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_0,0.680000000000000048849813083507,12.000000000000000000000000000000,3980,4500,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.988614318847656270428103653103,88,6
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,1768,289,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.054879125589504841598031958938,13,6
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,459,3574,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.297510198287665839078641738524,53,6
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,2623,1844,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.735991458961740119271155435854,48,6
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,15.000000000000000000000000000000,3146,2550,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.780585922112688401774960311741,72,6
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,942,2073,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.217343452151864763299826677212,30,6
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,15.000000000000000000000000000000,2458,4105,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.463507545178756141801557077997,82,6
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,4629,1148,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.523942978870123643453382555890,19,6
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,4824,3355,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.648475815204903494048949141870,63,6
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,2028,1315,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.338487292621284741045428745565,38,6
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,825,4911,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.091836041761562223206816213406,78,6
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,3654,391,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.904631544847041335621895541408,23,6
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,17.000000000000000000000000000000,3052,4046,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.611998776406049715959056811698,96,6
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,264,773,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.422964906441047783225428702281,4,6
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,1260,3120,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.179846434250473974358897066850,57,6
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,4097,2327,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.864134184749796974145397143729,44,6
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,4255,2906,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.387576555211097018016630499915,8,6
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,1425,2429,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.576728922022506584887935332517,93,6
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,100,3837,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.821431013617664573800425387162,47,6
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,2894,879,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.137268422333523626432949527043,54,6
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,3504,4690,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.349999156685546042311329983932,28,6
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,17.000000000000000000000000000000,672,480,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.659870134189724955042777310155,72,6
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,2181,3139,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.908836203144863241654149987880,14,6
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,22.000000000000000000000000000000,4973,1410,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.095914589077234269076654982200,87,6
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,4466,4246,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.220935179958119981558084532480,33,6
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,17.000000000000000000000000000000,2298,973,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.784302805416285941930709668668,68,6
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,1102,2695,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.535824135953560487521940558509,22,6
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,3309,1903,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.475507195390760917241834704328,79,6
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,2777,3702,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.011814275573939086311225921122,3,6
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,31.000000000000000000000000000000,607,1662,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.945423357849940693142798409099,98,6
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,531,3943,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43,6
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,41,6
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1518,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43,6
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,73,86,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,6
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,29.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
37,37_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,83,6
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55,6
39,39_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43,6
40,40_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
43,43_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,67,6
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,30.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,1,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,89,6
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,53,6
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,63,6
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,381,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36,6
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,598,92,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64,6
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,633,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,6
53,53_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43,6
54,54_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39,6
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,22.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.880921601797440501080416197510,3,6
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
80,80_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
81,81_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
85,85_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
86,86_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,162,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62,6
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,16,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,22,6
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,50.000000000000000000000000000000,5000,39,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62,6
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4686,118,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62,6
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62,6
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,415,623,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,8,6
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,937,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,4,6
97,97_0,FAILED,BoTorch,GenerationStep_1,,,4952,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,6
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1234,348,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62,6
99,99_0,FAILED,BoTorch,GenerationStep_1,,,3690,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,91,6
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,552,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,10,6
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,3288,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,12,6
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,18.000000000000000000000000000000,1,89,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26,6
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,887,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,34.000000000000000000000000000000,4474,520,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,94,6
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,444,4849,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,97,6
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4427,165,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,93,6
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,4340,424,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,95,6
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,4546,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4821,599,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,6,6
110,110_0,FAILED,BoTorch,GenerationStep_1,,,1842,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,87,6
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4104,473,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62,6
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17,6
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,21,310,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,13,6
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,3323,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
115,115_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44,6
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,1152,417,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,94,6
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,240,525,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,6
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4109,56,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,6
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,1,3162,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,234,586,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,4,6
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4916,245,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,90,6
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,604,428,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,6,6
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3098,4991,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,25,6
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4552,4934,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24,6
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,190,271,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,98,6
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1579,193,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,67,6
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,669,4880,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,68,6
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,3722,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,29.000000000000000000000000000000,1,185,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,94,6
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,4958,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,68,6
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,744,4925,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,24,6
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,334,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,4842,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,337,3972,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,52,6
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1390,262,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,91,6
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,400,4880,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21,6
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,18.000000000000000000000000000000,1840,439,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,3,6
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,925,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,4505,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31,6
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,532,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,901,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11,6
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,1,2418,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,39.000000000000000000000000000000,5000,233,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1603,4996,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64,6
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4340,3977,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,53,6
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1251,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31,6
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,1188,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,271,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40,6
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,4519,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4973,421,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12,6
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,484,3947,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47,6
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,3239,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,6
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,97,435,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11,6
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,3932,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,48,6
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,145,434,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,11,6
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4781,709,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,13,6
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3384,433,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,12,6
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,560,4709,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,86,6
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3497,481,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,22,6
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,35.000000000000000000000000000000,1,952,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4574,444,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,8,6
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,2252,410,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,13,6
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,298,446,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,15,6
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,437,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17,6
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3457,4742,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,80,6
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,22.000000000000000000000000000000,1,1075,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4802,4005,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,47,6
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4614,3937,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48,6
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,3528,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4455,4633,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,98,6
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4944,4684,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73,6
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1130,4603,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,77,6
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,4080,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,6
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,28,6
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,4047,4674,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,91,6
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1700,4335,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,5000,815,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,54,6
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4570,1379,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,28,6
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,65.000000000000000000000000000000,519,864,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1653,188,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,22,6
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,210,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,47,6
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,4998,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,47,6
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4421,4942,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57,6
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,1036,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,934,201,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,6
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4106,176,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,6
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,3314,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1218,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27,6
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,39,436,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35,6
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,2390,1013,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4390,488,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,40,6
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,4913,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,50,6
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1495,417,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,6
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1300,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11,6
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,4425,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,13,6
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1184,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12,6
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1287,4899,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,56,6
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4614,221,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,26,6
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,342,1523,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,781,4436,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1125,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,16,6
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,1938,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32,6
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,655,4868,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,6
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2375,1028,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,92,6
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,4432,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,6
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,4576,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17,6
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,272,1109,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33,6
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4927,1433,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,11,6
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,4505,3552,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1195,364,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23,6
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,3419,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,26,6
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1665,353,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,6
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,1992,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,56,6
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,4256,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29,6
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,3416,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25,6
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4630,1334,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,7,6
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,4281,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44,6
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,100,3177,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27,6
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,1346,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,6
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,187,4313,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,55,6
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,18.000000000000000000000000000000,2417,4361,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3261,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20,6
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,31.000000000000000000000000000000,1722,2019,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3433,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4915,2984,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48,6
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1152,4168,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,4,6
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,2524,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62,6
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,91,2054,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1184,3973,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11,6
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,4425,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62,6
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,462,2888,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,38,6
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,884,4224,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,6
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,2231,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,4263,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62,6
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3528,3038,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31,6
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,4116,4302,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,88,6
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3598,3111,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26,6
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4710,2608,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,85,6
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2321,3828,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,75,6
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4707,4700,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,6
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,868,4809,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43,6
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4729,2217,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,4133,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,4099,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3986,660,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,53,6
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,18.000000000000000000000000000000,4246,2162,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,3,6
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1265,2074,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,1,2729,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,603,1034,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,72,6
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,1829,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,37,6
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,67,3925,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4838,2542,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,3500,3308,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46,6
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,2139,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,6
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,2452,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23,6
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4448,3643,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,25,6
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4503,2826,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39,6
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4920,3063,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57,6
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,167,1747,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,40,6
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4631,2833,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,58,6
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,577,1700,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25,6
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,1530,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36,6
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,458,1852,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,2270,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,23,6
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,403,1203,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,65,6
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,1803,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26,6
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,1831,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36,6
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4755,2154,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,6
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3945,3679,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,98,6
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,274,3892,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29,6
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1956,209,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44,6
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4488,3938,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24,6
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,1178,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3951,236,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49,6
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,1608,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,1214,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,281,3007,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40,6
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,3887,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,22,6
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,4840,1287,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,52,6
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4437,1517,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,6
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1962,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1221,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3011,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,36,6
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3408,4007,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21,6
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,1418,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,52,6
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,3003,2502,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,317,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3278,675,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27,6
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,2870,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,91,6
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,1153,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,104,3987,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22,6
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2504,4511,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34,6
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1939,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,6
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3211,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,3683,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,66,6
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,2173,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40,6
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,1,525,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,509,1529,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,39,6
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4900,3710,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.465152832627159562584040486399,71,6
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1697,2794,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2361,3036,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,81,6
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,2636,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,43,6
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4403,267,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,73,6
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,520,2394,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,6
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,753,278,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75,6
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,75,2758,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62,6
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4528,2791,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,75,6
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,2833,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,4009,613,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29,6
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,2123,2812,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,74,6
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,247,2770,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75,6
