06:11:13,137) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673960/4673960_submitted.pkl
slurmstepd: error: *** JOB 4673960 ON i7175 CANCELLED AT 2025-04-24T08:11:15 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673960/4673960_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4679802/4679802_0_log.err not found


⚠ Job 4679082 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4679082/4679082_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4679082/4679082_0_log.out
----------------------------------------
submitit INFO (2025-04-24 08:29:34,716) - Starting with JobEnvironment(job_id=4679082, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-24 08:29:34,722) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4679082/4679082_submitted.pkl
slurmstepd: error: *** JOB 4679082 ON i7186 CANCELLED AT 2025-04-24T10:29:51 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4679082/4679082_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684550/4684550_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685256/4685256_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685748/4685748_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687711/4687711_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4689400/4689400_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4694363/4694363_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4697339/4697339_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4701179/4701179_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4703732/4703732_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4707836/4707836_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708983/4708983_0_log.err not found


⚠ Job 4707505 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4707505/4707505_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4707505/4707505_0_log.out
----------------------------------------
submitit INFO (2025-04-25 01:12:49,927) - Starting with JobEnvironment(job_id=4707505, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-25 01:12:49,929) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4707505/4707505_submitted.pkl
slurmstepd: error: *** JOB 4707505 ON i7182 CANCELLED AT 2025-04-25T03:13:03 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4707505/4707505_0_log.err not found


⚠ Job 4708297 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708297/4708297_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708297/4708297_0_log.out
----------------------------------------
submitit INFO (2025-04-25 01:38:50,939) - Starting with JobEnvironment(job_id=4708297, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-25 01:38:50,971) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708297/4708297_submitted.pkl
slurmstepd: error: *** JOB 4708297 ON i7180 CANCELLED AT 2025-04-25T03:39:03 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708297/4708297_0_log.err not found


⚠ Job 4708630 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708630/4708630_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708630/4708630_0_log.out
----------------------------------------
submitit INFO (2025-04-25 01:50:00,477) - Starting with JobEnvironment(job_id=4708630, hostname=i7178, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-25 01:50:00,480) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708630/4708630_submitted.pkl
slurmstepd: error: *** JOB 4708630 ON i7178 CANCELLED AT 2025-04-25T03:50:03 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708630/4708630_0_log.err not found


⚠ Job 4709381 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709381/4709381_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709381/4709381_0_log.out
----------------------------------------
submitit INFO (2025-04-25 02:17:34,951) - Starting with JobEnvironment(job_id=4709381, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-25 02:17:34,957) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709381/4709381_submitted.pkl
slurmstepd: error: *** JOB 4709381 ON i7185 CANCELLED AT 2025-04-25T04:17:35 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709381/4709381_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4720652/4720652_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4722233/4722233_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4725862/4725862_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4729290/4729290_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4734079/4734079_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4734921/4734921_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4742464/4742464_0_log.err not found


⚠ Job 4741586 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4741586/4741586_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4741586/4741586_0_log.out
----------------------------------------
submitit INFO (2025-04-25 22:00:17,614) - Starting with JobEnvironment(job_id=4741586, hostname=i7004, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-25 22:00:17,617) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4741586/4741586_submitted.pkl
slurmstepd: error: *** JOB 4741586 ON i7004 CANCELLED AT 2025-04-26T00:00:43 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4741586/4741586_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4744667/4744667_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747359/4747359_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4751352/4751352_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752370/4752370_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752941/4752941_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4754750/4754750_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4756386/4756386_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758673/4758673_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4759630/4759630_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760112/4760112_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760956/4760956_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761411/4761411_0_log.err not found


⚠ Job 4760542 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760542/4760542_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760542/4760542_0_log.out
----------------------------------------
submitit INFO (2025-04-26 11:05:56,494) - Starting with JobEnvironment(job_id=4760542, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-26 11:05:56,496) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760542/4760542_submitted.pkl
slurmstepd: error: *** JOB 4760542 ON i7181 CANCELLED AT 2025-04-26T13:06:13 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760542/4760542_0_log.err not found

Copy raw data to clipboard

Download »oo_errors.txt« as file

Arguments Overview:

Copy raw data to clipboard

Download »worker_usage.csv« as file

1745405513.242358,20,0,0
1745405525.4783006,20,0,0
1745405526.420546,20,0,0
1745405526.6253026,20,0,0
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1745405534.8428915,20,1,5
1745405536.0122027,20,1,5
1745405536.206505,20,1,5
1745405537.6932201,20,2,10
1745405547.823612,20,2,10
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1745405550.4382477,20,3,15
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1745405610.008762,20,6,30
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1745405637.0115914,20,7,35
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1745405920.4943018,20,13,65
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1745405979.0069485,20,15,75
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1745406104.7877011,20,15,75
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1745406107.4063652,20,16,80
1745406166.8106496,20,16,80
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1745406168.757172,20,16,80
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timestamp,ram_usage_mb,cpu_usage_percent
1745405513,635.8203125,26.8
1745405513,635.8203125,21.7
1745405513,635.88671875,22.3
1745405513,635.88671875,25.0
1745405513,635.88671875,24.4
1745405513,635.88671875,24.0
1745405513,635.88671875,18.6
1745406448,703.05078125,43.7
1745406448,703.05078125,48.9
1745406448,703.05078125,44.5
1745406448,703.05078125,48.9
1745418739,940.484375,42.3
1745418739,940.484375,40.4
1745418739,940.484375,40.3
1745418739,940.484375,33.3
1745431974,935.0390625,37.5
1745431974,935.0390625,40.8
1745431974,935.0390625,41.3
1745431974,935.0390625,43.9
1745448458,954.2421875,41.8
1745448458,954.2421875,37.0
1745448458,954.2421875,37.6
1745448458,954.2421875,41.2
1745468760,982.94140625,41.4
1745468761,982.94140625,39.2
1745468761,982.94140625,40.4
1745468761,982.94140625,46.5
1745491311,978.3515625,41.1
1745491311,978.3515625,42.7
1745491311,978.3515625,42.4
1745491311,978.3515625,41.5
1745510065,968.484375,36.5
1745510065,968.484375,40.9
1745510065,968.484375,40.4
1745510065,968.484375,39.1
1745530406,1016.5859375,36.9
1745530406,1016.5859375,39.1
1745530406,1016.5859375,38.7
1745530406,1016.5859375,38.1
1745554815,1037.00390625,37.1
1745554815,1037.00390625,32.6
1745554815,1037.00390625,31.7
1745554815,1037.00390625,31.5
1745577390,1099.33203125,37.7
1745577390,1099.33203125,37.5
1745577390,1099.33203125,36.9
1745577390,1099.33203125,40.9
1745603389,1028.6171875,36.9
1745603389,1028.6171875,39.4
1745603389,1028.6171875,38.1
1745603389,1028.6171875,39.8
1745628104,1019.33203125,37.4
1745628104,1019.33203125,34.4
1745628104,1019.33203125,33.6
1745628104,1019.33203125,27.3
1745660657,1074.6796875,38.6
1745660657,1074.6796875,38.0
1745660658,1074.6796875,36.9
1745660658,1074.6796875,35.2

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Correlation Heatmap Explanation

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

How It Works

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

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

Color Scale: Yellow to Purple (Viridis)

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

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

What the Heatmap Shows

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

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

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 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='%23c5d5fc' d='M9 3h1M3 9h3'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1M8 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h3M3 8h2'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M9 6h2m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%234d6185' d='M5 6h1m5 0h1M4 7h3m3 0h3M5 8h3m1 0h3M6 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23a4b8d3' 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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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			}
			
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			.title-bar-controls button[aria-label=Help]{
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stroke='%23b5381a' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%23b8391a' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%23ba3a1b' d='M11 4h1m-8 7h2'/%3E%3Cpath stroke='%23bc3b1c' d='M12 4h1m-9 8h1'/%3E%3Cpath stroke='%23bd3c1c' d='M13 4h1m-1 1h1m-2 1h1m-7 6h1m-3 1h2'/%3E%3Cpath stroke='%23be3d1c' d='M14 4h3m-1 1h1m-1 1h1M4 14h1m-1 1h1m-1 1h2'/%3E%3Cpath stroke='%23bf3d1c' d='M17 4h3m-3 1h3m-2 1h2m-1 1h1M4 17h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%235b1d0d' d='M1 5h1'/%3E%3Cpath stroke='%239c3016' d='M3 5h1'/%3E%3Cpath stroke='%23a43217' d='M4 5h1'/%3E%3Cpath stroke='%23b8553e' d='M5 5h1'/%3E%3Cpath stroke='%23d59485' d='M6 5h1M5 6h1'/%3E%3Cpath stroke='%23b33619' d='M7 5h1'/%3E%3Cpath stroke='%23b53719' d='M8 5h1'/%3E%3Cpath stroke='%23b8381a' d='M9 5h1M6 8h1'/%3E%3Cpath stroke='%23b9391b' d='M10 5h1'/%3E%3Cpath stroke='%23ba391b' d='M11 5h1M6 9h1m-2 1h1'/%3E%3Cpath stroke='%23bc3b1b' d='M12 5h1m-2 1h1m-6 5h1m-2 1h1'/%3E%3Cpath stroke='%23dc9887' d='M14 5h1'/%3E%3Cpath stroke='%23c85d42' d='M15 5h1M5 15h1'/%3E%3Cpath stroke='%23611f0e' d='M1 6h1'/%3E%3Cpath stroke='%23a23217' d='M3 6h1'/%3E%3Cpath stroke='%23d79585' d='M6 6h1'/%3E%3Cpath stroke='%23d89585' d='M7 6h1'/%3E%3Cpath stroke='%23b8371a' d='M8 6h1'/%3E%3Cpath stroke='%23ba391a' d='M9 6h1'/%3E%3Cpath stroke='%23bb3a1b' d='M10 6h1m-5 4h1'/%3E%3Cpath stroke='%23dd9887' d='M13 6h3m-4 1h1m-2 1h1M9 9h1m-2 2h1m-2 1h1m-2 1h1m-2 1h2'/%3E%3Cpath stroke='%23c03e1d' d='M17 6h1m-2 1h3m0 1h1m-1 1h1M7 16h1m-2 1h2m0 1h1'/%3E%3Cpath stroke='%2365200e' d='M1 7h1'/%3E%3Cpath stroke='%23902d15' d='M2 7h1'/%3E%3Cpath stroke='%23a73418' d='M3 7h1'/%3E%3Cpath stroke='%23af3518' d='M4 7h1'/%3E%3Cpath stroke='%23b43619' d='M5 7h1'/%3E%3Cpath stroke='%23d99585' d='M6 7h1'/%3E%3Cpath stroke='%23da9686' d='M7 7h1'/%3E%3Cpath stroke='%23db9686' d='M8 7h1M7 8h1'/%3E%3Cpath stroke='%23bc3a1b' d='M9 7h1M7 9h1'/%3E%3Cpath stroke='%23bd3b1b' d='M10 7h1m-4 3h1'/%3E%3Cpath stroke='%23be3c1c' d='M11 7h1m-2 1h1m-3 2h1m-2 1h1'/%3E%3Cpath stroke='%23de9987' d='M13 7h2m-3 1h2m-4 1h2m-3 1h1m-2 2h1m-2 2h1'/%3E%3Cpath stroke='%23c03f1d' d='M15 7h1m-9 8h1'/%3E%3Cpath stroke='%236a220f' d='M1 8h1'/%3E%3Cpath stroke='%23952f15' d='M2 8h1'/%3E%3Cpath stroke='%23ac3518' d='M3 8h1'/%3E%3Cpath stroke='%23b63719' d='M5 8h1'/%3E%3Cpath stroke='%23dc9786' d='M8 8h2M8 9h1'/%3E%3Cpath stroke='%23c2401d' d='M14 8h1m2 0h1m1 3h1M8 14h1m-1 2h1m-1 1h1m0 1h1m1 1h1'/%3E%3Cpath stroke='%23c2401e' d='M15 8h2m1 1h1M8 15h1'/%3E%3Cpath stroke='%23c13f1d' d='M18 8h1m0 2h1M9 19h2'/%3E%3Cpath stroke='%23702410' d='M1 9h1'/%3E%3Cpath stroke='%239b3016' d='M2 9h1'/%3E%3Cpath stroke='%23b03619' d='M3 9h1'/%3E%3Cpath stroke='%23b9381a' d='M5 9h1'/%3E%3Cpath stroke='%23df9a88' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23c4421e' d='M13 9h1m2 0h2m0 1h1M9 13h1m9 1h1m-1 1h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h3'/%3E%3Cpath stroke='%23c5431e' d='M14 9h1'/%3E%3Cpath stroke='%23c5431f' d='M15 9h1m-4 1h1m5 1h1m-9 1h1m-2 2h1m-1 1h1m0 2h1m0 1h1m6 0h1'/%3E%3Cpath stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
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			.field-row>*+*{
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			[class^=field-row]+[class^=field-row]{
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			.field-row-stacked{
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				flex-direction: column
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			.field-row-stacked *+*{
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				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
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				margin-right: -1px;
				border-bottom: 1px solid transparent;
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				left: -1px;
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				width: 0;
				border-left: 1px solid #919b9c
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			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
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				padding: 2px 5px
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			@keyframes sliding{
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					transform: translateX(-30px)
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				to{
					transform: translateX(100%)
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			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
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				-webkit-box-shadow: inset 0 0 1px 0 #686868;
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				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
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				animation: sliding 2s linear 0s infinite;
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			progress:not([value])::after {
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 1px;
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				padding: 1px 2px;
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
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		</style>
	</head>
	<body>
		<script>
			var log = console.log;
			var theme = 'light';

