Experiment overview:

Experiment parameters:

Number of evaluations

Result names and types

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trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,batch_size,divergence,detect_batch,statistic,significance,subsets,feature_id
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,965.000000000000000000000000000000,4133,794,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.705877367138862621409600706102,35,4
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1278.000000000000000000000000000000,1645,2688,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.049357008961960671666879818531,98,4
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,865.000000000000000000000000000000,1159,1539,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.368762363186106112422635305848,11,4
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.450000000000000011102230246252,931.000000000000000000000000000000,3691,4687,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.901507386505603802717701000802,74,4
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,991.000000000000000000000000000000,3085,1917,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.557466967323794970745609589358,22,4
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,932.000000000000000000000000000000,514,3811,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.211845008868724121731119680589,59,4
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.440000000000000002220446049250,1652.000000000000000000000000000000,2289,84,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.391439647208899232921908151184,47,4
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.440000000000000002220446049250,925.000000000000000000000000000000,4738,3232,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.860836951674893491315287974430,84,4
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,805.000000000000000000000000000000,4410,1817,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.975433586243540040605637386761,16,4
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,814.000000000000000000000000000000,2002,4957,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.255805519932880975897404596253,54,4
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,863.000000000000000000000000000000,178,1145,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.076759136544540529367708359132,43,4
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.450000000000000011102230246252,1014.000000000000000000000000000000,2787,3040,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.670662548866122976143344658340,80,4
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.450000000000000011102230246252,882.000000000000000000000000000000,3431,440,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.763246144456788844223638079711,28,4
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,890.000000000000000000000000000000,784,3580,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.481219663552939880268866090773,90,4
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1412.000000000000000000000000000000,1397,2190,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.161266039505600922154826548649,3,4
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,938.000000000000000000000000000000,3766,4085,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.569017174398526504042195028887,66,4
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1152.000000000000000000000000000000,3965,2367,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.454316422658041119131411278431,97,4
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.479999999999999982236431605997,862.000000000000000000000000000000,1510,4222,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.799692749019712212366073345038,34,4
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1550.000000000000000000000000000000,667,611,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.620159068379551148275652394659,72,4
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,864.000000000000000000000000000000,3235,3721,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.151007306778803473967798254307,9,4
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,899.000000000000000000000000000000,2590,1009,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.305973507210612283291339963398,61,4
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,802.000000000000000000000000000000,62,2864,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.962252203946933115652484502789,24,4
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,839.000000000000000000000000000000,2115,1676,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.642785892022773586162998071813,85,4
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,876.000000000000000000000000000000,4610,4786,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.110282630525529390386196837426,48,4
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1637.000000000000000000000000000000,4857,264,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.224962851425632825996814290193,53,4
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.450000000000000011102230246252,931.000000000000000000000000000000,2482,3365,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.507234960705041926232183868706,16,4
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.489999999999999991118215802999,1120.000000000000000000000000000000,322,2092,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.827127627052366753979129043728,78,4
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.450000000000000011102230246252,842.000000000000000000000000000000,2965,3949,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.419130953012034290772191980068,40,4
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,922.000000000000000000000000000000,3571,1406,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.012723138671368362101476989778,93,4
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,898.000000000000000000000000000000,966,4508,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.732592881293967379541243190033,30,4
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1420.000000000000000000000000000000,4827,2059,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1070.000000000000000000000000000000,1,4795,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.179392280329752629164374866377,1,4
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1420.000000000000000000000000000000,1281,2739,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1418.000000000000000000000000000000,2541,3162,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1421.000000000000000000000000000000,4869,2102,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,881.000000000000000000000000000000,1,2740,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.156111508209008070791057321003,1,4
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1386.000000000000000000000000000000,5000,2706,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1409.000000000000000000000000000000,2762,2609,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1059.000000000000000000000000000000,5000,272,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1409.000000000000000000000000000000,5000,3566,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.799489672051832633847823217366,1,4
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1482.000000000000000000000000000000,4491,4848,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.438090733621484373916388221915,1,4
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1099.000000000000000000000000000000,1,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1418.000000000000000000000000000000,227,3675,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.757548708287424044094393593696,1,4
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1379.000000000000000000000000000000,4251,2475,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1411.000000000000000000000000000000,5000,1449,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1100.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,1028.000000000000000000000000000000,3943,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1062.000000000000000000000000000000,2521,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.257220092080916395982370659112,1,4
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1359.000000000000000000000000000000,92,4606,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.571176067449196356307083988213,1,4
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,827.000000000000000000000000000000,1,2479,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1429.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,861.000000000000000000000000000000,5000,2851,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1426.000000000000000000000000000000,2036,3706,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.768013332974323836843666413188,1,4
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1414.000000000000000000000000000000,1002,3327,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1409.000000000000000000000000000000,1,4770,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.650828245631399404658168350579,1,4
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,1017.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1424.000000000000000000000000000000,3838,3720,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.918265569648078261444368308730,1,4
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,782.000000000000000000000000000000,1,3352,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,906.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.338245195693185896068655438285,100,4
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1403.000000000000000000000000000000,1,2633,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,855.000000000000000000000000000000,115,393,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.377940997953696677935653269742,78,4
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,811.000000000000000000000000000000,4996,2058,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,4
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1035.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.007341816645853527917298109173,76,4
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,745.000000000000000000000000000000,804,3668,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,36,4
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,893.000000000000000000000000000000,2448,173,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,85,4
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,877.000000000000000000000000000000,9,152,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21,4
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,920.000000000000000000000000000000,1,1300,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,97,4
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,855.000000000000000000000000000000,1049,4645,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39,4
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,933.000000000000000000000000000000,5000,1286,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29,4
69,69_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,899.000000000000000000000000000000,1,1897,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,75,4
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,833.000000000000000000000000000000,5000,3297,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,70,4
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,761.000000000000000000000000000000,3176,3560,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,36,4
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1853.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,812.000000000000000000000000000000,3239,4003,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,881.000000000000000000000000000000,1,3830,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37,4
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,905.000000000000000000000000000000,4393,2732,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,4
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,849.000000000000000000000000000000,216,681,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1653.000000000000000000000000000000,2648,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.977291754788000788245483363426,100,4
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1726.000000000000000000000000000000,1299,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,896.000000000000000000000000000000,1,379,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,92,4
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,904.000000000000000000000000000000,4930,4388,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,825.000000000000000000000000000000,5000,4994,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,4
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1740.000000000000000000000000000000,1361,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,899.000000000000000000000000000000,5000,1105,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,876.000000000000000000000000000000,5000,4073,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,8,4
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1740.000000000000000000000000000000,1342,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.135011736564266487947705286388,100,4
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1002.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,4
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,827.000000000000000000000000000000,3475,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,37,4
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,773.000000000000000000000000000000,5000,2880,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34,4
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,869.000000000000000000000000000000,565,816,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,90,4
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,929.000000000000000000000000000000,866,676,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.613950467802873434131072372111,88,4
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,1047.000000000000000000000000000000,829,2202,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.912961354318642448468779093673,87,4
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1094.000000000000000000000000000000,1177,817,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.264993767846145422684145387393,88,4
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1076.000000000000000000000000000000,4258,742,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,88,4
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,893.000000000000000000000000000000,3512,719,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,90,4
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,878.000000000000000000000000000000,4539,952,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.536675845384784855340853937378,89,4
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1834.000000000000000000000000000000,742,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.225451564663545517275267116020,31,4
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,911.000000000000000000000000000000,149,2168,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.864564908431896039786579422071,28,4
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,905.000000000000000000000000000000,3075,2184,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.876042943132973817021991180809,28,4
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,921.000000000000000000000000000000,1240,819,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89,4
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1583.000000000000000000000000000000,1130,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,4
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,815.000000000000000000000000000000,4302,1888,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,83,4
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,844.000000000000000000000000000000,4026,2152,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.112767345213870412434786771883,32,4
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,892.000000000000000000000000000000,942,464,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.398244971640453859773600697736,17,4
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,903.000000000000000000000000000000,934,1287,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.578728735710772657085954051581,81,4
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,987.000000000000000000000000000000,322,211,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.639047390965278183649900256569,24,4
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,818.000000000000000000000000000000,1400,1140,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44,4
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,872.000000000000000000000000000000,4087,1537,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.483335245968846693997988950287,38,4
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,887.000000000000000000000000000000,690,134,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.786425952026289287744020839455,82,4
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,911.000000000000000000000000000000,1,808,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,93,4
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,899.000000000000000000000000000000,3763,770,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,88,4
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,882.000000000000000000000000000000,5000,820,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.108328169744096397542065801645,87,4
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1616.000000000000000000000000000000,2146,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.914657263873745018933902883873,33,4
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,805.000000000000000000000000000000,793,2017,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,29,4
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,824.000000000000000000000000000000,3116,776,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,91,4
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,949.000000000000000000000000000000,2607,2523,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.887402218087492755671519262251,51,4
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,874.000000000000000000000000000000,3842,888,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.545641549880680254425158182130,86,4
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,904.000000000000000000000000000000,3904,2541,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,79,4
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,892.000000000000000000000000000000,3603,1787,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.725896204374695486194468685426,1,4
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,788.000000000000000000000000000000,4562,3422,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.523861690807118418611310062261,29,4
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,816.000000000000000000000000000000,1298,3382,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.912931134344335371011425195320,29,4
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,843.000000000000000000000000000000,3502,731,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.966888602165624666540111320501,18,4
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,776.000000000000000000000000000000,2744,3283,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.103127844426810541533789944424,30,4
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,837.000000000000000000000000000000,1651,838,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,4
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,761.000000000000000000000000000000,4856,3417,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.118120304793992672576230518189,31,4
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,814.000000000000000000000000000000,1868,514,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.953441769601324873306680274254,17,4
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,867.000000000000000000000000000000,1760,908,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.279037442628089826790471761342,20,4
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,914.000000000000000000000000000000,1314,736,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.468088759144132338096966350349,17,4
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,764.000000000000000000000000000000,1438,3302,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.150656086450228043904786545681,29,4
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,851.000000000000000000000000000000,4042,1113,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.091250942025965578463519989327,100,4
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,840.000000000000000000000000000000,2986,1317,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.005401585931658695050039398211,25,4
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,797.000000000000000000000000000000,4301,3556,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.436002338866833871744432826745,23,4
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,820.000000000000000000000000000000,1544,3409,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.228440472617863488125067306100,38,4
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,802.000000000000000000000000000000,278,3598,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.098563907297412517438672807657,28,4
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,792.000000000000000000000000000000,4651,4350,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.105114594133581068513549894305,24,4
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,924.000000000000000000000000000000,192,3876,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.799973441140658603210056298849,27,4
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,947.000000000000000000000000000000,4909,441,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.612505966147347868933081826981,16,4
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,768.000000000000000000000000000000,441,3673,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.991741743985323664922759689944,100,4
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,837.000000000000000000000000000000,1328,3395,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.873298505221178578139529236068,45,4
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,819.000000000000000000000000000000,4106,449,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,50,4
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,859.000000000000000000000000000000,4697,3474,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.292766698469861474940501011588,36,4
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,777.000000000000000000000000000000,2991,3154,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.004711753742606321002095448591,33,4
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,966.000000000000000000000000000000,4267,1013,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.586283185001565509963938893634,20,4
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,833.000000000000000000000000000000,4366,4238,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,55,4
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,901.000000000000000000000000000000,4581,787,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19,4
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,793.000000000000000000000000000000,4477,3045,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.277166084523154165886182909162,42,4
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,907.000000000000000000000000000000,1079,3293,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.357292135958606205115017928620,42,4
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,772.000000000000000000000000000000,2117,3453,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27,4
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,861.000000000000000000000000000000,4836,795,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,4
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,919.000000000000000000000000000000,4008,4490,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.531065128642701611560994479078,16,4
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,800.000000000000000000000000000000,1144,3430,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34,4
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,826.000000000000000000000000000000,4213,4872,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26,4
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,1000.000000000000000000000000000000,3206,373,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.436452436730226045469294149370,26,4
154,154_0,FAILED,BoTorch,GenerationStep_1,,,3441,373,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.229804204400134354235873956895,100,4
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,820.000000000000000000000000000000,2924,2074,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33,4
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,909.000000000000000000000000000000,2851,2168,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,4
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,780.000000000000000000000000000000,2037,3412,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,9,4
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,860.000000000000000000000000000000,1378,2080,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,4
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,787.000000000000000000000000000000,3512,3398,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,56,4
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,875.000000000000000000000000000000,2012,3393,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,58,4
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,828.000000000000000000000000000000,4309,4387,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,4
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,873.000000000000000000000000000000,2415,4522,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17,4
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,832.000000000000000000000000000000,3625,3446,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38,4
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,783.000000000000000000000000000000,3179,4257,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.854044756653245751287784059969,17,4
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,794.000000000000000000000000000000,4973,3447,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,4
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,909.000000000000000000000000000000,473,4331,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.218227302466866807106882220069,94,4
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,919.000000000000000000000000000000,4116,3382,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37,4
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,796.000000000000000000000000000000,2877,2162,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23,4
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,833.000000000000000000000000000000,4510,3436,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,55,4
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,814.000000000000000000000000000000,1741,4379,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19,4
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,977.000000000000000000000000000000,3153,3604,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,90,4
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,865.000000000000000000000000000000,2717,4498,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,59,4
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,911.000000000000000000000000000000,4970,4992,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.370058612979715262358837435386,19,4
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,1046.000000000000000000000000000000,3139,4934,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.456867945668279540338829747270,93,4
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,923.000000000000000000000000000000,2274,4348,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,95,4
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,835.000000000000000000000000000000,4265,4248,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.194449933087837117939855602344,54,4
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,2363.000000000000000000000000000000,4344,801,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,97,4
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,806.000000000000000000000000000000,4190,2054,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,48,4
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,1027.000000000000000000000000000000,4722,4211,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.829332489592591204363714041392,100,4
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,805.000000000000000000000000000000,928,3917,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23,4
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,835.000000000000000000000000000000,2653,3926,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,84,4
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,905.000000000000000000000000000000,303,1479,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,4
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,965.000000000000000000000000000000,1346,1530,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44,4
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,910.000000000000000000000000000000,3263,1212,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,12,4
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,994.000000000000000000000000000000,33,1565,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,6,4
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1026.000000000000000000000000000000,5000,1651,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,837.000000000000000000000000000000,4008,1374,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,10,4
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,886.000000000000000000000000000000,3167,1428,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,60,4
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,831.000000000000000000000000000000,1342,1049,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15,4
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,940.000000000000000000000000000000,340,657,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,58,4
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,918.000000000000000000000000000000,2562,1245,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,4
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,869.000000000000000000000000000000,3155,4767,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,22,4
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,860.000000000000000000000000000000,4243,4753,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,45,4
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,845.000000000000000000000000000000,4548,1245,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35,4
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,847.000000000000000000000000000000,2760,1522,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,4
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,858.000000000000000000000000000000,1624,945,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43,4
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,840.000000000000000000000000000000,2629,644,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39,4
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,950.000000000000000000000000000000,596,2468,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,56,4
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,923.000000000000000000000000000000,4645,3893,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,4
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,962.000000000000000000000000000000,3863,799,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48,4
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,851.000000000000000000000000000000,4616,2842,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,70,4
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1052.000000000000000000000000000000,4007,1140,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,5,4
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,903.000000000000000000000000000000,2626,4439,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,69,4
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,995.000000000000000000000000000000,615,1950,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,51,4
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,908.000000000000000000000000000000,1602,1428,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,4
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,802.000000000000000000000000000000,368,3949,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,4
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,945.000000000000000000000000000000,4898,1463,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,43,4
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,835.000000000000000000000000000000,2566,4840,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,925.000000000000000000000000000000,728,4776,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70,4
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,839.000000000000000000000000000000,969,4928,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.290236783575018864045347299907,84,4
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,880.000000000000000000000000000000,2791,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.364100024063442273547508420961,85,4
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,902.000000000000000000000000000000,484,3949,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,71,4
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,766.000000000000000000000000000000,312,3737,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77,4
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,895.000000000000000000000000000000,1758,4921,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,33,4
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,874.000000000000000000000000000000,4032,4063,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,47,4
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,896.000000000000000000000000000000,2583,3284,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,70,4
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,960.000000000000000000000000000000,2264,4988,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,56,4
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1058.000000000000000000000000000000,574,2293,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,72,4
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,825.000000000000000000000000000000,2439,1334,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,4
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,805.000000000000000000000000000000,182,1754,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33,4
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,908.000000000000000000000000000000,589,4725,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,4
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,975.000000000000000000000000000000,233,2994,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,78,4
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,831.000000000000000000000000000000,1237,4423,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,47,4
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,883.000000000000000000000000000000,5000,2694,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,24,4
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,847.000000000000000000000000000000,158,2742,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,80,4
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,877.000000000000000000000000000000,268,4045,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,68,4
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,869.000000000000000000000000000000,3907,1761,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,66,4
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,826.000000000000000000000000000000,4750,550,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,64,4
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,830.000000000000000000000000000000,2250,4865,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,91,4
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1074.000000000000000000000000000000,1237,2786,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,3,4
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,963.000000000000000000000000000000,1888,2761,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,65,4
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,760.000000000000000000000000000000,3443,4402,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,86,4
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,864.000000000000000000000000000000,3077,3707,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72,4
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1211.000000000000000000000000000000,2302,1323,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,902.000000000000000000000000000000,3587,4610,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89,4
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,796.000000000000000000000000000000,1598,4906,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,9,4
237,237_0,FAILED,BoTorch,GenerationStep_1,,,2212,637,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,779.000000000000000000000000000000,3314,3208,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61,4
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,874.000000000000000000000000000000,4128,2841,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,65,4
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,963.000000000000000000000000000000,4890,4251,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,83,4
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,915.000000000000000000000000000000,4263,2371,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,57,4
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1731.000000000000000000000000000000,1049,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62,4
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,788.000000000000000000000000000000,1743,4194,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,82,4
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,896.000000000000000000000000000000,1571,4777,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86,4
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,814.000000000000000000000000000000,514,3430,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,26,4
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1133.000000000000000000000000000000,285,810,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,70,4
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,800.000000000000000000000000000000,590,4376,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,83,4
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,913.000000000000000000000000000000,4387,4306,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48,4
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,926.000000000000000000000000000000,3389,2931,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,51,4
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,871.000000000000000000000000000000,4811,1512,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39,4
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1739.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,4
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1212.000000000000000000000000000000,157,994,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,67,4
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,795.000000000000000000000000000000,1402,4321,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,83,4
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,990.000000000000000000000000000000,1725,922,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34,4
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,763.000000000000000000000000000000,454,3398,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,57,4
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,803.000000000000000000000000000000,1,3498,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,835.000000000000000000000000000000,1457,1523,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,4
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,859.000000000000000000000000000000,1259,4343,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,4
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,778.000000000000000000000000000000,4964,3760,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,58,4
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,861.000000000000000000000000000000,5000,1692,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,32,4
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,810.000000000000000000000000000000,1964,4223,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,4
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,964.000000000000000000000000000000,4235,4478,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,84,4
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,923.000000000000000000000000000000,1,3405,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,799.000000000000000000000000000000,4890,2375,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,58,4
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,947.000000000000000000000000000000,1281,1435,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30,4
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,770.000000000000000000000000000000,2139,4376,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,4
267,267_0,RUNNING,BoTorch,GenerationStep_1,,,438,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,4
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,3313.000000000000000000000000000000,3591,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,59,4
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,3502.000000000000000000000000000000,2941,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,60,4
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,927.000000000000000000000000000000,3234,687,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,49,4
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,922.000000000000000000000000000000,2488,751,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48,4
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,820.000000000000000000000000000000,5000,2372,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,56,4
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,1099.000000000000000000000000000000,3960,1733,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,69,4
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,909.000000000000000000000000000000,5000,642,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,67,4
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,929.000000000000000000000000000000,5000,1353,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,4
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,1077.000000000000000000000000000000,1,3703,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,96,4
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,882.000000000000000000000000000000,4741,2589,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.477957003347800557513380681485,57,4
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1023.000000000000000000000000000000,1,760,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,4
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,987.000000000000000000000000000000,5000,2001,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53,4
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,950.000000000000000000000000000000,159,618,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49,4
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,919.000000000000000000000000000000,471,2632,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,36,4
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,880.000000000000000000000000000000,5000,1862,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61,4
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,893.000000000000000000000000000000,5000,1851,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,74,4
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,852.000000000000000000000000000000,5000,1084,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72,4
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,865.000000000000000000000000000000,1,542,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44,4
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1396.000000000000000000000000000000,1,781,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,864.000000000000000000000000000000,4890,1974,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,64,4
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,947.000000000000000000000000000000,1,1093,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,988.000000000000000000000000000000,1,686,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,45,4
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,880.000000000000000000000000000000,5000,1686,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16,4
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,918.000000000000000000000000000000,4723,1773,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26,4
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,842.000000000000000000000000000000,1,660,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20,4
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1213.000000000000000000000000000000,1,357,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,38,4
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,830.000000000000000000000000000000,3506,755,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,51,4
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,1265.000000000000000000000000000000,1,3727,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,965.000000000000000000000000000000,1,353,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26,4
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,771.000000000000000000000000000000,3468,4451,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,29,4
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,826.000000000000000000000000000000,94,1358,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,60,4
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,824.000000000000000000000000000000,1853,1097,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,2,4
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,835.000000000000000000000000000000,3307,933,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,60,4
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,833.000000000000000000000000000000,3408,1192,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,59,4
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,909.000000000000000000000000000000,3774,1012,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,60,4
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,938.000000000000000000000000000000,4853,1211,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62,4
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,957.000000000000000000000000000000,244,1301,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,59,4
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,812.000000000000000000000000000000,3128,701,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,70,4
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,835.000000000000000000000000000000,4118,4376,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19,4
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,827.000000000000000000000000000000,1556,996,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,4
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,937.000000000000000000000000000000,1544,966,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.221063752416034431380609248663,25,4
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,785.000000000000000000000000000000,3391,4072,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,4
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,858.000000000000000000000000000000,4986,1064,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,58,4
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,888.000000000000000000000000000000,4584,718,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.136204045131359002818172143634,26,4
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,901.000000000000000000000000000000,3851,4802,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.678237992559581281959424359229,3,4
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,965.000000000000000000000000000000,1747,503,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.629017580912579643559467967862,23,4
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,748.000000000000000000000000000000,4111,3451,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,53,4
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,858.000000000000000000000000000000,882,1498,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61,4
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,906.000000000000000000000000000000,4329,799,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49,4
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,833.000000000000000000000000000000,3477,860,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27,4
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,890.000000000000000000000000000000,4408,1286,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.299239088750421156071013228939,57,4
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,898.000000000000000000000000000000,1484,4823,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.762270324477559046982833024231,1,4
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,921.000000000000000000000000000000,4575,1128,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,58,4
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,993.000000000000000000000000000000,3327,649,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21,4
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,879.000000000000000000000000000000,3950,1295,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.162667456105585028769411337635,61,4
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,842.000000000000000000000000000000,1130,1249,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61,4
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,861.000000000000000000000000000000,3751,1894,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,49,4
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1008.000000000000000000000000000000,3297,2539,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,60,4
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,772.000000000000000000000000000000,2652,3019,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,61,4
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1051.000000000000000000000000000000,1426,517,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,12,4
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,810.000000000000000000000000000000,3940,4395,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,844.000000000000000000000000000000,4450,2145,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,60,4
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,853.000000000000000000000000000000,2803,1021,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,4
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,956.000000000000000000000000000000,1161,967,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30,4
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1041.000000000000000000000000000000,1261,1367,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46,4
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,846.000000000000000000000000000000,2681,995,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44,4
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,975.000000000000000000000000000000,64,4898,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38,4
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,834.000000000000000000000000000000,5000,3670,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77,4
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1019.000000000000000000000000000000,4384,1156,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,4
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,786.000000000000000000000000000000,540,2921,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,52,4
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,871.000000000000000000000000000000,249,1051,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,47,4
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,966.000000000000000000000000000000,1,4634,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58,4
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,821.000000000000000000000000000000,110,1631,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,34,4
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,981.000000000000000000000000000000,3804,1287,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,4
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,922.000000000000000000000000000000,2122,1606,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,52,4
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,926.000000000000000000000000000000,4054,2577,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31,4
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,769.000000000000000000000000000000,1064,4508,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,4
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,967.000000000000000000000000000000,4509,4681,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,56,4
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,832.000000000000000000000000000000,3407,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,766.000000000000000000000000000000,817,4668,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31,4
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,831.000000000000000000000000000000,917,4873,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41,4
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,926.000000000000000000000000000000,1495,3135,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,4
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,776.000000000000000000000000000000,1,3605,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,6,4
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,788.000000000000000000000000000000,1,4433,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1448.000000000000000000000000000000,3062,1635,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86,4
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1081.000000000000000000000000000000,4860,1748,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,889.000000000000000000000000000000,2057,2374,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19,4
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,810.000000000000000000000000000000,1646,1723,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,54,4
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,790.000000000000000000000000000000,3231,4160,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25,4
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,823.000000000000000000000000000000,5000,1363,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45,4
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,824.000000000000000000000000000000,5000,1118,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34,4
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,858.000000000000000000000000000000,660,4415,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43,4
360,360_0,COMPLETED,Sobol,SOBOL,0.440000000000000002220446049250,1271.000000000000000000000000000000,1599,3164,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.351060693800449352686143811297,51,4
361,361_0,COMPLETED,Sobol,SOBOL,0.440000000000000002220446049250,1221.000000000000000000000000000000,3285,69,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.600727936172857912566769300611,7,4
362,362_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1127.000000000000000000000000000000,4845,4891,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.949932395685464170398404348816,85,4
363,363_0,COMPLETED,Sobol,SOBOL,0.469999999999999973354647408996,1293.000000000000000000000000000000,39,1721,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.201599744945764547399136290551,28,4
364,364_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1274.000000000000000000000000000000,798,4128,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.486048082409426596139923049122,90,4
365,365_0,COMPLETED,Sobol,SOBOL,0.460000000000000019984014443253,1286.000000000000000000000000000000,4086,2210,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.735715866656973971338118190033,45,4
366,366_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1212.000000000000000000000000000000,2521,2672,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.838334220226854109903058542841,71,4
367,367_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1264.000000000000000000000000000000,2363,835,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.090001874350011348835387536838,15,4
368,368_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1269.000000000000000000000000000000,2084,4481,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.185712112728506323344745965187,99,4
369,369_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1091.000000000000000000000000000000,2877,1390,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.934623010233044615446829084249,42,4
370,370_0,COMPLETED,Sobol,SOBOL,0.440000000000000002220446049250,1252.000000000000000000000000000000,3817,3731,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.522474810471758255303598161845,68,4
371,371_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1349.000000000000000000000000000000,1145,557,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.273385823229327806771493669658,24,4
372,372_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1284.000000000000000000000000000000,385,2965,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.042935835968703033038718075431,61,4
373,373_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1275.000000000000000000000000000000,4577,1050,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.791847276277840128599905256124,4,4
374,374_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1186.000000000000000000000000000000,3642,3992,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.626265314323827593234739197214,81,4
375,375_0,COMPLETED,Sobol,SOBOL,0.460000000000000019984014443253,1317.000000000000000000000000000000,1321,2152,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.377176617072895181692615551583,38,4
376,376_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1182.000000000000000000000000000000,1465,3798,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.759495209459215447900248818769,12,4
377,377_0,COMPLETED,Sobol,SOBOL,0.479999999999999982236431605997,1303.000000000000000000000000000000,3498,1877,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.010949675217270849608697247390,57,4
378,378_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1196.000000000000000000000000000000,4437,3007,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.407199561407789567546444686741,29,4
379,379_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1141.000000000000000000000000000000,524,1164,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.656654142418876318743059528060,85,4
380,380_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1298.000000000000000000000000000000,944,886,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,4
381,381_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1401.000000000000000000000000000000,2732,2017,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,38,4
382,382_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1048.000000000000000000000000000000,1986,1272,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23,4
383,383_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1011.000000000000000000000000000000,3649,3357,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,59,4
384,384_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1476.000000000000000000000000000000,2317,4347,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.086882085462043193158088172368,74,4
385,385_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1242.000000000000000000000000000000,1506,3675,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,4
386,386_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1176.000000000000000000000000000000,1,3660,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,50,4
387,387_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1352.000000000000000000000000000000,4857,3735,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,56,4
388,388_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1102.000000000000000000000000000000,283,3674,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55,4
389,389_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1249.000000000000000000000000000000,4329,1277,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37,4
390,390_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1154.000000000000000000000000000000,878,4523,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,8,4
391,391_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1220.000000000000000000000000000000,4342,4625,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18,4
392,392_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1149.000000000000000000000000000000,4712,2364,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,11,4
393,393_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1227.000000000000000000000000000000,9,4231,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27,4
394,394_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1414.000000000000000000000000000000,4953,4417,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
395,395_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1221.000000000000000000000000000000,4589,2953,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,97,4
396,396_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1334.000000000000000000000000000000,1036,4199,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,7,4
397,397_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1185.000000000000000000000000000000,174,2341,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30,4
398,398_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1073.000000000000000000000000000000,3381,3009,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,63,4
399,399_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1308.000000000000000000000000000000,3209,2947,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,54,4
400,400_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1245.000000000000000000000000000000,1593,3502,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,4
401,401_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1227.000000000000000000000000000000,4683,790,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21,4
402,402_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.440000000000000002220446049250,1102.000000000000000000000000000000,4240,4916,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28,4
403,403_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1087.000000000000000000000000000000,4729,4499,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27,4
404,404_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1399.000000000000000000000000000000,4966,2476,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,66,4
405,405_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,1522.000000000000000000000000000000,1,3513,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
406,406_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1260.000000000000000000000000000000,157,2930,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33,4
407,407_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1278.000000000000000000000000000000,524,4880,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44,4
408,408_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1600.000000000000000000000000000000,5000,1274,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,50,4
409,409_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1121.000000000000000000000000000000,1650,4346,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.473739341004155767311800673269,22,4
410,410_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.440000000000000002220446049250,1342.000000000000000000000000000000,1,4215,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,47,4
411,411_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,979.000000000000000000000000000000,1582,4383,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,70,4
412,412_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4963,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40,4
413,413_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1290.000000000000000000000000000000,1,978,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,55,4
414,414_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1157.000000000000000000000000000000,30,4938,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,47,4
415,415_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1376.000000000000000000000000000000,482,1994,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,4
416,416_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1259.000000000000000000000000000000,1,544,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,81,4
417,417_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1291.000000000000000000000000000000,1045,732,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74,4
418,418_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1248.000000000000000000000000000000,1,4718,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62,4
419,419_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,1367.000000000000000000000000000000,1,3291,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49,4
420,420_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1254.000000000000000000000000000000,5000,3886,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,28,4
421,421_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,1167.000000000000000000000000000000,5000,4111,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23,4
422,422_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1234.000000000000000000000000000000,4677,1358,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24,4
423,423_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1355.000000000000000000000000000000,1,1293,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,78,4
424,424_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1433.000000000000000000000000000000,3809,3408,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,79,4
425,425_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1192.000000000000000000000000000000,1,1718,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
426,426_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1056.000000000000000000000000000000,5000,4444,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34,4
427,427_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1208.000000000000000000000000000000,5000,890,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37,4
428,428_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1358.000000000000000000000000000000,4819,2876,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41,4
429,429_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1149.000000000000000000000000000000,1,1350,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
430,430_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,880.000000000000000000000000000000,4592,1793,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,60,4
431,431_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1243.000000000000000000000000000000,1,1604,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
432,432_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1178.000000000000000000000000000000,1,2371,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,4
433,433_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1191.000000000000000000000000000000,3208,2901,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,4
434,434_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1191.000000000000000000000000000000,4617,3270,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,4
435,435_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1458.000000000000000000000000000000,1,1926,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,63,4
436,436_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1309.000000000000000000000000000000,443,3634,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25,4
437,437_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1128.000000000000000000000000000000,1,4318,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28,4
438,438_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1047.000000000000000000000000000000,818,3362,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,55,4
439,439_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1148.000000000000000000000000000000,1,2818,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,22,4
440,440_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1119.000000000000000000000000000000,4704,2979,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,60,4
441,441_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1058.000000000000000000000000000000,474,3080,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25,4
442,442_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1282.000000000000000000000000000000,3711,3784,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,60,4
443,443_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1203.000000000000000000000000000000,4355,3344,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43,4
444,444_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1087.000000000000000000000000000000,3207,3748,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,38,4
445,445_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1118.000000000000000000000000000000,3247,1996,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25,4
446,446_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1073.000000000000000000000000000000,145,2768,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,4
447,447_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,923.000000000000000000000000000000,3646,1472,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,64,4
448,448_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,865.000000000000000000000000000000,4626,1597,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15,4
449,449_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1205.000000000000000000000000000000,201,3745,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74,4
450,450_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1300.000000000000000000000000000000,2015,4418,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,4
451,451_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1646.000000000000000000000000000000,4319,1462,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,7,4
452,452_0,FAILED,BoTorch,BOTORCH_MODULAR,,,214,719,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,91,4
453,453_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1329.000000000000000000000000000000,4762,4167,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86,4
454,454_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,1248.000000000000000000000000000000,764,4360,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17,4
455,455_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1131.000000000000000000000000000000,984,2722,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,26,4
456,456_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1181.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
457,457_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1188.000000000000000000000000000000,3161,894,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,8,4
458,458_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1066.000000000000000000000000000000,306,3536,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37,4
459,459_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1256.000000000000000000000000000000,2482,4348,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31,4
460,460_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,1219.000000000000000000000000000000,743,3540,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34,4
461,461_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1309.000000000000000000000000000000,3976,3618,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,37,4
462,462_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1306.000000000000000000000000000000,1192,3643,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,51,4
463,463_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1241.000000000000000000000000000000,4378,4571,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19,4
464,464_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1355.000000000000000000000000000000,1,767,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,4
465,465_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1102.000000000000000000000000000000,79,3509,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,65,4
466,466_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1363.000000000000000000000000000000,1,663,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,4,4
467,467_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,948.000000000000000000000000000000,3676,3404,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
468,468_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.440000000000000002220446049250,1118.000000000000000000000000000000,5000,4819,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
469,469_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1404.000000000000000000000000000000,130,1374,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.714708120814922409635983058251,46,4
470,470_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,795.000000000000000000000000000000,1395,2874,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29,4
471,471_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,1348.000000000000000000000000000000,5000,2329,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
472,472_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,1061.000000000000000000000000000000,3238,2415,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
473,473_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1486.000000000000000000000000000000,571,2264,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
474,474_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1073.000000000000000000000000000000,2129,2225,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62,4
475,475_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1571.000000000000000000000000000000,4863,2749,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.408187472074854285075673487881,1,4
476,476_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1417.000000000000000000000000000000,1,639,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
477,477_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,836.000000000000000000000000000000,462,2714,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15,4
478,478_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,812.000000000000000000000000000000,1,4586,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.617950224435142581036473075073,1,4
479,479_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,863.000000000000000000000000000000,5000,1684,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,4
480,480_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1158.000000000000000000000000000000,5000,953,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,68,4
481,481_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1036.000000000000000000000000000000,1000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27,4
482,482_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1255.000000000000000000000000000000,4811,1252,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,80,4
483,483_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1213.000000000000000000000000000000,4807,2532,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,47,4
484,484_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1169.000000000000000000000000000000,3053,1250,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,77,4
485,485_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,258,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
486,486_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1117.000000000000000000000000000000,5000,2388,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49,4
487,487_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1383,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1057.000000000000000000000000000000,3963,4342,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35,4
489,489_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,1208.000000000000000000000000000000,3498,1613,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,54,4
490,490_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1163.000000000000000000000000000000,911,1219,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
491,491_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1307.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
492,492_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1358.000000000000000000000000000000,1163,1751,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,27,4
493,493_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1267.000000000000000000000000000000,5000,965,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,4
494,494_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1185.000000000000000000000000000000,182,1796,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,28,4
495,495_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1392.000000000000000000000000000000,49,874,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16,4
496,496_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1506.000000000000000000000000000000,5000,1489,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,89,4
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1313.000000000000000000000000000000,4274,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,80,4
498,498_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1071.000000000000000000000000000000,1,4514,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,56,4
499,499_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,1165.000000000000000000000000000000,3889,2979,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73,4
500,500_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1120.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28,4
501,501_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1121.000000000000000000000000000000,2071,4775,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,4
502,502_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,858.000000000000000000000000000000,2412,683,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,35,4
503,503_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,1400.000000000000000000000000000000,2479,2141,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38,4
504,504_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1488.000000000000000000000000000000,1,772,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42,4
505,505_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1064.000000000000000000000000000000,133,2485,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,4
506,506_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1114.000000000000000000000000000000,5000,4451,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1279.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,9,4
508,508_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1087.000000000000000000000000000000,2829,4954,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58,4
509,509_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3772,4284,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1510.000000000000000000000000000000,5000,1912,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64,4
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,1105.000000000000000000000000000000,34,3381,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1240.000000000000000000000000000000,5000,526,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,3,4
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1168.000000000000000000000000000000,1892,3447,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1321.000000000000000000000000000000,1,3030,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1249.000000000000000000000000000000,1,3401,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1037.000000000000000000000000000000,1,4421,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.936995450467001056438220985001,100,4
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1076.000000000000000000000000000000,1,4784,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,88,4
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1036.000000000000000000000000000000,131,1251,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.556374907800425755333151300874,31,4
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1356.000000000000000000000000000000,830,1028,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.344365390831660289627791371458,39,4
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1257.000000000000000000000000000000,1,3861,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75,4
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1135.000000000000000000000000000000,4910,1227,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,4
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1360.000000000000000000000000000000,1,1847,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,52,4
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1317.000000000000000000000000000000,1,857,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,51,4
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1148.000000000000000000000000000000,1732,4779,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1268.000000000000000000000000000000,1098,954,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,51,4
526,526_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1117.000000000000000000000000000000,1026,529,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,29,4
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.440000000000000002220446049250,1415.000000000000000000000000000000,5000,3382,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,77,4
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1418.000000000000000000000000000000,5000,774,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,4
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1152.000000000000000000000000000000,5000,950,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,48,4
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,1324.000000000000000000000000000000,80,3896,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,4
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1040.000000000000000000000000000000,3736,4451,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11,4
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1317.000000000000000000000000000000,4655,1779,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.519395024682642536539844968502,37,4
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1293.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.638913036821212143578918585263,100,4
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1120.000000000000000000000000000000,2451,3844,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37,4
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1778.000000000000000000000000000000,2622,333,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1009.000000000000000000000000000000,5000,4089,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43,4
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1244.000000000000000000000000000000,4775,3963,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,47,4
538,538_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,354,1375,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,4
539,539_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3663,2482,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,4