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3013,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,213,3180,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4448,3248,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,3982,2560,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,6
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3953,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1143,2779,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,64,6
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,385,2705,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,6
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4202,4136,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,2870,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,553,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1155,3743,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39,6
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,5000,2883,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,69,6
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,3419,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,65,6
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,955,2575,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,28,6
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,2776,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,815,2785,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,94,6
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,866,695,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,6
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,632,3535,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,78,6
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3221,2923,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20,6
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4428,3235,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44,6
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,476,3267,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,74,6
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,2930,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20,6
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,1090,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4317,2901,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20,6
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,914,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,35,6
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,661,2306,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,10,6
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4873,601,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,75,6
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3991,3269,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,78,6
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3617,270,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,6
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,43.000000000000000000000000000000,5000,1223,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,4920,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,40,6
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4840,2271,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,6
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,309,226,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19,6
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4973,3480,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,302,4767,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,25,6
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1,3785,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2231,3257,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,49,6
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,146,722,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75,6
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,945,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,6
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,42.000000000000000000000000000000,5000,1198,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,4237,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3490,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49,6
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,40.000000000000000000000000000000,5000,1195,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4423,2390,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16,6
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,262,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28,6
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4660,655,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,74,6
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,9,365,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.078635009506295205916615032038,48,6
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,23.000000000000000000000000000000,851,3772,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,1851,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,806,428,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86,6
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,3911,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3277,3160,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43,6
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,3903,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,1448,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,5000,1850,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4159,878,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37,6
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,4479,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,41,6
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4739,4849,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,71,6
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4940,3160,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44,6
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3803,3495,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,33,6
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4812,3509,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,9,6
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3220,3500,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,6
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,547,435,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,94,6
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,5000,728,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,4359,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21,6
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3936,1839,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,15,6
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,3413,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,1445,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4545,439,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,97,6
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,3844,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,843,3165,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,52,6
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,4465,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,52,6
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4886,4459,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,6
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,1,3944,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,956,3162,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,49,6
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3867,1441,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,50,6
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,1395,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,4562,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4472,1341,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,76,6
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2756,3841,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27,6
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,4083,782,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,43,6
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,4733,1698,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38,6
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1329,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,79,6
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1446,792,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38,6
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,5000,784,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43,6
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,5000,4737,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,2358,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,3965,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,6
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4877,770,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,50,6
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2718,3829,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,16,6
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4088,4371,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,79,6
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,4383,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,79,6
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1073,4230,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,59,6
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,1,4740,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3290,2230,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32,6
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4351,3907,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27,6
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4844,4369,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33,6
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3353,3565,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,4328,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3884,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,6
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2428,3854,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,58,6
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,4041,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,81,6
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2855,4571,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55,6
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,293,2689,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,50,6
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4352,2095,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4574,4189,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,81,6
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,436,1321,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,69,6
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,2329,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38,6
420,420_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,18.000000000000000000000000000000,4661,2808,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.837919924616813638351686677197,64,6
421,421_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,1372,1796,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.007346898920834064525275941548,27,6
422,422_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,20.000000000000000000000000000000,596,4451,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.298780613861978072698377673078,92,6
423,423_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,3572,1085,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.606916845494881229683414858300,4,6
424,424_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,17.000000000000000000000000000000,2815,4133,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.929910917934030245568521877431,77,6
425,425_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,12.000000000000000000000000000000,1108,153,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.224332030689343819851444550295,16,6
426,426_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,1895,3749,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.455337599834427231293432214443,57,6
427,427_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,16.000000000000000000000000000000,3914,2103,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.638480638276785583684613811783,43,6
428,428_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,22.000000000000000000000000000000,4095,4913,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.523035350095480633392241998081,84,6
429,429_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,17.000000000000000000000000000000,2368,935,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.324177211364731210352374546346,22,6
430,430_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,18.000000000000000000000000000000,654,2967,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.122408495819196105891535353294,63,6
431,431_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,16.000000000000000000000000000000,2693,1323,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.781328435119241437867287913832,50,6
432,432_0,FAILED,Sobol,SOBOL,,,3421,3275,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.737835009271278985387709781207,70,6
433,433_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,16.000000000000000000000000000000,151,2265,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.414470030270516875958719538176,33,6
434,434_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,17.000000000000000000000000000000,1875,3981,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.156172558195888988574751010674,98,6
435,435_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,19.000000000000000000000000000000,4832,617,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.939598356256261424412912219850,10,6
436,436_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,16.000000000000000000000000000000,4900,3793,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.375642784189432865638025305088,29,6
437,437_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,26.000000000000000000000000000000,1612,439,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.714769020458683401741950547148,67,6
438,438_0,FAILED,Sobol,SOBOL,,,201,3404,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.978867393231019344845833529689,1,6
439,439_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,21.000000000000000000000000000000,3176,2385,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.179771707531064750540394925338,88,6
440,440_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,2585,3087,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.347726638311520230839590794858,18,6
441,441_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,17.000000000000000000000000000000,879,1453,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.562346034310758136065544476878,81,6
442,442_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,16.000000000000000000000000000000,2281,4734,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.758220338054001352645627775928,41,6
443,443_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,22.000000000000000000000000000000,4299,747,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.083630511114373806691446588957,53,6
444,444_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,17.000000000000000000000000000000,3865,3557,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.201269622156396515988419082532,24,6
445,445_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,27.000000000000000000000000000000,2139,1921,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.891087244696915137254222827323,87,6
446,446_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,19.000000000000000000000000000000,1041,4267,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.662075746320188063265277378378,47,6
447,447_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,41.000000000000000000000000000000,3079,277,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.494602602953091274873287375158,59,6
448,448_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,378,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33,6
449,449_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4328,1606,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,66,6
450,450_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,3096,1528,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,68,6
451,451_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
452,452_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,1597,417,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,6
453,453_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
454,454_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,4784,757,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,91,6
455,455_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,38.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
456,456_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,884,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,6
457,457_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,4420,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,6
458,458_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
459,459_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,1,3618,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
460,460_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
461,461_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
462,462_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,4100,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
463,463_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
464,464_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
465,465_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
466,466_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,41.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
467,85_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
468,468_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,5000,1775,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
469,469_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,3695,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38,6
470,470_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,400,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,79,6
471,471_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4526,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,85,6
472,472_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,25.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
473,473_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
474,474_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
475,463_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
476,476_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
477,477_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,37.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
478,478_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.700482627811994884581281439750,100,6
479,479_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,778,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61,6
480,480_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,4639,2854,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,9,6
481,481_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,5000,3455,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,82,6
482,476_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
483,483_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
484,484_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,22.000000000000000000000000000000,1407,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
485,485_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4389,1340,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,6
486,486_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,42.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
487,487_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1521,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,68,6
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,3520,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,34,6
489,489_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
490,490_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
491,491_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
492,492_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
493,493_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,2050,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
494,494_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4253,1350,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,6
495,495_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
496,496_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,803,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,12,6
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,31.000000000000000000000000000000,5000,649,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,80,6
498,498_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,41,6
499,499_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,434,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
500,500_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,5000,147,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5,6
501,501_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,3555,1050,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73,6
502,502_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1,2497,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57,6
503,503_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,48,6
504,504_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,417,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75,6
505,505_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,4631,408,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23,6
506,506_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,3548,1996,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,14,6
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,3224,2576,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
508,508_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,47,451,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28,6
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,1,3259,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,41.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
511,511_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16,6
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,128,4918,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,6
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,373,3282,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,48,6
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,3554,861,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46,6
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,3756,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,61,6
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,4708,1794,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,61,6
517,464_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,36.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,31.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,1,467,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,6
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,4946,636,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17,6
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31,6
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,1,2363,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4962,2688,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,79,6
526,526_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,2502,4509,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48,6
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,6
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,4669,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.424438150545924597345504025725,27,6
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,1922,4013,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62,6
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,93,3135,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.904961627198023088602951702342,100,6
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1392,3993,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,32,6
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,33.000000000000000000000000000000,1,4022,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1563,4517,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62,6
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,27.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,4525,4657,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,45,6
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,439,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,3244,4291,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,6
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,147,3080,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,3313,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,87,6
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,2772,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,57,6
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,236,735,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,87,6
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,664,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,87,6
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,2765,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30,6
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4865,2896,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34,6
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1,4640,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44,6
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1893,3761,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,88,6
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,4910,1418,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20,6
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,3755,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,23,6
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,4703,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,6
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,98,1992,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,10,6
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,229,4354,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,6
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,1,2282,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,13,870,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,59,6
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,3410,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,52,6
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,781,1359,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35,6
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,3857,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64,6
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,3411,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70,6
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,4014,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,35,6
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1249,1656,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33,6
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,5000,421,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,75,6
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,1453,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,85,6
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,3352,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72,6
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,266.000000000000000000000000000000,2482,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26,6
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,12.000000000000000000000000000000,1,4563,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,115.000000000000000000000000000000,2319,114,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,90,6
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,40.000000000000000000000000000000,2329,757,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,88,6
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,35.000000000000000000000000000000,2250,1411,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,98,6
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,25.000000000000000000000000000000,2227,1514,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,77,6
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,56.000000000000000000000000000000,3398,491,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,95,6
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,39.000000000000000000000000000000,3394,435,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,675,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,50,6
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,27.000000000000000000000000000000,2547,1144,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,32.000000000000000000000000000000,2411,838,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,59,6
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,677,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,48,6
575,575_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3675,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
576,576_0,FAILED,BoTorch,BOTORCH_MODULAR,,,690,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48,6
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,1968,1360,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20,6
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,2753,1446,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27,6
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,2966,831,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,959,680,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,58.000000000000000000000000000000,1577,1114,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
582,582_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4292,4612,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6