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

			var result_names = [
			    "ACCURACY",
			    "RUNTIME"
			];
			var result_min_max = [
			    "max",
			    "min"
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			var tab_results_headers_json = [
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			    "arm_name",
			    "trial_status",
			    "generation_method",
			    "generation_node",
			    "ACCURACY",
			    "RUNTIME",
			    "recent_samples_size",
			    "feature_id",
			    "batch_size",
			    "divergence",
			    "detect_batch",
			    "statistic",
			    "significance",
			    "subsets"
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4403 feature_id 7 batch_size 4501 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.3708643972314894 subsets 70",
			        4403,
			        7,
			        4501,
			        "str\\(\\'KL\\'\\)",
			        1,
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			        0.3708643972314894,
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			        "None",
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			        1744,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3228 feature_id 9 batch_size 2688 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.3115926213469356 subsets 69",
			        3228,
			        9,
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			        "str\\(\\'H\\'\\)",
			        3,
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			        0.3115926213469356,
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			        783,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1147 feature_id 5 batch_size 370 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.9706506235543638 subsets 43",
			        1147,
			        5,
			        370,
			        "str\\(\\'H\\'\\)",
			        1,
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			        0.9706506235543638,
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			        1328,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1918 feature_id 9 batch_size 819 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.3831137031689286 subsets 55",
			        1918,
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			        "str\\(\\'H\\'\\)",
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			        0.3831137031689286,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1072 feature_id 1 batch_size 4152 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.6279783433638513 subsets 100",
			        1072,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2777 feature_id 2 batch_size 3097 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.4944491305295378 subsets 97",
			        2777,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4274 feature_id 8 batch_size 1952 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.73495517992042 subsets 51",
			        4274,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3601 feature_id 3 batch_size 1790 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.5000155988312447 subsets 53",
			        3601,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2586 feature_id 5 batch_size 4658 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.7063712623693587 subsets 22",
			        2586,
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			        0.7063712623693587,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4239 feature_id 5 batch_size 1438 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 21",
			        4239,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1021 feature_id 3 batch_size 615 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 29",
			        1021,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4332 feature_id 5 batch_size 3517 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 52",
			        4332,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1394 feature_id 7 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 66",
			        1394,
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			        0.999,
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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 \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1227 feature_id 3 batch_size 1481 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1227,
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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 \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 994 feature_id 7 batch_size 349 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 71",
			        994,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4146 feature_id 9 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 54",
			        4146,
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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 \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2695 feature_id 5 batch_size 1295 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 15",
			        2695,
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			        "str\\(\\'H\\'\\)",
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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 \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4649 feature_id 5 batch_size 2343 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.5613555880913013 subsets 86",
			        4649,
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			        331,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 772 feature_id 3 batch_size 4304 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.0975093349293594 subsets 29",
			        772,
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			    [
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			        1419,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3594 feature_id 1 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 45",
			        3594,
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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 \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2271 feature_id 8 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        2271,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4306 feature_id 5 batch_size 4386 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 83",
			        4306,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 199 feature_id 7 batch_size 2148 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 68",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4816 feature_id 5 batch_size 4869 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 12",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 857 feature_id 5 batch_size 903 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 71",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4967 feature_id 3 batch_size 2354 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.5152206783690636 subsets 14",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 891 feature_id 7 batch_size 4952 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.2952184400790203 subsets 39",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3882 feature_id 5 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 100",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3570 feature_id 5 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.6279988585259226 subsets 17",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1197 feature_id 5 batch_size 4146 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.316223559161507 subsets 54",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 415 feature_id 9 batch_size 4889 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 48",
			        415,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 809 feature_id 7 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.5269705064559008 subsets 73",
			        809,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2952 feature_id 3 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 83",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 1831 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) 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 \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 1569 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 89",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1494 feature_id 3 batch_size 4509 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3825 feature_id 7 batch_size 126 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 26",
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			        5000,
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			        5000,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 1364 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 65",
			        5000,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1889 feature_id 7 batch_size 2474 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.32483205461671566 subsets 28",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 3068 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 88",
			        5000,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 1943 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 398 feature_id 7 batch_size 2150 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 46",
			        398,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4517 feature_id 5 batch_size 1866 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.680669102091111 subsets 14",
			        4517,
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			        4748,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4913 feature_id 3 batch_size 4874 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.5806695943795288 subsets 45",
			        4913,
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			        5000,
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			        3257,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4659 feature_id 5 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.5481126855468482 subsets 85",
			        4659,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3158 feature_id 5 batch_size 2852 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.7458036889156814 subsets 63",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3900 feature_id 3 batch_size 852 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 3",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1395 feature_id 6 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2792 feature_id 8 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 30",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4745 feature_id 5 batch_size 5000 divergence str\\(\\'KL\\'\\) 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 \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1388 feature_id 1 batch_size 1252 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        1388,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4660 feature_id 5 batch_size 2022 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 25",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 368 feature_id 5 batch_size 1671 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.02027304413136123 subsets 51",
			        368,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2014 feature_id 1 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 41",
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			        5000,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1984 feature_id 1 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 30",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4752 feature_id 5 batch_size 2540 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.4373086190840272 subsets 31",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4914 feature_id 5 batch_size 4967 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.3827056870404391 subsets 20",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 1 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 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 \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 216 feature_id 7 batch_size 1599 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 20",
			        216,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 114 feature_id 5 batch_size 2169 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 38",
			        114,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2460 feature_id 5 batch_size 1576 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 83",
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			        5000,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4436 feature_id 5 batch_size 499 divergence str\\(\\'H\\'\\) 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 \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 596 feature_id 5 batch_size 3120 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.47854866079891806 subsets 93",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 3633 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.8274116973622405 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3441 feature_id 5 batch_size 3489 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 73",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 928 feature_id 5 batch_size 2193 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 69",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4937 feature_id 5 batch_size 3751 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.4517586139710417 subsets 63",
			        4937,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4562 feature_id 5 batch_size 974 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.5495825613502446 subsets 51",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1130 feature_id 7 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 79",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 2905 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 28",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 1968 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        5000,
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 3028 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.7255595635378164 subsets 100",
			        1,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        1,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 49",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2091 feature_id 3 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 13",
			        2091,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4813 feature_id 3 batch_size 1697 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.6276648477824255 subsets 28",
			        4813,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 1901 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.5608052326429461 subsets 23",
			        5000,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1575 feature_id 7 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 21",
			        1575,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3143 feature_id 5 batch_size 4030 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 56",
			        3143,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 3924 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        5000,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 74 feature_id 5 batch_size 1013 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 30",
			        74,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1304 feature_id 9 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 100",
			        1304,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 360 feature_id 5 batch_size 4311 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 63",
			        360,
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			        "str\\(\\'KL\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 1400 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 33",
			        5000,
			        5,
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			        "str\\(\\'KL\\'\\)",
			        3,
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			        0.001,
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.121783050596294 subsets 1",
			        5000,
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			        "str\\(\\'KL\\'\\)",
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			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4462 feature_id 5 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 58",
			        4462,
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			        "str\\(\\'KL\\'\\)",
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			        0.999,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3529 feature_id 5 batch_size 4598 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 59",
			        3529,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 2370 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 15",
			        5000,
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			        "str\\(\\'KL\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 2150 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 63",
			        5000,
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1516 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 21",
			        1,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2231 feature_id 5 batch_size 3826 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 30",
			        2231,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 868 feature_id 5 batch_size 1656 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 77",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1508 feature_id 3 batch_size 1964 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1508,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4456 feature_id 5 batch_size 3480 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        4456,
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			        "str\\(\\'KL\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 3631 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.28467496195294145 subsets 51",
			        1,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4596 feature_id 5 batch_size 2416 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 47",
			        4596,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 106 feature_id 5 batch_size 3607 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 \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3434 feature_id 5 batch_size 1948 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 23",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 773 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 24",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 4185 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.2018802699337623 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 4188 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 56",
			        5000,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4205 feature_id 9 batch_size 2177 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 770 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 21",
			        5000,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 2491 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 16",
			        1,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 378 feature_id 5 batch_size 2987 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.3461775278704649 subsets 28",
			        378,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 2226 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 45",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 320 feature_id 5 batch_size 4559 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 39",
			        320,
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			        2667,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2789 feature_id 3 batch_size 1856 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 41",
			        2789,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1604 feature_id 5 batch_size 4592 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 75",
			        1604,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 199 feature_id 2 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 43",
			        199,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 4061 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 43",
			        5000,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 3789 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 61",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 2740 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 70",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 9 batch_size 3365 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 59",
			        1,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2761 feature_id 5 batch_size 1434 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.7227893539906879 subsets 33",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 127 feature_id 5 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 35",
			        127,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2678 feature_id 5 batch_size 2831 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1169 feature_id 3 batch_size 948 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 29",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1211 feature_id 5 batch_size 384 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
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			        1,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 5 batch_size 3112 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.5165360516815213 subsets 100",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4072 feature_id 9 batch_size 3679 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 5 batch_size 805 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4582 feature_id 3 batch_size 1391 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 4",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3135 feature_id 5 batch_size 3515 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 46",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4031 feature_id 5 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.9203040986094898 subsets 100",
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			    [
			        1745448458,
			        954.2421875,
			        41.8
			    ],
			    [
			        1745448458,
			        954.2421875,
			        37
			    ],
			    [
			        1745448458,
			        954.2421875,
			        37.6
			    ],
			    [
			        1745448458,
			        954.2421875,
			        41.2
			    ],
			    [
			        1745468760,
			        982.94140625,
			        41.4
			    ],
			    [
			        1745468761,
			        982.94140625,
			        39.2
			    ],
			    [
			        1745468761,
			        982.94140625,
			        40.4
			    ],
			    [
			        1745468761,
			        982.94140625,
			        46.5
			    ],
			    [
			        1745491311,
			        978.3515625,
			        41.1
			    ],
			    [
			        1745491311,
			        978.3515625,
			        42.7
			    ],
			    [
			        1745491311,
			        978.3515625,
			        42.4
			    ],
			    [
			        1745491311,
			        978.3515625,
			        41.5
			    ],
			    [
			        1745510065,
			        968.484375,
			        36.5
			    ],
			    [
			        1745510065,
			        968.484375,
			        40.9
			    ],
			    [
			        1745510065,
			        968.484375,
			        40.4
			    ],
			    [
			        1745510065,
			        968.484375,
			        39.1
			    ],
			    [
			        1745530406,
			        1016.5859375,
			        36.9
			    ],
			    [
			        1745530406,
			        1016.5859375,
			        39.1
			    ],
			    [
			        1745530406,
			        1016.5859375,
			        38.7
			    ],
			    [
			        1745530406,
			        1016.5859375,
			        38.1
			    ],
			    [
			        1745554815,
			        1037.00390625,
			        37.1
			    ],
			    [
			        1745554815,
			        1037.00390625,
			        32.6
			    ],
			    [
			        1745554815,
			        1037.00390625,
			        31.7
			    ],
			    [
			        1745554815,
			        1037.00390625,
			        31.5
			    ],
			    [
			        1745577390,
			        1099.33203125,
			        37.7
			    ],
			    [
			        1745577390,
			        1099.33203125,
			        37.5
			    ],
			    [
			        1745577390,
			        1099.33203125,
			        36.9
			    ],
			    [
			        1745577390,
			        1099.33203125,
			        40.9
			    ],
			    [
			        1745603389,
			        1028.6171875,
			        36.9
			    ],
			    [
			        1745603389,
			        1028.6171875,
			        39.4
			    ],
			    [
			        1745603389,
			        1028.6171875,
			        38.1
			    ],
			    [
			        1745603389,
			        1028.6171875,
			        39.8
			    ],
			    [
			        1745628104,
			        1019.33203125,
			        37.4
			    ],
			    [
			        1745628104,
			        1019.33203125,
			        34.4
			    ],
			    [
			        1745628104,
			        1019.33203125,
			        33.6
			    ],
			    [
			        1745628104,
			        1019.33203125,
			        27.3
			    ],
			    [
			        1745660657,
			        1074.6796875,
			        38.6
			    ],
			    [
			        1745660657,
			        1074.6796875,
			        38
			    ],
			    [
			        1745660658,
			        1074.6796875,
			        36.9
			    ],
			    [
			        1745660658,
			        1074.6796875,
			        35.2
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout, no_height = 0) {
				layout["width"] = get_graph_width();
				if (!no_height) {
					layout["height"] = get_graph_height();
				}
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true,
					ellipsis: false
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_node";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',
						jitter: 0.5,
						pointpos: 0
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: get_axis_title_data("Generation Method")
					},
					boxmode: 'group'
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
					let text = el.textContent.toLowerCase();
					let color = text.includes("manual") ? "green" :
						text.includes("sobol") ? "orange" :
						text.includes("saasbo") ? "pink" :
						text.includes("uniform") ? "lightblue" :
						text.includes("legacy_gpei") ? "sienna" :
						text.includes("bo_mixed") ? "aqua" :
						text.includes("randomforest") ? "darkseagreen" :
						text.includes("external_generator") ? "purple" :
						text.includes("botorch") ? "yellow" : "";
					if (color !== "") {
						el.style.backgroundColor = color;
					}
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" :
						el.textContent.includes("ABANDONED") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			function demo_mode(nr_sec = 3) {
				let i = 0;
				let tabs = $('menu[role="tablist"] > button');
			
				setInterval(() => {
					tabs.attr('aria-selected', 'false').removeClass('active');
			
					let tab = tabs.eq(i % tabs.length);
					tab.attr('aria-selected', 'true').addClass('active');
			
					tab.trigger('click');
			
					i++;
				}, nr_sec * 1000);
			}
			
			function resizePlotlyCharts() {
				const plotlyElements = document.querySelectorAll('.js-plotly-plot');
			
				if (plotlyElements.length) {
					const windowWidth = window.innerWidth;
					const windowHeight = window.innerHeight;
			
					const newWidth = windowWidth * 0.9;
					const newHeight = windowHeight * 0.9;
			
					plotlyElements.forEach(function(element, index) {
						const layout = {
							width: newWidth,
							height: newHeight,
							plot_bgcolor: 'rgba(0, 0, 0, 0)',
							paper_bgcolor: 'rgba(0, 0, 0, 0)',
						};
			
						Plotly.relayout(element, layout)
					});
				}
			
				make_text_in_parallel_plot_nicer();
				apply_theme_based_on_system_preferences();
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			
			window.addEventListener('resize', function() {
				resizePlotlyCharts();
			});
			
			"use strict";
			
			function get_row_by_index(idx) {
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
			
				var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
			
				if(trial_index_col_idx == -1) {
					error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
			
					return null;
				}
			
				for (var i = 0; i < tab_results_csv_json.length; i++) {
					var row = tab_results_csv_json[i];
					var trial_index = row[trial_index_col_idx];
			
					if (trial_index == idx) {
						return row;
					}
				}
			
				return null;
			}
			
			function load_pareto_graph_from_idxs () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				if(pareto_idxs === null) {
					var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
					$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
					return;	
				}
			
				var table = get_pareto_table_data_from_idx();
			
				var html_tables = createParetoTablesFromData(table);
			