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start_time,end_time,run_time,program_string,recent_samples_size,batch_size,divergence,detect_batch,statistic,significance,subsets,feature_id,ACCURACY,RUNTIME,exit_code,signal,hostname,OO_Info_runtime,OO_Info_peak_memory,OO_Info_mean_memory,OO_Info_lpd,OO_Info_portion_req_label,OO_Info_SLURM_JOB_ID
1744998692,1744999801,1109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2877 feature_id 4 batch_size 1390 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.9346230102330446 subsets 42,2877,1390,str\(\'H\'\),2,str\(\'tstat\'\),0.9346230102330446,42,4,0.5,1091,0,None,i7171,1091,532.625,520.9114935247748,-1,0.2479578723913535,4547230
1744998686,1744999832,1146,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4845 feature_id 4 batch_size 4891 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.9499323956854642 subsets 85,4845,4891,str\(\'H\'\),3,str\(\'stdev\'\),0.9499323956854642,85,4,0.5,1127,0,None,i7175,1127,529,519.749660326087,-1,0.12416691952741836,4546907
1744998704,1744999903,1199,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3642 feature_id 4 batch_size 3992 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6262653143238276 subsets 81,3642,3992,str\(\'H\'\),1,str\(\'tstat\'\),0.6262653143238276,81,4,0.5,1186,0,None,i7177,1186,535.0859375,523.012364411157,-1,0.07479802369677986,4547522
1744998671,1744999904,1233,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3285 feature_id 4 batch_size 69 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6007279361728579 subsets 7,3285,69,str\(\'KL\'\),1,str\(\'stdev\'\),0.6007279361728579,7,4,0.44,1221,0,None,i7177,1221,531.20703125,521.164625,-1,0.19201862666993874,4546869
1744998641,1744999925,1284,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1599 feature_id 4 batch_size 3164 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.35106069380044935 subsets 51,1599,3164,str\(\'H\'\),2,str\(\'tstat\'\),0.35106069380044935,51,4,0.44,1271,0,None,i7177,1271,532.65625,522.0606225775193,-1,0.17594756292606029,4546836
1744998694,1744999931,1237,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2521 feature_id 4 batch_size 2672 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8383342202268541 subsets 71,2521,2672,str\(\'KL\'\),1,str\(\'stdev\'\),0.8383342202268541,71,4,0.5,1212,0,None,i7173,1212,530.66796875,520.73046875,-1,0.07833767125523301,4547071
1744998690,1744999987,1297,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 798 feature_id 4 batch_size 4128 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.4860480824094266 subsets 90,798,4128,str\(\'KL\'\),2,str\(\'tstat\'\),0.4860480824094266,90,4,0.5,1274,0,None,i7174,1274,531.99609375,522.7711838942307,-1,0.194622588705768,4546987
1744998707,1744999996,1289,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2363 feature_id 4 batch_size 835 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.09000187435001135 subsets 15,2363,835,str\(\'H\'\),3,str\(\'tstat\'\),0.09000187435001135,15,4,0.5,1264,0,None,i7172,1264,532.87109375,520.8758175872093,-1,0.1897724978572318,4547119
1744998688,1745000000,1312,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 39 feature_id 4 batch_size 1721 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.20159974494576455 subsets 28,39,1721,str\(\'KL\'\),2,str\(\'tstat\'\),0.20159974494576455,28,4,0.47,1293,0,None,i7175,1293,538.7890625,522.7530184659091,-1,0.16818524155555906,4546944
1744998697,1745000002,1305,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4086 feature_id 4 batch_size 2210 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.735715866656974 subsets 45,4086,2210,str\(\'H\'\),3,str\(\'stdev\'\),0.735715866656974,45,4,0.46,1286,0,None,i7173,1286,533.20703125,522.5925274332061,-1,0.17098625364331038,4547031
1744998707,1745000007,1300,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2084 feature_id 4 batch_size 4481 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.18571211272850632 subsets 99,2084,4481,str\(\'KL\'\),3,str\(\'stdev\'\),0.18571211272850632,99,4,0.5,1269,0,None,i7172,1269,535.30859375,523.5758842054264,-1,0.22209958643667016,4547173
1744998718,1745000015,1297,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3817 feature_id 4 batch_size 3731 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5224748104717583 subsets 68,3817,3731,str\(\'KL\'\),2,str\(\'tstat\'\),0.5224748104717583,68,4,0.44,1252,0,None,i7170,1252,532.19921875,521.0405883789062,-1,0.1894364247625426,4547291
1744998704,1745000026,1322,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4577 feature_id 4 batch_size 1050 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7918472762778401 subsets 4,4577,1050,str\(\'KL\'\),2,str\(\'tstat\'\),0.7918472762778401,4,4,0.5,1275,0,None,i7169,1275,544.36328125,526.734765625,-1,0.47219478699856504,4547462
1744998852,1745000051,1199,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1465 feature_id 4 batch_size 3798 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7594952094592154 subsets 12,1465,3798,str\(\'H\'\),1,str\(\'tstat\'\),0.7594952094592154,12,4,0.5,1182,0,None,i7173,1182,533.23046875,523.2624935433885,-1,0.09859393303441365,4547657
1744998719,1745000053,1334,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 385 feature_id 4 batch_size 2965 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.04293583596870303 subsets 61,385,2965,str\(\'H\'\),1,str\(\'stdev\'\),0.04293583596870303,61,4,0.5,1284,0,None,i7170,1284,537.3046875,522.349296278626,-1,0.16963349899238517,4547399
1744998718,1745000112,1394,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1145 feature_id 4 batch_size 557 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.2733858232293278 subsets 24,1145,557,str\(\'H\'\),1,str\(\'stdev\'\),0.2733858232293278,24,4,0.5,1349,0,None,i7170,1349,534.94140625,519.9248973540145,-1,0.3144568248829486,4547347
1744998780,1745000112,1332,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1321 feature_id 4 batch_size 2152 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.3771766170728952 subsets 38,1321,2152,str\(\'KL\'\),3,str\(\'stdev\'\),0.3771766170728952,38,4,0.46,1317,0,None,i7175,1317,535.12890625,521.2939015858209,-1,0.19771736252736638,4547589
1744998998,1745000186,1188,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 524 feature_id 4 batch_size 1164 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6566541424188763 subsets 85,524,1164,str\(\'KL\'\),3,str\(\'tstat\'\),0.6566541424188763,85,4,0.5,1141,0,None,i7168,1141,517.62890625,504.8154714209402,-1,0.22655195049329002,4547880
1744998987,1745000203,1216,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4437 feature_id 4 batch_size 3007 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.40719956140778957 subsets 29,4437,3007,str\(\'H\'\),2,str\(\'stdev\'\),0.40719956140778957,29,4,0.5,1196,0,None,i7170,1196,532.8671875,521.7523693647541,-1,0.16358176549593145,4547817
1744998941,1745000257,1316,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3498 feature_id 4 batch_size 1877 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.01094967521727085 subsets 57,3498,1877,str\(\'KL\'\),3,str\(\'stdev\'\),0.01094967521727085,57,4,0.48,1303,0,None,i7172,1303,534.015625,522.391212406015,-1,0.2267622984014768,4547735
1745000641,1745001952,1311,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 944 feature_id 4 batch_size 886 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 24,944,886,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,24,4,0.5,1298,0,None,i7172,1298,535.8515625,523.3081498579545,-1,0.25170424116992124,4550055
1745001313,1745002372,1059,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1986 feature_id 4 batch_size 1272 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 23,1986,1272,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,23,4,0.5,1048,0,None,i7169,1048,531.6796875,520.759710864486,-1,0.10456467049725521,4550920
1745001020,1745002435,1415,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2732 feature_id 4 batch_size 2017 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 38,2732,2017,str\(\'H\'\),1,str\(\'tstat\'\),0.999,38,4,0.5,1401,0,None,i7170,1401,539.26953125,524.5612070862676,-1,0.2511493578948768,4550485
1745001742,1745002766,1024,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3649 feature_id 4 batch_size 3357 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 59,3649,3357,str\(\'H\'\),1,str\(\'stdev\'\),0.999,59,4,0.5,1011,0,None,i7168,1011,529.3046875,520.464312803398,-1,0.02599126451733013,4551629
1745002153,1745003641,1488,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2317 feature_id 4 batch_size 4347 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.0868820854620432 subsets 74,2317,4347,str\(\'KL\'\),2,str\(\'tstat\'\),0.0868820854620432,74,4,0.5,1476,0,None,i7173,1476,534.87890625,524.2311458333334,-1,0.1734173435476988,4552045
1745002501,1745003756,1255,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1506 feature_id 4 batch_size 3675 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 34,1506,3675,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,34,4,0.5,1242,0,None,i7173,1242,531.37890625,521.6811638779527,-1,0.17973382527342205,4552276
1745003022,1745004209,1187,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 3660 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 50,1,3660,str\(\'H\'\),1,str\(\'stdev\'\),0.999,50,4,0.5,1176,0,None,i7180,1176,529.07421875,521.9344401041667,-1,0.024130773536298916,4552618
1745003542,1745004660,1118,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 283 feature_id 4 batch_size 3674 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 55,283,3674,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,55,4,0.5,1102,0,None,i7169,1102,529.80859375,522.3851631637168,-1,0.16635980855922564,4553122
1745003293,1745004661,1368,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4857 feature_id 4 batch_size 3735 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 56,4857,3735,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,56,4,0.5,1352,0,None,i7172,1352,541.26171875,523.4450577445652,-1,0.21431429604171176,4552917
1745003802,1745005067,1265,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4329 feature_id 4 batch_size 1277 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 37,4329,1277,str\(\'H\'\),2,str\(\'tstat\'\),0.001,37,4,0.5,1249,0,None,i7173,1249,530.4375,521.9803457185039,-1,0.12967585870906828,4553312
1745004322,1745005488,1166,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 878 feature_id 4 batch_size 4523 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 8,878,4523,str\(\'H\'\),3,str\(\'tstat\'\),0.001,8,4,0.5,1154,0,None,i7168,1154,528.25,520.7933990995763,-1,0.1257602444871319,4553806
1745004689,1745005929,1240,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4342 feature_id 4 batch_size 4625 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 18,4342,4625,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,18,4,0.5,1220,0,None,i7167,1220,531.4296875,521.009041078629,-1,0.1733254674498701,4554247
1745005082,1745006248,1166,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4712 feature_id 4 batch_size 2364 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 11,4712,2364,str\(\'H\'\),3,str\(\'tstat\'\),0.001,11,4,0.5,1149,0,None,i7173,1149,527.3984375,519.6284388354701,-1,0.07430358522293856,4554644
1745005454,1745006693,1239,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 9 feature_id 4 batch_size 4231 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 27,9,4231,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,27,4,0.5,1227,0,None,i7173,1227,535.33203125,522.886125,-1,0.1074116206339209,4554951
1745005783,1745007211,1428,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4953 feature_id 4 batch_size 4417 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,4953,4417,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,4,0.5,1414,0,None,i7173,1414,528.0234375,518.1041395399305,-1,0.10971698535180688,4555241
1745006064,1745007296,1232,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4589 feature_id 4 batch_size 2953 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 97,4589,2953,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,97,4,0.5,1221,0,None,i7166,1221,522.33984375,513.0514427923387,-1,0.19392626459590837,4555512
1745006414,1745007764,1350,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1036 feature_id 4 batch_size 4199 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 7,1036,4199,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,7,4,0.5,1334,0,None,i7170,1334,539.19921875,523.1023667279412,-1,0.2716957547198323,4555788
1745006683,1745007882,1199,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 174 feature_id 4 batch_size 2341 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 30,174,2341,str\(\'H\'\),1,str\(\'tstat\'\),0.001,30,4,0.5,1185,0,None,i7180,1185,533.30078125,520.1083096590909,-1,0.07358066540054957,4556003
1745006882,1745007971,1089,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3381 feature_id 4 batch_size 3009 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 63,3381,3009,str\(\'H\'\),1,str\(\'stdev\'\),0.999,63,4,0.5,1073,0,None,i7169,1073,527.8984375,519.5358309659091,-1,0.04487180262112836,4556199
1745007144,1745008462,1318,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3209 feature_id 4 batch_size 2947 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 54,3209,2947,str\(\'H\'\),1,str\(\'tstat\'\),0.999,54,4,0.5,1308,0,None,i7168,1308,543.3984375,524.2514978853384,-1,0.20421517865669891,4556451
1745008784,1745010044,1260,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1593 feature_id 4 batch_size 3502 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 15,1593,3502,str\(\'H\'\),3,str\(\'tstat\'\),0.001,15,4,0.5,1245,0,None,i7180,1245,534.0625,522.1460999015748,-1,0.08467107752529313,4557996
1745009084,1745010323,1239,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4683 feature_id 4 batch_size 790 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 21,4683,790,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,21,4,0.5,1227,0,None,i7173,1227,528.25390625,520.144,-1,0.1499393738643933,4558254
1745009404,1745010520,1116,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4240 feature_id 4 batch_size 4916 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 28,4240,4916,str\(\'H\'\),2,str\(\'stdev\'\),0.999,28,4,0.44,1102,0,None,i7169,1102,528.140625,519.8356609513274,-1,0.07131519425145763,4558527
1745009685,1745010788,1103,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4729 feature_id 4 batch_size 4499 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 27,4729,4499,str\(\'H\'\),1,str\(\'tstat\'\),0.001,27,4,0.5,1087,0,None,i7170,1087,535.0078125,526.917018581081,-1,0.03021635612142635,4558763
1745009895,1745011309,1414,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4966 feature_id 4 batch_size 2476 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 66,4966,2476,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,66,4,0.5,1399,0,None,i7169,1399,530.59765625,521.4658340669014,-1,0.2574174837796376,4558947
1745010585,1745011858,1273,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 157 feature_id 4 batch_size 2930 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 33,157,2930,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,33,4,0.5,1260,0,None,i7170,1260,535.2890625,521.9717102050781,-1,0.19948114182647264,4559510
1745010345,1745011893,1548,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 3513 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3513,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,4,0.45,1522,0,None,i7185,1522,448.90625,402.15328226461037,-1,0.22508314182405487,4559287
1745010807,1745012098,1291,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 524 feature_id 4 batch_size 4880 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 44,524,4880,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,44,4,0.5,1278,0,None,i7173,1278,531.68359375,520.4622896634615,-1,0.13568648974070388,4559723
1745011345,1745012477,1132,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1650 feature_id 4 batch_size 4346 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.47373934100415577 subsets 22,1650,4346,str\(\'H\'\),1,str\(\'tstat\'\),0.47373934100415577,22,4,0.5,1121,0,None,i7168,1121,526.6796875,519.7124109100877,-1,0.0763913486564934,4560253
1745011144,1745012757,1613,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 1274 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 50,5000,1274,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,50,4,0.5,1600,0,None,i7180,1600,529.546875,521.8752170138889,-1,0.3111069740002732,4560042
1745012105,1745013098,993,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1582 feature_id 4 batch_size 4383 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 70,1582,4383,str\(\'H\'\),1,str\(\'tstat\'\),0.001,70,4,0.5,979,0,None,i7168,979,530.9375,520.92421875,-1,0.02407637321521613,4560931
1745011748,1745013109,1361,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 4215 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 47,1,4215,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,47,4,0.44,1342,0,None,i7180,1342,533.53125,520.8371350364963,-1,0.1375784120183607,4560604
1745012956,1745014267,1311,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 978 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 55,1,978,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,55,4,0.5,1290,0,None,i7185,1290,482.5546875,405.9126908396947,-1,0.16428776077398358,4561615
1745013387,1745014559,1172,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 30 feature_id 4 batch_size 4938 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 47,30,4938,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,47,4,0.5,1157,0,None,i7170,1157,531.55078125,520.7286480402543,-1,0.06921775964971029,4561982
1745013785,1745015173,1388,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 482 feature_id 4 batch_size 1994 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 18,482,1994,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,18,4,0.5,1376,0,None,i7180,1376,532.16015625,522.0243582589286,-1,0.24345836138979524,4562306
1745014127,1745015402,1275,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 544 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 81,1,544,str\(\'H\'\),3,str\(\'tstat\'\),0.001,81,4,0.5,1259,0,None,i7173,1259,531.59765625,519.2740783691406,-1,0.10653758880852417,4562623
1745014587,1745015890,1303,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1045 feature_id 4 batch_size 732 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 74,1045,732,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,74,4,0.5,1291,0,None,i7173,1291,534.62109375,520.425572519084,-1,0.25332295294614005,4562975
1745014967,1745016227,1260,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 4718 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 62,1,4718,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,62,4,0.5,1248,0,None,i7170,1248,532.375,521.7743602362204,-1,0.14258928603809715,4563316
1745015366,1745016744,1378,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 3291 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 49,1,3291,str\(\'H\'\),3,str\(\'stdev\'\),0.001,49,4,0.47,1367,0,None,i7168,1367,532.734375,522.9704080485611,-1,0.24666556254163136,4563657
1745017367,1745018644,1277,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 3886 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 28,5000,3886,str\(\'H\'\),1,str\(\'tstat\'\),0.999,28,4,0.5,1254,0,None,i7185,1254,483.875,415.2877197265625,-1,0.1573075951310504,4565222
1745017847,1745019031,1184,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 4111 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 23,5000,4111,str\(\'H\'\),2,str\(\'tstat\'\),0.001,23,4,0.47,1167,0,None,i7169,1167,526.1484375,518.9617581407563,-1,0.11927451731804,4565633
1745018247,1745019494,1247,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4677 feature_id 4 batch_size 1358 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 24,4677,1358,str\(\'H\'\),2,str\(\'stdev\'\),0.999,24,4,0.5,1234,0,None,i7168,1234,528.8828125,520.7994791666666,-1,0.14040964650671361,4565966
1745018667,1745020039,1372,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 1293 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 78,1,1293,str\(\'H\'\),3,str\(\'stdev\'\),0.001,78,4,0.5,1355,0,None,i7173,1355,533.125,521.7447350543479,-1,0.2383012109511473,4566322
1745019049,1745020499,1450,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3809 feature_id 4 batch_size 3408 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 79,3809,3408,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,79,4,0.5,1433,0,None,i7180,1433,531.47265625,522.2061750856165,-1,0.15826020519801112,4566621
1745019369,1745020576,1207,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 1718 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,1718,str\(\'H\'\),3,str\(\'stdev\'\),0.999,100,4,0.5,1192,0,None,i7170,1192,531.91796875,521.4427510245902,-1,0.15127278617893353,4566868
1745019808,1745020879,1071,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 4444 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 34,5000,4444,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,34,4,0.5,1056,0,None,i7169,1056,530.42578125,521.8392288773148,-1,0.08595734289489496,4567194
1745020187,1745021409,1222,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 890 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 37,5000,890,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,37,4,0.5,1208,0,None,i7169,1208,530.4375,520.825012703252,-1,0.12911009536980733,4567477
1745020750,1745022126,1376,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4819 feature_id 4 batch_size 2876 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 41,4819,2876,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,41,4,0.5,1358,0,None,i7180,1358,539.93359375,522.0503849637681,-1,0.19923694482961216,4567907
1745021229,1745022388,1159,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 1350 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,1350,str\(\'H\'\),3,str\(\'stdev\'\),0.999,1,4,0.5,1149,0,None,i7168,1149,532.375,521.7778445512821,-1,0.14120026450645007,4568309
1745021729,1745022618,889,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4592 feature_id 4 batch_size 1793 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 60,4592,1793,str\(\'H\'\),1,str\(\'tstat\'\),0.001,60,4,0.5,880,0,None,i7168,880,537.67578125,523.4049913194444,-1,0.10404242741486047,4568706
1745022200,1745023460,1260,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 1604 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,1604,str\(\'H\'\),3,str\(\'stdev\'\),0.999,1,4,0.5,1243,0,None,i7185,1243,536.01171875,521.0090428149606,-1,0.1507698854329238,4569048
1745022770,1745023962,1192,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 2371 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 14,1,2371,str\(\'H\'\),3,str\(\'tstat\'\),0.001,14,4,0.5,1178,0,None,i7185,1178,529.453125,520.7881184895833,-1,0.09458765161067262,4569440
1745023129,1745024331,1202,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3208 feature_id 4 batch_size 2901 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 16,3208,2901,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,16,4,0.49,1191,0,None,i7170,1191,532.25,522.1171552169421,-1,0.0981962062424973,4569707
1745023529,1745024735,1206,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4617 feature_id 4 batch_size 3270 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 34,4617,3270,str\(\'H\'\),1,str\(\'stdev\'\),0.001,34,4,0.5,1191,0,None,i7169,1191,537.41796875,522.0740266393443,-1,0.15966010679387477,4570031
1745024060,1745025529,1469,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 1926 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 63,1,1926,str\(\'H\'\),1,str\(\'tstat\'\),0.999,63,4,0.5,1458,0,None,i7169,1458,537.26953125,524.6340002111486,-1,0.26767013095970627,4570510
1745024360,1745025685,1325,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 443 feature_id 4 batch_size 3634 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 25,443,3634,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,25,4,0.49,1309,0,None,i7185,1309,532.0625,522.9397615131579,-1,0.19966731181417818,4570750
1745025050,1745026191,1141,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 4318 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 28,1,4318,str\(\'H\'\),1,str\(\'stdev\'\),0.999,28,4,0.5,1128,0,None,i7173,1128,524.0234375,520.3456182065217,-1,0.023683482007396027,4571277
1745025291,1745026350,1059,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 818 feature_id 4 batch_size 3362 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 55,818,3362,str\(\'H\'\),1,str\(\'stdev\'\),0.999,55,4,0.5,1047,0,None,i7170,1047,530.046875,520.5994085864486,-1,0.026033575878172295,4571447
1745025561,1745026723,1162,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 2818 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 22,1,2818,str\(\'H\'\),1,str\(\'tstat\'\),0.001,22,4,0.5,1148,0,None,i7185,1148,532.5859375,522.5983239850427,-1,0.05209012078080177,4571634
1745026911,1745028040,1129,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4704 feature_id 4 batch_size 2979 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 60,4704,2979,str\(\'H\'\),1,str\(\'stdev\'\),0.999,60,4,0.5,1119,0,None,i7170,1119,529.3515625,521.2789199561404,-1,0.04079903191606393,4572593
1745027071,1745028144,1073,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 474 feature_id 4 batch_size 3080 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 25,474,3080,str\(\'H\'\),1,str\(\'stdev\'\),0.001,25,4,0.5,1058,0,None,i7169,1058,533.92578125,523.9410083912037,-1,0.18375340455342776,4572709
1745027211,1745028507,1296,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3711 feature_id 4 batch_size 3784 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 60,3711,3784,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,60,4,0.5,1282,0,None,i7173,1282,542.41015625,524.5658695133587,-1,0.19885976927010485,4572822
1745027331,1745028546,1215,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4355 feature_id 4 batch_size 3344 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 43,4355,3344,str\(\'H\'\),1,str\(\'stdev\'\),0.001,43,4,0.5,1203,0,None,i7170,1203,533.3359375,521.5958777947154,-1,0.1148173176773239,4572919
1745027451,1745028553,1102,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3207 feature_id 4 batch_size 3748 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 38,3207,3748,str\(\'H\'\),1,str\(\'tstat\'\),0.001,38,4,0.5,1087,0,None,i7173,1087,531.9765625,522.7471846846847,-1,0.02930001293518746,4572998
1745027611,1745028742,1131,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3247 feature_id 4 batch_size 1996 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 25,3247,1996,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,25,4,0.49,1118,0,None,i7169,1118,532.14453125,521.275390625,-1,0.12788306590538454,4573130