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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
1744998117,1744998161,44,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1108 feature_id 6 batch_size 153 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.22433203068934382 subsets 16,1108,153,str\(\'H\'\),1,str\(\'tstat\'\),0.22433203068934382,16,6,0.68,12,0,None,i7172,12,525.36328125,522.0009765625,-1,0.1609629308744353,4545820
1744998116,1744998175,59,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1372 feature_id 6 batch_size 1796 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.0073468989208340645 subsets 27,1372,1796,str\(\'KL\'\),2,str\(\'tstat\'\),0.0073468989208340645,27,6,0.68,14,0,None,i7174,14,524.78515625,524.5107421875,-1,0.11114549167646513,4545619
1744998115,1744998176,61,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3572 feature_id 6 batch_size 1085 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.6069168454948812 subsets 4,3572,1085,str\(\'KL\'\),3,str\(\'stdev\'\),0.6069168454948812,4,6,0.68,15,0,None,i7173,15,525.3671875,525.1923828125,-1,0.07772758215236092,4545713
1744998116,1744998181,65,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 596 feature_id 6 batch_size 4451 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.2987806138619781 subsets 92,596,4451,str\(\'H\'\),1,str\(\'tstat\'\),0.2987806138619781,92,6,0.68,20,0,None,i7174,20,524.51953125,524.314453125,-1,0.27545021350331084,4545662
1744998115,1744998182,67,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2815 feature_id 6 batch_size 4133 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.9299109179340302 subsets 77,2815,4133,str\(\'KL\'\),3,str\(\'stdev\'\),0.9299109179340302,77,6,0.68,17,0,None,i7173,17,524.140625,524.0166015625,-1,0.2557707778946717,4545756
1744998116,1744998182,66,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4661 feature_id 6 batch_size 2808 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8379199246168136 subsets 64,4661,2808,str\(\'H\'\),1,str\(\'stdev\'\),0.8379199246168136,64,6,0.68,18,0,None,i7174,18,525.19140625,525.08984375,-1,0.1737731295253419,4545586
1744998160,1744998187,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1895 feature_id 6 batch_size 3749 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.45533759983442723 subsets 57,1895,3749,str\(\'KL\'\),3,str\(\'tstat\'\),0.45533759983442723,57,6,0.68,14,0,None,i7177,14,524.6953125,524.5322265625,-1,0.23200693112197537,4545871
1744998222,1744998248,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3914 feature_id 6 batch_size 2103 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6384806382767856 subsets 43,3914,2103,str\(\'H\'\),2,str\(\'stdev\'\),0.6384806382767856,43,6,0.68,16,0,None,i7177,16,525.32421875,524.953125,-1,0.26028838418218947,4545932
1744998299,1744998339,40,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4095 feature_id 6 batch_size 4913 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5230353500954806 subsets 84,4095,4913,str\(\'KL\'\),1,str\(\'tstat\'\),0.5230353500954806,84,6,0.68,22,0,None,i7185,22,520.87890625,512.7375,-1,0.3040410916517111,4545989
1744998360,1744998386,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2368 feature_id 6 batch_size 935 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.3241772113647312 subsets 22,2368,935,str\(\'H\'\),3,str\(\'stdev\'\),0.3241772113647312,22,6,0.68,17,0,None,i7180,17,524.42578125,524.2939453125,-1,0.2893124574540504,4546046
1744998382,1744998414,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 654 feature_id 6 batch_size 2967 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.1224084958191961 subsets 63,654,2967,str\(\'KL\'\),2,str\(\'stdev\'\),0.1224084958191961,63,6,0.68,18,0,None,i7175,18,524.57421875,524.3447265625,-1,0.367225694659323,4546119
1744998388,1744998421,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2693 feature_id 6 batch_size 1323 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7813284351192414 subsets 50,2693,1323,str\(\'H\'\),3,str\(\'tstat\'\),0.7813284351192414,50,6,0.68,16,0,None,i7174,16,526.19921875,526.0341796875,-1,0.2856612414134538,4546213
1744998392,1744998437,45,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 151 feature_id 6 batch_size 2265 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4144700302705169 subsets 33,151,2265,str\(\'KL\'\),1,str\(\'stdev\'\),0.4144700302705169,33,6,0.68,16,0,None,i7173,16,525.5859375,525.4443359375,-1,0.140169564948326,4546323
1744998395,1744998440,45,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1875 feature_id 6 batch_size 3981 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.156172558195889 subsets 98,1875,3981,str\(\'H\'\),3,str\(\'stdev\'\),0.156172558195889,98,6,0.68,17,0,None,i7173,17,522.91796875,522.7822265625,-1,0.24636425521381275,4546374
1744998408,1744998454,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4900 feature_id 6 batch_size 3793 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.37564278418943287 subsets 29,4900,3793,str\(\'H\'\),3,str\(\'stdev\'\),0.37564278418943287,29,6,0.68,16,0,None,i7172,16,525.73828125,525.57421875,-1,0.2347298718980135,4546477
1744998408,1744998460,52,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4832 feature_id 6 batch_size 617 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9395983562562614 subsets 10,4832,617,str\(\'KL\'\),1,str\(\'tstat\'\),0.9395983562562614,10,6,0.68,19,0,None,i7172,19,524.9609375,524.791015625,-1,0.34364750293953833,4546424
1744998432,1744998465,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3176 feature_id 6 batch_size 2385 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.17977170753106475 subsets 88,3176,2385,str\(\'KL\'\),1,str\(\'stdev\'\),0.17977170753106475,88,6,0.68,21,0,None,i7176,21,525.6796875,525.58125,-1,0.1475957670647936,4546661
1744998411,1744998488,77,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1612 feature_id 6 batch_size 439 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7147690204586834 subsets 67,1612,439,str\(\'KL\'\),2,str\(\'tstat\'\),0.7147690204586834,67,6,0.68,26,0,None,i7171,26,525.20703125,524.7828125,-1,0.21734018194195184,4546532
1744999883,1744999910,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2585 feature_id 6 batch_size 3087 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.34772663831152023 subsets 18,2585,3087,str\(\'KL\'\),1,str\(\'stdev\'\),0.34772663831152023,18,6,0.68,15,0,None,i7172,15,526.44921875,526.3232421875,-1,0.1910390494461291,4549271
1744999883,1744999916,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 879 feature_id 6 batch_size 1453 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5623460343107581 subsets 81,879,1453,str\(\'H\'\),3,str\(\'tstat\'\),0.5623460343107581,81,6,0.68,17,0,None,i7172,17,525.26953125,525.0703125,-1,0.3258865028776533,4549279
1744999885,1744999918,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2281 feature_id 6 batch_size 4734 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7582203380540014 subsets 41,2281,4734,str\(\'KL\'\),1,str\(\'tstat\'\),0.7582203380540014,41,6,0.68,16,0,None,i7170,16,524.75390625,524.5859375,-1,0.29296367349464697,4549293
1744999885,1744999918,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3865 feature_id 6 batch_size 3557 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.20126962215639652 subsets 24,3865,3557,str\(\'KL\'\),3,str\(\'tstat\'\),0.20126962215639652,24,6,0.68,17,0,None,i7170,17,524.984375,524.7890625,-1,0.2201250077356272,4549326
1744999886,1744999925,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4299 feature_id 6 batch_size 747 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.0836305111143738 subsets 53,4299,747,str\(\'H\'\),2,str\(\'stdev\'\),0.0836305111143738,53,6,0.68,22,0,None,i7170,22,526.140625,525.9625,-1,0.23114054087505415,4549311
1744999903,1744999936,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1041 feature_id 6 batch_size 4267 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6620757463201881 subsets 47,1041,4267,str\(\'KL\'\),2,str\(\'stdev\'\),0.6620757463201881,47,6,0.68,19,0,None,i7173,19,525.45703125,525.232421875,-1,0.26406337025806054,4549361
1744999901,1744999947,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2139 feature_id 6 batch_size 1921 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8910872446969151 subsets 87,2139,1921,str\(\'H\'\),1,str\(\'stdev\'\),0.8910872446969151,87,6,0.68,27,0,None,i7185,27,521.83203125,481.0609375,-1,0.11888111888111888,4549344
1744999933,1744999986,53,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3079 feature_id 6 batch_size 277 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.4946026029530913 subsets 59,3079,277,str\(\'H\'\),2,str\(\'tstat\'\),0.4946026029530913,59,6,0.68,41,0,None,i7180,41,525.51171875,525.3861607142857,-1,0.22284794851166534,4549382
1745000541,1745000568,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 378 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 33,1,378,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,33,6,0.68,15,0,None,i7173,15,525.6953125,525.53125,-1,0.25057243641314436,4549970
1745001241,1745001273,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4328 feature_id 6 batch_size 1606 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 66,4328,1606,str\(\'H\'\),1,str\(\'tstat\'\),0.001,66,6,0.68,19,0,None,i7170,19,524.48046875,524.294921875,-1,0.19877467665078286,4550855
1745001688,1745001727,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3096 feature_id 6 batch_size 1528 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 68,3096,1528,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,68,6,0.68,19,0,None,i7166,19,526.22265625,526.099609375,-1,0.09456030694968748,4551458
1745001961,1745001994,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,6,0.68,18,0,None,i7170,18,525.7734375,525.552734375,-1,0.3094250881861501,4551816
1745002482,1745002522,40,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1597 feature_id 6 batch_size 417 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 31,1597,417,str\(\'H\'\),3,str\(\'tstat\'\),0.001,31,6,0.68,20,0,None,i7185,20,461.27734375,444.9828125,-1,0.18596447799987623,4552249
1745002922,1745002948,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,5000,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,100,6,0.68,15,0,None,i7173,15,525.87890625,525.65625,-1,0.3094250881861501,4552539
1745003466,1745003499,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4784 feature_id 6 batch_size 757 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 91,4784,757,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,91,6,0.68,18,0,None,i7173,18,525.6484375,525.4560546875,-1,0.2810817501082988,4553042
1745003961,1745004014,53,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1,1,str\(\'H\'\),3,str\(\'tstat\'\),0.001,100,6,0.68,38,0,None,i7170,38,526.3359375,526.2259114583334,-1,0.2190729624357943,4553466