				$("#pareto_from_idxs_table").html(html_tables);
			
				renderParetoFrontPlots(table);
			
				apply_theme_based_on_system_preferences();
			}
			
			function renderParetoFrontPlots(data) {
				try {
					let container = document.getElementById("pareto_front_idxs_plot_container");
					if (!container) {
						console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
						return;
					}
			
					container.innerHTML = "";
			
					if(data === undefined || data === null) {
						var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
						$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
						return;
					}
			
					Object.keys(data).forEach((key, idx) => {
						if (!key.startsWith("Pareto front for ")) return;
			
						let label = key.replace("Pareto front for ", "");
						let [xKey, yKey] = label.split("/");
			
						if (!xKey || !yKey) {
							console.warn("Could not extract two objectives from key:", key);
							return;
						}
			
						let entries = data[key];
						let x = [];
						let y = [];
						let hoverTexts = [];
			
						entries.forEach((entry) => {
							let results = entry.results || {};
							let values = entry.values || {};
			
							let xVal = (results[xKey] || [])[0];
							let yVal = (results[yKey] || [])[0];
			
							if (xVal === undefined || yVal === undefined) {
								console.warn("Missing values for", xKey, yKey, "in", entry);
								return;
							}
			
							x.push(xVal);
							y.push(yVal);
			
							let hoverInfo = [];
			
							if ("trial_index" in values) {
								hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
							}
			
							Object.keys(values)
								.filter(k => k !== "trial_index")
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
								});
			
							Object.keys(results)
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
								});
			
							hoverTexts.push(hoverInfo.join("<br>"));
						});
			
						let wrapper = document.createElement("div");
						wrapper.style.marginBottom = "30px";
			
						let titleEl = document.createElement("h3");
						titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
						wrapper.appendChild(titleEl);
			
						let divId = `pareto_plot_${idx}`;
						let plotDiv = document.createElement("div");
						plotDiv.id = divId;
						plotDiv.style.width = "100%";
						plotDiv.style.height = "400px";
			
						wrapper.appendChild(plotDiv);
						container.appendChild(wrapper);
			
						let trace = {
							x: x,
							y: y,
							text: hoverTexts,
							hoverinfo: "text",
							mode: "markers",
							type: "scatter",
							marker: {
								size: 8,
								color: 'rgb(31, 119, 180)',
								line: {
									width: 1,
									color: 'black'
								}
							},
							name: label
						};
			
						let layout = {
							xaxis: { title: { text: xKey } },
							yaxis: { title: { text: yKey } },
							margin: { t: 10, l: 60, r: 20, b: 50 },
							hovermode: "closest",
							showlegend: false
						};
			
						Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
					});
				} catch (e) {
					console.error("Error while rendering Pareto front plots:", e);
				}
			}
			
			function createParetoTablesFromData(data) {
				try {
					var container = document.createElement("div");
			
					var parsedData;
					try {
						parsedData = typeof data === "string" ? JSON.parse(data) : data;
					} catch (e) {
						console.error("JSON parsing failed:", e);
						return container;
					}
			
					for (var sectionTitle in parsedData) {
						if (!parsedData.hasOwnProperty(sectionTitle)) {
							continue;
						}
			
						var sectionData = parsedData[sectionTitle];
						var heading = document.createElement("h2");
						heading.textContent = sectionTitle;
						container.appendChild(heading);
			
						var table = document.createElement("table");
						table.style.borderCollapse = "collapse";
						table.style.marginBottom = "2em";
						table.style.width = "100%";
			
						var thead = document.createElement("thead");
						var headerRow = document.createElement("tr");
			
						var allValueKeys = new Set();
						var allResultKeys = new Set();
			
						sectionData.forEach(entry => {
							var values = entry.values || {};
							var results = entry.results || {};
			
							Object.keys(values).forEach(key => {
								allValueKeys.add(key);
							});
			
							Object.keys(results).forEach(key => {
								allResultKeys.add(key);
							});
						});
			
						var sortedValueKeys = Array.from(allValueKeys).sort();
						var sortedResultKeys = Array.from(allResultKeys).sort();
			
						if (sortedValueKeys.includes("trial_index")) {
							sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
							sortedValueKeys.unshift("trial_index");
						}
			
						var allColumns = [...sortedValueKeys, ...sortedResultKeys];
			
						allColumns.forEach(col => {
							var th = document.createElement("th");
							th.textContent = col;
							th.style.border = "1px solid black";
							th.style.padding = "4px";
							headerRow.appendChild(th);
						});
			
						thead.appendChild(headerRow);
						table.appendChild(thead);
			
						var tbody = document.createElement("tbody");
			
						sectionData.forEach(entry => {
							var tr = document.createElement("tr");
			
							allColumns.forEach(col => {
								var td = document.createElement("td");
								td.style.border = "1px solid black";
								td.style.padding = "4px";
			
								var value = null;
			
								if (col in entry.values) {
									value = entry.values[col];
								} else if (col in entry.results) {
									value = entry.results[col];
								}
			
								if (Array.isArray(value)) {
									td.textContent = value.join(", ");
								} else {
									td.textContent = value !== null && value !== undefined ? value : "";
								}
			
								tr.appendChild(td);
							});
			
							tbody.appendChild(tr);
						});
			
						table.appendChild(tbody);
						container.appendChild(table);
					}
			
					return container;
				} catch (err) {
					console.error("Unexpected error:", err);
					var errorDiv = document.createElement("div");
					errorDiv.textContent = "Error generating tables.";
					return errorDiv;
				}
			}
			
			function get_pareto_table_data_from_idx () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				var x_keys = Object.keys(pareto_idxs);
			
				var tables = {};
			
				for (var i = 0; i < x_keys.length; i++) {
					var x_key = x_keys[i];
					var y_keys = Object.keys(pareto_idxs[x_key]);
			
					for (var j = 0; j < y_keys.length; j++) {
						var y_key = y_keys[j];
			
						var indices = pareto_idxs[x_key][y_key];
			
						for (var k = 0; k < indices.length; k++) {
							var idx = indices[k];
							var row = get_row_by_index(idx);
			
							if(row === null) {
								error(`Error getting the row for index ${idx}`);
								return;
							}
			
							var row_dict = {
								"results": {},
								"values": {},
							};
			
							for (var l = 0; l < tab_results_headers_json.length; l++) {
								var header = tab_results_headers_json[l];
			
								if (!special_col_names.includes(header) || header == "trial_index") {
									var val = row[l];
			
									if (result_names.includes(header)) {
										if (!Object.keys(row_dict["results"]).includes(header)) {
											row_dict["results"][header] = [];
										}
			
										row_dict["results"][header].push(val);
									} else {
										if (!Object.keys(row_dict["values"]).includes(header)) {
											row_dict["values"][header] = [];
										}
										row_dict["values"][header].push(val);
									}
								}
								
							}
			
							var table_key = `Pareto front for ${x_key}/${y_key}`;
			
							if(!Object.keys(tables).includes(table_key)) {
								tables[table_key] = [];
							}
			
							tables[table_key].push(row_dict);
						}
			
					}
				}
			
				return tables;
			}
			
			function getMinMaxByResultName(resultName) {
				try {
					if (typeof resultName !== "string") {
						error("Parameter resultName must be a string");
						return;
					}
			
					if (!Array.isArray(result_names)) {
						error("Global variable result_names is not an array or undefined");
						return;
					}
					if (!Array.isArray(result_min_max)) {
						error("Global variable result_min_max is not an array or undefined");
						return;
					}
			
					if (result_names.length !== result_min_max.length) {
						error("Global arrays result_names and result_min_max must have the same length");
						return;
					}
			
					var index = result_names.indexOf(resultName);
					if (index === -1) {
						error("Result name '" + resultName + "' not found in result_names");
						return;
					}
			
					var minMaxValue = result_min_max[index];
			
					if (minMaxValue !== "min" && minMaxValue !== "max") {
						error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
						return;
					}
			
					return minMaxValue;
			
				} catch (e) {
					error("Unexpected error: " + e.message);
				}
			}
			

			$(document).ready(function() {
				colorize_table_entries();;
				plotWorkerUsage();;
				plotCPUAndRAMUsage();;
				createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names);;
				plotScatter2d();;
				plotScatter3d();
				plotJobStatusDistribution();;
				plotBoxplot();;
				plotViolin();;
				plotHistogram();;
				plotHeatmap();;
				plotResultPairs();;
				plotResultEvolution();;
				plotExitCodesPieChart();