1745027915,1745028848,933,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3646 feature_id 4 batch_size 1472 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 64,3646,1472,str\(\'H\'\),1,str\(\'tstat\'\),0.001,64,4,0.5,923,0,None,i7168,923,529.9140625,517.9369243421053,-1,0.09545563895594904,4573368
1745027791,1745028876,1085,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 145 feature_id 4 batch_size 2768 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 51,145,2768,str\(\'H\'\),1,str\(\'stdev\'\),0.999,51,4,0.5,1073,0,None,i7169,1073,532.54296875,521.986221590909,-1,0.06116167654536201,4573269
1745028080,1745028956,876,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4626 feature_id 4 batch_size 1597 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 15,4626,1597,str\(\'H\'\),1,str\(\'stdev\'\),0.999,15,4,0.5,865,0,None,i7168,865,523.69140625,515.4331987359551,-1,0.11921165472478877,4573492
1745028271,1745029490,1219,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 201 feature_id 4 batch_size 3745 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 74,201,3745,str\(\'H\'\),1,str\(\'tstat\'\),0.999,74,4,0.5,1205,0,None,i7170,1205,535,523.2665459857724,-1,0.1017116758804692,4573627
1745028571,1745029886,1315,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2015 feature_id 4 batch_size 4418 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 32,2015,4418,str\(\'H\'\),2,str\(\'stdev\'\),0.001,32,4,0.5,1300,0,None,i7170,1300,540.78515625,524.1801313920455,-1,0.25102242381235035,4573853
1745028831,1745030489,1658,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4319 feature_id 4 batch_size 1462 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 7,4319,1462,str\(\'H\'\),1,str\(\'stdev\'\),0.001,7,4,0.5,1646,0,None,i7173,1646,543.625,528.2295097305389,-1,0.5832439757688881,4574043
1745029411,1745030754,1343,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4762 feature_id 4 batch_size 4167 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 86,4762,4167,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,86,4,0.5,1329,0,None,i7170,1329,539.22265625,523.7446180555555,-1,0.16381991801267165,4574476
1745029711,1745030974,1263,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 764 feature_id 4 batch_size 4360 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 17,764,4360,str\(\'H\'\),2,str\(\'tstat\'\),0.999,17,4,0.48,1248,0,None,i7170,1248,534.5,523.2770054133858,-1,0.22664382659111873,4574686
1745030032,1745031175,1143,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 984 feature_id 4 batch_size 2722 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 26,984,2722,str\(\'H\'\),1,str\(\'stdev\'\),0.999,26,4,0.5,1131,0,None,i7173,1131,526.51953125,518.3066576086957,-1,0.06010510142033194,4574916
1745030481,1745031675,1194,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,4,0.5,1181,0,None,i7169,1181,534.84375,522.6215169270833,-1,0.2599126451733013,4575242
1745030952,1745032150,1198,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3161 feature_id 4 batch_size 894 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 8,3161,894,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,8,4,0.49,1188,0,None,i7173,1188,529.53125,521.1722301136364,-1,0.13401337764340226,4575547
1745031372,1745032452,1080,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 306 feature_id 4 batch_size 3536 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 37,306,3536,str\(\'H\'\),1,str\(\'stdev\'\),0.001,37,4,0.5,1066,0,None,i7169,1066,536.80859375,525.0331493692661,-1,0.13437241976254866,4575862
1745031712,1745032984,1272,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2482 feature_id 4 batch_size 4348 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 31,2482,4348,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,31,4,0.5,1256,0,None,i7170,1256,537.37890625,523.4360961914062,-1,0.20783461335274014,4576113
1745033612,1745034843,1231,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 743 feature_id 4 batch_size 3540 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 34,743,3540,str\(\'H\'\),3,str\(\'tstat\'\),0.999,34,4,0.48,1219,0,None,i7170,1219,531.0703125,520.259041078629,-1,0.22253358010930838,4577413
1745034413,1745035733,1320,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3976 feature_id 4 batch_size 3618 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 37,3976,3618,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,37,4,0.5,1309,0,None,i7170,1309,533.53515625,522.7084703947369,-1,0.26242714890334995,4577948
1745034893,1745036213,1320,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1192 feature_id 4 batch_size 3643 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 51,1192,3643,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,51,4,0.5,1306,0,None,i7170,1306,532.84765625,522.3535009398496,-1,0.255432476508128,4578274
1745035353,1745036604,1251,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4378 feature_id 4 batch_size 4571 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 19,4378,4571,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,19,4,0.5,1241,0,None,i7170,1241,534.79296875,523.6711929563492,-1,0.2707673225733528,4578615
1745035975,1745037344,1369,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 767 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 29,1,767,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,29,4,0.5,1355,0,None,i7185,1355,530.05859375,521.3442028985507,-1,0.24849583112206103,4579025
1745036414,1745037529,1115,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 79 feature_id 4 batch_size 3509 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 65,79,3509,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,65,4,0.5,1102,0,None,i7173,1102,529.90625,521.3103913163717,-1,0.0484876106290974,4579299
1745036904,1745038282,1378,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 663 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 4,1,663,str\(\'H\'\),3,str\(\'tstat\'\),0.999,4,4,0.5,1363,0,None,i7173,1363,541.63671875,524.3746627697842,-1,0.24605990563357635,4579616
1745037373,1745038335,962,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3676 feature_id 4 batch_size 3404 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,3676,3404,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,100,4,0.5,948,0,None,i7170,948,529.21484375,519.7824178479382,-1,0.11110721577947802,4579889
1745037715,1745038846,1131,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 4819 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,4819,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,4,0.44,1118,0,None,i7185,1118,537.015625,522.0018160635965,-1,0.026711766547671,4580095
1745038414,1745039219,805,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1395 feature_id 4 batch_size 2874 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 29,1395,2874,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,29,4,0.5,795,0,None,i7169,795,521.52734375,513.6142339939024,-1,0.09380791367515272,4580568
1745038074,1745039495,1421,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 130 feature_id 4 batch_size 1374 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.7147081208149224 subsets 46,130,1374,str\(\'KL\'\),2,str\(\'stdev\'\),0.7147081208149224,46,4,0.5,1404,0,None,i7180,1404,540.859375,521.8144121503497,-1,0.19856721643228187,4580329
1745038764,1745040126,1362,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 2329 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,2329,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,1,4,0.48,1348,0,None,i7173,1348,537.03515625,524.7194057937957,-1,0.2505811767635677,4580804
1745039115,1745040190,1075,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3238 feature_id 4 batch_size 2415 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,3238,2415,str\(\'H\'\),3,str\(\'tstat\'\),0.001,100,4,0.47,1061,0,None,i7170,1061,530.47265625,519.951171875,-1,0.10510142033193867,4581044
1745039854,1745040942,1088,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2129 feature_id 4 batch_size 2225 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 62,2129,2225,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,62,4,0.5,1073,0,None,i7173,1073,531.90234375,522.1645951704545,-1,0.0968325715273555,4581515
1745039515,1745041016,1501,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 571 feature_id 4 batch_size 2264 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,571,2264,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,100,4,0.5,1486,0,None,i7185,1486,529.24609375,520.8166908112582,-1,0.0875820991512341,4581291
1745040195,1745041782,1587,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4863 feature_id 4 batch_size 2749 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.4081874720748543 subsets 1,4863,2749,str\(\'KL\'\),2,str\(\'stdev\'\),0.4081874720748543,1,4,0.5,1571,0,None,i7185,1571,544.328125,525.317167845912,-1,0.49607169236981097,4581698
1745041034,1745041880,846,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 462 feature_id 4 batch_size 2714 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 15,462,2714,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,15,4,0.47,836,0,None,i7169,836,534.78515625,522.0579578488372,-1,0.12795680856285233,4582192
1745040555,1745041985,1430,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 639 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,639,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,4,0.5,1417,0,None,i7170,1417,560.39453125,533.8117404513889,-1,0.9902260756454598,4581915
1745041454,1745042280,826,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 4586 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.6179502244351426 subsets 1,1,4586,str\(\'H\'\),3,str\(\'stdev\'\),0.6179502244351426,1,4,0.49,812,0,None,i7168,812,527.48828125,518.821521577381,-1,0.13859992915869299,4582432
1745041954,1745042826,872,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 1684 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 40,5000,1684,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,40,4,0.5,863,0,None,i7170,863,530.08984375,517.5334445224719,-1,0.1339807374507526,4582764
1745043415,1745044584,1169,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 953 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 68,5000,953,str\(\'H\'\),3,str\(\'tstat\'\),0.001,68,4,0.5,1158,0,None,i7173,1158,527.28125,487.723483845339,-1,0.13018480393519835,4583622
1745044045,1745045093,1048,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1000 feature_id 4 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 27,1000,5000,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,27,4,0.5,1036,0,None,i7170,1036,512.03515625,414.1334758254717,-1,0.12088960240618665,4584017
1745044646,1745045913,1267,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4811 feature_id 4 batch_size 1252 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 80,4811,1252,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,80,4,0.5,1255,0,None,i7180,1255,532.109375,521.8807067871094,-1,0.13470486616916566,4584471
1745045316,1745046552,1236,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4807 feature_id 4 batch_size 2532 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 47,4807,2532,str\(\'H\'\),1,str\(\'tstat\'\),0.001,47,4,0.5,1213,0,None,i7173,1213,432.00390625,401.1525642641129,-1,0.06427941939141757,4584960
1745045906,1745047090,1184,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3053 feature_id 4 batch_size 1250 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 77,3053,1250,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,77,4,0.5,1169,0,None,i7173,1169,425.234375,402.4936974789916,-1,0.16773432333858398,4585291
1745046897,1745048030,1133,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 2388 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 49,5000,2388,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,49,4,0.5,1117,0,None,i7185,1117,508.7734375,410.90539336622805,-1,0.0779447800474129,4585850
1745047948,1745049019,1071,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3963 feature_id 4 batch_size 4342 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 35,3963,4342,str\(\'H\'\),1,str\(\'stdev\'\),0.999,35,4,0.5,1057,0,None,i7185,1057,491.23828125,416.4920428240741,-1,0.018579522993806826,4586436
1745048577,1745049805,1228,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3498 feature_id 4 batch_size 1613 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 54,3498,1613,str\(\'H\'\),3,str\(\'stdev\'\),0.999,54,4,0.47,1208,0,None,i7173,1208,485.82421875,409.3238058943089,-1,0.13212991763791387,4586802
1745049182,1745050361,1179,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 911 feature_id 4 batch_size 1219 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,911,1219,str\(\'H\'\),3,str\(\'tstat\'\),0.001,1,4,0.5,1163,0,None,i7173,1163,506.6796875,404.179818802521,-1,0.12378611727983888,4587145
1745049737,1745051055,1318,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,100,4,0.5,1307,0,None,i7180,1307,528.421875,519.8721217105264,-1,0.2599126451733013,4587463
1745050217,1745051597,1380,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1163 feature_id 4 batch_size 1751 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 27,1163,1751,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,27,4,0.5,1358,0,None,i7173,1358,440.5546875,404.64373867753625,-1,0.29634877133852594,4587733
1745050838,1745052123,1285,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 965 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 51,5000,965,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,51,4,0.5,1267,0,None,i7173,1267,458.40234375,405.5525375484496,-1,0.16915477616685667,4588076
1745051249,1745052455,1206,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 182 feature_id 4 batch_size 1796 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 28,182,1796,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,28,4,0.5,1185,0,None,i7185,1185,473.375,402.0753486570248,-1,0.10831345706787104,4588295
1745051998,1745053409,1411,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 49 feature_id 4 batch_size 874 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 16,49,874,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,16,4,0.5,1392,0,None,i7173,1392,497.046875,412.0561729753521,-1,0.25463460513224717,4588708
1745052498,1745054023,1525,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 1489 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 89,5000,1489,str\(\'H\'\),1,str\(\'stdev\'\),0.999,89,4,0.5,1506,0,None,i7185,1506,454.75,401.6146088643791,-1,0.11458641853672807,4588957
1745053058,1745054392,1334,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4274 feature_id 4 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 80,4274,5000,str\(\'H\'\),1,str\(\'stdev\'\),0.001,80,4,0.49,1313,0,None,i7173,1313,496.05078125,406.1903276585821,-1,0.15473989997594298,4589260
1745053826,1745054925,1099,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 4514 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 56,1,4514,str\(\'H\'\),1,str\(\'tstat\'\),0.001,56,4,0.5,1071,0,None,i7173,1071,477.1875,405.54128440366975,-1,0.03032515676359192,4589670
1745054579,1745055758,1179,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3889 feature_id 4 batch_size 2979 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 73,3889,2979,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,73,4,0.45,1165,0,None,i7180,1165,529.9140625,519.6353400735294,-1,0.14405205022721201,4590090
1745056198,1745057331,1133,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 5000 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 28,1,5000,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,28,4,0.49,1120,0,None,i7183,1120,533.2265625,522.9586074561404,-1,0.15473989997594298,4590978
1745056860,1745057996,1136,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2071 feature_id 4 batch_size 4775 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 30,2071,4775,str\(\'H\'\),1,str\(\'stdev\'\),0.999,30,4,0.5,1121,0,None,i7185,1121,512.15234375,410.2366365131579,-1,0.037990766452168215,4591326
1745057539,1745058417,878,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2412 feature_id 4 batch_size 683 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 35,2412,683,str\(\'H\'\),3,str\(\'tstat\'\),0.001,35,4,0.5,858,0,None,i7173,858,466.953125,403.2752574573864,-1,0.11476896183636141,4591678
1745058150,1745059569,1419,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2479 feature_id 4 batch_size 2141 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 38,2479,2141,str\(\'H\'\),2,str\(\'stdev\'\),0.001,38,4,0.46,1400,0,None,i7185,1400,502.21484375,414.4769476232394,-1,0.22517743571393167,4592003
1745058870,1745060373,1503,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 772 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 42,1,772,str\(\'H\'\),2,str\(\'stdev\'\),0.001,42,4,0.5,1488,0,None,i7185,1488,473.58984375,403.67259933774835,-1,0.2529155549860312,4592399
1745059479,1745060558,1079,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 133 feature_id 4 batch_size 2485 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 30,133,2485,str\(\'H\'\),2,str\(\'stdev\'\),0.999,30,4,0.5,1064,0,None,i7183,1064,532.6328125,522.6975702408257,-1,0.12917658465113074,4592731
1745060265,1745061393,1128,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 4451 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,4451,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,1,4,0.5,1114,0,None,i7183,1114,526.9921875,519.0058251096491,-1,0.09685433165578862,4593143
1745060966,1745062264,1298,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 9,1,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,9,4,0.5,1279,0,None,i7185,1279,468.4453125,407.7909254807692,-1,0.2599126451733013,4593509
1745061560,1745062657,1097,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2829 feature_id 4 batch_size 4954 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 58,2829,4954,str\(\'H\'\),3,str\(\'tstat\'\),0.999,58,4,0.5,1087,0,None,i7180,1087,534.36328125,521.7927576013514,-1,0.2575214488377069,4593844
1745062740,1745064266,1526,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 1912 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 64,5000,1912,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,64,4,0.5,1510,0,None,i7185,1510,491.328125,405.1776705473856,-1,0.2888209757966927,4594464
1745063401,1745064519,1118,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 34 feature_id 4 batch_size 3381 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,34,3381,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,100,4,0.45,1105,0,None,i7183,1105,535.890625,524.1823147123894,-1,0.1103564913485356,4594818
1745064021,1745065273,1252,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 526 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 3,5000,526,str\(\'H\'\),3,str\(\'tstat\'\),0.999,3,4,0.5,1240,0,None,i7185,1240,510.00390625,408.6351376488095,-1,0.22446539595575923,4595126
1745064691,1745065874,1183,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1892 feature_id 4 batch_size 3447 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1892,3447,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,4,0.5,1168,0,None,i7185,1168,496.16796875,401.8004529936975,-1,0.026752869012489106,4595497
1745065141,1745066477,1336,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 3030 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1,3030,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,4,0.5,1321,0,None,i7180,1321,524.77734375,517.9637651585821,-1,0.05252774114151216,4595742
1745065587,1745066854,1267,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 3401 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1,3401,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,4,0.5,1249,0,None,i7180,1249,527.46484375,519.3799212598425,-1,0.022252149114906777,4595967
1745066370,1745067426,1056,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 4421 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9369954504670011 subsets 100,1,4421,str\(\'KL\'\),3,str\(\'tstat\'\),0.9369954504670011,100,4,0.5,1037,0,None,i7173,1037,455.69140625,404.3678508254717,-1,0.26722646611887557,4596380
1745067081,1745068168,1087,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 4784 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 88,1,4784,str\(\'H\'\),2,str\(\'tstat\'\),0.001,88,4,0.49,1076,0,None,i7183,1076,524.76953125,486.10024857954545,-1,0.1503673230569112,4596748
1745067469,1745068522,1053,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 131 feature_id 4 batch_size 1251 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5563749078004258 subsets 31,131,1251,str\(\'KL\'\),3,str\(\'stdev\'\),0.5563749078004258,31,4,0.5,1036,0,None,i7183,1036,519.42578125,448.6616671580189,-1,0.20265207609758693,4596932
1745067862,1745069237,1375,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 830 feature_id 4 batch_size 1028 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.3443653908316603 subsets 39,830,1028,str\(\'H\'\),2,str\(\'tstat\'\),0.3443653908316603,39,4,0.5,1356,0,None,i7185,1356,426.5390625,404.2082201086956,-1,0.23487882630702817,4597130
1745070182,1745071454,1272,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 3861 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 75,1,3861,str\(\'H\'\),3,str\(\'tstat\'\),0.999,75,4,0.5,1257,0,None,i7185,1257,505.6953125,408.6524963378906,-1,0.24738002009185192,4598314
1745070922,1745072076,1154,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4910 feature_id 4 batch_size 1227 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 16,4910,1227,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,16,4,0.5,1135,0,None,i7183,1135,437.84375,404.05111799568965,-1,0.1438815958878193,4598667
1745071563,1745072939,1376,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 1847 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 52,1,1847,str\(\'H\'\),2,str\(\'stdev\'\),0.001,52,4,0.49,1360,0,None,i7183,1360,502.8203125,413.4807235054348,-1,0.24766048396943427,4598982
1745072583,1745073915,1332,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 4 batch_size 857 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 51,1,857,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,51,4,0.5,1317,0,None,i7185,1317,505.8515625,407.23317980410445,-1,0.14607936885956377,4599512
1745073284,1745074449,1165,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1732 feature_id 4 batch_size 4779 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1732,4779,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,100,4,0.5,1148,0,None,i7183,1148,481.546875,401.49649439102564,-1,0.038024615540841945,4599879
1745073963,1745075247,1284,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1098 feature_id 4 batch_size 954 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 51,1098,954,str\(\'H\'\),3,str\(\'tstat\'\),0.999,51,4,0.5,1268,0,None,i7185,1268,471.75390625,407.95700096899225,-1,0.25707294841277994,4600206
1745074683,1745075821,1138,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1026 feature_id 4 batch_size 529 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 29,1026,529,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,29,4,0.5,1117,0,None,i7185,1117,485.68359375,404.5112390350877,-1,0.10487898346351128,4600546
1745075603,1745077030,1427,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 3382 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 77,5000,3382,str\(\'H\'\),2,str\(\'stdev\'\),0.001,77,4,0.44,1415,0,None,i7183,1415,505.4765625,414.45863172743054,-1,0.2534861539093884,4600990
1745076454,1745077889,1435,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 774 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 32,5000,774,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,32,4,0.5,1418,0,None,i7185,1418,500.49609375,405.8070475260417,-1,0.3400443181282421,4601387
1745077044,1745078210,1166,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 950 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 48,5000,950,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,48,4,0.5,1152,0,None,i7185,1152,501.7890625,424.3628509004237,-1,0.1412595004116291,4601676
1745077824,1745079163,1339,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 80 feature_id 4 batch_size 3896 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 16,80,3896,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,16,4,0.48,1324,0,None,i7183,1324,475.80078125,407.56495949074076,-1,0.27317181676521185,4602040
1745078744,1745079797,1053,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3736 feature_id 4 batch_size 4451 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 11,3736,4451,str\(\'H\'\),2,str\(\'stdev\'\),0.001,11,4,0.5,1040,0,None,i7183,1040,529.28125,516.7977225825472,-1,0.23675503293637218,4602470
1745079325,1745080656,1331,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4655 feature_id 4 batch_size 1779 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5193950246826425 subsets 37,4655,1779,str\(\'KL\'\),1,str\(\'stdev\'\),0.5193950246826425,37,4,0.5,1317,0,None,i7185,1317,523.59765625,514.3873600746268,-1,0.1954410113140579,4602737
1745080056,1745081363,1307,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6389130368212121 subsets 100,5000,5000,str\(\'KL\'\),3,str\(\'tstat\'\),0.6389130368212121,100,4,0.5,1293,0,None,i7183,1293,537.3203125,520.6413648200758,-1,0.24782368493268261,4603086
1745080810,1745081945,1135,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2451 feature_id 4 batch_size 3844 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 37,2451,3844,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,37,4,0.5,1120,0,None,i7183,1120,529.80078125,520.9723135964912,-1,0.025465394746863216,4603429
1745082213,1745083240,1027,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 4 batch_size 4089 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 43,5000,4089,str\(\'H\'\),1,str\(\'tstat\'\),0.001,43,4,0.5,1009,0,None,i7183,1009,529.1015625,521.4021541262136,-1,0.022299296059845188,4604046
1745081531,1745083321,1790,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2622 feature_id 4 batch_size 333 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,2622,333,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,4,0.5,1778,0,None,i7183,1778,559.6796875,531.4356119791667,-1,0.8820129569475859,4603757
1745083052,1745084307,1255,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4775 feature_id 4 batch_size 3963 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 47,4775,3963,str\(\'H\'\),2,str\(\'stdev\'\),0.999,47,4,0.5,1244,0,None,i7185,1244,531.55078125,520.8189591535433,-1,0.13414393841400096,4604403
1745083782,1745084984,1202,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 354 feature_id 4 batch_size 1375 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 30,354,1375,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,30,4,0.5,1186,0,None,i7185,1186,530.97265625,521.5728628615702,-1,0.10804508215052931,4604719
1745084411,1745085402,991,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3663 feature_id 4 batch_size 2482 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 40,3663,2482,str\(\'H\'\),1,str\(\'stdev\'\),0.999,40,4,0.5,971,0,None,i7183,971,531.61328125,519.0944602272727,-1,0.06359397534577449,4604869