1745004402,1745004428,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 884 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 15,1,884,str\(\'H\'\),2,str\(\'tstat\'\),0.001,15,6,0.68,16,0,None,i7170,16,524.4765625,524.2216796875,-1,0.10941271118262269,4553933
1745004903,1745004936,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 4420 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 18,5000,4420,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,18,6,0.68,17,0,None,i7173,17,524.53125,524.3720703125,-1,0.2735317779565567,4554472
1745005304,1745005338,34,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,1,6,0.68,20,0,None,i7180,20,524.49609375,524.3203125,-1,0.3094250881861501,4554814
1745005886,1745005925,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3618 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,3618,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,100,6,0.68,21,0,None,i7166,21,525.09375,525.00078125,-1,0.22389999381149825,4555354
1745006144,1745006177,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,5000,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,1,6,0.68,20,0,None,i7180,20,525.8203125,524.6552734375,-1,0.3094250881861501,4555573
1745006343,1745006370,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,5000,str\(\'H\'\),3,str\(\'stdev\'\),0.999,1,6,0.68,16,0,None,i7173,16,526.1484375,525.9931640625,-1,0.3094250881861501,4555725
1745007003,1745007035,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 4100 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,4100,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,6,0.68,17,0,None,i7169,17,525.109375,524.92578125,-1,0.2537285723126431,4556303
1745007374,1745007401,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,6,None,None,1,None,i7180,,,,,,4556638
1745007766,1745007779,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,6,None,None,1,None,i7168,,,,,,4557027
1745008185,1745008218,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,5000,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,100,6,None,None,1,None,i7185,,,,,,4557428
1745008584,1745008637,53,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,1,6,0.68,41,0,None,i7170,41,524.41015625,524.3231026785714,-1,0.2190729624357943,4557814
1745008924,1745008937,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,6,None,None,1,None,i7180,,,,,,4558121
1745009465,1745009491,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 1775 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,1775,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,100,6,0.68,16,0,None,i7168,16,525.08203125,524.9130859375,-1,0.31567547496751036,4558582
1745009883,1745009909,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 3695 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 38,5000,3695,str\(\'H\'\),1,str\(\'stdev\'\),0.001,38,6,0.68,14,0,None,i7167,14,525.4765625,525.35546875,-1,0.22866514016956496,4558936
1745010345,1745010371,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 400 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 79,1,400,str\(\'H\'\),3,str\(\'tstat\'\),0.001,79,6,0.68,15,0,None,i7168,15,524.5234375,524.3662109375,-1,0.19803205643913607,4559304
1745010866,1745010886,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4526 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 85,4526,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,85,6,None,None,1,None,i7169,,,,,,4559780
1745011336,1745011376,40,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,5000,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,6,0.68,25,0,None,i7168,25,525.95703125,525.81953125,-1,0.3094250881861501,4560241
1745012085,1745012111,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,100,6,None,None,1,None,i7173,,,,,,4560908
1745012471,1745012491,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,6,None,None,1,None,i7185,,,,,,4561228
1745012926,1745012946,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,6,None,None,1,None,i7180,,,,,,4561587
1745013305,1745013325,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,6,None,None,1,None,i7173,,,,,,4561910
1745013706,1745013759,53,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,1,6,0.68,37,0,None,i7169,37,523.14453125,523.0319010416666,-1,0.2190729624357943,4562249
1745014186,1745014212,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7004826278119949 subsets 100,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.7004826278119949,100,6,None,None,1,None,i7185,,,,,,4562659
1745014667,1745014700,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 778 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 61,1,778,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,61,6,0.68,16,0,None,i7185,16,520.97265625,511.2041015625,-1,0.09629308744352992,4563038
1745015406,1745015446,40,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4639 feature_id 6 batch_size 2854 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 9,4639,2854,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,9,6,0.68,18,0,None,i7185,18,455.69140625,431.83984375,-1,0.35323968067330896,4563679
1745015787,1745015820,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 3455 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 82,5000,3455,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,82,6,0.68,20,0,None,i7168,20,526.15234375,526.021875,-1,0.21381273593662975,4564005
1745016246,1745016272,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,6,None,None,1,None,i7169,,,,,,4564362
1745016676,1745016703,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1,5000,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,100,6,0.68,15,0,None,i7169,15,524.7890625,524.59375,-1,0.3094250881861501,4564693
1745017186,1745017219,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1407 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1407,5000,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,100,6,0.68,22,0,None,i7170,22,525.77734375,525.6453125,-1,0.3094250881861501,4565083
1745017827,1745017860,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4389 feature_id 6 batch_size 1340 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 46,4389,1340,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,46,6,0.68,19,0,None,i7169,19,526.28515625,526.13671875,-1,0.33170369453555293,4565608
1745018447,1745018513,66,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,1,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,6,0.68,42,0,None,i7185,42,482.16015625,459.9135044642857,-1,0.2190729624357943,4566134
1745019048,1745019081,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1521 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 68,1521,5000,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,68,6,0.68,18,0,None,i7180,18,525.6328125,525.3984375,-1,0.3094250881861501,4566622
1745019928,1745019967,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 3520 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 34,5000,3520,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,34,6,0.68,18,0,None,i7185,18,433.06640625,425.556640625,-1,0.21783526208304968,4567282
1745020348,1745020374,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.001,1,6,0.68,13,0,None,i7169,13,526.00390625,525.814453125,-1,0.3094250881861501,4567592
1745020948,1745020961,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,6,None,None,1,None,i7168,,,,,,4568081
1745021270,1745021303,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,5000,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,1,6,0.68,16,0,None,i7173,16,525.2421875,525.046875,-1,0.3094250881861501,4568336
1745021598,1745021631,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,5000,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,6,0.68,18,0,None,i7170,18,525.41015625,525.2509765625,-1,0.3094250881861501,4568590
1745022110,1745022137,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 2050 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,5000,2050,str\(\'H\'\),3,str\(\'stdev\'\),0.999,100,6,0.68,17,0,None,i7170,17,526.28125,526.1328125,-1,0.2537285723126431,4568983
1745023159,1745023192,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4253 feature_id 6 batch_size 1350 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 21,4253,1350,str\(\'H\'\),2,str\(\'stdev\'\),0.001,21,6,0.68,19,0,None,i7170,19,525.52734375,525.3037109375,-1,0.29401571879447985,4569739
1745024030,1745024044,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,6,None,None,1,None,i7170,,,,,,4570486
1745024712,1745024745,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 803 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 12,1,803,str\(\'H\'\),3,str\(\'tstat\'\),0.001,12,6,0.68,16,0,None,i7180,16,525.20703125,525.033203125,-1,0.09938733832539143,4571026
1745025410,1745025457,47,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 649 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 80,5000,649,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,80,6,0.68,31,0,None,i7185,31,525.05078125,524.919921875,-1,0.04016337644656229,4571517
1745026161,1745026188,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 41,5000,5000,str\(\'H\'\),1,str\(\'tstat\'\),0.001,41,6,0.68,16,0,None,i7185,16,525.8671875,525.697265625,-1,0.3094250881861501,4572024
1745026852,1745026878,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 434 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,434,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,6,0.68,17,0,None,i7185,17,525.7109375,525.537109375,-1,0.24172287889102048,4572529
1745027519,1745027552,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 147 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 5,5000,147,str\(\'H\'\),1,str\(\'tstat\'\),0.999,5,6,0.68,21,0,None,i7185,21,525.26953125,525.1453125,-1,0.48214617241165914,4573039
1745028071,1745028104,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3555 feature_id 6 batch_size 1050 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 73,3555,1050,str\(\'H\'\),3,str\(\'stdev\'\),0.999,73,6,0.68,18,0,None,i7173,18,524.52734375,524.3798828125,-1,0.20118819233863483,4573480
1745028752,1745028785,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 2497 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 57,1,2497,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,57,6,0.68,18,0,None,i7170,18,524.91796875,524.755859375,-1,0.30905377808032675,4573988
1745029272,1745029299,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 48,1,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.001,48,6,0.68,15,0,None,i7170,15,525.39453125,525.2197265625,-1,0.3094250881861501,4574368
1745029912,1745029945,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 417 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 75,5000,417,str\(\'H\'\),3,str\(\'tstat\'\),0.999,75,6,0.68,18,0,None,i7173,18,524.93359375,524.7421875,-1,0.23757658270932608,4574837