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;Overview</h1>
			<h2>Experiment overview:               </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value </th></tr></thead><tbody><tr><td> Max. nr. evaluations</td><td>50442 </td></tr><tr><td> Max. nr. evaluations (from arguments)</td><td>50000 </td></tr><tr><td> Number random steps</td><td>20    </td></tr><tr><td> Nr. of workers (parameter)</td><td>20    </td></tr><tr><td> Main process memory (GB)</td><td>8     </td></tr><tr><td> Worker memory (GB)</td><td>1     </td></tr><tr><td> Nr. imported jobs</td><td>442   </td></tr></tbody></table><h2>Experiment parameters:                                                </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Values</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> feature_id</td><td>int</td><td>0</td><td>9</td><td></td><td>int</td><td>No         </td></tr><tr><td> batch_size</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> divergence</td><td>choice</td><td></td><td></td><td>str\(\&#039;H\&#039;\), str\(\&#039;KL\&#039;\)</td><td></td><td></td></tr><tr><td> detect_batch</td><td>choice</td><td></td><td></td><td>1, 2, 3</td><td></td><td></td></tr><tr><td> statistic</td><td>choice</td><td></td><td></td><td>str\(\&#039;stdev\&#039;\), str\(\&#039;tstat\&#039;\)</td><td></td><td></td></tr><tr><td> significance</td><td>float</td><td>0.001</td><td>0.999</td><td></td><td>float</td><td>No         </td></tr><tr><td> subsets</td><td>int</td><td>1</td><td>100</td><td></td><td>int</td><td>No         </td></tr></tbody></table><h2>Number of evaluations</h2>
			<table>
			<tbody>
			<tr>
			<th>Failed</th>
			<th>Succeeded</th>
			<th>Running</th>
			<th>Total</th>
			</tr>
			<tr>
			<td>110</td>
			<td>639</td>
			<td>22</td>
			<td>771</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types</h2>
			<table>
			<tr><th>name</th><th>min/max</th></tr>
			<tr>
			<td>ACCURACY</td>
			<td>max</td>
			</tr>
			<tr>
			<td>RUNTIME</td>
			<td>min</td>
			</tr>
			</table>
			<br>
			<h2>Git-Version</h2>
			<tt>Commit: 2223ae6553abdd3e288f4b391080b763a7a48477
			</tt>
			<h1>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,feature_id,batch_size,divergence,detect_batch,statistic,significance,subsets
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.419999999999999984456877655248,1315.000000000000000000000000000000,395,2,4839,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.874514531731605537778762027301,14
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.520000000000000017763568394003,1404.000000000000000000000000000000,4995,9,1625,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.231002405831590290619104166581,60
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1011.000000000000000000000000000000,3617,0,3394,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.694954441417008683679057412519,85
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1216.000000000000000000000000000000,1615,6,179,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.410044262750074273160549864770,43
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1097.000000000000000000000000000000,2407,1,2334,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.605837507363408800387105657137,92
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,580.000000000000000000000000000000,2826,5,4140,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.257458064367994676757689376245,33
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,241.000000000000000000000000000000,4183,3,889,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.785399490058422133920146279706,12
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1344.000000000000000000000000000000,1205,8,2694,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.078414303915575148118399795294,65
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1095.000000000000000000000000000000,877,0,1019,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.553662055799737595762621822360,97
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1009.000000000000000000000000000000,3895,7,2824,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.340851465038955192543568273322,31
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.410000000000000031086244689504,202.000000000000000000000000000000,2539,3,2151,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.873528899891302001989856762521,1
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.520000000000000017763568394003,1096.000000000000000000000000000000,2080,9,3957,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.021441959846764804126229009285,73
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,860.000000000000000000000000000000,1326,4,3533,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.963740358522161888465973333950,24
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1306.000000000000000000000000000000,3290,8,319,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.172933618780225506483816388936,53
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1177.000000000000000000000000000000,4668,1,4666,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.643875417964532958947643237479,79
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1142.000000000000000000000000000000,107,6,1451,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.492341220438480386967228241701,45
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1141.000000000000000000000000000000,298,1,3106,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.214484026305377495358328587827,76
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,704.000000000000000000000000000000,4468,5,1164,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.921702638873830415455756792653,48
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,809.000000000000000000000000000000,3168,4,3848,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.394035082269459935311317622109,22
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1082.000000000000000000000000000000,1439,7,1906,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.742668883128091650291935366113,56
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,244.000000000000000000000000000000,1880,3,621,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.304920289691537615972549701837,4
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1412.000000000000000000000000000000,2730,8,3659,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.590080543270334656469344736252,70
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1094.000000000000000000000000000000,4008,0,1363,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.125367330193519588288353361349,99
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,960.000000000000000000000000000000,756,7,4402,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.769116202550008898342071006482,28
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.460000000000000019984014443253,875.000000000000000000000000000000,1093,4,1810,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.356007866034284248257790750358,10
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1362.000000000000000000000000000000,4305,8,4848,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.507775002948939846447728996282,68
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.460000000000000019984014443253,1101.000000000000000000000000000000,3027,2,130,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.036132943077012896759825366644,89
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,559.000000000000000000000000000000,2217,5,3169,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.827193568516522592659612200805,35
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1310.000000000000000000000000000000,1737,1,4305,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.126346067300066339234021484117,87
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1364.000000000000000000000000000000,3505,6,2363,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.978683561857789707794097466831,40
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,338.000000000000000000000000000000,4416,3,4444,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,6
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,288.000000000000000000000000000000,477,3,3067,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,68
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,321.000000000000000000000000000000,5000,3,1608,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,530.000000000000000000000000000000,1,5,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
34,34_0,FAILED,BoTorch,GenerationStep_1,,,3636,5,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,270.000000000000000000000000000000,1,3,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,882.000000000000000000000000000000,3177,5,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
37,37_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,377.000000000000000000000000000000,1,3,4045,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,67
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,350.000000000000000000000000000000,5000,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,882.000000000000000000000000000000,1,5,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.410000000000000031086244689504,1434.000000000000000000000000000000,1,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,397.000000000000000000000000000000,5000,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,72
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,607.000000000000000000000000000000,518,3,4244,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.346220537188583366017269327131,100
44,44_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,212.000000000000000000000000000000,5000,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1149.000000000000000000000000000000,5000,3,1006,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,81
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,381.000000000000000000000000000000,1,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.010352230628144163879222894309,1
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,356.000000000000000000000000000000,1,3,2806,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.410000000000000031086244689504,2775.000000000000000000000000000000,4102,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,69
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,732.000000000000000000000000000000,4499,5,4009,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,88
51,51_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,944.000000000000000000000000000000,1,7,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.410000000000000031086244689504,5615.000000000000000000000000000000,1,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,90
54,54_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.410000000000000031086244689504,1314.000000000000000000000000000000,1,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,266.000000000000000000000000000000,5000,3,3179,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,345.000000000000000000000000000000,473,3,4481,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,871.000000000000000000000000000000,5000,5,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1222.000000000000000000000000000000,1,7,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,1564.000000000000000000000000000000,3426,2,3199,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,2
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1042.000000000000000000000000000000,3958,6,622,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1377.000000000000000000000000000000,4019,6,2342,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.774285570089070063204417238012,1
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1008.000000000000000000000000000000,3798,0,2308,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,4
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1029.000000000000000000000000000000,2682,0,2656,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,826.000000000000000000000000000000,4764,4,4953,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.641415110591327053413124303916,51
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1519.000000000000000000000000000000,1687,6,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.803135668987403406049452314619,100
67,67_0,FAILED,BoTorch,GenerationStep_1,,,4020,6,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,994.000000000000000000000000000000,4566,0,2050,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1014.000000000000000000000000000000,4069,0,4149,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1003.000000000000000000000000000000,2537,0,380,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.751080298373049681792679166392,1
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,668.000000000000000000000000000000,3774,5,3297,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.629537436542461192878761266911,1
72,72_0,FAILED,BoTorch,GenerationStep_1,,,4816,0,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,8
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,3337.000000000000000000000000000000,1182,6,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.990371975015911565343174061127,22
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1170.000000000000000000000000000000,4478,1,3426,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.019799467963738690695629784955,48
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1199.000000000000000000000000000000,3027,8,171,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.610209167353318870929967943084,1
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1993.000000000000000000000000000000,1016,6,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1008.000000000000000000000000000000,4303,0,3693,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,993.000000000000000000000000000000,4687,0,2792,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1004.000000000000000000000000000000,2755,0,189,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.181578037807426040384228826952,41
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,991.000000000000000000000000000000,86,0,4185,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.429999999999999993338661852249,1212.000000000000000000000000000000,547,2,3200,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1007.000000000000000000000000000000,4763,0,1103,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,591.000000000000000000000000000000,4992,5,70,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.733898364666109137566252229590,15
84,84_0,FAILED,BoTorch,GenerationStep_1,,,4268,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.256393644089096928162518906902,1
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1031.000000000000000000000000000000,4791,9,4378,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.885808870855917418474234636960,100
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,993.000000000000000000000000000000,4035,0,4973,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,54
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1087.000000000000000000000000000000,2977,6,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1119.000000000000000000000000000000,318,6,2809,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1739.000000000000000000000000000000,3185,6,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,226.000000000000000000000000000000,361,3,3749,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.218211543625628362486068567705,11
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,221.000000000000000000000000000000,1,3,2464,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,55
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,826.000000000000000000000000000000,952,5,311,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.481340874187129452721478628519,50
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,236.000000000000000000000000000000,3325,3,363,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.057640165977068322233911601415,14
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,722.000000000000000000000000000000,5000,3,3280,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1044.000000000000000000000000000000,1155,7,3711,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.492616494909749402797416450994,100
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,320.000000000000000000000000000000,1,3,2459,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,50
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,300.000000000000000000000000000000,355,3,1337,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.565079629697687990663723667240,1
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,883.000000000000000000000000000000,428,5,4936,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.432422296396061056622528440130,1
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,610.000000000000000000000000000000,1448,5,4505,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.280396442352861319236012604961,54
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,1271.000000000000000000000000000000,5000,2,3693,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,58
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1235.000000000000000000000000000000,804,7,1467,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.319720425580967304579615984039,1
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1287.000000000000000000000000000000,1922,5,1130,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.585914221547103486464891375363,100
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1061.000000000000000000000000000000,638,7,3319,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.248169663735992945818864541252,87
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,305.000000000000000000000000000000,279,3,3380,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.566924906972800957127844867500,66
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,948.000000000000000000000000000000,2246,5,3657,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.445729187662565307093132105365,93
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,687.000000000000000000000000000000,1177,5,2996,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,54
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1058.000000000000000000000000000000,691,7,3128,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.869218972262650213522761077911,100
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,266.000000000000000000000000000000,1,3,1857,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,35
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.429999999999999993338661852249,1484.000000000000000000000000000000,5000,2,3519,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.857764575925867300831839656894,8
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1447.000000000000000000000000000000,3834,2,4788,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,12
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1652.000000000000000000000000000000,1,4,1110,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.619726602220945887999903334276,100
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1163.000000000000000000000000000000,384,7,1131,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.088836814449085588218935072291,33
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,269.000000000000000000000000000000,4952,3,1887,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1055.000000000000000000000000000000,304,5,3812,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.211864102000161508287945366646,100
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,262.000000000000000000000000000000,878,3,2842,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.718236410827674420787047893100,56
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,591.000000000000000000000000000000,536,5,4290,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.549265741446029909234027854836,42
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,644.000000000000000000000000000000,4642,5,3946,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,633.000000000000000000000000000000,3240,5,3841,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.572110938260889434481271109689,61
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,444.000000000000000000000000000000,832,3,1838,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.373547538273539980746562605418,78
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,255.000000000000000000000000000000,4540,3,1007,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,892.000000000000000000000000000000,1055,5,1416,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.628776221370410226541025622282,1
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,712.000000000000000000000000000000,2313,5,4838,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.772267886037730999504447026993,58
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,545.000000000000000000000000000000,4416,5,2699,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.220573228719561920119218711989,31
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,1148.000000000000000000000000000000,5000,6,2651,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,212.000000000000000000000000000000,5000,3,327,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
126,126_0,FAILED,BoTorch,GenerationStep_1,,,2081,7,188,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.534084745611645539398182336299,100
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1760.000000000000000000000000000000,5000,7,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.433248514737651857497979790423,100
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,632.000000000000000000000000000000,4186,5,2696,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.678747867034813268105608585756,22
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1202.000000000000000000000000000000,5000,6,3494,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,652.000000000000000000000000000000,4264,5,1003,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.501608820433628865842479171988,79
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,606.000000000000000000000000000000,819,5,1936,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,65
132,51_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1183.000000000000000000000000000000,2546,6,4574,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1103.000000000000000000000000000000,3907,7,1115,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.766961800996046383360749132407,33
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1603.000000000000000000000000000000,4789,7,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.097257775309394112195349180183,1
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,273.000000000000000000000000000000,2746,3,2121,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,544.000000000000000000000000000000,3688,5,1930,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,229.000000000000000000000000000000,879,3,4473,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
139,139_0,FAILED,BoTorch,GenerationStep_1,,,5000,7,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,582.000000000000000000000000000000,1524,5,3967,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1359.000000000000000000000000000000,5000,7,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.479797099587817299504166612678,100
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1019.000000000000000000000000000000,5000,7,1832,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,7
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,553.000000000000000000000000000000,4381,5,3084,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.538582994558056249445598950842,100
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,286.000000000000000000000000000000,3644,3,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,59
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1683.000000000000000000000000000000,5000,7,2742,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,90
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,530.000000000000000000000000000000,5000,5,734,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,245.000000000000000000000000000000,2707,3,4551,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,556.000000000000000000000000000000,4735,5,4881,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.044153279848482877845139427109,1
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,574.000000000000000000000000000000,4316,5,2429,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1052.000000000000000000000000000000,3346,6,619,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,617.000000000000000000000000000000,5000,5,148,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1695.000000000000000000000000000000,3773,6,377,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,83
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,2573.000000000000000000000000000000,685,6,328,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,96
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,579.000000000000000000000000000000,4446,5,1489,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.530000000000000026645352591004,1686.000000000000000000000000000000,54,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
156,156_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,48
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1185.000000000000000000000000000000,5000,6,658,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,63
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,254.000000000000000000000000000000,3331,3,2005,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.677771502552522164819492900278,41
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1048.000000000000000000000000000000,1838,6,960,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,83
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1164.000000000000000000000000000000,1,7,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,72
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1040.000000000000000000000000000000,859,6,72,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
162,162_0,FAILED,BoTorch,GenerationStep_1,,,5000,4,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,569.000000000000000000000000000000,606,5,2827,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.459611572970964166184870691723,29
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1219.000000000000000000000000000000,4805,6,926,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1570.000000000000000000000000000000,13,7,3374,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.390020051613614415764175191725,1
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,272.000000000000000000000000000000,1375,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.720711621962137005681370283128,40
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.530000000000000026645352591004,2009.000000000000000000000000000000,5000,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1369.000000000000000000000000000000,3558,6,602,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,844.000000000000000000000000000000,5000,4,2998,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.530000000000000026645352591004,1306.000000000000000000000000000000,3953,9,3646,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1415.000000000000000000000000000000,5000,6,672,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,59
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,545.000000000000000000000000000000,4925,5,2868,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.976964403249275359364389714756,51
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1905.000000000000000000000000000000,3340,6,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,92
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,2373.000000000000000000000000000000,4905,6,657,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,88
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1887.000000000000000000000000000000,5000,7,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1062.000000000000000000000000000000,4884,6,310,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1058.000000000000000000000000000000,1,5,2851,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
178,178_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1254.000000000000000000000000000000,204,6,612,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,97
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,693.000000000000000000000000000000,2399,5,3107,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,574.000000000000000000000000000000,176,5,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.065508074707061797470331043769,1
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,632.000000000000000000000000000000,5000,5,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.446273966175627978536510909180,73
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,610.000000000000000000000000000000,4239,5,2750,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,589.000000000000000000000000000000,1,5,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.527598793414470024210061183112,100
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,1338.000000000000000000000000000000,5000,5,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,1667.000000000000000000000000000000,354,5,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.723116025682703722488042785699,1
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,668.000000000000000000000000000000,5000,5,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,701.000000000000000000000000000000,1,5,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
189,189_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1036.000000000000000000000000000000,1,7,984,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.488096855363103432345894816535,1
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,890.000000000000000000000000000000,5000,5,1701,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,1472.000000000000000000000000000000,1,5,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,561.000000000000000000000000000000,5000,5,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.232078350668128569056491983247,100
194,194_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,275.000000000000000000000000000000,2434,3,3527,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,726.000000000000000000000000000000,1,5,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,694.000000000000000000000000000000,5000,5,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
198,198_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.528212770919935348246099238168,100
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,977.000000000000000000000000000000,5000,7,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,590.000000000000000000000000000000,4853,5,1636,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1122.000000000000000000000000000000,5000,7,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.006666841599777362931122937084,100
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,974.000000000000000000000000000000,1,7,820,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,750.000000000000000000000000000000,1,5,2379,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,555.000000000000000000000000000000,2954,5,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.604432251601268677454470434895,27
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,573.000000000000000000000000000000,798,5,991,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.743168520883495498097204290389,1
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1100.000000000000000000000000000000,5000,5,1755,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,1285.000000000000000000000000000000,5000,5,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1007.000000000000000000000000000000,5000,7,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.662903085725386254090096826985,49
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,617.000000000000000000000000000000,2942,5,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,566.000000000000000000000000000000,4768,5,3895,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.005832192672787800229172727740,100
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,651.000000000000000000000000000000,5000,5,361,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,48
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,546.000000000000000000000000000000,3247,5,1490,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,551.000000000000000000000000000000,1,5,1969,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,535.000000000000000000000000000000,5000,5,1302,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,568.000000000000000000000000000000,1,5,3575,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.976414636323025497688377072336,100
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,757.000000000000000000000000000000,4323,5,302,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.379977220894912148807520679838,46
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1002.000000000000000000000000000000,4557,7,1194,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.466317599519811443187222721463,11
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,753.000000000000000000000000000000,1438,5,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,524.000000000000000000000000000000,1,5,3746,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,589.000000000000000000000000000000,1,5,3922,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1091.000000000000000000000000000000,5000,7,1791,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.600709287565752703130783629604,1
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,561.000000000000000000000000000000,197,5,726,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1027.000000000000000000000000000000,1,7,1635,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,85
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1099.000000000000000000000000000000,1,7,2464,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.462067384943406433972512559194,1
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,524.000000000000000000000000000000,5000,5,4107,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,697.000000000000000000000000000000,665,5,1681,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,991.000000000000000000000000000000,5000,5,3507,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.404827396620050294906434373843,1
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1091.000000000000000000000000000000,5000,5,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1114.000000000000000000000000000000,5000,7,1440,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44
230,230_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,66