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⚠ Job 4561273 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561273/4561273_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_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561273/4561273_0_log.out
----------------------------------------
submitit INFO (2025-04-18 23:42:02,926) - Starting with JobEnvironment(job_id=4561273, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 23:42:02,929) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561273/4561273_submitted.pkl
slurmstepd: error: *** JOB 4561273 ON i7173 CANCELLED AT 2025-04-19T00:12:25 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561273/4561273_0_log.err not found


⚠ Job 4574277 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574277/4574277_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_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574277/4574277_0_log.out
----------------------------------------
submitit INFO (2025-04-19 04:19:08,215) - Starting with JobEnvironment(job_id=4574277, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 04:19:08,217) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574277/4574277_submitted.pkl
slurmstepd: error: *** JOB 4574277 ON i7173 CANCELLED AT 2025-04-19T04:49:35 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574277/4574277_0_log.err not found


⚠ Job 4585519 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585519/4585519_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_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585519/4585519_0_log.out
----------------------------------------
submitit INFO (2025-04-19 09:04:54,686) - Starting with JobEnvironment(job_id=4585519, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 09:04:54,703) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585519/4585519_submitted.pkl
slurmstepd: error: *** JOB 4585519 ON i7180 CANCELLED AT 2025-04-19T09:35:14 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585519/4585519_0_log.err not found


⚠ Job 4586119 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586119/4586119_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_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586119/4586119_0_log.out
----------------------------------------
submitit INFO (2025-04-19 09:23:13,011) - Starting with JobEnvironment(job_id=4586119, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 09:23:13,015) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586119/4586119_submitted.pkl
slurmstepd: error: *** JOB 4586119 ON i7185 CANCELLED AT 2025-04-19T09:53:16 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586119/4586119_0_log.err not found


⚠ Job 4594146 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4594146/4594146_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_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4594146/4594146_0_log.out
----------------------------------------
submitit INFO (2025-04-19 13:28:36,926) - Starting with JobEnvironment(job_id=4594146, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 13:28:36,929) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4594146/4594146_submitted.pkl
slurmstepd: error: *** JOB 4594146 ON i7185 CANCELLED AT 2025-04-19T13:58:53 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4594146/4594146_0_log.err not found

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Download »worker_usage.csv« as file

1744998425.5099983,20,0,0
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Download »cpu_ram_usage.csv« as file

timestamp,ram_usage_mb,cpu_usage_percent
1744998425,636.44140625,25.5
1744998425,636.44921875,47.8
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Correlation Heatmap Explanation

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

How It Works

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

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

Color Scale: Yellow to Purple (Viridis)

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

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

What the Heatmap Shows

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

•  Job-Infos

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				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
			}
			
			.slider:before {
				position: absolute;
				content: "";
				height: 20px;
				width: 20px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #444;
			}
			
			input:checked + .slider:before {
				transform: translateX(24px);
			}
			
			.mode-text {
				position: absolute;
				top: 5px;
				left: 65px;
				font-size: 14px;
				color: black;
				transition: .4s;
				width: 65px;
				display: block;
				font-size: 0.7rem;
				text-align: center;
			}
			
			input:checked + .slider .mode-text {
				content: "Dark Mode";
				color: white;
			}
			
			#mainContent {
				height: fit-content;
				min-height: 100%;
			}
			
			li {
				text-align: left;
			}
			
			#share_path {
				margin-bottom: 20px;
				margin-top: 20px;
			}
			
			#sortForm {
				margin-bottom: 20px;
			}
			
			.share_folder_buttons {
				margin-top: 10px;
				margin-bottom: 10px;
			}
			
			.nav_tab_button {
				margin: 10px;
			}
			
			.header_table {
				margin: 10px;
			}
			
			.no_border {
				border: unset !important;
			}
			
			.gui_table {
				padding: 5px !important;
			}
			
			.gui_parameter_row {
			}
			
			.gui_parameter_row_cell {
				border: unset !important;
			}
			
			.gui_param_table {
				width: 95%;
				margin: unset !important;
			}
			
			table td, table tr,
			.parameterRow table {
				padding: 2px !important;
			}
			
			.parameterRow table {
				margin: 0px;
				border: unset;
			}
			
			.parameterRow > td {
				border: 0px !important;
			}
			
			.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
				border: 0px !important;
			}
			
			.green_text {
				color: green;
			}
			
			.remove_parameter {
				white-space: pre;
			}
			
			select {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				background-color: #fff;
				color: #222;
				padding: 5px 30px 5px 5px;
				border: 1px solid #555;
				border-radius: 5px;
				cursor: pointer;
				outline: none;
				transition: all 0.3s ease;
				background:
					url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
					no-repeat right 10px center,
				linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
				background-size: 12px, auto;
			}
			
			select:hover {
				border-color: #888;
			}
			
			select:focus {
				border-color: #4caf50;
				box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
			}
			
			select::-ms-expand {
				display: none;
			}
			
			input, textarea {
				border-radius: 5px;
			}
			
			#search {
				width: 200px;
				max-width: 70%;
				background-image: url(images/search.svg);
				background-repeat: no-repeat;
				background-size: auto 40px;
				height: 40px;
				line-height: 40px;
				padding-left: 40px;
				box-sizing: border-box;
			}
			
			input[type="checkbox"] {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				width: 25px;
				height: 25px;
				border: 2px solid #3498db;
				border-radius: 5px;
				background-color: #fff;
				position: relative;
				cursor: pointer;
				transition: all 0.3s ease;
				width: 25px !important;
			}
			
			input[type="checkbox"]:checked {
				background-color: #3498db;
				border-color: #2980b9;
			}
			
			input[type="checkbox"]:checked::before {
				content: '✔';
				position: absolute;
				left: 4px;
				top: 2px;
				color: #fff;
			}
			
			input[type="checkbox"]:hover {
				border-color: #2980b9;
				background-color: #3caffc;
			}
			
			.toc {
				margin-bottom: 20px;
			}
			
			.toc li {
				margin-bottom: 5px;
			}
			
			.toc a {
				text-decoration: none;
				color: #007bff;
			}
			
			.toc a:hover {
				text-decoration: underline;
			}
			
			.table-container {
				width: 100%;
				overflow-x: auto;
			}
			
			.section-header {
				background-color: #1d6f9a !important;
				color: white;
			}
			
			.warning {
				color: red;
			}
			
			.li_list a {
				text-decoration: none;
			}
			
			.gridjs-td {
				white-space: nowrap;
			}
			
			th, td {
				border: 1px solid gray !important;
			}
			
			.no_border {
				border: 0px !important;
			}
			
			.no_break {
			
			}
			
			img {
				user-select: none;
				pointer-events: none;
			}
			
			#config_table, #hidden_config_table {
				user-select: none;
			}
			
			.copy_clipboard_button {
				margin-bottom: 10px;
			}
			
			.badge_table {
				background-color: unset !important;
			}
			
			.make_markable {
				user-select: text;
			}
			
			.header-container {
				display: flex;
				flex-wrap: wrap;
				align-items: center;
				justify-content: space-between;
				gap: 1rem;
				padding: 10px;
				background: var(--header-bg, #fff);
				border-bottom: 1px solid #ccc;
			}
			
			.header-logo-group {
				display: flex;
				gap: 1rem;
				align-items: center;
				flex: 1 1 auto;
				min-width: 200px;
			}
			
			.logo-img {
				max-height: 45px;
				height: auto;
				width: auto;
				object-fit: contain;
				pointer-events: unset;
			}
			
			.header-badges {
				flex-direction: column;
				gap: 5px;
				align-items: flex-start;
				flex: 0 1 auto;
				margin-top: auto;
				margin-bottom: auto;
			}
			
			.badge-img {
				height: auto;
				max-width: 130px;
				margin-top: 3px;
			}
			
			.header-tabs {
				margin-top: 10px;
				display: flex;
				flex-wrap: wrap;
				gap: 10px;
				flex: 2 1 100%;
				justify-content: center;
			}
			
			.nav-tab {
				display: inline-block;
				text-decoration: none;
				padding: 8px 16px;
				border-radius: 20px;
				background: linear-gradient(to right, #4a90e2, #357ABD);
				color: white;
				font-weight: bold;
				white-space: nowrap;
				transition: background 0.2s ease-in-out, transform 0.2s;
				box-shadow: 0 2px 4px rgba(0,0,0,0.2);
			}
			
			.nav-tab:hover {
				background: linear-gradient(to right, #5aa0f2, #4a90e2);
				transform: translateY(-2px);
			}
			
			.current-tag {
				padding-left: 10px;
				font-size: 0.9rem;
				color: #666;
			}
			
			.header-theme-toggle {
				flex: 1 1 auto;
				align-items: center;
				margin-top: 20px;
				min-width: 120px;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 60px;
				height: 30px;
			}
			
			.switch input {
				display: none;
			}
			
			.slider {
				position: absolute;
				top: 0; left: 0; right: 0; bottom: 0;
				background-color: #ccc;
				border-radius: 34px;
				cursor: pointer;
			}
			
			.slider::before {
				content: "";
				position: absolute;
				height: 24px;
				width: 24px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #2196F3;
			}
			
			input:checked + .slider::before {
				transform: translateX(30px);
			}
			
			@media (max-width: 768px) {
				.header-logo-group,
				.header-badges,
				.header-theme-toggle {
					justify-content: center;
					flex: 1 1 100%;
					text-align: center;
					width: inherit;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.hide_on_mobile {
					display: none;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					white-space: pre;
					font-size: 2em;
				}
			}
			
			.header_button {
				white-space: pre;
				margin-top: 20px;
				margin: 5px;
			}
			
			.line_break_anywhere {
				line-break: anywhere;
			}
			
			.responsive-container {
				display: flex;
				flex-wrap: wrap;
				justify-content: space-between;
				gap: 20px;
			}
			
			.responsive-container .half {
				flex: 1 1 48%;
				box-sizing: border-box;
				min-width: 500px;
			}
			
			.config-section table {
				width: 100%;
				border-collapse: collapse;
			}
			
			@media (max-width: 768px) {
				.responsive-container .half {
					flex: 1 1 100%;
				}
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			.rotate {
				animation: spin 2s linear infinite;
				display: inline-block;
			}
			
			input::placeholder {
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			.gridjs-th-content {
				overflow: visible !important;
			}
			
			.error_text {
				color: red;
			}
			
			h1, h2, h3, h4, h5, h6 {
				margin-top: 1em;
				font-weight: bold;
				color: #333;
				border-left: 5px solid #ccc;
				padding-left: 0.5em;
			}
			
			.no_cursive {
				font-style: normal;	
			}
			
			.caveat {
				background-color: #fff8b3;
				border: 1px solid #f2d600;
				padding: 1em 1em 1em 70px;
				position: relative;
				font-family: sans-serif;
				color: #665500;
				margin: 1em 0;
				border-radius: 4px;
			}
			
			.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
				margin-top: 0;
				margin-bottom: 0.5em;
				font-weight: bold;
			}
			
			.caveat::before {
				content: "⚠️";
				font-size: 50px;
				line-height: 1;
				position: absolute;
				left: 10px;
				top: 50%;
				transform: translateY(-50%);
				pointer-events: none;
				user-select: none;
			}
			
			.caveat.warning::before { content: "⚠️"; }
			.caveat.stop::before { content: "🛑"; }
			.caveat.exclamation::before { content: "❗"; }
			.caveat.alarm::before { content: "🚨"; }
			.caveat.tip::before { content: "💡"; }
			
			.tutorial_icon {
				display: inline-block;
				font-size: 1.3em;
				line-height: 1;
				vertical-align: middle;
				transform: translateY(-10%);
				padding: 0.2em 0;
			}
			
			.highlight {
				background-color: yellow;
				font-weight: bold;
			}
			
			#searchResults li {
				opacity: 0;
				transform: translateY(8px);
				animation: fadeInUp 0.3s ease-out forwards;
				animation-delay: 0.05s;
				list-style: none;
				margin-bottom: 5px;
			}
			
			@keyframes fadeInUp {
				to {
					opacity: 1;
					transform: translateY(0);
				}
			}
			
			.search_headline {
				font-weight: bold;
				margin-top: 1em;
				margin-bottom: 0.3em;
				color: #444;
			}
			
			.search_share_path {
				color: black;
				display: block ruby;
				margin-top: 20px;
			}
			
			@media print {
				#scads_bar {
					display: none !important;
				}
			}
			

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 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stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' 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13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 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stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23bdd3fb' d='M8 12h1'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath 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			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1M1 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' 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			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 17px;
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			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
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stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
			}
			
			.field-row{
				display: flex;
				align-items: center
			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
				margin-top: 6px
			}
			
			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
			menu[role=tablist] button{
				background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
				padding: 0 12px 3px
			}
			
			menu[role=tablist] button: hover{
				box-shadow: unset;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]{
				border-color: #919b9c;
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]: first-of-type: before{
				content: "";
				display: block;
				position: absolute;
				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
			}
			