1745030722,1745030749,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4631 feature_id 6 batch_size 408 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 23,4631,408,str\(\'H\'\),1,str\(\'tstat\'\),0.999,23,6,0.68,17,0,None,i7180,17,524.9609375,524.7890625,-1,0.07574726158796956,4575400
1745031392,1745031425,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3548 feature_id 6 batch_size 1996 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 14,3548,1996,str\(\'H\'\),3,str\(\'stdev\'\),0.999,14,6,0.68,18,0,None,i7170,18,525.16015625,524.998046875,-1,0.37038183055882173,4575877
1745032222,1745032255,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3224 feature_id 6 batch_size 2576 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,3224,2576,str\(\'H\'\),3,str\(\'tstat\'\),0.001,100,6,0.68,17,0,None,i7173,17,525.6015625,525.4013671875,-1,0.3188316108670091,4576481
1745032913,1745032946,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 47 feature_id 6 batch_size 451 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 28,47,451,str\(\'H\'\),3,str\(\'stdev\'\),0.001,28,6,0.68,18,0,None,i7173,18,524.8125,524.6689453125,-1,0.22328114363512594,4576961
1745033433,1745033459,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3259 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3259,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,1,6,0.68,17,0,None,i7173,17,524.39453125,524.2333984375,-1,0.20168327247973267,4577294
1745033903,1745033956,53,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,1,6,0.68,41,0,None,i7185,41,524.35546875,524.265625,-1,0.2190729624357943,4577592
1745034612,1745034626,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 16,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,16,6,None,None,1,None,i7173,,,,,,4578086
1745035274,1745035300,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 128 feature_id 6 batch_size 4918 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 32,128,4918,str\(\'H\'\),3,str\(\'stdev\'\),0.001,32,6,0.68,15,0,None,i7170,15,524.39453125,524.2373046875,-1,0.30435051673989727,4578546
1745035942,1745035968,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 373 feature_id 6 batch_size 3282 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 48,373,3282,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,48,6,0.68,13,0,None,i7169,13,524.76171875,524.5888671875,-1,0.20310662788538894,4579016
1745036484,1745036517,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3554 feature_id 6 batch_size 861 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 46,3554,861,str\(\'H\'\),3,str\(\'stdev\'\),0.001,46,6,0.68,18,0,None,i7185,18,524.8125,524.6611328125,-1,0.24927285104276256,4579345
1745037013,1745037038,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 3756 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 61,5000,3756,str\(\'H\'\),1,str\(\'stdev\'\),0.999,61,6,0.68,11,0,None,i7168,11,525.16796875,525.056640625,-1,0.23244012624543597,4579684
1745037755,1745037788,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4708 feature_id 6 batch_size 1794 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 61,4708,1794,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,61,6,0.68,18,0,None,i7173,18,524.71484375,524.5126953125,-1,0.32037873630793984,4580129
1745038654,1745038668,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,6,None,None,1,None,i7173,,,,,,4580733
1745039074,1745039120,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,1,str\(\'H\'\),3,str\(\'tstat\'\),0.001,1,6,0.68,36,0,None,i7170,36,525.72265625,525.6217447916666,-1,0.2190729624357943,4581016
1745039600,1745039647,47,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,5000,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,6,0.68,31,0,None,i7180,31,524.33984375,524.275390625,-1,0.8045671143016275,4581351
1745040455,1745040488,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 467 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 14,1,467,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,14,6,0.68,17,0,None,i7185,17,524.64453125,524.4892578125,-1,0.08670090970975927,4581854
1745041106,1745041139,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4946 feature_id 6 batch_size 636 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 17,4946,636,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,17,6,0.68,21,0,None,i7185,21,524.98046875,524.884375,-1,0.39358871217278296,4582234
1745041535,1745041568,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,100,6,0.68,18,0,None,i7173,18,524.8671875,524.7294921875,-1,0.3094250881861501,4582496
1745042335,1745042369,34,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 31,1,5000,str\(\'H\'\),2,str\(\'stdev\'\),0.001,31,6,0.68,19,0,None,i7185,19,525.76953125,525.5732421875,-1,0.3094250881861501,4582977
1745042975,1745043000,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 2363 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,2363,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,6,0.68,14,0,None,i7170,14,524.96484375,524.75390625,-1,0.31499473977350084,4583358
1745043656,1745043689,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4962 feature_id 6 batch_size 2688 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 79,4962,2688,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,79,6,0.68,19,0,None,i7185,19,524.3203125,524.109375,-1,0.3326938548177486,4583767
1745044296,1745044329,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2502 feature_id 6 batch_size 4509 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 48,2502,4509,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,48,6,0.68,17,0,None,i7185,17,525.55078125,525.40234375,-1,0.27903954452627017,4584262
1745044596,1745044635,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 29,1,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,29,6,0.68,19,0,None,i7173,19,471.43359375,441.4375,-1,0.3094250881861501,4584437
1745045395,1745045428,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 4669 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4244381505459246 subsets 27,5000,4669,str\(\'KL\'\),1,str\(\'stdev\'\),0.4244381505459246,27,6,0.68,14,0,None,i7170,14,415.82421875,413.4814453125,-1,0.288941147348227,4585009
1745046187,1745046227,40,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1922 feature_id 6 batch_size 4013 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 62,1922,4013,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,62,6,0.68,19,0,None,i7173,19,489.796875,459.587890625,-1,0.2483445757782041,4585446
1745046996,1745047023,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 93 feature_id 6 batch_size 3135 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.9049616271980231 subsets 100,93,3135,str\(\'H\'\),3,str\(\'stdev\'\),0.9049616271980231,100,6,0.68,17,0,None,i7180,17,524.88671875,524.71875,-1,0.19400953029271614,4585914
1745047716,1745047754,38,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1392 feature_id 6 batch_size 3993 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 32,1392,3993,str\(\'H\'\),1,str\(\'tstat\'\),0.001,32,6,0.68,15,0,None,i7170,15,490.9453125,486.009765625,-1,0.2471068754254595,4586305
1745048516,1745048574,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 4022 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1,4022,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,6,0.68,33,0,None,i7170,33,482.21484375,449.068359375,-1,0.24890154093693917,4586775
1745049356,1745049395,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1563 feature_id 6 batch_size 4517 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 62,1563,4517,str\(\'H\'\),3,str\(\'tstat\'\),0.001,62,6,0.68,16,0,None,i7170,16,492.93359375,450.4296875,-1,0.279534624667368,4587257
1745050003,1745050043,40,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,5000,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,6,0.68,27,0,None,i7180,27,524.9921875,524.88984375,-1,0.8045671143016275,4587623
1745050878,1745050911,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4525 feature_id 6 batch_size 4657 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 45,4525,4657,str\(\'H\'\),1,str\(\'stdev\'\),0.001,45,6,0.68,17,0,None,i7180,17,525.48828125,525.357421875,-1,0.28819852713658023,4588090
1745051358,1745051391,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 439 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,5000,439,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,100,6,0.68,18,0,None,i7173,18,513.89453125,500.126953125,-1,0.25663716814159293,4588353
1745052048,1745052081,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3244 feature_id 6 batch_size 4291 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 14,3244,4291,str\(\'H\'\),2,str\(\'tstat\'\),0.001,14,6,0.68,19,0,None,i7180,19,525.17578125,524.92578125,-1,0.26554861068135405,4588731
1745052597,1745052629,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 147 feature_id 6 batch_size 3080 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,147,3080,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,6,0.68,13,0,None,i7170,13,488.8203125,461.349609375,-1,0.1906058543226685,4589018
1745053259,1745053298,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3313 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 87,3313,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,87,6,0.68,15,0,None,i7170,15,495.703125,470.6904296875,-1,0.3094250881861501,4589373
1745053926,1745053958,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2772 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 57,2772,5000,str\(\'H\'\),1,str\(\'tstat\'\),0.999,57,6,0.68,14,0,None,i7170,14,510.45703125,503.5625,-1,0.3094250881861501,4589742
1745054609,1745054642,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 236 feature_id 6 batch_size 735 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 87,236,735,str\(\'H\'\),3,str\(\'stdev\'\),0.999,87,6,0.68,18,0,None,i7180,18,524.69921875,524.5654296875,-1,0.22742743981682034,4590116
1745055268,1745055295,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 664 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 87,1,664,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,87,6,0.68,15,0,None,i7173,15,498.15234375,493.2548828125,-1,0.16436660684448295,4590472
1745056109,1745056142,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 2765 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 30,1,2765,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,30,6,0.68,16,0,None,i7185,16,522.80859375,516.0390625,-1,0.17111207376694101,4590925
1745056679,1745056705,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4865 feature_id 6 batch_size 2896 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 34,4865,2896,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,34,6,0.68,15,0,None,i7183,15,525.85546875,525.6767578125,-1,0.17921901107741817,4591239