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1049.000000000000000000000000000000,1,7,2002,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,615.000000000000000000000000000000,5000,5,1275,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.489777471973718347975079723255,34
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,515.000000000000000000000000000000,1,5,2967,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1945.000000000000000000000000000000,1,9,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,2249.000000000000000000000000000000,1,7,1697,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1589.000000000000000000000000000000,5000,7,1576,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.384765114367649874171917190324,1
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,596.000000000000000000000000000000,5000,5,4130,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,942.000000000000000000000000000000,5000,7,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,949.000000000000000000000000000000,1,7,1665,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,226.000000000000000000000000000000,5000,3,1204,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,253.000000000000000000000000000000,162,3,4906,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,498.000000000000000000000000000000,5000,3,3008,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,80
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,270.000000000000000000000000000000,3826,3,591,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.643462442055987793310123379342,39
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,253.000000000000000000000000000000,5000,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,25
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1079.000000000000000000000000000000,4441,7,3103,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.622653563216207905917087828129,39
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,241.000000000000000000000000000000,5000,3,1489,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,576.000000000000000000000000000000,4581,5,3117,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,80
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,1178.000000000000000000000000000000,5000,4,99,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,527.000000000000000000000000000000,5000,5,1737,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,805.000000000000000000000000000000,3953,4,4964,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,214.000000000000000000000000000000,4122,3,387,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,232.000000000000000000000000000000,1,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,29
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,257.000000000000000000000000000000,4326,3,4861,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,793.000000000000000000000000000000,4857,4,4223,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,64
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,947.000000000000000000000000000000,4099,7,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,907.000000000000000000000000000000,1263,4,4189,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,36
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,234.000000000000000000000000000000,1,3,3740,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,361.000000000000000000000000000000,5000,3,3456,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,97
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,324.000000000000000000000000000000,4278,3,3423,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,67
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.429999999999999993338661852249,1044.000000000000000000000000000000,5000,2,191,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1122.000000000000000000000000000000,1181,7,2855,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.504978725115028503900305167917,43
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,886.000000000000000000000000000000,1711,4,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,2
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,200.000000000000000000000000000000,4996,3,1290,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.530000000000000026645352591004,613.000000000000000000000000000000,3729,5,4998,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.435702430020670994359477390390,27
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1194.000000000000000000000000000000,1,7,4015,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,237.000000000000000000000000000000,5000,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,75
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,894.000000000000000000000000000000,4348,4,4637,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1234.000000000000000000000000000000,4465,4,302,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,332.000000000000000000000000000000,5000,3,505,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,594.000000000000000000000000000000,708,5,2877,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,616.000000000000000000000000000000,4028,5,1348,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1057.000000000000000000000000000000,5000,7,2571,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,37
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,944.000000000000000000000000000000,5000,7,3702,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,545.000000000000000000000000000000,15,5,4818,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,47
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,655.000000000000000000000000000000,1444,5,1829,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,593.000000000000000000000000000000,5000,5,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,43
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,521.000000000000000000000000000000,5000,5,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1015.000000000000000000000000000000,5000,7,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1080.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,1385.000000000000000000000000000000,2572,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,470.000000000000000000000000000000,1,5,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73
282,282_0,FAILED,BoTorch,GenerationStep_1,,,4745,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,558.000000000000000000000000000000,5000,5,1945,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,68
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,727.000000000000000000000000000000,1,5,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,523.000000000000000000000000000000,5000,5,1728,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,38
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1120.000000000000000000000000000000,586,9,1220,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
287,287_0,RUNNING,BoTorch,GenerationStep_1,,,5000,9,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.969570093453290593465965230280,100
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,936.000000000000000000000000000000,5000,7,2601,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44
289,289_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1048.000000000000000000000000000000,1,9,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,564.000000000000000000000000000000,1818,5,4375,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1082.000000000000000000000000000000,5000,9,2935,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,549.000000000000000000000000000000,5000,5,2042,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,56
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,992.000000000000000000000000000000,4300,7,4931,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.688842366226242952542691000417,44
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,621.000000000000000000000000000000,5000,5,1952,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,44
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.530000000000000026645352591004,526.000000000000000000000000000000,1,5,1130,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,227.000000000000000000000000000000,4076,3,1239,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.409552839162551030049996825255,23
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,559.000000000000000000000000000000,1,5,2680,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1087.000000000000000000000000000000,5000,7,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,65
300,300_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,531.000000000000000000000000000000,2520,5,2275,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,557.000000000000000000000000000000,2266,5,2950,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,38
303,303_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.690014231792439591828269840335,28
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1030.000000000000000000000000000000,153,7,3187,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.473210428718893960642333240685,40
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,513.000000000000000000000000000000,2059,5,3146,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,538.000000000000000000000000000000,1933,5,2982,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,79
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,668.000000000000000000000000000000,1974,5,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,699.000000000000000000000000000000,5000,5,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,673.000000000000000000000000000000,3109,5,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
310,310_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1102.000000000000000000000000000000,3378,7,3549,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.344259500977477039818097637180,48
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,582.000000000000000000000000000000,5000,5,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,731.000000000000000000000000000000,865,5,151,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.674517158963461094245417370985,32
314,314_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1752.000000000000000000000000000000,5000,9,2047,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.504514553537556142970288419747,100
316,316_0,FAILED,BoTorch,GenerationStep_1,,,4939,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,97
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1072.000000000000000000000000000000,1304,7,3475,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,959.000000000000000000000000000000,1,7,3281,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,38
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,590.000000000000000000000000000000,1,5,3578,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.719306798912180744842714830156,36
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,618.000000000000000000000000000000,2432,5,4334,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
321,321_0,FAILED,BoTorch,GenerationStep_1,,,1,0,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,803.000000000000000000000000000000,2485,5,157,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.027307703127033948475865798855,34
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1810.000000000000000000000000000000,5000,7,984,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
324,324_0,FAILED,BoTorch,GenerationStep_1,,,5000,7,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,90
325,325_0,FAILED,BoTorch,GenerationStep_1,,,1410,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.067538854255657934655410201685,17
326,326_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.894908524350027878568880623789,100
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,525.000000000000000000000000000000,2268,5,3514,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,78
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,993.000000000000000000000000000000,1,5,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1010.000000000000000000000000000000,1,7,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,589.000000000000000000000000000000,5000,5,2578,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,46
331,331_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,6
332,332_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15
333,333_0,RUNNING,BoTorch,GenerationStep_1,,,5000,0,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
334,334_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,55
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,670.000000000000000000000000000000,1,5,2558,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,75
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,576.000000000000000000000000000000,1,5,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,530.000000000000000000000000000000,3034,5,2240,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,38
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,585.000000000000000000000000000000,5000,5,3226,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.628401697148672333526064903708,29
339,339_0,RUNNING,BoTorch,GenerationStep_1,,,1,0,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,581.000000000000000000000000000000,1,5,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.519059263780348500993966354145,50
341,341_0,RUNNING,BoTorch,GenerationStep_1,,,4161,0,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,536.000000000000000000000000000000,5000,5,3676,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,586.000000000000000000000000000000,5000,5,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,41
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,631.000000000000000000000000000000,4505,5,3556,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.613775148491509825454670590261,48
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,993.000000000000000000000000000000,3110,0,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,576.000000000000000000000000000000,1,5,2986,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,88
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,529.000000000000000000000000000000,5000,5,1007,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,983.000000000000000000000000000000,3913,0,1496,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,576.000000000000000000000000000000,1,5,2880,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,467.000000000000000000000000000000,1,5,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,56
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1012.000000000000000000000000000000,1792,7,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.167745432343401057462273229248,48
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,545.000000000000000000000000000000,5000,5,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1004.000000000000000000000000000000,4864,0,3858,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47
354,354_0,FAILED,BoTorch,GenerationStep_1,,,4401,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,566.000000000000000000000000000000,2102,5,3960,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
356,356_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51
357,357_0,RUNNING,BoTorch,GenerationStep_1,,,3772,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,65
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,660.000000000000000000000000000000,1,5,1940,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1075.000000000000000000000000000000,1479,6,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38
360,360_0,FAILED,BoTorch,GenerationStep_1,,,244,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.823478355370626191600536003534,15
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,590.000000000000000000000000000000,1,5,3549,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.412962645590978560949935172175,52
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1290.000000000000000000000000000000,4903,7,3814,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.523645355924825528504129579233,1
363,310_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
364,364_0,FAILED,BoTorch,GenerationStep_1,,,314,8,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,12
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,580.000000000000000000000000000000,1,5,1839,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
366,366_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,522.000000000000000000000000000000,2407,5,2424,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
368,368_0,RUNNING,BoTorch,GenerationStep_1,,,1,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,77
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1111.000000000000000000000000000000,1,9,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.486512108040513147066974397603,100
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.410000000000000031086244689504,371.000000000000000000000000000000,4477,3,5,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.558737964823510124823258138349,1
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1019.000000000000000000000000000000,3182,7,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.444983921510988533754016316379,1
372,372_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,551.000000000000000000000000000000,1,5,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,579.000000000000000000000000000000,1706,5,2709,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1131.000000000000000000000000000000,1,1,727,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,80
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1017.000000000000000000000000000000,5000,0,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,68
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,543.000000000000000000000000000000,1300,5,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.062700445365379053885845905825,62
378,378_0,RUNNING,BoTorch,GenerationStep_1,,,1748,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,69
379,379_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,604.000000000000000000000000000000,3017,5,1941,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,24
381,381_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,532.000000000000000000000000000000,5000,5,303,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,571.000000000000000000000000000000,5000,5,930,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
384,384_0,RUNNING,BoTorch,GenerationStep_1,,,2383,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,793.000000000000000000000000000000,1421,5,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.801419261777918667810638453375,90
386,386_0,FAILED,BoTorch,GenerationStep_1,,,3858,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18
387,387_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,27
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1576.000000000000000000000000000000,1,7,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1257.000000000000000000000000000000,5000,1,330,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,206.000000000000000000000000000000,2709,3,1186,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,577.000000000000000000000000000000,3970,5,2325,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.516336893574307453924632227427,26
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,256.000000000000000000000000000000,2709,3,1159,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,647.000000000000000000000000000000,4171,5,3102,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41
394,394_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1706.000000000000000000000000000000,1,7,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,52
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1037.000000000000000000000000000000,4831,1,1042,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,6
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,612.000000000000000000000000000000,5000,5,1337,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1349.000000000000000000000000000000,801,8,1210,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,10
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1031.000000000000000000000000000000,5000,1,444,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,63
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,219.000000000000000000000000000000,2047,3,1195,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,610.000000000000000000000000000000,5000,5,1870,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1080.000000000000000000000000000000,1240,7,4224,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1010.000000000000000000000000000000,1458,1,928,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,256.000000000000000000000000000000,3062,3,1157,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20
405,405_0,RUNNING,BoTorch,GenerationStep_1,,,5000,5,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,73
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1738.000000000000000000000000000000,1,7,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49
407,407_0,RUNNING,BoTorch,GenerationStep_1,,,3294,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,59
408,408_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.369985621138684050990264040593,1
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1064.000000000000000000000000000000,4932,7,4347,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.432997768875676425359699805995,47
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1049.000000000000000000000000000000,1,7,457,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,59
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,235.000000000000000000000000000000,2164,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,27
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,574.000000000000000000000000000000,3149,5,2102,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.839957052578545360077555415046,1
413,413_0,FAILED,BoTorch,GenerationStep_1,,,5000,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1060.000000000000000000000000000000,3855,7,436,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.138438072309270382431733992235,39
415,415_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,55
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1034.000000000000000000000000000000,1371,1,686,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1203.000000000000000000000000000000,1,1,2085,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,948.000000000000000000000000000000,1,7,2421,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,51
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,977.000000000000000000000000000000,5000,7,4280,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,262.000000000000000000000000000000,3316,3,4863,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,246.000000000000000000000000000000,2659,3,3412,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,261.000000000000000000000000000000,2796,3,4583,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,28
423,300_0,FAILED,BoTorch,GenerationStep_1,,,1,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,260.000000000000000000000000000000,3614,3,3986,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,347.000000000000000000000000000000,3405,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,589.000000000000000000000000000000,203,5,2488,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.613084677968887770127537351073,36
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1040.000000000000000000000000000000,1883,7,1826,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,27
428,428_0,FAILED,BoTorch,GenerationStep_1,,,157,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.015551413135399018428106643341,21
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,270.000000000000000000000000000000,5000,3,4526,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,598.000000000000000000000000000000,5000,5,2767,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,41
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,349.000000000000000000000000000000,3556,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
432,432_0,FAILED,BoTorch,GenerationStep_1,,,5000,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.475136328948554398365899942291,7
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,582.000000000000000000000000000000,5000,5,2162,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.679386941599712135264610424201,1
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,562.000000000000000000000000000000,155,5,3345,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.644789350646544523470993226510,77
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,621.000000000000000000000000000000,375,5,3484,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
436,436_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,639.000000000000000000000000000000,4611,3,4996,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,599.000000000000000000000000000000,5000,5,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,45
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1020.000000000000000000000000000000,5000,7,2559,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1182.000000000000000000000000000000,687,7,230,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.313277815802921855148355234633,30
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.530000000000000026645352591004,590.000000000000000000000000000000,1,5,1834,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.617371021098894967593651017523,36
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,233.000000000000000000000000000000,4026,3,2881,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1929.000000000000000000000000000000,5000,9,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,520.000000000000000000000000000000,5000,5,3187,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,50
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1572.000000000000000000000000000000,1,7,521,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.091479966521924582778524381865,1
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,636.000000000000000000000000000000,5000,5,1730,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,12
447,447_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,698.000000000000000000000000000000,5000,5,2144,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,587.000000000000000000000000000000,2953,5,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,200.000000000000000000000000000000,3817,3,3333,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,250.000000000000000000000000000000,3338,3,3397,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,222.000000000000000000000000000000,4167,3,787,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,7
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,835.000000000000000000000000000000,5000,4,286,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,6
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1045.000000000000000000000000000000,1,7,4384,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,65
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,214.000000000000000000000000000000,1621,3,3265,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18
456,456_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
457,457_0,FAILED,BoTorch,GenerationStep_1,,,5000,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,42
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.419999999999999984456877655248,207.000000000000000000000000000000,1267,3,3302,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,986.000000000000000000000000000000,1,0,1755,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,65
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,954.000000000000000000000000000000,5000,7,1918,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,902.000000000000000000000000000000,2665,4,636,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1044.000000000000000000000000000000,410,7,2359,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.454004936720642127134794918675,39
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,236.000000000000000000000000000000,4587,3,3413,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,56
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,590.000000000000000000000000000000,5000,5,1538,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,207.000000000000000000000000000000,1026,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,680.000000000000000000000000000000,1,5,1488,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,50
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,552.000000000000000000000000000000,1,5,4067,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,562.000000000000000000000000000000,616,5,2148,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,548.000000000000000000000000000000,5000,5,4416,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1309.000000000000000000000000000000,1,5,668,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,95
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,569.000000000000000000000000000000,1077,5,2094,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.578331551046062042331641350756,1
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,995.000000000000000000000000000000,1,0,2596,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1029.000000000000000000000000000000,1,0,2579,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,2070.000000000000000000000000000000,3888,4,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,576.000000000000000000000000000000,1,5,2553,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.520000000000000017763568394003,1078.000000000000000000000000000000,1,9,1281,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,637.000000000000000000000000000000,54,5,4009,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,43
478,478_0,FAILED,BoTorch,GenerationStep_1,,,1,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,631.000000000000000000000000000000,5000,5,549,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,257.000000000000000000000000000000,2763,3,2902,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26
481,481_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,545.000000000000000000000000000000,5000,5,1694,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,32
482,482_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,984.000000000000000000000000000000,5000,6,2899,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,975.000000000000000000000000000000,5000,4,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,6
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,276.000000000000000000000000000000,3810,3,1858,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,617.000000000000000000000000000000,1,5,3858,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,61
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,1027.000000000000000000000000000000,1,4,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
487,487_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,471.000000000000000000000000000000,2722,5,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,60
488,488_0,FAILED,BoTorch,GenerationStep_1,,,1363,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,41
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,982.000000000000000000000000000000,1,7,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.681934425103777330789966981683,100
490,490_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,956.000000000000000000000000000000,5000,7,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1063.000000000000000000000000000000,5000,6,3659,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44
492,492_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,88
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,552.000000000000000000000000000000,5000,5,1273,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,559.000000000000000000000000000000,3922,5,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,45
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.540000000000000035527136788005,516.000000000000000000000000000000,5000,5,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,35
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,915.000000000000000000000000000000,3841,4,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,51
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,565.000000000000000000000000000000,3770,5,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,58
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1140.000000000000000000000000000000,5000,7,4360,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39
499,499_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1182.000000000000000000000000000000,5000,7,2079,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,37
500,500_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,614.000000000000000000000000000000,1,5,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,259.000000000000000000000000000000,5000,3,3003,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1019.000000000000000000000000000000,1,7,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,2
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,995.000000000000000000000000000000,995,7,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.270821500510461832256225989113,39
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,581.000000000000000000000000000000,1,5,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,955.000000000000000000000000000000,1677,7,1707,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18
506,506_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1159.000000000000000000000000000000,5000,4,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
507,507_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1000.000000000000000000000000000000,5000,7,1473,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,668.000000000000000000000000000000,1,5,2805,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
509,509_0,FAILED,BoTorch,GenerationStep_1,,,1,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.979146617671664221127514338150,100
510,510_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1244.000000000000000000000000000000,2246,0,3661,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.693341406464576759383078297105,89
511,511_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1566.000000000000000000000000000000,3877,7,1075,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.218110735265538091542936172118,48
512,512_0,COMPLETED,Sobol,SOBOL,0.489999999999999991118215802999,1216.000000000000000000000000000000,2862,4,3955,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.957678623484447544278452824074,6
513,513_0,COMPLETED,Sobol,SOBOL,0.510000000000000008881784197001,1671.000000000000000000000000000000,743,8,1370,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.450533520745113491567934715931,58
514,514_0,COMPLETED,Sobol,SOBOL,0.479999999999999982236431605997,318.000000000000000000000000000000,348,3,118,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.786579421779140863790757975949,21