			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
			}
			
			ul.tree-view{
				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
			}
			
			@keyframes sliding{
				0%{
					transform: translateX(-30px)
				}
			
				to{
					transform: translateX(100%)
				}
			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
				border-radius: 4px;
				padding: 1px 2px 1px 0;
				overflow: hidden;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress,progress: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				height: 14px
			}
			
			progress[value]: :-webkit-progress-bar{
				background-color: transparent
			}
			
			progress[value]: :-webkit-progress-value{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress[value]: :-moz-progress-bar{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-webkit-progress-bar{
				width: 100%;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-webkit-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]){
				position: relative
			}
			
			progress: not([value]): before{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before,progress: not([value]): before: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): after{
				box-sizing: border-box;
				content: "";
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1321 feature_id 4 batch_size 2152 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.3771766170728952 subsets 38",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 524 feature_id 4 batch_size 1164 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.6566541424188763 subsets 85",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4437 feature_id 4 batch_size 3007 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.40719956140778957 subsets 29",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3498 feature_id 4 batch_size 1877 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.01094967521727085 subsets 57",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3649 feature_id 4 batch_size 3357 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 59",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2317 feature_id 4 batch_size 4347 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.0868820854620432 subsets 74",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1506 feature_id 4 batch_size 3675 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 34",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4857 feature_id 4 batch_size 3735 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 56",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4329 feature_id 4 batch_size 1277 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 37",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 878 feature_id 4 batch_size 4523 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 8",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4342 feature_id 4 batch_size 4625 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 18",
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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 main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4712 feature_id 4 batch_size 2364 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 11",
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 9 feature_id 4 batch_size 4231 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 27",
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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 main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4953 feature_id 4 batch_size 4417 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4589 feature_id 4 batch_size 2953 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 97",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1036 feature_id 4 batch_size 4199 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 7",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 174 feature_id 4 batch_size 2341 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 main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3381 feature_id 4 batch_size 3009 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 63",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3209 feature_id 4 batch_size 2947 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 54",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1593 feature_id 4 batch_size 3502 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 15",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4683 feature_id 4 batch_size 790 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 21",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4240 feature_id 4 batch_size 4916 divergence str\\(\\'H\\'\\) detect_batch 2 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 main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 145 feature_id 4 batch_size 2768 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 51",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4626 feature_id 4 batch_size 1597 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 15",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 201 feature_id 4 batch_size 3745 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 74",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 984 feature_id 4 batch_size 2722 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 26",
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			        3,
			        15
			    ],
			    [
			        1745077035.8076825,
			        20,
			        3,
			        15
			    ],
			    [
			        1745077801.9431615,
			        20,
			        3,
			        15
			    ],
			    [
			        1745077802.1576393,
			        20,
			        3,
			        15
			    ],
			    [
			        1745077803.940379,
			        20,
			        4,
			        20
			    ],
			    [
			        1745077804.3768609,
			        20,
			        4,
			        20
			    ],
			    [
			        1745077816.8916078,
			        20,
			        3,
			        15
			    ],
			    [
			        1745077817.0052214,
			        20,
			        3,
			        15
			    ],
			    [
			        1745078737.9981658,
			        20,
			        3,
			        15
			    ],
			    [
			        1745078738.2228436,
			        20,
			        3,
			        15
			    ],
			    [
			        1745078739.8613915,
			        20,
			        4,
			        20
			    ],
			    [
			        1745078740.2667637,
			        20,
			        4,
			        20
			    ],
			    [
			        1745078744.1006444,
			        20,
			        3,
			        15
			    ],
			    [
			        1745078754.5750535,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078754.632485,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079301.7049482,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079301.9357977,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079303.9537375,
			        20,
			        3,
			        15
			    ],
			    [
			        1745079304.4071305,
			        20,
			        3,
			        15
			    ],
			    [
			        1745079314.205725,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079314.317246,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080037.1863163,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080037.409256,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080038.9790893,
			        20,
			        3,
			        15
			    ],
			    [
			        1745080039.403887,
			        20,
			        3,
			        15
			    ],
			    [
			        1745080049.9069726,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080050.0184748,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080796.2424855,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080796.8486404,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080798.2120605,
			        20,
			        3,
			        15
			    ],
			    [
			        1745080798.6210296,
			        20,
			        3,
			        15
			    ],
			    [
			        1745080809.363216,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080809.8169038,
			        20,
			        2,
			        10
			    ],
			    [
			        1745081508.320905,
			        20,
			        2,
			        10
			    ],
			    [
			        1745081508.847627,
			        20,
			        2,
			        10
			    ],
			    [
			        1745081510.2036598,
			        20,
			        3,
			        15
			    ],
			    [
			        1745081510.611118,
			        20,
			        3,
			        15
			    ],
			    [
			        1745081520.8028393,
			        20,
			        2,
			        10
			    ],
			    [
			        1745081521.7701046,
			        20,
			        2,
			        10
			    ],
			    [
			        1745082191.5222418,
			        20,
			        2,
			        10
			    ],
			    [
			        1745082191.8993855,
			        20,
			        2,
			        10
			    ],
			    [
			        1745082193.2786307,
			        20,
			        3,
			        15
			    ],
			    [
			        1745082193.7536218,
			        20,
			        3,
			        15
			    ],
			    [
			        1745082204.1623461,
			        20,
			        2,
			        10
			    ],
			    [
			        1745082204.271254,
			        20,
			        2,
			        10
			    ],
			    [
			        1745083035.9045095,
			        20,
			        2,
			        10
			    ],
			    [
			        1745083036.1394334,
			        20,
			        2,
			        10
			    ],
			    [
			        1745083037.4841964,
			        20,
			        3,
			        15
			    ],
			    [
			        1745083046.9755127,
			        20,
			        3,
			        15
			    ],
			    [
			        1745083764.451406,
			        20,
			        3,
			        15
			    ],
			    [
			        1745083766.8927255,
			        20,
			        3,
			        15
			    ],
			    [
			        1745083768.3612826,
			        20,
			        4,
			        20
			    ],
			    [
			        1745083768.853045,
			        20,
			        4,
			        20
			    ],
			    [
			        1745083772.6863196,
			        20,
			        3,
			        15
			    ],
			    [
			        1745083782.6665347,
			        20,
			        2,
			        10
			    ],
			    [
			        1745083782.716783,
			        20,
			        2,
			        10
			    ],
			    [
			        1745084388.1380372,
			        20,
			        2,
			        10
			    ],
			    [
			        1745084388.365775,
			        20,
			        2,
			        10
			    ],
			    [
			        1745084390.015292,
			        20,
			        3,
			        15
			    ],
			    [
			        1745084390.4916835,
			        20,
			        3,
			        15
			    ],
			    [
			        1745084401.0419612,
			        20,
			        2,
			        10
			    ],
			    [
			        1745084401.2016919,
			        20,
			        2,
			        10
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1744998425,
			        636.44140625,
			        25.5
			    ],
			    [
			        1744998425,
			        636.44921875,
			        47.8
			    ],
			    [
			        1744998425,
			        636.44921875,
			        44.1
			    ],
			    [
			        1744998425,
			        636.44921875,
			        49.2
			    ],
			    [
			        1744998425,
			        636.44921875,
			        56.2
			    ],
			    [
			        1744998425,
			        636.44921875,
			        48.6
			    ],
			    [
			        1744998425,
			        636.44921875,
			        62.5
			    ],
			    [
			        1744998964,
			        690.8515625,
			        27
			    ],
			    [
			        1744998964,
			        690.8515625,
			        46.8
			    ],
			    [
			        1744998964,
			        690.8515625,
			        43.4
			    ],
			    [
			        1744998964,
			        690.8515625,
			        39.6
			    ],
			    [
			        1745007157,
			        868.921875,
			        34.4
			    ],
			    [
			        1745007157,
			        868.921875,
			        8.9
			    ],
			    [
			        1745007158,
			        868.921875,
			        8.9
			    ],
			    [
			        1745007158,
			        868.921875,
			        9.5
			    ],
			    [
			        1745015383,
			        873.25,
			        8.7
			    ],
			    [
			        1745015383,
			        873.25,
			        9.3
			    ],
			    [
			        1745015383,
			        873.25,
			        8.9
			    ],
			    [
			        1745015383,
			        873.25,
			        8.5
			    ],
			    [
			        1745025570,
			        873.6953125,
			        9
			    ],
			    [
			        1745025570,
			        873.6953125,
			        7.6
			    ],
			    [
			        1745025570,
			        873.6953125,
			        8.3
			    ],
			    [
			        1745025570,
			        873.6953125,
			        12.5
			    ],
			    [
			        1745031724,
			        943.65625,
			        8.9
			    ],
			    [
			        1745031724,
			        943.65625,
			        8.6
			    ],
			    [
			        1745031724,
			        943.65625,
			        9
			    ],
			    [
			        1745031724,
			        943.65625,
			        9.1
			    ],
			    [
			        1745041971,
			        953.52734375,
			        9
			    ],
			    [
			        1745041971,
			        953.52734375,
			        8.2
			    ],
			    [
			        1745041971,
			        953.52734375,
			        8.3
			    ],
			    [
			        1745041971,
			        953.52734375,
			        7.3
			    ],
			    [
			        1745054587,
			        910.83203125,
			        8.8
			    ],
			    [
			        1745054587,
			        910.83203125,
			        8.5
			    ],
			    [
			        1745054587,
			        910.83203125,
			        8.5
			    ],
			    [
			        1745054587,
			        910.83203125,
			        8.5
			    ],
			    [
			        1745067877,
			        936.53125,
			        8.8
			    ],
			    [
			        1745067877,
			        936.53125,
			        8.2
			    ],
			    [
			        1745067877,
			        936.53125,
			        7.9
			    ],
			    [
			        1745067877,
			        936.53125,
			        9.4
			    ],
			    [
			        1745084409,
			        966.546875,
			        8.8
			    ],
			    [
			        1745084409,
			        966.546875,
			        8.9
			    ],
			    [
			        1745084409,
			        966.546875,
			        8.3
			    ],
			    [
			        1745084409,
			        966.546875,
			        5.9
			    ]
			];
			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();