1745057379,1745057412,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 4640 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 44,1,4640,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,44,6,0.68,18,0,None,i7180,18,524.984375,524.787109375,-1,0.28714648183674735,4591594
1745057939,1745057965,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1893 feature_id 6 batch_size 3761 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 88,1893,3761,str\(\'H\'\),3,str\(\'stdev\'\),0.999,88,6,0.68,16,0,None,i7183,16,525.28125,525.146484375,-1,0.23274955133362213,4591893
1745058519,1745058546,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4910 feature_id 6 batch_size 1418 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 20,4910,1418,str\(\'H\'\),3,str\(\'tstat\'\),0.001,20,6,0.68,16,0,None,i7183,16,525.27734375,525.1015625,-1,0.2273036697815459,4592219
1745059460,1745059493,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3755 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 23,1,3755,str\(\'H\'\),1,str\(\'stdev\'\),0.999,23,6,0.68,16,0,None,i7185,16,520.81640625,507.3798828125,-1,0.23237824122779874,4592708
1745060311,1745060344,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 4703 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 14,5000,4703,str\(\'H\'\),2,str\(\'tstat\'\),0.001,14,6,0.68,18,0,None,i7185,18,520.72265625,489.01953125,-1,0.29104523794789283,4593161
1745061421,1745061460,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 98 feature_id 6 batch_size 1992 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 10,98,1992,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,10,6,0.68,17,0,None,i7185,17,515.22265625,494.63671875,-1,0.369391670276626,4593758
1745062340,1745062373,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 229 feature_id 6 batch_size 4354 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 23,229,4354,str\(\'H\'\),3,str\(\'stdev\'\),0.001,23,6,0.68,18,0,None,i7185,18,518.6875,509.2294921875,-1,0.26944736679249953,4594257
1745062820,1745062851,31,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 2282 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,2282,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,6,0.68,14,0,None,i7173,14,506.7109375,480.4296875,-1,0.2824432204963178,4594521
1745063561,1745063587,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 13 feature_id 6 batch_size 870 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 59,13,870,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,59,6,0.68,15,0,None,i7183,15,525.2890625,525.1142578125,-1,0.10767993068878025,4594898
1745064481,1745064520,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3410 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 52,3410,5000,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,52,6,0.68,16,0,None,i7185,16,466.7265625,452.1904296875,-1,0.3094250881861501,4595379
1745065441,1745065468,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 781 feature_id 6 batch_size 1359 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 35,781,1359,str\(\'H\'\),1,str\(\'stdev\'\),0.999,35,6,0.68,14,0,None,i7183,14,525.140625,525.0166015625,-1,0.0841017389689956,4595890
1745066221,1745066247,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3857 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 64,3857,5000,str\(\'H\'\),3,str\(\'stdev\'\),0.001,64,6,0.68,15,0,None,i7180,15,524.20703125,524.03515625,-1,0.3094250881861501,4596300
1745067021,1745067047,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3411 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 70,1,3411,str\(\'H\'\),3,str\(\'tstat\'\),0.999,70,6,0.68,15,0,None,i7183,15,526.0546875,525.87890625,-1,0.21108979516059162,4596717
1745067801,1745067828,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 4014 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 35,5000,4014,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,35,6,0.68,13,0,None,i7180,13,526.3046875,526.1513671875,-1,0.24840646079584133,4597102
1745068502,1745068535,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1249 feature_id 6 batch_size 1656 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 33,1249,1656,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,33,6,0.68,15,0,None,i7183,15,485.70703125,462.9921875,-1,0.10248158920725292,4597465
1745069402,1745069435,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 421 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 75,5000,421,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,75,6,0.68,16,0,None,i7183,16,520.65234375,484.0673828125,-1,0.05210718485054768,4597913
1745070322,1745070355,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 1453 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 85,5000,1453,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,85,6,0.68,18,0,None,i7185,18,511.3828125,486.2275390625,-1,0.3258865028776533,4598381
1745071173,1745071206,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 3352 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 72,5000,3352,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,72,6,0.68,18,0,None,i7185,18,524.21484375,473.251953125,-1,0.20743857911999505,4598799
1745072123,1745072404,281,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2482 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 26,2482,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,26,6,0.68,266,0,None,i7185,266,520.33203125,471.00228987068965,-1,0.2190729624357943,4599275
1745073222,1745073248,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 4563 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,4563,str\(\'H\'\),3,str\(\'stdev\'\),0.999,100,6,0.68,12,0,None,i7180,12,524.4609375,524.3037109375,-1,0.2823813354786806,4599848
1745074144,1745074273,129,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2319 feature_id 6 batch_size 114 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 90,2319,114,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,90,6,0.68,115,0,None,i7185,115,496.73046875,461.4829799107143,-1,0.09876848814901912,4600292
1745074823,1745074881,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2329 feature_id 6 batch_size 757 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 88,2329,757,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,88,6,0.68,40,0,None,i7183,40,501.8125,447.3678385416667,-1,0.23423479175691564,4600607
1745075284,1745075335,51,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2250 feature_id 6 batch_size 1411 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 98,2250,1411,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,98,6,0.68,35,0,None,i7183,35,471.38671875,440.8177083333333,-1,0.22557088928770344,4600840
1745075914,1745075953,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2227 feature_id 6 batch_size 1514 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 77,2227,1514,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,77,6,0.68,25,0,None,i7185,25,523.82421875,497.9515625,-1,0.2510675165542422,4601138
1745076404,1745076474,70,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3398 feature_id 6 batch_size 491 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 95,3398,491,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,95,6,0.68,56,0,None,i7180,56,525.9296875,525.81396484375,-1,0.21053283000185655,4601359
1745076924,1745076976,52,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3394 feature_id 6 batch_size 435 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 100,3394,435,str\(\'H\'\),2,str\(\'tstat\'\),0.001,100,6,0.68,39,0,None,i7183,39,486.6796875,451.046875,-1,0.08075994801658519,4601604
1745077414,1745077428,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 675 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 50,675,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,50,6,None,None,1,None,i7185,,,,,,4601841
1745078014,1745078053,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2547 feature_id 6 batch_size 1144 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2547,1144,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,6,0.68,27,0,None,i7180,27,524.52734375,524.44296875,-1,0.8674422922210533,4602138
1745078584,1745078630,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2411 feature_id 6 batch_size 838 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 59,2411,838,str\(\'H\'\),1,str\(\'tstat\'\),0.999,59,6,0.68,32,0,None,i7183,32,525.04296875,524.943359375,-1,0.44674794232316356,4602405
1745079106,1745079119,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 677 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 48,677,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,48,6,None,None,1,None,i7185,,,,,,4602636
1745079744,1745079764,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3675 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,3675,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,6,None,None,1,None,i7183,,,,,,4602933
1745080328,1745080342,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 690 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 48,690,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,48,6,None,None,1,None,i7185,,,,,,4603206
1745080912,1745080945,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1968 feature_id 6 batch_size 1360 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 20,1968,1360,str\(\'H\'\),2,str\(\'tstat\'\),0.001,20,6,0.68,17,0,None,i7185,17,526.26953125,526.0322265625,-1,0.2524908719598985,4603479
1745081494,1745081526,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2753 feature_id 6 batch_size 1446 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 27,2753,1446,str\(\'H\'\),2,str\(\'stdev\'\),0.001,27,6,0.68,18,0,None,i7183,18,526.015625,525.837890625,-1,0.3237205272603503,4603737
1745082014,1745082047,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2966 feature_id 6 batch_size 831 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2966,831,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,6,0.68,20,0,None,i7185,20,526.05859375,525.8857421875,-1,0.4419827959650969,4603966
1745082630,1745082663,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 959 feature_id 6 batch_size 680 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,959,680,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,1,6,0.68,18,0,None,i7185,18,525.41796875,525.248046875,-1,0.2104090599665821,4604225
1745083229,1745083300,71,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1577 feature_id 6 batch_size 1114 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1577,1114,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,100,6,0.68,58,0,None,i7183,58,525.9609375,525.90478515625,-1,0.275759638591497,4604474
1745083792,1745083824,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4292 feature_id 6 batch_size 4612 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,4292,4612,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,6,0.68,20,0,None,i7183,20,525.234375,525.128125,-1,0.2854137013429049,4604722