515,515_0,COMPLETED,Sobol,SOBOL,0.520000000000000017763568394003,1722.000000000000000000000000000000,3228,9,2688,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.311592621346935605419758985590,69
516,516_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1542.000000000000000000000000000000,4722,1,2284,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.552573137724772123213767827110,86
517,517_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,769.000000000000000000000000000000,1353,5,4854,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.045184144699946048040484214425,26
518,518_0,COMPLETED,Sobol,SOBOL,0.450000000000000011102230246252,1265.000000000000000000000000000000,1678,4,2072,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.846125306550413402995047817967,17
519,519_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1598.000000000000000000000000000000,4403,7,4501,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.370864397231489395512227247309,70
520,520_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1352.000000000000000000000000000000,3547,1,529,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.610003203630447354832710971095,77
521,521_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1376.000000000000000000000000000000,21,6,2958,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.102827406406402588334714209850,38
522,522_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1643.000000000000000000000000000000,1072,1,4152,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.627978343363851276848208726733,100
523,523_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,684.000000000000000000000000000000,2546,5,1738,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.152960848446935415712033545788,40
524,524_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,293.000000000000000000000000000000,4193,3,3234,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.890532914794981533823658992333,7
525,525_0,COMPLETED,Sobol,SOBOL,0.520000000000000017763568394003,1288.000000000000000000000000000000,1918,9,819,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.383113703168928620979016841375,55
526,526_0,COMPLETED,Sobol,SOBOL,0.510000000000000008881784197001,275.000000000000000000000000000000,2155,3,4680,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.228780879488214849981631004994,10
527,527_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1518.000000000000000000000000000000,4274,8,1952,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.734955179920420031969285901141,51
528,528_0,COMPLETED,Sobol,SOBOL,0.419999999999999984456877655248,1314.000000000000000000000000000000,2777,2,3097,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.494449130529537816958196572159,97
529,529_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,686.000000000000000000000000000000,1147,5,370,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.970650623554363822798052297003,43
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,311.000000000000000000000000000000,3601,3,1790,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.500015598831244689748132259410,53
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,826.000000000000000000000000000000,2586,5,4658,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.706371262369358654531481533922,22
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,593.000000000000000000000000000000,4239,5,1438,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,236.000000000000000000000000000000,1021,3,615,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,611.000000000000000000000000000000,4332,5,3517,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,52
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,2039.000000000000000000000000000000,994,7,349,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71
536,536_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1394,7,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,66
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,340.000000000000000000000000000000,1227,3,1481,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,1187.000000000000000000000000000000,4146,9,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,54
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,837.000000000000000000000000000000,2695,5,1295,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,649.000000000000000000000000000000,4649,5,2343,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.561355588091301260789123261929,86
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1392.000000000000000000000000000000,3594,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,45
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1424.000000000000000000000000000000,2271,8,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,317.000000000000000000000000000000,772,3,4304,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.097509334929359398058679175847,29
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,584.000000000000000000000000000000,4306,5,4386,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,83
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,1131.000000000000000000000000000000,199,7,2148,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,602.000000000000000000000000000000,4816,5,4869,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,12
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1413.000000000000000000000000000000,3832,7,2106,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,720.000000000000000000000000000000,857,5,903,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1200.000000000000000000000000000000,2771,7,1459,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,334.000000000000000000000000000000,4967,3,2354,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.515220678369063600499089261575,14
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1401.000000000000000000000000000000,993,7,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,26
552,552_0,FAILED,BoTorch,BOTORCH_MODULAR,,,57,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,22
553,553_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4388,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,69
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,1167.000000000000000000000000000000,468,9,2785,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,9
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3066,7,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,752.000000000000000000000000000000,1,5,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,79
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,644.000000000000000000000000000000,3584,5,3525,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,252.000000000000000000000000000000,4797,3,933,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1114.000000000000000000000000000000,1301,7,2405,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,286.000000000000000000000000000000,2188,3,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.650365796892775516191420592804,13
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1242.000000000000000000000000000000,891,7,4952,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.295218440079020316701985393593,39
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,1289.000000000000000000000000000000,3882,5,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
563,563_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1093,5,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
564,564_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2766,5,92,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,69
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1302.000000000000000000000000000000,22,7,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,57
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,698,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,661.000000000000000000000000000000,3570,5,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.627998858525922631912408178323,17
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,800.000000000000000000000000000000,3835,3,3224,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1294.000000000000000000000000000000,1,7,3360,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
570,570_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,23
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,1671.000000000000000000000000000000,415,9,4889,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,609.000000000000000000000000000000,1197,5,4146,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.316223559161507017378767159244,54
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1164.000000000000000000000000000000,809,7,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.526970506455900822295745911106,73
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1417.000000000000000000000000000000,1,7,1831,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,377.000000000000000000000000000000,2952,3,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,83
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,557.000000000000000000000000000000,1,5,1569,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,89
577,577_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4451,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2637,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,703.000000000000000000000000000000,1494,3,4509,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1366.000000000000000000000000000000,3825,7,126,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,26
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,280.000000000000000000000000000000,5000,3,1828,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,9
582,582_0,FAILED,BoTorch,BOTORCH_MODULAR,,,839,7,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,35
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1463.000000000000000000000000000000,154,7,1351,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1114.000000000000000000000000000000,5000,7,4030,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,42
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,288.000000000000000000000000000000,5000,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
586,586_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4495,0,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,67
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,679.000000000000000000000000000000,5000,5,2110,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.307598034924563945580189283646,46
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,575.000000000000000000000000000000,5000,5,1364,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,65
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1171.000000000000000000000000000000,1889,7,2474,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.324832054616715659722814280030,28
590,590_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3366,0,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,267.000000000000000000000000000000,3148,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,75
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,656.000000000000000000000000000000,5000,5,3068,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,88
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,985.000000000000000000000000000000,1497,5,3647,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,588.000000000000000000000000000000,5000,5,2078,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,84
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1457.000000000000000000000000000000,3890,4,927,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,748.000000000000000000000000000000,4677,5,2570,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,61
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,659.000000000000000000000000000000,5000,5,1667,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,689.000000000000000000000000000000,4835,5,4028,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17
599,599_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,135,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1785.000000000000000000000000000000,398,7,2150,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,562.000000000000000000000000000000,5000,5,1943,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,691.000000000000000000000000000000,4517,5,1866,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.680669102091110977958976491209,14
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,262.000000000000000000000000000000,4748,3,1561,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,350.000000000000000000000000000000,4913,3,4874,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.580669594379528808403279072081,45
605,605_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,7,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,631.000000000000000000000000000000,3257,5,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,57
607,607_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3617,0,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
608,608_0,FAILED,BoTorch,BOTORCH_MODULAR,,,191,0,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,908.000000000000000000000000000000,4659,5,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.548112685546848221740390272316,85
610,610_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,296.000000000000000000000000000000,3329,3,1303,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20
612,612_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4786,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1052.000000000000000000000000000000,5000,7,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,727.000000000000000000000000000000,3158,5,2852,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.745803688915681384230538242264,63
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1936.000000000000000000000000000000,1395,6,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,301.000000000000000000000000000000,3900,3,852,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,3
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1142.000000000000000000000000000000,2792,8,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,485.000000000000000000000000000000,4745,5,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1089.000000000000000000000000000000,1388,1,1252,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,578.000000000000000000000000000000,4660,5,2022,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,626.000000000000000000000000000000,368,5,1671,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.020273044131361231401378120154,51
622,622_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1580,0,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
623,623_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2014,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,41
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1818.000000000000000000000000000000,5000,7,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
625,625_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1984,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,30
626,626_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,792.000000000000000000000000000000,4752,5,2540,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.437308619084027183632201740693,31
627,627_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,755.000000000000000000000000000000,4914,5,4967,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.382705687040439113122403114176,20
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1297.000000000000000000000000000000,216,7,1599,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,631.000000000000000000000000000000,114,5,2169,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,38
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,846.000000000000000000000000000000,2460,5,1576,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,83
632,632_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2633,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30
633,633_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,651.000000000000000000000000000000,4293,5,2783,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,71
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,568.000000000000000000000000000000,5000,5,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,583.000000000000000000000000000000,4436,5,499,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,549.000000000000000000000000000000,596,5,3120,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.478548660798918057412976168052,93
637,637_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1332.000000000000000000000000000000,5000,7,3633,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.827411697362240516895326436497,1
638,638_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4061,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,603.000000000000000000000000000000,1,5,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,1352.000000000000000000000000000000,4125,8,2925,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,812.000000000000000000000000000000,3441,5,3489,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,73
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,958.000000000000000000000000000000,928,5,2193,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,69
643,643_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,64,0,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44
644,644_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1111,0,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,645.000000000000000000000000000000,4937,5,3751,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.451758613971041722567889564743,63
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,699.000000000000000000000000000000,4562,5,974,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.549582561350244636066975090216,51
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1210.000000000000000000000000000000,1130,7,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,79
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1211.000000000000000000000000000000,5000,7,2905,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28
649,649_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3397,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,28
650,650_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,642.000000000000000000000000000000,4950,5,4654,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,74
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,792.000000000000000000000000000000,3853,5,852,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,56
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,630.000000000000000000000000000000,2897,5,892,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,45
653,653_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4115,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,753.000000000000000000000000000000,5000,5,1968,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,660.000000000000000000000000000000,1,5,3028,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.725559563537816365474952817749,100
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1191.000000000000000000000000000000,1,7,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,605.000000000000000000000000000000,5000,5,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,49
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,286.000000000000000000000000000000,2091,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,271.000000000000000000000000000000,4813,3,1697,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.627664847782425483480039929418,28
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,857.000000000000000000000000000000,5000,5,1901,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.560805232642946127619154594868,23
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1174.000000000000000000000000000000,1575,7,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21
662,51_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
663,663_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,611.000000000000000000000000000000,3143,5,4030,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,56
664,664_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,727.000000000000000000000000000000,5000,5,3924,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,696.000000000000000000000000000000,74,5,1013,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
666,666_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,0,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
667,667_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1304,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,711.000000000000000000000000000000,360,5,4311,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,63
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,780.000000000000000000000000000000,5000,5,1400,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,33
670,670_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1923,0,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,72
671,671_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.121783050596294004086495021966,1
672,672_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1244,0,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46
673,673_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4769,0,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
674,674_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4462,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58
675,675_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1916,0,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,601.000000000000000000000000000000,3529,5,4598,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,59
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,684.000000000000000000000000000000,5000,5,2370,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,438.000000000000000000000000000000,5000,3,2150,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,274.000000000000000000000000000000,1,3,1516,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21
680,680_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,779.000000000000000000000000000000,2231,5,3826,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,1197.000000000000000000000000000000,868,5,1656,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,77
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,515.000000000000000000000000000000,1508,3,1964,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,763.000000000000000000000000000000,4456,5,3480,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1119.000000000000000000000000000000,1,7,3631,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.284674961952941452114629328207,51
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,633.000000000000000000000000000000,4596,5,2416,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1149.000000000000000000000000000000,5000,7,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,617.000000000000000000000000000000,106,5,3607,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36
688,688_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,759.000000000000000000000000000000,3434,5,1948,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,232.000000000000000000000000000000,5000,3,773,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,787.000000000000000000000000000000,1,5,4185,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.201880269933762290790468796331,1
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,676.000000000000000000000000000000,5000,5,4188,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,56
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,2135.000000000000000000000000000000,4205,9,2177,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,1452.000000000000000000000000000000,1,9,2491,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,378.000000000000000000000000000000,5000,3,770,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21
695,695_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,647.000000000000000000000000000000,378,5,2987,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.346177527870464907255865227853,28
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,607.000000000000000000000000000000,5000,5,2226,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,651.000000000000000000000000000000,320,5,4559,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39
698,698_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2667,5,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,367.000000000000000000000000000000,2789,3,1856,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,41
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,669.000000000000000000000000000000,1604,5,4592,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,75
701,701_0,FAILED,BoTorch,BOTORCH_MODULAR,,,199,2,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43
702,702_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,611.000000000000000000000000000000,5000,5,4061,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,583.000000000000000000000000000000,1,5,3789,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,61
704,704_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,604.000000000000000000000000000000,1,5,2740,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,2056.000000000000000000000000000000,1,9,3365,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,59
706,706_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,0,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,754.000000000000000000000000000000,2761,5,1434,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.722789353990687888362742796744,33
708,708_0,FAILED,BoTorch,BOTORCH_MODULAR,,,127,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,35
709,709_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,750.000000000000000000000000000000,2678,5,2831,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
710,710_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,296.000000000000000000000000000000,1169,3,948,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29
711,711_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
712,712_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,1218.000000000000000000000000000000,105,9,3966,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,1472.000000000000000000000000000000,1813,9,3552,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31
714,714_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1252.000000000000000000000000000000,189,7,1589,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.461050492632001929216301050474,29
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1044.000000000000000000000000000000,1211,5,384,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,719.000000000000000000000000000000,331,5,381,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,80
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,237.000000000000000000000000000000,4920,3,1855,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.410854871025255308225609951478,20
718,718_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,255.000000000000000000000000000000,226,3,1709,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.435617686373688584033914139582,24
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,760.000000000000000000000000000000,1,5,554,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19
720,720_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,3540.000000000000000000000000000000,1723,5,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,35
721,721_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1900,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,35
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,631.000000000000000000000000000000,1,5,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
723,723_0,FAILED,BoTorch,BOTORCH_MODULAR,,,524,5,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,561.000000000000000000000000000000,1,5,3112,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.516536051681521279910214161646,100
725,725_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,791.000000000000000000000000000000,3048,5,1089,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,58
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,771.000000000000000000000000000000,3781,5,726,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,47
727,727_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1478.000000000000000000000000000000,4479,7,1413,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.490125509108254975298990530064,42
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1490.000000000000000000000000000000,4615,7,3065,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.496634482176018077215218227138,80
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,747.000000000000000000000000000000,4188,5,1567,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,714.000000000000000000000000000000,3227,5,1308,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.211613916642467064788135644449,1
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,607.000000000000000000000000000000,811,5,945,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001976915518347341707561248825,100
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,1172.000000000000000000000000000000,4072,9,3679,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,742.000000000000000000000000000000,5000,5,805,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,302.000000000000000000000000000000,4582,3,1391,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,4
735,735_0,FAILED,BoTorch,BOTORCH_MODULAR,,,825,0,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,26
736,736_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3104,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
737,737_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,639.000000000000000000000000000000,1769,5,3399,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34
738,738_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,648.000000000000000000000000000000,2004,5,829,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,10
739,739_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,927.000000000000000000000000000000,2726,5,2622,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,263.000000000000000000000000000000,4971,3,2730,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.131179206245531726482411727375,28
741,741_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2988,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20
742,742_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,794.000000000000000000000000000000,3264,5,1253,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38
743,743_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,604.000000000000000000000000000000,1,5,989,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1028.000000000000000000000000000000,5000,7,3415,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,59
745,745_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3027,0,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,68
746,746_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3035,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
747,747_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1511,0,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
748,748_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1619.000000000000000000000000000000,2531,7,3883,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,699.000000000000000000000000000000,4304,5,1315,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
750,750_0,FAILED,BoTorch,BOTORCH_MODULAR,,,552,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
751,751_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1031.000000000000000000000000000000,3135,5,3515,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46
752,752_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4031,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.920304098609489806825934010703,100
753,753_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3589,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
754,754_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,309.000000000000000000000000000000,4332,3,2620,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1051.000000000000000000000000000000,3713,7,4657,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.385167990425939410492617298587,27
756,756_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2003,5,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,83
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,707.000000000000000000000000000000,4556,5,1077,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1438.000000000000000000000000000000,1,7,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.943403284361901794952132149774,53
759,759_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,95
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1085.000000000000000000000000000000,5000,7,3744,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,677.000000000000000000000000000000,4878,5,1049,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74
762,762_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1103.000000000000000000000000000000,2482,7,1528,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.636092972212270568732606079720,100
763,763_0,FAILED,BoTorch,BOTORCH_MODULAR,,,466,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
764,764_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1247,0,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,80
765,765_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3850,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
766,766_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4187,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
767,767_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4596,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
768,768_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3455,9,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,68
769,769_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3740,9,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,93
770,770_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5,3256,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62
</pre>
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			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
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<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4627361/4627361_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4637837/4637837_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4638081/4638081_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4640670/4640670_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4644688/4644688_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4646100/4646100_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4651659/4651659_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4655759/4655759_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4657449/4657449_0_log.err not found