				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>856   </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>356   </td></tr></tbody></table><h2>Experiment parameters:                                                    </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Values</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> feature_id</td><td>FixedParameter</td><td></td><td></td><td>4</td><td></td><td></td></tr><tr><td> batch_size</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> divergence</td><td>choice</td><td></td><td></td><td>str\(\&#039;H\&#039;\), str\(\&#039;KL\&#039;\)</td><td></td><td></td></tr><tr><td> detect_batch</td><td>choice</td><td></td><td></td><td>1, 2, 3</td><td></td><td></td></tr><tr><td> statistic</td><td>choice</td><td></td><td></td><td>str\(\&#039;stdev\&#039;\), str\(\&#039;tstat\&#039;\)</td><td></td><td></td></tr><tr><td> significance</td><td>float</td><td>0.001</td><td>0.999</td><td></td><td>float</td><td>No         </td></tr><tr><td> subsets</td><td>int</td><td>1</td><td>100</td><td></td><td>int</td><td>No         </td></tr></tbody></table><h2>Number of evaluations</h2>
			<table>
			<tbody>
			<tr>
			<th>Failed</th>
			<th>Succeeded</th>
			<th>Running</th>
			<th>Total</th>
			</tr>
			<tr>
			<td>8</td>
			<td>529</td>
			<td>3</td>
			<td>540</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types</h2>
			<table>
			<tr><th>name</th><th>min/max</th></tr>
			<tr>
			<td>ACCURACY</td>
			<td>max</td>
			</tr>
			<tr>
			<td>RUNTIME</td>
			<td>min</td>
			</tr>
			</table>
			<br>
			<h2>Git-Version</h2>
			<tt>Commit: 2223ae6553abdd3e288f4b391080b763a7a48477
			</tt>
			<h1>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,batch_size,divergence,detect_batch,statistic,significance,subsets,feature_id
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,965.000000000000000000000000000000,4133,794,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.705877367138862621409600706102,35,4
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1278.000000000000000000000000000000,1645,2688,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.049357008961960671666879818531,98,4
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,865.000000000000000000000000000000,1159,1539,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.368762363186106112422635305848,11,4
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.450000000000000011102230246252,931.000000000000000000000000000000,3691,4687,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.901507386505603802717701000802,74,4
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,991.000000000000000000000000000000,3085,1917,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.557466967323794970745609589358,22,4
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,932.000000000000000000000000000000,514,3811,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.211845008868724121731119680589,59,4
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.440000000000000002220446049250,1652.000000000000000000000000000000,2289,84,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.391439647208899232921908151184,47,4
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.440000000000000002220446049250,925.000000000000000000000000000000,4738,3232,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.860836951674893491315287974430,84,4
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,805.000000000000000000000000000000,4410,1817,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.975433586243540040605637386761,16,4
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,814.000000000000000000000000000000,2002,4957,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.255805519932880975897404596253,54,4
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,863.000000000000000000000000000000,178,1145,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.076759136544540529367708359132,43,4
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.450000000000000011102230246252,1014.000000000000000000000000000000,2787,3040,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.670662548866122976143344658340,80,4
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.450000000000000011102230246252,882.000000000000000000000000000000,3431,440,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.763246144456788844223638079711,28,4
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,890.000000000000000000000000000000,784,3580,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.481219663552939880268866090773,90,4
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1412.000000000000000000000000000000,1397,2190,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.161266039505600922154826548649,3,4
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,938.000000000000000000000000000000,3766,4085,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.569017174398526504042195028887,66,4
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1152.000000000000000000000000000000,3965,2367,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.454316422658041119131411278431,97,4
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.479999999999999982236431605997,862.000000000000000000000000000000,1510,4222,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.799692749019712212366073345038,34,4
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1550.000000000000000000000000000000,667,611,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.620159068379551148275652394659,72,4
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,864.000000000000000000000000000000,3235,3721,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.151007306778803473967798254307,9,4
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,899.000000000000000000000000000000,2590,1009,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.305973507210612283291339963398,61,4
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,802.000000000000000000000000000000,62,2864,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.962252203946933115652484502789,24,4
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,839.000000000000000000000000000000,2115,1676,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.642785892022773586162998071813,85,4
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,876.000000000000000000000000000000,4610,4786,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.110282630525529390386196837426,48,4
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,1637.000000000000000000000000000000,4857,264,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.224962851425632825996814290193,53,4
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.450000000000000011102230246252,931.000000000000000000000000000000,2482,3365,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.507234960705041926232183868706,16,4
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.489999999999999991118215802999,1120.000000000000000000000000000000,322,2092,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.827127627052366753979129043728,78,4
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.450000000000000011102230246252,842.000000000000000000000000000000,2965,3949,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.419130953012034290772191980068,40,4
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,922.000000000000000000000000000000,3571,1406,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.012723138671368362101476989778,93,4
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.500000000000000000000000000000,898.000000000000000000000000000000,966,4508,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.732592881293967379541243190033,30,4
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1420.000000000000000000000000000000,4827,2059,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1070.000000000000000000000000000000,1,4795,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.179392280329752629164374866377,1,4
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1420.000000000000000000000000000000,1281,2739,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1418.000000000000000000000000000000,2541,3162,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1421.000000000000000000000000000000,4869,2102,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,881.000000000000000000000000000000,1,2740,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.156111508209008070791057321003,1,4
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1386.000000000000000000000000000000,5000,2706,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1409.000000000000000000000000000000,2762,2609,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1059.000000000000000000000000000000,5000,272,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1409.000000000000000000000000000000,5000,3566,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.799489672051832633847823217366,1,4
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1482.000000000000000000000000000000,4491,4848,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.438090733621484373916388221915,1,4
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1099.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1418.000000000000000000000000000000,227,3675,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.757548708287424044094393593696,1,4
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1379.000000000000000000000000000000,4251,2475,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1411.000000000000000000000000000000,5000,1449,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1100.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,1028.000000000000000000000000000000,3943,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1062.000000000000000000000000000000,2521,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.257220092080916395982370659112,1,4
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1359.000000000000000000000000000000,92,4606,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.571176067449196356307083988213,1,4
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,827.000000000000000000000000000000,1,2479,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1429.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,861.000000000000000000000000000000,5000,2851,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1426.000000000000000000000000000000,2036,3706,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.768013332974323836843666413188,1,4
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1414.000000000000000000000000000000,1002,3327,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1409.000000000000000000000000000000,1,4770,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.650828245631399404658168350579,1,4
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,1017.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1424.000000000000000000000000000000,3838,3720,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.918265569648078261444368308730,1,4
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,782.000000000000000000000000000000,1,3352,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,906.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.338245195693185896068655438285,100,4
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1403.000000000000000000000000000000,1,2633,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,855.000000000000000000000000000000,115,393,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.377940997953696677935653269742,78,4
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,811.000000000000000000000000000000,4996,2058,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,4
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1035.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.007341816645853527917298109173,76,4
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,745.000000000000000000000000000000,804,3668,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,36,4
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,893.000000000000000000000000000000,2448,173,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,85,4
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,877.000000000000000000000000000000,9,152,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21,4
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,920.000000000000000000000000000000,1,1300,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,97,4
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,855.000000000000000000000000000000,1049,4645,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39,4
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,933.000000000000000000000000000000,5000,1286,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29,4
69,69_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,899.000000000000000000000000000000,1,1897,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,75,4
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,833.000000000000000000000000000000,5000,3297,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,70,4
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,761.000000000000000000000000000000,3176,3560,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,36,4
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1853.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,812.000000000000000000000000000000,3239,4003,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,881.000000000000000000000000000000,1,3830,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37,4
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,905.000000000000000000000000000000,4393,2732,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,4
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,849.000000000000000000000000000000,216,681,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1653.000000000000000000000000000000,2648,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.977291754788000788245483363426,100,4
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1726.000000000000000000000000000000,1299,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,896.000000000000000000000000000000,1,379,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,92,4
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,904.000000000000000000000000000000,4930,4388,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,825.000000000000000000000000000000,5000,4994,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,4
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1740.000000000000000000000000000000,1361,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,899.000000000000000000000000000000,5000,1105,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,876.000000000000000000000000000000,5000,4073,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,8,4
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1740.000000000000000000000000000000,1342,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.135011736564266487947705286388,100,4
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1002.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,4
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,827.000000000000000000000000000000,3475,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,37,4
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,773.000000000000000000000000000000,5000,2880,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34,4
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,869.000000000000000000000000000000,565,816,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,90,4
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,929.000000000000000000000000000000,866,676,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.613950467802873434131072372111,88,4
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,1047.000000000000000000000000000000,829,2202,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.912961354318642448468779093673,87,4
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1094.000000000000000000000000000000,1177,817,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.264993767846145422684145387393,88,4
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1076.000000000000000000000000000000,4258,742,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,88,4
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,893.000000000000000000000000000000,3512,719,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,90,4
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,878.000000000000000000000000000000,4539,952,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.536675845384784855340853937378,89,4
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1834.000000000000000000000000000000,742,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.225451564663545517275267116020,31,4
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,911.000000000000000000000000000000,149,2168,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.864564908431896039786579422071,28,4
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,905.000000000000000000000000000000,3075,2184,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.876042943132973817021991180809,28,4
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,921.000000000000000000000000000000,1240,819,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89,4
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1583.000000000000000000000000000000,1130,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,4
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,815.000000000000000000000000000000,4302,1888,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,83,4
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,844.000000000000000000000000000000,4026,2152,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.112767345213870412434786771883,32,4
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,892.000000000000000000000000000000,942,464,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.398244971640453859773600697736,17,4
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,903.000000000000000000000000000000,934,1287,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.578728735710772657085954051581,81,4
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,987.000000000000000000000000000000,322,211,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.639047390965278183649900256569,24,4
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,818.000000000000000000000000000000,1400,1140,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44,4
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,872.000000000000000000000000000000,4087,1537,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.483335245968846693997988950287,38,4
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,887.000000000000000000000000000000,690,134,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.786425952026289287744020839455,82,4
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,911.000000000000000000000000000000,1,808,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,93,4
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,899.000000000000000000000000000000,3763,770,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,88,4
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,882.000000000000000000000000000000,5000,820,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.108328169744096397542065801645,87,4
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1616.000000000000000000000000000000,2146,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.914657263873745018933902883873,33,4
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,805.000000000000000000000000000000,793,2017,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,29,4
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,824.000000000000000000000000000000,3116,776,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,91,4
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,949.000000000000000000000000000000,2607,2523,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.887402218087492755671519262251,51,4
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,874.000000000000000000000000000000,3842,888,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.545641549880680254425158182130,86,4
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,904.000000000000000000000000000000,3904,2541,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,79,4
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,892.000000000000000000000000000000,3603,1787,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.725896204374695486194468685426,1,4
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,788.000000000000000000000000000000,4562,3422,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.523861690807118418611310062261,29,4
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,816.000000000000000000000000000000,1298,3382,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.912931134344335371011425195320,29,4
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,843.000000000000000000000000000000,3502,731,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.966888602165624666540111320501,18,4
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,776.000000000000000000000000000000,2744,3283,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.103127844426810541533789944424,30,4
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,837.000000000000000000000000000000,1651,838,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,4
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,761.000000000000000000000000000000,4856,3417,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.118120304793992672576230518189,31,4
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,814.000000000000000000000000000000,1868,514,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.953441769601324873306680274254,17,4
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,867.000000000000000000000000000000,1760,908,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.279037442628089826790471761342,20,4
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,914.000000000000000000000000000000,1314,736,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.468088759144132338096966350349,17,4
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,764.000000000000000000000000000000,1438,3302,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.150656086450228043904786545681,29,4
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,851.000000000000000000000000000000,4042,1113,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.091250942025965578463519989327,100,4
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,840.000000000000000000000000000000,2986,1317,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.005401585931658695050039398211,25,4
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,797.000000000000000000000000000000,4301,3556,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.436002338866833871744432826745,23,4
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,820.000000000000000000000000000000,1544,3409,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.228440472617863488125067306100,38,4
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,802.000000000000000000000000000000,278,3598,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.098563907297412517438672807657,28,4
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,792.000000000000000000000000000000,4651,4350,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.105114594133581068513549894305,24,4
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,924.000000000000000000000000000000,192,3876,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.799973441140658603210056298849,27,4
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,947.000000000000000000000000000000,4909,441,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.612505966147347868933081826981,16,4
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,768.000000000000000000000000000000,441,3673,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.991741743985323664922759689944,100,4
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,837.000000000000000000000000000000,1328,3395,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.873298505221178578139529236068,45,4
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,819.000000000000000000000000000000,4106,449,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,50,4
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,859.000000000000000000000000000000,4697,3474,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.292766698469861474940501011588,36,4
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,777.000000000000000000000000000000,2991,3154,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.004711753742606321002095448591,33,4
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,966.000000000000000000000000000000,4267,1013,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.586283185001565509963938893634,20,4
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,833.000000000000000000000000000000,4366,4238,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,55,4
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,901.000000000000000000000000000000,4581,787,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19,4
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,793.000000000000000000000000000000,4477,3045,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.277166084523154165886182909162,42,4
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,907.000000000000000000000000000000,1079,3293,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.357292135958606205115017928620,42,4
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,772.000000000000000000000000000000,2117,3453,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27,4
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,861.000000000000000000000000000000,4836,795,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,4
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,919.000000000000000000000000000000,4008,4490,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.531065128642701611560994479078,16,4
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,800.000000000000000000000000000000,1144,3430,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34,4
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,826.000000000000000000000000000000,4213,4872,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26,4
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,1000.000000000000000000000000000000,3206,373,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.436452436730226045469294149370,26,4
154,154_0,FAILED,BoTorch,GenerationStep_1,,,3441,373,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.229804204400134354235873956895,100,4
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,820.000000000000000000000000000000,2924,2074,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33,4
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,909.000000000000000000000000000000,2851,2168,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,4
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,780.000000000000000000000000000000,2037,3412,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,9,4
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,860.000000000000000000000000000000,1378,2080,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,4
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,787.000000000000000000000000000000,3512,3398,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,56,4
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,875.000000000000000000000000000000,2012,3393,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,58,4
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,828.000000000000000000000000000000,4309,4387,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,4
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,873.000000000000000000000000000000,2415,4522,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17,4
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,832.000000000000000000000000000000,3625,3446,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38,4
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,783.000000000000000000000000000000,3179,4257,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.854044756653245751287784059969,17,4
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,794.000000000000000000000000000000,4973,3447,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,4
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,909.000000000000000000000000000000,473,4331,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.218227302466866807106882220069,94,4
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,919.000000000000000000000000000000,4116,3382,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37,4
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,796.000000000000000000000000000000,2877,2162,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23,4
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,833.000000000000000000000000000000,4510,3436,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,55,4
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,814.000000000000000000000000000000,1741,4379,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19,4
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,977.000000000000000000000000000000,3153,3604,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,90,4
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,865.000000000000000000000000000000,2717,4498,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,59,4
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,911.000000000000000000000000000000,4970,4992,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.370058612979715262358837435386,19,4
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,1046.000000000000000000000000000000,3139,4934,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.456867945668279540338829747270,93,4
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,923.000000000000000000000000000000,2274,4348,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,95,4
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,835.000000000000000000000000000000,4265,4248,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.194449933087837117939855602344,54,4
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,2363.000000000000000000000000000000,4344,801,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,97,4
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,806.000000000000000000000000000000,4190,2054,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,48,4
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,1027.000000000000000000000000000000,4722,4211,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.829332489592591204363714041392,100,4
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,805.000000000000000000000000000000,928,3917,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23,4
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,835.000000000000000000000000000000,2653,3926,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,84,4
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,905.000000000000000000000000000000,303,1479,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,4
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,965.000000000000000000000000000000,1346,1530,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44,4
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,910.000000000000000000000000000000,3263,1212,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,12,4
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,994.000000000000000000000000000000,33,1565,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,6,4
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1026.000000000000000000000000000000,5000,1651,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,837.000000000000000000000000000000,4008,1374,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,10,4
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,886.000000000000000000000000000000,3167,1428,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,60,4
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,831.000000000000000000000000000000,1342,1049,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15,4
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,940.000000000000000000000000000000,340,657,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,58,4
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,918.000000000000000000000000000000,2562,1245,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,4
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,869.000000000000000000000000000000,3155,4767,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,22,4
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,860.000000000000000000000000000000,4243,4753,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,45,4
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,845.000000000000000000000000000000,4548,1245,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35,4
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,847.000000000000000000000000000000,2760,1522,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,4
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,858.000000000000000000000000000000,1624,945,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43,4
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,840.000000000000000000000000000000,2629,644,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39,4
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,950.000000000000000000000000000000,596,2468,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,56,4
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,923.000000000000000000000000000000,4645,3893,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,4
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,962.000000000000000000000000000000,3863,799,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48,4
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,851.000000000000000000000000000000,4616,2842,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,70,4
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1052.000000000000000000000000000000,4007,1140,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,5,4
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,903.000000000000000000000000000000,2626,4439,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,69,4
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,995.000000000000000000000000000000,615,1950,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,51,4
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,908.000000000000000000000000000000,1602,1428,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,4
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,802.000000000000000000000000000000,368,3949,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,4
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,945.000000000000000000000000000000,4898,1463,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,43,4
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,835.000000000000000000000000000000,2566,4840,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,925.000000000000000000000000000000,728,4776,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70,4
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,839.000000000000000000000000000000,969,4928,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.290236783575018864045347299907,84,4
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,880.000000000000000000000000000000,2791,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.364100024063442273547508420961,85,4
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,902.000000000000000000000000000000,484,3949,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,71,4
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,766.000000000000000000000000000000,312,3737,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77,4
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,895.000000000000000000000000000000,1758,4921,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,33,4
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,874.000000000000000000000000000000,4032,4063,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,47,4
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,896.000000000000000000000000000000,2583,3284,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,70,4
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,960.000000000000000000000000000000,2264,4988,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,56,4
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1058.000000000000000000000000000000,574,2293,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,72,4
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,825.000000000000000000000000000000,2439,1334,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,4
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,805.000000000000000000000000000000,182,1754,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33,4
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,908.000000000000000000000000000000,589,4725,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,4
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,975.000000000000000000000000000000,233,2994,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,78,4
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,831.000000000000000000000000000000,1237,4423,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,47,4
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,883.000000000000000000000000000000,5000,2694,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,24,4
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,847.000000000000000000000000000000,158,2742,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,80,4
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,877.000000000000000000000000000000,268,4045,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,68,4
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,869.000000000000000000000000000000,3907,1761,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,66,4
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,826.000000000000000000000000000000,4750,550,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,64,4
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,830.000000000000000000000000000000,2250,4865,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,91,4
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1074.000000000000000000000000000000,1237,2786,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,3,4
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,963.000000000000000000000000000000,1888,2761,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,65,4
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,760.000000000000000000000000000000,3443,4402,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,86,4
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,864.000000000000000000000000000000,3077,3707,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72,4
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1211.000000000000000000000000000000,2302,1323,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,902.000000000000000000000000000000,3587,4610,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89,4
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,796.000000000000000000000000000000,1598,4906,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,9,4
237,237_0,FAILED,BoTorch,GenerationStep_1,,,2212,637,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,779.000000000000000000000000000000,3314,3208,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61,4
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,874.000000000000000000000000000000,4128,2841,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,65,4
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,963.000000000000000000000000000000,4890,4251,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,83,4
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,915.000000000000000000000000000000,4263,2371,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,57,4
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1731.000000000000000000000000000000,1049,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62,4
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,788.000000000000000000000000000000,1743,4194,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,82,4
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,896.000000000000000000000000000000,1571,4777,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86,4
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,814.000000000000000000000000000000,514,3430,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,26,4
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1133.000000000000000000000000000000,285,810,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,70,4
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,800.000000000000000000000000000000,590,4376,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,83,4
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,913.000000000000000000000000000000,4387,4306,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48,4
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,926.000000000000000000000000000000,3389,2931,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,51,4
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,871.000000000000000000000000000000,4811,1512,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39,4
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1739.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,4
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1212.000000000000000000000000000000,157,994,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,67,4
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,795.000000000000000000000000000000,1402,4321,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,83,4
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,990.000000000000000000000000000000,1725,922,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34,4
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,763.000000000000000000000000000000,454,3398,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,57,4
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,803.000000000000000000000000000000,1,3498,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,835.000000000000000000000000000000,1457,1523,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,4
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,859.000000000000000000000000000000,1259,4343,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,4
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,778.000000000000000000000000000000,4964,3760,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,58,4
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,861.000000000000000000000000000000,5000,1692,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,32,4
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.440000000000000002220446049250,810.000000000000000000000000000000,1964,4223,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,4
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,964.000000000000000000000000000000,4235,4478,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,84,4
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,923.000000000000000000000000000000,1,3405,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,799.000000000000000000000000000000,4890,2375,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,58,4
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,947.000000000000000000000000000000,1281,1435,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30,4
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,770.000000000000000000000000000000,2139,4376,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,4