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Job SlurmJob<job_id=4546273, task_id=0, state="NODE_FAIL">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing', 'out_of_memory'], which would be ignored: node_fail

Job SlurmJob<job_id=4546273, task_id=0, state="NODE_FAIL">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing', 'out_of_memory'], which would be ignored: node_fail


⚠ Job 4546273 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546273/4546273_0_result.pkl
has not produced any output (state: NODE_FAIL)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546273/4546273_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546273/4546273_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546273/4546273_0_log.err not found


⚠ Job 4546583 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546583/4546583_0_result.pkl
has not produced any output (state: NODE_FAIL)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546583/4546583_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546583/4546583_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546583/4546583_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556638/4556638_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557027/4557027_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557428/4557428_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4558121/4558121_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4559780/4559780_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560908/4560908_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561228/4561228_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561587/4561587_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561910/4561910_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562659/4562659_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564362/4564362_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568081/4568081_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570486/4570486_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578086/4578086_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580733/4580733_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601841/4601841_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4602636/4602636_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4602933/4602933_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4603206/4603206_0_log.err not found

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Arguments Overview:

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timestamp,ram_usage_mb,cpu_usage_percent
1744998015,638.42578125,9.5
1744998015,638.42578125,16.8
1744998016,638.42578125,16.4
1744998016,638.484375,25.7
1744998016,638.484375,13.3
1744998016,638.484375,16.0
1744998016,638.484375,19.6
1744998443,687.44140625,15.5
1744998443,687.44140625,17.6
1744998443,687.44140625,21.3
1744998443,687.44140625,18.2
1745005881,859.60546875,22.7
1745005881,859.60546875,21.4
1745005881,859.60546875,21.2
1745005881,859.60546875,20.6
1745014668,887.640625,21.4
1745014668,887.640625,21.5
1745014668,887.640625,21.7
1745014668,887.640625,19.6
1745026845,924.796875,21.9
1745026845,924.796875,21.2
1745026845,924.796875,21.7
1745026845,924.796875,23.8
1745039587,958.8515625,22.0
1745039587,958.8515625,18.5
1745039587,958.8515625,18.0
1745039587,958.8515625,21.3
1745053260,1042.7890625,20.6
1745053260,1042.7890625,19.1
1745053260,1042.7890625,19.9
1745053260,1042.7890625,15.2
1745068508,1019.48046875,20.5
1745068508,1019.48046875,20.5
1745068508,1019.48046875,20.5
1745068508,1019.48046875,15.2
1745082004,1030.15234375,20.6
1745082004,1030.15234375,22.4
1745082004,1030.15234375,20.9
1745082004,1030.15234375,25.7

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

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

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 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			: :-webkit-scrollbar-button: vertical: end{
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			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
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15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M0 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M1 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M2 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M3 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M4 16h1'/%3E%3Cpath stroke='%237da0d4' d='M5 16h1m4 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M6 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M7 16h3'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 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			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
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stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
			}
			
			.field-row{
				display: flex;
				align-items: center
			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
				margin-top: 6px
			}
			
			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
			menu[role=tablist] button{
				background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
				padding: 0 12px 3px
			}
			
			menu[role=tablist] button: hover{
				box-shadow: unset;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]{
				border-color: #919b9c;
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]: first-of-type: before{
				content: "";
				display: block;
				position: absolute;
				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
			}
			
			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
			}
			
			ul.tree-view{
				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
			}
			
			@keyframes sliding{
				0%{
					transform: translateX(-30px)
				}
			
				to{
					transform: translateX(100%)
				}
			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
				border-radius: 4px;
				padding: 1px 2px 1px 0;
				overflow: hidden;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress,progress: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				height: 14px
			}
			
			progress[value]: :-webkit-progress-bar{
				background-color: transparent
			}
			
			progress[value]: :-webkit-progress-value{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress[value]: :-moz-progress-bar{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-webkit-progress-bar{
				width: 100%;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-webkit-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]){
				position: relative
			}
			
			progress: not([value]): before{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before,progress: not([value]): before: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): after{
				box-sizing: border-box;
				content: "";
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1372 feature_id 6 batch_size 1796 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.0073468989208340645 subsets 27",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3572 feature_id 6 batch_size 1085 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.6069168454948812 subsets 4",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 596 feature_id 6 batch_size 4451 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.2987806138619781 subsets 92",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2815 feature_id 6 batch_size 4133 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.9299109179340302 subsets 77",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4661 feature_id 6 batch_size 2808 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.8379199246168136 subsets 64",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1895 feature_id 6 batch_size 3749 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.45533759983442723 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3914 feature_id 6 batch_size 2103 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.6384806382767856 subsets 43",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2368 feature_id 6 batch_size 935 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.3241772113647312 subsets 22",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 654 feature_id 6 batch_size 2967 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.1224084958191961 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2693 feature_id 6 batch_size 1323 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.7813284351192414 subsets 50",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1875 feature_id 6 batch_size 3981 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.156172558195889 subsets 98",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4900 feature_id 6 batch_size 3793 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.37564278418943287 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4832 feature_id 6 batch_size 617 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.9395983562562614 subsets 10",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3176 feature_id 6 batch_size 2385 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.17977170753106475 subsets 88",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1612 feature_id 6 batch_size 439 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.7147690204586834 subsets 67",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2585 feature_id 6 batch_size 3087 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.34772663831152023 subsets 18",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 879 feature_id 6 batch_size 1453 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.5623460343107581 subsets 81",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2281 feature_id 6 batch_size 4734 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.7582203380540014 subsets 41",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3865 feature_id 6 batch_size 3557 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.20126962215639652 subsets 24",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4299 feature_id 6 batch_size 747 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.0836305111143738 subsets 53",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1041 feature_id 6 batch_size 4267 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.6620757463201881 subsets 47",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2139 feature_id 6 batch_size 1921 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.8910872446969151 subsets 87",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3079 feature_id 6 batch_size 277 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.4946026029530913 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 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 378 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 33",
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			        20,
			        2,
			        10
			    ],
			    [
			        1745075280.0600212,
			        20,
			        2,
			        10
			    ],
			    [
			        1745075289.333145,
			        20,
			        1,
			        5
			    ],
			    [
			        1745075289.4022574,
			        20,
			        1,
			        5
			    ],
			    [
			        1745075902.7326648,
			        20,
			        1,
			        5
			    ],
			    [
			        1745075903.0069315,
			        20,
			        1,
			        5
			    ],
			    [
			        1745075904.3954883,
			        20,
			        2,
			        10
			    ],
			    [
			        1745075904.8798697,
			        20,
			        2,
			        10
			    ],
			    [
			        1745075914.4831944,
			        20,
			        1,
			        5
			    ],
			    [
			        1745075914.5543208,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076392.1422465,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076392.4360151,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076394.0247781,
			        20,
			        2,
			        10
			    ],
			    [
			        1745076394.5225163,
			        20,
			        2,
			        10
			    ],
			    [
			        1745076403.5909524,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076403.658504,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076908.0540602,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076908.3500996,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076910.0410295,
			        20,
			        2,
			        10
			    ],
			    [
			        1745076910.4992504,
			        20,
			        2,
			        10
			    ],
			    [
			        1745076919.9337387,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076920.1093118,
			        20,
			        1,
			        5
			    ],
			    [
			        1745077407.1472945,
			        20,
			        1,
			        5
			    ],
			    [
			        1745077407.4282656,
			        20,
			        1,
			        5
			    ],
			    [
			        1745077409.04536,
			        20,
			        2,
			        10
			    ],
			    [
			        1745077409.5321367,
			        20,
			        2,
			        10
			    ],
			    [
			        1745077418.7387714,
			        20,
			        1,
			        5
			    ],
			    [
			        1745077418.91485,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078007.331437,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078007.8513103,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078009.2385867,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078009.4961975,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078019.3378696,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078019.4006116,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078570.9794042,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078571.2519007,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078572.97548,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078573.4659815,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078582.648325,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078582.8660161,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079097.9275649,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079098.239046,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079099.8750365,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079100.34118,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079109.7852032,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079109.9641793,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079729.5450616,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079729.9804375,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079731.3651779,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079731.6605477,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079741.4263434,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079741.4885361,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080316.628324,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080316.9862242,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080318.3573174,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080318.611122,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080328.711473,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080328.880126,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080892.865516,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080893.3636284,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080896.0418038,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080896.308944,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080906.1404092,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080906.3162289,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081474.2370415,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081474.5261006,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081476.029542,
			        20,
			        2,
			        10
			    ],
			    [
			        1745081476.4914846,
			        20,
			        2,
			        10
			    ],
			    [
			        1745081485.7997816,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081487.0004513,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081984.897267,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081985.170116,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081986.6374362,
			        20,
			        2,
			        10
			    ],
			    [
			        1745081987.0761664,
			        20,
			        2,
			        10
			    ],
			    [
			        1745081996.6585357,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081998.2551386,
			        20,
			        1,
			        5
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1744998015,
			        638.42578125,
			        9.5
			    ],
			    [
			        1744998015,
			        638.42578125,
			        16.8
			    ],
			    [
			        1744998016,
			        638.42578125,
			        16.4
			    ],
			    [
			        1744998016,
			        638.484375,
			        25.7
			    ],
			    [
			        1744998016,
			        638.484375,
			        13.3
			    ],
			    [
			        1744998016,
			        638.484375,
			        16
			    ],
			    [
			        1744998016,
			        638.484375,
			        19.6
			    ],
			    [
			        1744998443,
			        687.44140625,
			        15.5
			    ],
			    [
			        1744998443,
			        687.44140625,
			        17.6
			    ],
			    [
			        1744998443,
			        687.44140625,
			        21.3
			    ],
			    [
			        1744998443,
			        687.44140625,
			        18.2
			    ],
			    [
			        1745005881,
			        859.60546875,
			        22.7
			    ],
			    [
			        1745005881,
			        859.60546875,
			        21.4
			    ],
			    [
			        1745005881,
			        859.60546875,
			        21.2
			    ],
			    [
			        1745005881,
			        859.60546875,
			        20.6
			    ],
			    [
			        1745014668,
			        887.640625,
			        21.4
			    ],
			    [
			        1745014668,
			        887.640625,
			        21.5
			    ],
			    [
			        1745014668,
			        887.640625,
			        21.7
			    ],
			    [
			        1745014668,
			        887.640625,
			        19.6
			    ],
			    [
			        1745026845,
			        924.796875,
			        21.9
			    ],
			    [
			        1745026845,
			        924.796875,
			        21.2
			    ],
			    [
			        1745026845,
			        924.796875,
			        21.7
			    ],
			    [
			        1745026845,
			        924.796875,
			        23.8
			    ],
			    [
			        1745039587,
			        958.8515625,
			        22
			    ],
			    [
			        1745039587,
			        958.8515625,
			        18.5
			    ],
			    [
			        1745039587,
			        958.8515625,
			        18
			    ],
			    [
			        1745039587,
			        958.8515625,
			        21.3
			    ],
			    [
			        1745053260,
			        1042.7890625,
			        20.6
			    ],
			    [
			        1745053260,
			        1042.7890625,
			        19.1
			    ],
			    [
			        1745053260,
			        1042.7890625,
			        19.9
			    ],
			    [
			        1745053260,
			        1042.7890625,
			        15.2
			    ],
			    [
			        1745068508,
			        1019.48046875,
			        20.5
			    ],
			    [
			        1745068508,
			        1019.48046875,
			        20.5
			    ],
			    [
			        1745068508,
			        1019.48046875,
			        20.5
			    ],
			    [
			        1745068508,
			        1019.48046875,
			        15.2
			    ],
			    [
			        1745082004,
			        1030.15234375,
			        20.6
			    ],
			    [
			        1745082004,
			        1030.15234375,
			        22.4
			    ],
			    [
			        1745082004,
			        1030.15234375,
			        20.9
			    ],
			    [
			        1745082004,
			        1030.15234375,
			        25.7
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout, no_height = 0) {
				layout["width"] = get_graph_width();
				if (!no_height) {
					layout["height"] = get_graph_height();
				}
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true,
					ellipsis: false
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_node";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',
						jitter: 0.5,
						pointpos: 0
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: get_axis_title_data("Generation Method")
					},
					boxmode: 'group'
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
					let text = el.textContent.toLowerCase();
					let color = text.includes("manual") ? "green" :
						text.includes("sobol") ? "orange" :
						text.includes("saasbo") ? "pink" :
						text.includes("uniform") ? "lightblue" :
						text.includes("legacy_gpei") ? "sienna" :
						text.includes("bo_mixed") ? "aqua" :
						text.includes("randomforest") ? "darkseagreen" :
						text.includes("external_generator") ? "purple" :
						text.includes("botorch") ? "yellow" : "";
					if (color !== "") {
						el.style.backgroundColor = color;
					}
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" :
						el.textContent.includes("ABANDONED") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			function demo_mode(nr_sec = 3) {
				let i = 0;
				let tabs = $('menu[role="tablist"] > button');
			