⚠ Job 4655233 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4655233/4655233_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4655233/4655233_0_log.out
----------------------------------------
submitit INFO (2025-04-23 22:41:02,893) - Starting with JobEnvironment(job_id=4655233, hostname=i7175, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-23 22:41:02,907) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4655233/4655233_submitted.pkl
slurmstepd: error: *** JOB 4655233 ON i7175 CANCELLED AT 2025-04-24T00:41:06 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4655233/4655233_0_log.err not found


⚠ Job 4659398 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4659398/4659398_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4659398/4659398_0_log.out
----------------------------------------
submitit INFO (2025-04-24 00:19:06,140) - Starting with JobEnvironment(job_id=4659398, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-24 00:19:06,161) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4659398/4659398_submitted.pkl
slurmstepd: error: *** JOB 4659398 ON i7180 CANCELLED AT 2025-04-24T02:19:07 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4659398/4659398_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4672703/4672703_0_log.err not found


⚠ Job 4673643 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673643/4673643_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673643/4673643_0_log.out
----------------------------------------
submitit INFO (2025-04-24 06:02:12,090) - Starting with JobEnvironment(job_id=4673643, hostname=i7174, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-24 06:02:12,092) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673643/4673643_submitted.pkl
slurmstepd: error: *** JOB 4673643 ON i7174 CANCELLED AT 2025-04-24T08:02:15 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673643/4673643_0_log.err not found


⚠ Job 4673960 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673960/4673960_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673960/4673960_0_log.out
----------------------------------------
submitit INFO (2025-04-24 06:11:13,135) - Starting with JobEnvironment(job_id=4673960, hostname=i7175, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-24 06:11:13,137) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673960/4673960_submitted.pkl
slurmstepd: error: *** JOB 4673960 ON i7175 CANCELLED AT 2025-04-24T08:11:15 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4673960/4673960_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4679802/4679802_0_log.err not found


⚠ Job 4679082 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4679082/4679082_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4679082/4679082_0_log.out
----------------------------------------
submitit INFO (2025-04-24 08:29:34,716) - Starting with JobEnvironment(job_id=4679082, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-24 08:29:34,722) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4679082/4679082_submitted.pkl
slurmstepd: error: *** JOB 4679082 ON i7186 CANCELLED AT 2025-04-24T10:29:51 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4679082/4679082_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4684550/4684550_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685256/4685256_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4685748/4685748_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4687711/4687711_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4689400/4689400_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4694363/4694363_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4697339/4697339_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4701179/4701179_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4703732/4703732_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4707836/4707836_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708983/4708983_0_log.err not found


⚠ Job 4707505 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4707505/4707505_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4707505/4707505_0_log.out
----------------------------------------
submitit INFO (2025-04-25 01:12:49,927) - Starting with JobEnvironment(job_id=4707505, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-25 01:12:49,929) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4707505/4707505_submitted.pkl
slurmstepd: error: *** JOB 4707505 ON i7182 CANCELLED AT 2025-04-25T03:13:03 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4707505/4707505_0_log.err not found


⚠ Job 4708297 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708297/4708297_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708297/4708297_0_log.out
----------------------------------------
submitit INFO (2025-04-25 01:38:50,939) - Starting with JobEnvironment(job_id=4708297, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-25 01:38:50,971) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708297/4708297_submitted.pkl
slurmstepd: error: *** JOB 4708297 ON i7180 CANCELLED AT 2025-04-25T03:39:03 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708297/4708297_0_log.err not found


⚠ Job 4708630 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708630/4708630_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708630/4708630_0_log.out
----------------------------------------
submitit INFO (2025-04-25 01:50:00,477) - Starting with JobEnvironment(job_id=4708630, hostname=i7178, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-25 01:50:00,480) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708630/4708630_submitted.pkl
slurmstepd: error: *** JOB 4708630 ON i7178 CANCELLED AT 2025-04-25T03:50:03 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4708630/4708630_0_log.err not found


⚠ Job 4709381 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709381/4709381_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709381/4709381_0_log.out
----------------------------------------
submitit INFO (2025-04-25 02:17:34,951) - Starting with JobEnvironment(job_id=4709381, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-25 02:17:34,957) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709381/4709381_submitted.pkl
slurmstepd: error: *** JOB 4709381 ON i7185 CANCELLED AT 2025-04-25T04:17:35 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709381/4709381_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4720652/4720652_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4722233/4722233_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4725862/4725862_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4729290/4729290_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4734079/4734079_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4734921/4734921_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4742464/4742464_0_log.err not found


⚠ Job 4741586 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4741586/4741586_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4741586/4741586_0_log.out
----------------------------------------
submitit INFO (2025-04-25 22:00:17,614) - Starting with JobEnvironment(job_id=4741586, hostname=i7004, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-25 22:00:17,617) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4741586/4741586_submitted.pkl
slurmstepd: error: *** JOB 4741586 ON i7004 CANCELLED AT 2025-04-26T00:00:43 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4741586/4741586_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4744667/4744667_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4747359/4747359_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4751352/4751352_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752370/4752370_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752941/4752941_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4754750/4754750_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4756386/4756386_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4758673/4758673_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4759630/4759630_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760112/4760112_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760956/4760956_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4761411/4761411_0_log.err not found


⚠ Job 4760542 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760542/4760542_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_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760542/4760542_0_log.out
----------------------------------------
submitit INFO (2025-04-26 11:05:56,494) - Starting with JobEnvironment(job_id=4760542, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-26 11:05:56,496) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760542/4760542_submitted.pkl
slurmstepd: error: *** JOB 4760542 ON i7181 CANCELLED AT 2025-04-26T13:06:13 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4760542/4760542_0_log.err not found