267,267_0,RUNNING,BoTorch,GenerationStep_1,,,438,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,4
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,3313.000000000000000000000000000000,3591,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,59,4
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,3502.000000000000000000000000000000,2941,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,60,4
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,927.000000000000000000000000000000,3234,687,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,49,4
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,922.000000000000000000000000000000,2488,751,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48,4
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,820.000000000000000000000000000000,5000,2372,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,56,4
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,1099.000000000000000000000000000000,3960,1733,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,69,4
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,909.000000000000000000000000000000,5000,642,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,67,4
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,929.000000000000000000000000000000,5000,1353,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,4
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,1077.000000000000000000000000000000,1,3703,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,96,4
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,882.000000000000000000000000000000,4741,2589,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.477957003347800557513380681485,57,4
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1023.000000000000000000000000000000,1,760,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,4
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,987.000000000000000000000000000000,5000,2001,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53,4
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,950.000000000000000000000000000000,159,618,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49,4
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,919.000000000000000000000000000000,471,2632,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,36,4
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,880.000000000000000000000000000000,5000,1862,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61,4
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,893.000000000000000000000000000000,5000,1851,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,74,4
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,852.000000000000000000000000000000,5000,1084,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72,4
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,865.000000000000000000000000000000,1,542,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44,4
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1396.000000000000000000000000000000,1,781,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,864.000000000000000000000000000000,4890,1974,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,64,4
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,947.000000000000000000000000000000,1,1093,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,988.000000000000000000000000000000,1,686,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,45,4
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,880.000000000000000000000000000000,5000,1686,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16,4
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,918.000000000000000000000000000000,4723,1773,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26,4
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,842.000000000000000000000000000000,1,660,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20,4
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1213.000000000000000000000000000000,1,357,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,38,4
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,830.000000000000000000000000000000,3506,755,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,51,4
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,1265.000000000000000000000000000000,1,3727,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,965.000000000000000000000000000000,1,353,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26,4
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,771.000000000000000000000000000000,3468,4451,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,29,4
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,826.000000000000000000000000000000,94,1358,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,60,4
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,824.000000000000000000000000000000,1853,1097,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,2,4
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,835.000000000000000000000000000000,3307,933,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,60,4
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,833.000000000000000000000000000000,3408,1192,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,59,4
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,909.000000000000000000000000000000,3774,1012,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,60,4
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,938.000000000000000000000000000000,4853,1211,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62,4
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,957.000000000000000000000000000000,244,1301,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,59,4
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,812.000000000000000000000000000000,3128,701,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,70,4
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,835.000000000000000000000000000000,4118,4376,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19,4
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,827.000000000000000000000000000000,1556,996,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,4
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,937.000000000000000000000000000000,1544,966,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.221063752416034431380609248663,25,4
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,785.000000000000000000000000000000,3391,4072,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,4
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,858.000000000000000000000000000000,4986,1064,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,58,4
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,888.000000000000000000000000000000,4584,718,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.136204045131359002818172143634,26,4
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,901.000000000000000000000000000000,3851,4802,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.678237992559581281959424359229,3,4
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,965.000000000000000000000000000000,1747,503,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.629017580912579643559467967862,23,4
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,748.000000000000000000000000000000,4111,3451,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,53,4
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,858.000000000000000000000000000000,882,1498,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61,4
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,906.000000000000000000000000000000,4329,799,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49,4
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,833.000000000000000000000000000000,3477,860,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27,4
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,890.000000000000000000000000000000,4408,1286,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.299239088750421156071013228939,57,4
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,898.000000000000000000000000000000,1484,4823,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.762270324477559046982833024231,1,4
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,921.000000000000000000000000000000,4575,1128,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,58,4
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,993.000000000000000000000000000000,3327,649,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21,4
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,879.000000000000000000000000000000,3950,1295,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.162667456105585028769411337635,61,4
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,842.000000000000000000000000000000,1130,1249,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61,4
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,861.000000000000000000000000000000,3751,1894,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,49,4
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1008.000000000000000000000000000000,3297,2539,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,60,4
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,772.000000000000000000000000000000,2652,3019,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,61,4
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1051.000000000000000000000000000000,1426,517,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,12,4
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,810.000000000000000000000000000000,3940,4395,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,844.000000000000000000000000000000,4450,2145,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,60,4
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,853.000000000000000000000000000000,2803,1021,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,4
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,956.000000000000000000000000000000,1161,967,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30,4
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1041.000000000000000000000000000000,1261,1367,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46,4
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,846.000000000000000000000000000000,2681,995,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44,4
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,975.000000000000000000000000000000,64,4898,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38,4
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,834.000000000000000000000000000000,5000,3670,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77,4
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1019.000000000000000000000000000000,4384,1156,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,4
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,786.000000000000000000000000000000,540,2921,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,52,4
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,871.000000000000000000000000000000,249,1051,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,47,4
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,966.000000000000000000000000000000,1,4634,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58,4
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,821.000000000000000000000000000000,110,1631,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,34,4
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,981.000000000000000000000000000000,3804,1287,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,4
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,922.000000000000000000000000000000,2122,1606,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,52,4
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,926.000000000000000000000000000000,4054,2577,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31,4
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,769.000000000000000000000000000000,1064,4508,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,4
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,967.000000000000000000000000000000,4509,4681,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,56,4
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,832.000000000000000000000000000000,3407,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,766.000000000000000000000000000000,817,4668,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31,4
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,831.000000000000000000000000000000,917,4873,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41,4
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,926.000000000000000000000000000000,1495,3135,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,4
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,776.000000000000000000000000000000,1,3605,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,6,4
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,788.000000000000000000000000000000,1,4433,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1448.000000000000000000000000000000,3062,1635,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86,4
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,1081.000000000000000000000000000000,4860,1748,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,889.000000000000000000000000000000,2057,2374,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19,4
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,810.000000000000000000000000000000,1646,1723,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,54,4
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,790.000000000000000000000000000000,3231,4160,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25,4
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,823.000000000000000000000000000000,5000,1363,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45,4
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,824.000000000000000000000000000000,5000,1118,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34,4
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.500000000000000000000000000000,858.000000000000000000000000000000,660,4415,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43,4
360,360_0,COMPLETED,Sobol,SOBOL,0.440000000000000002220446049250,1271.000000000000000000000000000000,1599,3164,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.351060693800449352686143811297,51,4
361,361_0,COMPLETED,Sobol,SOBOL,0.440000000000000002220446049250,1221.000000000000000000000000000000,3285,69,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.600727936172857912566769300611,7,4
362,362_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1127.000000000000000000000000000000,4845,4891,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.949932395685464170398404348816,85,4
363,363_0,COMPLETED,Sobol,SOBOL,0.469999999999999973354647408996,1293.000000000000000000000000000000,39,1721,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.201599744945764547399136290551,28,4
364,364_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1274.000000000000000000000000000000,798,4128,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.486048082409426596139923049122,90,4
365,365_0,COMPLETED,Sobol,SOBOL,0.460000000000000019984014443253,1286.000000000000000000000000000000,4086,2210,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.735715866656973971338118190033,45,4
366,366_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1212.000000000000000000000000000000,2521,2672,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.838334220226854109903058542841,71,4
367,367_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1264.000000000000000000000000000000,2363,835,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.090001874350011348835387536838,15,4
368,368_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1269.000000000000000000000000000000,2084,4481,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.185712112728506323344745965187,99,4
369,369_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1091.000000000000000000000000000000,2877,1390,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.934623010233044615446829084249,42,4
370,370_0,COMPLETED,Sobol,SOBOL,0.440000000000000002220446049250,1252.000000000000000000000000000000,3817,3731,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.522474810471758255303598161845,68,4
371,371_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1349.000000000000000000000000000000,1145,557,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.273385823229327806771493669658,24,4
372,372_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1284.000000000000000000000000000000,385,2965,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.042935835968703033038718075431,61,4
373,373_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1275.000000000000000000000000000000,4577,1050,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.791847276277840128599905256124,4,4
374,374_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1186.000000000000000000000000000000,3642,3992,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.626265314323827593234739197214,81,4
375,375_0,COMPLETED,Sobol,SOBOL,0.460000000000000019984014443253,1317.000000000000000000000000000000,1321,2152,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.377176617072895181692615551583,38,4
376,376_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1182.000000000000000000000000000000,1465,3798,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.759495209459215447900248818769,12,4
377,377_0,COMPLETED,Sobol,SOBOL,0.479999999999999982236431605997,1303.000000000000000000000000000000,3498,1877,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.010949675217270849608697247390,57,4
378,378_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1196.000000000000000000000000000000,4437,3007,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.407199561407789567546444686741,29,4
379,379_0,COMPLETED,Sobol,SOBOL,0.500000000000000000000000000000,1141.000000000000000000000000000000,524,1164,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.656654142418876318743059528060,85,4
380,380_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1298.000000000000000000000000000000,944,886,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,4
381,381_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1401.000000000000000000000000000000,2732,2017,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,38,4
382,382_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1048.000000000000000000000000000000,1986,1272,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23,4
383,383_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1011.000000000000000000000000000000,3649,3357,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,59,4
384,384_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1476.000000000000000000000000000000,2317,4347,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.086882085462043193158088172368,74,4
385,385_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1242.000000000000000000000000000000,1506,3675,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,4
386,386_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1176.000000000000000000000000000000,1,3660,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,50,4
387,387_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1352.000000000000000000000000000000,4857,3735,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,56,4
388,388_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1102.000000000000000000000000000000,283,3674,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55,4
389,389_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1249.000000000000000000000000000000,4329,1277,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37,4
390,390_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1154.000000000000000000000000000000,878,4523,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,8,4
391,391_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1220.000000000000000000000000000000,4342,4625,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18,4
392,392_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1149.000000000000000000000000000000,4712,2364,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,11,4
393,393_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1227.000000000000000000000000000000,9,4231,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27,4
394,394_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1414.000000000000000000000000000000,4953,4417,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
395,395_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1221.000000000000000000000000000000,4589,2953,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,97,4
396,396_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1334.000000000000000000000000000000,1036,4199,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,7,4
397,397_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1185.000000000000000000000000000000,174,2341,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30,4
398,398_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1073.000000000000000000000000000000,3381,3009,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,63,4
399,399_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1308.000000000000000000000000000000,3209,2947,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,54,4
400,400_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1245.000000000000000000000000000000,1593,3502,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,4
401,401_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1227.000000000000000000000000000000,4683,790,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21,4
402,402_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.440000000000000002220446049250,1102.000000000000000000000000000000,4240,4916,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28,4
403,403_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1087.000000000000000000000000000000,4729,4499,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27,4
404,404_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1399.000000000000000000000000000000,4966,2476,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,66,4
405,405_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,1522.000000000000000000000000000000,1,3513,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
406,406_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1260.000000000000000000000000000000,157,2930,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33,4
407,407_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1278.000000000000000000000000000000,524,4880,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44,4
408,408_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1600.000000000000000000000000000000,5000,1274,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,50,4
409,409_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1121.000000000000000000000000000000,1650,4346,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.473739341004155767311800673269,22,4
410,410_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.440000000000000002220446049250,1342.000000000000000000000000000000,1,4215,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,47,4
411,411_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,979.000000000000000000000000000000,1582,4383,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,70,4
412,412_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4963,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40,4
413,413_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1290.000000000000000000000000000000,1,978,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,55,4
414,414_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1157.000000000000000000000000000000,30,4938,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,47,4
415,415_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1376.000000000000000000000000000000,482,1994,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,4
416,416_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1259.000000000000000000000000000000,1,544,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,81,4
417,417_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1291.000000000000000000000000000000,1045,732,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74,4
418,418_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1248.000000000000000000000000000000,1,4718,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62,4
419,419_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,1367.000000000000000000000000000000,1,3291,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49,4
420,420_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1254.000000000000000000000000000000,5000,3886,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,28,4
421,421_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,1167.000000000000000000000000000000,5000,4111,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23,4
422,422_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1234.000000000000000000000000000000,4677,1358,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24,4
423,423_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1355.000000000000000000000000000000,1,1293,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,78,4
424,424_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1433.000000000000000000000000000000,3809,3408,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,79,4
425,425_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1192.000000000000000000000000000000,1,1718,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
426,426_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1056.000000000000000000000000000000,5000,4444,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34,4
427,427_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1208.000000000000000000000000000000,5000,890,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37,4
428,428_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1358.000000000000000000000000000000,4819,2876,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41,4
429,429_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1149.000000000000000000000000000000,1,1350,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
430,430_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,880.000000000000000000000000000000,4592,1793,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,60,4
431,431_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1243.000000000000000000000000000000,1,1604,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
432,432_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1178.000000000000000000000000000000,1,2371,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,4
433,433_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1191.000000000000000000000000000000,3208,2901,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,4
434,434_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1191.000000000000000000000000000000,4617,3270,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,4
435,435_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1458.000000000000000000000000000000,1,1926,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,63,4
436,436_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1309.000000000000000000000000000000,443,3634,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25,4
437,437_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1128.000000000000000000000000000000,1,4318,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28,4
438,438_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1047.000000000000000000000000000000,818,3362,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,55,4
439,439_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1148.000000000000000000000000000000,1,2818,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,22,4
440,440_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1119.000000000000000000000000000000,4704,2979,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,60,4
441,441_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1058.000000000000000000000000000000,474,3080,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25,4
442,442_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1282.000000000000000000000000000000,3711,3784,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,60,4
443,443_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1203.000000000000000000000000000000,4355,3344,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43,4
444,444_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1087.000000000000000000000000000000,3207,3748,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,38,4
445,445_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1118.000000000000000000000000000000,3247,1996,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25,4
446,446_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1073.000000000000000000000000000000,145,2768,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,4
447,447_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,923.000000000000000000000000000000,3646,1472,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,64,4
448,448_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,865.000000000000000000000000000000,4626,1597,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15,4
449,449_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1205.000000000000000000000000000000,201,3745,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74,4
450,450_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1300.000000000000000000000000000000,2015,4418,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,4
451,451_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1646.000000000000000000000000000000,4319,1462,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,7,4
452,452_0,FAILED,BoTorch,BOTORCH_MODULAR,,,214,719,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,91,4
453,453_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1329.000000000000000000000000000000,4762,4167,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86,4
454,454_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,1248.000000000000000000000000000000,764,4360,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17,4
455,455_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1131.000000000000000000000000000000,984,2722,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,26,4
456,456_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1181.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
457,457_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1188.000000000000000000000000000000,3161,894,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,8,4
458,458_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1066.000000000000000000000000000000,306,3536,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37,4
459,459_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1256.000000000000000000000000000000,2482,4348,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31,4
460,460_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,1219.000000000000000000000000000000,743,3540,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34,4
461,461_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1309.000000000000000000000000000000,3976,3618,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,37,4
462,462_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1306.000000000000000000000000000000,1192,3643,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,51,4
463,463_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1241.000000000000000000000000000000,4378,4571,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19,4
464,464_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1355.000000000000000000000000000000,1,767,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,4
465,465_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1102.000000000000000000000000000000,79,3509,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,65,4
466,466_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1363.000000000000000000000000000000,1,663,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,4,4
467,467_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,948.000000000000000000000000000000,3676,3404,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
468,468_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.440000000000000002220446049250,1118.000000000000000000000000000000,5000,4819,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
469,469_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1404.000000000000000000000000000000,130,1374,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.714708120814922409635983058251,46,4
470,470_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,795.000000000000000000000000000000,1395,2874,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29,4
471,471_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,1348.000000000000000000000000000000,5000,2329,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
472,472_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,1061.000000000000000000000000000000,3238,2415,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
473,473_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1486.000000000000000000000000000000,571,2264,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
474,474_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1073.000000000000000000000000000000,2129,2225,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62,4
475,475_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1571.000000000000000000000000000000,4863,2749,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.408187472074854285075673487881,1,4
476,476_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1417.000000000000000000000000000000,1,639,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
477,477_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,836.000000000000000000000000000000,462,2714,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15,4
478,478_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,812.000000000000000000000000000000,1,4586,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.617950224435142581036473075073,1,4
479,479_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,863.000000000000000000000000000000,5000,1684,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,4
480,480_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1158.000000000000000000000000000000,5000,953,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,68,4
481,481_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1036.000000000000000000000000000000,1000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27,4
482,482_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1255.000000000000000000000000000000,4811,1252,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,80,4
483,483_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1213.000000000000000000000000000000,4807,2532,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,47,4
484,484_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1169.000000000000000000000000000000,3053,1250,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,77,4
485,485_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,258,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
486,486_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1117.000000000000000000000000000000,5000,2388,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49,4
487,487_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1383,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1057.000000000000000000000000000000,3963,4342,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35,4
489,489_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,1208.000000000000000000000000000000,3498,1613,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,54,4
490,490_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1163.000000000000000000000000000000,911,1219,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
491,491_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1307.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
492,492_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1358.000000000000000000000000000000,1163,1751,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,27,4
493,493_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1267.000000000000000000000000000000,5000,965,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,4
494,494_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1185.000000000000000000000000000000,182,1796,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,28,4
495,495_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1392.000000000000000000000000000000,49,874,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16,4
496,496_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1506.000000000000000000000000000000,5000,1489,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,89,4
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1313.000000000000000000000000000000,4274,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,80,4
498,498_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1071.000000000000000000000000000000,1,4514,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,56,4
499,499_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,1165.000000000000000000000000000000,3889,2979,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73,4
500,500_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1120.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28,4
501,501_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1121.000000000000000000000000000000,2071,4775,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,4
502,502_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,858.000000000000000000000000000000,2412,683,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,35,4
503,503_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,1400.000000000000000000000000000000,2479,2141,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38,4
504,504_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1488.000000000000000000000000000000,1,772,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42,4
505,505_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1064.000000000000000000000000000000,133,2485,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,4
506,506_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1114.000000000000000000000000000000,5000,4451,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1279.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,9,4
508,508_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1087.000000000000000000000000000000,2829,4954,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58,4
509,509_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3772,4284,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1510.000000000000000000000000000000,5000,1912,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64,4
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,1105.000000000000000000000000000000,34,3381,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1240.000000000000000000000000000000,5000,526,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,3,4
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1168.000000000000000000000000000000,1892,3447,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1321.000000000000000000000000000000,1,3030,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1249.000000000000000000000000000000,1,3401,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1037.000000000000000000000000000000,1,4421,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.936995450467001056438220985001,100,4
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1076.000000000000000000000000000000,1,4784,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,88,4
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1036.000000000000000000000000000000,131,1251,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.556374907800425755333151300874,31,4
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1356.000000000000000000000000000000,830,1028,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.344365390831660289627791371458,39,4
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1257.000000000000000000000000000000,1,3861,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75,4
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1135.000000000000000000000000000000,4910,1227,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,4
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,1360.000000000000000000000000000000,1,1847,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,52,4
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1317.000000000000000000000000000000,1,857,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,51,4
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1148.000000000000000000000000000000,1732,4779,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1268.000000000000000000000000000000,1098,954,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,51,4
526,526_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1117.000000000000000000000000000000,1026,529,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,29,4
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.440000000000000002220446049250,1415.000000000000000000000000000000,5000,3382,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,77,4
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1418.000000000000000000000000000000,5000,774,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,4
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1152.000000000000000000000000000000,5000,950,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,48,4
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,1324.000000000000000000000000000000,80,3896,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,4
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1040.000000000000000000000000000000,3736,4451,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11,4
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1317.000000000000000000000000000000,4655,1779,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.519395024682642536539844968502,37,4
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1293.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.638913036821212143578918585263,100,4
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1120.000000000000000000000000000000,2451,3844,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37,4
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1778.000000000000000000000000000000,2622,333,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1009.000000000000000000000000000000,5000,4089,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43,4
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.500000000000000000000000000000,1244.000000000000000000000000000000,4775,3963,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,47,4
538,538_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,354,1375,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,4
539,539_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3663,2482,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,4
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
⚠ Job 4561273 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561273/4561273_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_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561273/4561273_0_log.out
----------------------------------------
submitit INFO (2025-04-18 23:42:02,926) - Starting with JobEnvironment(job_id=4561273, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 23:42:02,929) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561273/4561273_submitted.pkl
slurmstepd: error: *** JOB 4561273 ON i7173 CANCELLED AT 2025-04-19T00:12:25 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561273/4561273_0_log.err not found