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
			
			<h1>&nbsp;Args Overview</h1>
			<h2>Arguments Overview:                                                                             </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value                                                                                                                         </th></tr></thead><tbody><tr><td> config_yaml</td><td>None                                                                                                                          </td></tr><tr><td> config_toml</td><td>None                                                                                                                          </td></tr><tr><td> config_json</td><td>None                                                                                                                          </td></tr><tr><td> num_random_steps</td><td>20                                                                                                                            </td></tr><tr><td> max_eval</td><td>50000                                                                                                                         </td></tr><tr><td> run_program</td><td>None                                                                                                                          </td></tr><tr><td> experiment_name</td><td>None                                                                                                                          </td></tr><tr><td> mem_gb</td><td>1                                                                                                                             </td></tr><tr><td> parameter</td><td>None                                                                                                                          </td></tr><tr><td> continue_previous_job</td><td>/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/ </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                          </td></tr><tr><td> run_dir</td><td>runs                                                                                                                          </td></tr><tr><td> seed</td><td>None                                                                                                                          </td></tr><tr><td> decimalrounding</td><td>4                                                                                                                             </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                         </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                         </td></tr><tr><td> model</td><td>None                                                                                                                          </td></tr><tr><td> gridsearch</td><td>False                                                                                                                         </td></tr><tr><td> occ</td><td>False                                                                                                                         </td></tr><tr><td> show_sixel_scatter</td><td>False                                                                                                                         </td></tr><tr><td> show_sixel_general</td><td>False                                                                                                                         </td></tr><tr><td> show_sixel_trial_index_result</td><td>False                                                                                                                         </td></tr><tr><td> follow</td><td>False                                                                                                                         </td></tr><tr><td> send_anonymized_usage_stats</td><td>False                                                                                                                         </td></tr><tr><td> ui_url</td><td>None                                                                                                                          </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                                </td></tr><tr><td> exclude</td><td>None                                                                                                                          </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                             </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                             </td></tr><tr><td> max_nr_of_zero_results</td><td>10                                                                                                                            </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                         </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                          </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                         </td></tr><tr><td> live_share</td><td>False                                                                                                                         </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                         </td></tr><tr><td> workdir</td><td>False                                                                                                                         </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                        </td></tr><tr><td> result_names</td><td>[&#039;RESULT=min&#039;]                                                                                                                </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                             </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                          </td></tr><tr><td> generate_all_jobs_at_once</td><td>False                                                                                                                         </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                          </td></tr><tr><td> load_data_from_existing_jobs</td><td>[]                                                                                                                            </td></tr><tr><td> n_estimators_randomforest</td><td>100                                                                                                                           </td></tr><tr><td> external_generator</td><td>None                                                                                                                          </td></tr><tr><td> username</td><td>None                                                                                                                          </td></tr><tr><td> max_failed_jobs</td><td>None                                                                                                                          </td></tr><tr><td> num_parallel_jobs</td><td>20                                                                                                                            </td></tr><tr><td> worker_timeout</td><td>120                                                                                                                           </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                         </td></tr><tr><td> time</td><td></td></tr><tr><td> partition</td><td></td></tr><tr><td> reservation</td><td>None                                                                                                                          </td></tr><tr><td> force_local_execution</td><td>False                                                                                                                         </td></tr><tr><td> slurm_signal_delay_s</td><td>0                                                                                                                             </td></tr><tr><td> nodes_per_job</td><td>1                                                                                                                             </td></tr><tr><td> cpus_per_task</td><td>1                                                                                                                             </td></tr><tr><td> account</td><td>None                                                                                                                          </td></tr><tr><td> gpus</td><td>0                                                                                                                             </td></tr><tr><td> run_mode</td><td>local                                                                                                                         </td></tr><tr><td> verbose</td><td>False                                                                                                                         </td></tr><tr><td> verbose_break_run_search_table</td><td>False                                                                                                                         </td></tr><tr><td> debug</td><td>False                                                                                                                         </td></tr><tr><td> no_sleep</td><td>False                                                                                                                         </td></tr><tr><td> tests</td><td>False                                                                                                                         </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False                                                                                                                         </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False                                                                                                                         </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False                                                                                                                         </td></tr><tr><td> raise_in_eval</td><td>False                                                                                                                         </td></tr><tr><td> show_ram_every_n_seconds</td><td>False                                                                                                                         </td></tr></tbody></table>
			<h1>&nbsp;Worker-Usage</h1>
			<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
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1745623191.382376,20,2,10
1745623191.9993906,20,2,10
1745623209.3408852,20,1,5
1745623209.811983,20,1,5
1745624386.3744423,20,1,5
1745624386.9879913,20,1,5
1745624388.4219604,20,2,10
1745624404.3658695,20,2,10
1745625503.2556012,20,2,10
1745625503.5641673,20,2,10
1745625505.079221,20,3,15
1745625510.076374,20,3,15
1745625528.2122731,20,2,10
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1745626830.6036637,20,2,10
1745626830.9868221,20,2,10
1745626832.374631,20,3,15
1745626852.8517187,20,3,15
1745628047.6750293,20,3,15
1745628048.0024812,20,3,15
1745628049.3892765,20,4,20
1745628076.5587707,20,4,20
1745628104.6959648,20,4,20
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1745628170.4653811,20,4,20
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1745628233.9011037,20,4,20
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1745628521.8208044,20,3,15
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1745628600.6733358,20,3,15
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1745629351.4882498,20,2,10
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1745629415.405324,20,2,10
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1745629480.154419,20,2,10
1745629500.569809,20,2,10
1745629523.0628557,20,2,10
1745629543.8262992,20,2,10
1745629566.2119603,20,2,10
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1745629631.1251423,20,2,10
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1745629674.40458,20,2,10
1745629695.235889,20,2,10
1745629717.8111703,20,2,10
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1745629761.5857868,20,2,10
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1745629825.4118733,20,2,10
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1745629868.534358,20,2,10
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1745629911.961269,20,2,10
1745629934.530112,20,2,10
1745629955.652345,20,2,10
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1745629999.052241,20,2,10
1745630021.863914,20,2,10
1745630042.5217519,20,2,10
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1745630128.6141498,20,2,10
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1745630365.699246,20,2,10
1745630388.6347494,20,2,10
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1745630430.1513598,20,2,10
1745630452.6923246,20,2,10
1745630473.58974,20,2,10
1745630496.3300214,20,2,10
1745630517.3649971,20,2,10
1745630540.4575944,20,2,10
1745630561.484825,20,2,10
1745630583.18132,20,2,10
1745630604.6478288,20,2,10
1745630626.2189655,20,1,5
1745630642.2243907,20,1,5
1745630658.2666342,20,1,5
1745630674.405132,20,1,5
1745630690.7511067,20,1,5
1745630706.8052366,20,1,5
1745630722.9444404,20,1,5
1745630739.0938776,20,1,5
1745630755.1238244,20,1,5
1745630771.18398,20,1,5
1745630786.9447832,20,1,5
1745630803.1519952,20,1,5
1745630819.3824365,20,1,5
1745630834.8163404,20,1,5
1745630851.039676,20,1,5
1745630870.0124598,20,1,5
1745630886.3757575,20,1,5
1745630902.7738898,20,1,5
1745630919.0391464,20,1,5
1745630935.2990968,20,1,5
1745630950.8188906,20,1,5
1745630966.9435647,20,1,5
1745630982.9213376,20,1,5
1745630998.8068426,20,1,5
1745631014.7027962,20,1,5
1745631029.7775993,20,1,5
1745631045.654831,20,1,5
1745631061.6898072,20,1,5
1745631077.794954,20,1,5
1745631093.1410263,20,1,5
1745631109.4115849,20,1,5
1745631125.6001852,20,1,5
1745631141.0137448,20,1,5
1745631157.0456917,20,1,5
1745631173.086223,20,1,5
1745631188.2089038,20,1,5
1745631204.1798515,20,1,5
1745631220.4762003,20,1,5
1745631235.940138,20,1,5
1745631252.0947511,20,1,5
1745631268.5168314,20,1,5
1745631283.9987557,20,1,5
1745631300.67728,20,1,5
1745631317.1969962,20,1,5
1745631332.6584048,20,1,5
1745631349.2266395,20,1,5
1745631364.5239823,20,1,5
1745631380.976297,20,1,5
1745631396.2948258,20,1,5
1745631412.3443222,20,1,5
1745631428.2756226,20,1,5
1745631443.884938,20,1,5
1745631460.6182506,20,1,5
1745631476.0822034,20,1,5
1745631492.6808002,20,1,5
1745631508.2762148,20,1,5
1745631524.8783164,20,1,5
1745631540.2634983,20,1,5
1745631556.5915606,20,1,5
1745631573.186307,20,1,5
1745631588.6400352,20,1,5
1745631605.3226967,20,1,5
1745631620.7156343,20,1,5
1745631637.0967793,20,1,5
1745631652.4171393,20,1,5
1745631668.7050946,20,1,5
1745631684.4544764,20,1,5
1745631701.1550639,20,1,5
1745631716.850507,20,1,5
1745631733.63294,20,1,5
1745631749.3540652,20,1,5
1745631765.8859499,20,1,5
1745631781.507888,20,1,5
1745631796.7714393,20,1,5
1745631813.243707,20,1,5
1745631828.6948817,20,1,5
1745631845.505892,20,1,5
1745631861.2644484,20,1,5
1745631878.1498306,20,1,5
1745631893.8266048,20,1,5
1745631910.6891806,20,1,5
1745631926.2995577,20,1,5
1745631942.949256,20,1,5
1745631958.6425836,20,1,5
1745631974.3906212,20,1,5
1745631991.1442692,20,1,5
1745632006.7258232,20,1,5
1745632023.6474638,20,1,5
1745632039.3454137,20,1,5
1745632055.120179,20,1,5
1745632071.9593854,20,1,5
1745632087.8800917,20,1,5
1745632103.7010527,20,1,5
1745632120.417796,20,1,5
1745632136.0565715,20,1,5
1745632151.712709,20,1,5
1745632168.5689647,20,1,5
1745632184.2055306,20,1,5
1745632199.8707373,20,1,5
1745632216.5012176,20,1,5
1745632232.2027714,20,1,5
1745632247.718344,20,1,5
1745632264.6584208,20,1,5
1745632280.015479,20,1,5
1745632295.939074,20,1,5
1745632312.7759035,20,1,5
1745632328.7415268,20,1,5
1745632344.539472,20,1,5
1745632361.7665577,20,1,5
1745632377.61376,20,1,5
1745632393.4066484,20,1,5
1745632410.4826005,20,1,5
1745632426.4305875,20,1,5
1745632442.4177854,20,1,5
1745632458.6231108,20,1,5
1745632475.8395114,20,1,5
1745632491.8102455,20,1,5
1745632507.7077446,20,1,5
1745632523.7517433,20,1,5
1745632540.8215098,20,1,5
1745632556.647854,20,1,5
1745632572.4281018,20,1,5
1745632588.1991038,20,1,5
1745632605.3095198,20,1,5
1745632621.141276,20,1,5
1745632636.9772348,20,1,5
1745632652.5762594,20,1,5
1745632669.1339538,20,1,5
1745632684.863612,20,1,5
1745632700.5319943,20,1,5
1745632716.3453755,20,1,5
1745632733.419077,20,1,5
1745632749.021626,20,1,5
1745632764.762271,20,1,5
1745632780.2848651,20,1,5
1745632795.5622199,20,1,5
1745632811.8440723,20,1,5
1745632827.290496,20,1,5
1745632842.6543,20,1,5
1745632858.315223,20,1,5
1745632874.0967185,20,1,5
1745632891.4630244,20,1,5
1745632907.4410512,20,1,5
1745632923.4908211,20,1,5
1745632939.3406618,20,1,5
1745632955.0622983,20,1,5
1745632970.9671876,20,1,5
1745632988.2327962,20,1,5
1745633004.359194,20,1,5
1745633020.4442892,20,1,5
1745633036.559148,20,1,5
1745633071.2941015,20,0,0
1745634530.4862244,20,0,0
1745634530.738552,20,0,0
1745634533.0024977,20,1,5
1745634544.110425,20,1,5
1745635814.0984063,20,1,5
1745635814.471808,20,1,5
1745635816.1254067,20,2,10
1745635816.507407,20,2,10
1745635837.1596644,20,1,5
1745635837.3689873,20,1,5
1745637208.5172167,20,1,5
1745637209.0405178,20,1,5
1745637210.4900234,20,2,10
1745637211.2138793,20,2,10
1745637229.9801705,20,1,5
1745637230.1778262,20,1,5
1745638602.0964465,20,1,5
1745638602.4391015,20,1,5
1745638604.084812,20,2,10
1745638604.4456494,20,2,10
1745638622.8753316,20,1,5
1745638623.0756712,20,1,5
1745639820.7737463,20,1,5
1745639821.1298678,20,1,5
1745639823.096349,20,2,10
1745639823.4572144,20,2,10
1745639842.9133844,20,1,5
1745639843.1164687,20,1,5
1745641352.129678,20,1,5
1745641352.472827,20,1,5
1745641354.1053507,20,2,10
1745641354.7685175,20,2,10
1745641371.5913591,20,1,5
1745641371.8730814,20,1,5
1745643096.9193811,20,1,5
1745643097.2579129,20,1,5
1745643099.034857,20,2,10
1745643099.6621954,20,2,10
1745643117.0969753,20,1,5
1745643117.2965035,20,1,5
1745644551.4139636,20,1,5
1745644552.027857,20,1,5
1745644554.48091,20,2,10
1745644554.8116548,20,2,10
1745644573.6039627,20,1,5
1745644573.8908746,20,1,5
1745645637.9007187,20,1,5
1745645638.2596238,20,1,5
1745645640.0947735,20,2,10
1745645640.7229536,20,2,10
1745645658.5090327,20,1,5
1745645658.9140713,20,1,5
1745647348.9075274,20,1,5
1745647349.2581458,20,1,5
1745647351.0454051,20,2,10
1745647351.682742,20,2,10
1745647368.4884145,20,1,5
1745647368.8799567,20,1,5
1745648995.3132281,20,1,5
1745648995.9185889,20,1,5
1745648997.3683648,20,2,10
1745648997.7073925,20,2,10
1745649015.96381,20,1,5
1745649016.1653996,20,1,5
1745650370.175526,20,1,5
1745650370.5294602,20,1,5
1745650372.0914247,20,2,10
1745650372.7600782,20,2,10
1745650390.2653012,20,1,5
1745650390.6251528,20,1,5
1745651818.5456758,20,1,5
1745651819.045134,20,1,5
1745651821.5646393,20,2,10
1745651822.2168956,20,2,10
1745651840.2344513,20,1,5
1745651840.4625864,20,1,5
1745653260.7167485,20,1,5
1745653261.079695,20,1,5
1745653262.5449042,20,2,10
1745653263.214928,20,2,10
1745653281.7584198,20,1,5
1745653281.9651477,20,1,5
1745654528.8995974,20,1,5
1745654529.2502112,20,1,5
1745654531.0053048,20,2,10
1745654531.3664303,20,2,10
1745654551.3221047,20,1,5
1745654551.8086743,20,1,5
1745655849.3287923,20,1,5
1745655849.9394796,20,1,5
1745655851.402493,20,2,10
1745655869.8616529,20,2,10
1745657159.2859757,20,2,10
1745657159.6163182,20,2,10
1745657161.0558736,20,3,15
1745657184.9004512,20,3,15
1745658346.8231714,20,3,15
1745658347.1268823,20,3,15
1745658348.568069,20,4,20
1745658355.1410847,20,4,20
1745658361.8858745,20,3,15
1745658381.039681,20,2,10
1745658381.1346388,20,2,10
1745659441.6484303,20,2,10
1745659442.004748,20,2,10
1745659443.4226282,20,3,15
1745659465.742245,20,3,15
1745660604.7482533,20,3,15
1745660605.0545294,20,3,15
1745660606.4627485,20,4,20
1745660617.2158954,20,4,20
1745660633.6429634,20,3,15
1745660633.9402752,20,3,15
1745660644.6476707,20,3,15
1745660656.8895802,20,2,10
</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
1745405513,635.8203125,26.8
1745405513,635.8203125,21.7
1745405513,635.88671875,22.3
1745405513,635.88671875,25.0
1745405513,635.88671875,24.4
1745405513,635.88671875,24.0
1745405513,635.88671875,18.6
1745406448,703.05078125,43.7
1745406448,703.05078125,48.9
1745406448,703.05078125,44.5
1745406448,703.05078125,48.9
1745418739,940.484375,42.3
1745418739,940.484375,40.4
1745418739,940.484375,40.3
1745418739,940.484375,33.3
1745431974,935.0390625,37.5
1745431974,935.0390625,40.8
1745431974,935.0390625,41.3
1745431974,935.0390625,43.9
1745448458,954.2421875,41.8
1745448458,954.2421875,37.0
1745448458,954.2421875,37.6
1745448458,954.2421875,41.2
1745468760,982.94140625,41.4
1745468761,982.94140625,39.2
1745468761,982.94140625,40.4
1745468761,982.94140625,46.5
1745491311,978.3515625,41.1
1745491311,978.3515625,42.7
1745491311,978.3515625,42.4
1745491311,978.3515625,41.5
1745510065,968.484375,36.5
1745510065,968.484375,40.9
1745510065,968.484375,40.4
1745510065,968.484375,39.1
1745530406,1016.5859375,36.9
1745530406,1016.5859375,39.1
1745530406,1016.5859375,38.7
1745530406,1016.5859375,38.1
1745554815,1037.00390625,37.1
1745554815,1037.00390625,32.6
1745554815,1037.00390625,31.7
1745554815,1037.00390625,31.5
1745577390,1099.33203125,37.7
1745577390,1099.33203125,37.5
1745577390,1099.33203125,36.9
1745577390,1099.33203125,40.9
1745603389,1028.6171875,36.9
1745603389,1028.6171875,39.4
1745603389,1028.6171875,38.1
1745603389,1028.6171875,39.8
1745628104,1019.33203125,37.4
1745628104,1019.33203125,34.4
1745628104,1019.33203125,33.6
1745628104,1019.33203125,27.3
1745660657,1074.6796875,38.6
1745660657,1074.6796875,38.0
1745660658,1074.6796875,36.9
1745660658,1074.6796875,35.2
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;Heatmap</h1>
			<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
			    <h1>Correlation Heatmap Explanation</h1>
			
			    <p>
			        This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
			    </p>
			
			    <h2>How It Works</h2>
			    <p>
			        The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
			    </p>
			    <ul>
			        <li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
			        <li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
			        <li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
			    </ul>
			
			    <h2>Color Scale: Yellow to Purple (Viridis)</h2>
			    <p>
			        The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
			    </p>
			    <ul>
			        <li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
			        <li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
			        <li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
			        <li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
			    </ul>
			
			    <h2>What the Heatmap Shows</h2>
			    <p>
			        In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
			    </p>
			
			<h1>&nbsp;Result-Pairs</h1>
			<div class="invert_in_dark_mode" id="plotResultPairs"></div>
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
			<h1>&nbsp;Exit-Codes</h1>
			<div class="invert_in_dark_mode" id="plotExitCodesPieChart"></div>
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