⚠ Job 4574277 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574277/4574277_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_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574277/4574277_0_log.out
----------------------------------------
submitit INFO (2025-04-19 04:19:08,215) - Starting with JobEnvironment(job_id=4574277, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 04:19:08,217) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574277/4574277_submitted.pkl
slurmstepd: error: *** JOB 4574277 ON i7173 CANCELLED AT 2025-04-19T04:49:35 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574277/4574277_0_log.err not found


⚠ Job 4585519 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585519/4585519_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_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585519/4585519_0_log.out
----------------------------------------
submitit INFO (2025-04-19 09:04:54,686) - Starting with JobEnvironment(job_id=4585519, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 09:04:54,703) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585519/4585519_submitted.pkl
slurmstepd: error: *** JOB 4585519 ON i7180 CANCELLED AT 2025-04-19T09:35:14 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585519/4585519_0_log.err not found


⚠ Job 4586119 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586119/4586119_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_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586119/4586119_0_log.out
----------------------------------------
submitit INFO (2025-04-19 09:23:13,011) - Starting with JobEnvironment(job_id=4586119, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 09:23:13,015) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586119/4586119_submitted.pkl
slurmstepd: error: *** JOB 4586119 ON i7185 CANCELLED AT 2025-04-19T09:53:16 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586119/4586119_0_log.err not found


⚠ Job 4594146 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4594146/4594146_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_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4594146/4594146_0_log.out
----------------------------------------
submitit INFO (2025-04-19 13:28:36,926) - Starting with JobEnvironment(job_id=4594146, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 13:28:36,929) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4594146/4594146_submitted.pkl
slurmstepd: error: *** JOB 4594146 ON i7185 CANCELLED AT 2025-04-19T13:58:53 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4594146/4594146_0_log.err not found

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
			
			<h1>&nbsp;Args Overview</h1>
			<h2>Arguments Overview:                                                                               </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value                                                                                                                             </th></tr></thead><tbody><tr><td> config_yaml</td><td>None                                                                                                                              </td></tr><tr><td> config_toml</td><td>None                                                                                                                              </td></tr><tr><td> config_json</td><td>None                                                                                                                              </td></tr><tr><td> num_random_steps</td><td>20                                                                                                                                </td></tr><tr><td> max_eval</td><td>None                                                                                                                              </td></tr><tr><td> run_program</td><td>None                                                                                                                              </td></tr><tr><td> experiment_name</td><td>None                                                                                                                              </td></tr><tr><td> mem_gb</td><td>1                                                                                                                                 </td></tr><tr><td> parameter</td><td>None                                                                                                                              </td></tr><tr><td> continue_previous_job</td><td>/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0 </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                              </td></tr><tr><td> run_dir</td><td>runs                                                                                                                              </td></tr><tr><td> seed</td><td>None                                                                                                                              </td></tr><tr><td> decimalrounding</td><td>4                                                                                                                                 </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                             </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                             </td></tr><tr><td> model</td><td>None                                                                                                                              </td></tr><tr><td> gridsearch</td><td>False                                                                                                                             </td></tr><tr><td> occ</td><td>False                                                                                                                             </td></tr><tr><td> show_sixel_scatter</td><td>False                                                                                                                             </td></tr><tr><td> show_sixel_general</td><td>False                                                                                                                             </td></tr><tr><td> show_sixel_trial_index_result</td><td>False                                                                                                                             </td></tr><tr><td> follow</td><td>False                                                                                                                             </td></tr><tr><td> send_anonymized_usage_stats</td><td>False                                                                                                                             </td></tr><tr><td> ui_url</td><td>None                                                                                                                              </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                                    </td></tr><tr><td> exclude</td><td>None                                                                                                                              </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                                 </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                                 </td></tr><tr><td> max_nr_of_zero_results</td><td>10                                                                                                                                </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                             </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                              </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                             </td></tr><tr><td> live_share</td><td>False                                                                                                                             </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                             </td></tr><tr><td> workdir</td><td>False                                                                                                                             </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                            </td></tr><tr><td> result_names</td><td>[&#039;RESULT=min&#039;]                                                                                                                    </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                                 </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                              </td></tr><tr><td> generate_all_jobs_at_once</td><td>False                                                                                                                             </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                              </td></tr><tr><td> load_data_from_existing_jobs</td><td>[]                                                                                                                                </td></tr><tr><td> n_estimators_randomforest</td><td>100                                                                                                                               </td></tr><tr><td> external_generator</td><td>None                                                                                                                              </td></tr><tr><td> username</td><td>None                                                                                                                              </td></tr><tr><td> max_failed_jobs</td><td>None                                                                                                                              </td></tr><tr><td> num_parallel_jobs</td><td>20                                                                                                                                </td></tr><tr><td> worker_timeout</td><td>30                                                                                                                                </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                             </td></tr><tr><td> time</td><td></td></tr><tr><td> partition</td><td></td></tr><tr><td> reservation</td><td>None                                                                                                                              </td></tr><tr><td> force_local_execution</td><td>False                                                                                                                             </td></tr><tr><td> slurm_signal_delay_s</td><td>0                                                                                                                                 </td></tr><tr><td> nodes_per_job</td><td>1                                                                                                                                 </td></tr><tr><td> cpus_per_task</td><td>1                                                                                                                                 </td></tr><tr><td> account</td><td>None                                                                                                                              </td></tr><tr><td> gpus</td><td>0                                                                                                                                 </td></tr><tr><td> run_mode</td><td>local                                                                                                                             </td></tr><tr><td> verbose</td><td>False                                                                                                                             </td></tr><tr><td> verbose_break_run_search_table</td><td>False                                                                                                                             </td></tr><tr><td> debug</td><td>False                                                                                                                             </td></tr><tr><td> no_sleep</td><td>False                                                                                                                             </td></tr><tr><td> tests</td><td>False                                                                                                                             </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False                                                                                                                             </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False                                                                                                                             </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False                                                                                                                             </td></tr><tr><td> raise_in_eval</td><td>False                                                                                                                             </td></tr><tr><td> show_ram_every_n_seconds</td><td>False                                                                                                                             </td></tr></tbody></table>
			<h1>&nbsp;Worker-Usage</h1>
			<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
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1745082193.7536218,20,3,15
1745082204.1623461,20,2,10
1745082204.271254,20,2,10
1745083035.9045095,20,2,10
1745083036.1394334,20,2,10
1745083037.4841964,20,3,15
1745083046.9755127,20,3,15
1745083764.451406,20,3,15
1745083766.8927255,20,3,15
1745083768.3612826,20,4,20
1745083768.853045,20,4,20
1745083772.6863196,20,3,15
1745083782.6665347,20,2,10
1745083782.716783,20,2,10
1745084388.1380372,20,2,10
1745084388.365775,20,2,10
1745084390.015292,20,3,15
1745084390.4916835,20,3,15
1745084401.0419612,20,2,10
1745084401.2016919,20,2,10
</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
1744998425,636.44140625,25.5
1744998425,636.44921875,47.8
1744998425,636.44921875,44.1
1744998425,636.44921875,49.2
1744998425,636.44921875,56.2
1744998425,636.44921875,48.6
1744998425,636.44921875,62.5
1744998964,690.8515625,27.0
1744998964,690.8515625,46.8
1744998964,690.8515625,43.4
1744998964,690.8515625,39.6
1745007157,868.921875,34.4
1745007157,868.921875,8.9
1745007158,868.921875,8.9
1745007158,868.921875,9.5
1745015383,873.25,8.7
1745015383,873.25,9.3
1745015383,873.25,8.9
1745015383,873.25,8.5
1745025570,873.6953125,9.0
1745025570,873.6953125,7.6
1745025570,873.6953125,8.3
1745025570,873.6953125,12.5
1745031724,943.65625,8.9
1745031724,943.65625,8.6
1745031724,943.65625,9.0
1745031724,943.65625,9.1
1745041971,953.52734375,9.0
1745041971,953.52734375,8.2
1745041971,953.52734375,8.3
1745041971,953.52734375,7.3
1745054587,910.83203125,8.8
1745054587,910.83203125,8.5
1745054587,910.83203125,8.5
1745054587,910.83203125,8.5
1745067877,936.53125,8.8
1745067877,936.53125,8.2
1745067877,936.53125,7.9
1745067877,936.53125,9.4
1745084409,966.546875,8.8
1745084409,966.546875,8.9
1745084409,966.546875,8.3
1745084409,966.546875,5.9
</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>
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