				setInterval(() => {
					tabs.attr('aria-selected', 'false').removeClass('active');
			
					let tab = tabs.eq(i % tabs.length);
					tab.attr('aria-selected', 'true').addClass('active');
			
					tab.trigger('click');
			
					i++;
				}, nr_sec * 1000);
			}
			
			function resizePlotlyCharts() {
				const plotlyElements = document.querySelectorAll('.js-plotly-plot');
			
				if (plotlyElements.length) {
					const windowWidth = window.innerWidth;
					const windowHeight = window.innerHeight;
			
					const newWidth = windowWidth * 0.9;
					const newHeight = windowHeight * 0.9;
			
					plotlyElements.forEach(function(element, index) {
						const layout = {
							width: newWidth,
							height: newHeight,
							plot_bgcolor: 'rgba(0, 0, 0, 0)',
							paper_bgcolor: 'rgba(0, 0, 0, 0)',
						};
			
						Plotly.relayout(element, layout)
					});
				}
			
				make_text_in_parallel_plot_nicer();
				apply_theme_based_on_system_preferences();
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			
			window.addEventListener('resize', function() {
				resizePlotlyCharts();
			});
			
			"use strict";
			
			function get_row_by_index(idx) {
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
			
				var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
			
				if(trial_index_col_idx == -1) {
					error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
			
					return null;
				}
			
				for (var i = 0; i < tab_results_csv_json.length; i++) {
					var row = tab_results_csv_json[i];
					var trial_index = row[trial_index_col_idx];
			
					if (trial_index == idx) {
						return row;
					}
				}
			
				return null;
			}
			
			function load_pareto_graph_from_idxs () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				if(pareto_idxs === null) {
					var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
					$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
					return;	
				}
			
				var table = get_pareto_table_data_from_idx();
			
				var html_tables = createParetoTablesFromData(table);
			
				$("#pareto_from_idxs_table").html(html_tables);
			
				renderParetoFrontPlots(table);
			
				apply_theme_based_on_system_preferences();
			}
			
			function renderParetoFrontPlots(data) {
				try {
					let container = document.getElementById("pareto_front_idxs_plot_container");
					if (!container) {
						console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
						return;
					}
			
					container.innerHTML = "";
			
					if(data === undefined || data === null) {
						var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
						$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
						return;
					}
			
					Object.keys(data).forEach((key, idx) => {
						if (!key.startsWith("Pareto front for ")) return;
			
						let label = key.replace("Pareto front for ", "");
						let [xKey, yKey] = label.split("/");
			
						if (!xKey || !yKey) {
							console.warn("Could not extract two objectives from key:", key);
							return;
						}
			
						let entries = data[key];
						let x = [];
						let y = [];
						let hoverTexts = [];
			
						entries.forEach((entry) => {
							let results = entry.results || {};
							let values = entry.values || {};
			
							let xVal = (results[xKey] || [])[0];
							let yVal = (results[yKey] || [])[0];
			
							if (xVal === undefined || yVal === undefined) {
								console.warn("Missing values for", xKey, yKey, "in", entry);
								return;
							}
			
							x.push(xVal);
							y.push(yVal);
			
							let hoverInfo = [];
			
							if ("trial_index" in values) {
								hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
							}
			
							Object.keys(values)
								.filter(k => k !== "trial_index")
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
								});
			
							Object.keys(results)
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
								});
			
							hoverTexts.push(hoverInfo.join("<br>"));
						});
			
						let wrapper = document.createElement("div");
						wrapper.style.marginBottom = "30px";
			
						let titleEl = document.createElement("h3");
						titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
						wrapper.appendChild(titleEl);
			
						let divId = `pareto_plot_${idx}`;
						let plotDiv = document.createElement("div");
						plotDiv.id = divId;
						plotDiv.style.width = "100%";
						plotDiv.style.height = "400px";
			
						wrapper.appendChild(plotDiv);
						container.appendChild(wrapper);
			
						let trace = {
							x: x,
							y: y,
							text: hoverTexts,
							hoverinfo: "text",
							mode: "markers",
							type: "scatter",
							marker: {
								size: 8,
								color: 'rgb(31, 119, 180)',
								line: {
									width: 1,
									color: 'black'
								}
							},
							name: label
						};
			
						let layout = {
							xaxis: { title: { text: xKey } },
							yaxis: { title: { text: yKey } },
							margin: { t: 10, l: 60, r: 20, b: 50 },
							hovermode: "closest",
							showlegend: false
						};
			
						Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
					});
				} catch (e) {
					console.error("Error while rendering Pareto front plots:", e);
				}
			}
			
			function createParetoTablesFromData(data) {
				try {
					var container = document.createElement("div");
			
					var parsedData;
					try {
						parsedData = typeof data === "string" ? JSON.parse(data) : data;
					} catch (e) {
						console.error("JSON parsing failed:", e);
						return container;
					}
			
					for (var sectionTitle in parsedData) {
						if (!parsedData.hasOwnProperty(sectionTitle)) {
							continue;
						}
			
						var sectionData = parsedData[sectionTitle];
						var heading = document.createElement("h2");
						heading.textContent = sectionTitle;
						container.appendChild(heading);
			
						var table = document.createElement("table");
						table.style.borderCollapse = "collapse";
						table.style.marginBottom = "2em";
						table.style.width = "100%";
			
						var thead = document.createElement("thead");
						var headerRow = document.createElement("tr");
			
						var allValueKeys = new Set();
						var allResultKeys = new Set();
			
						sectionData.forEach(entry => {
							var values = entry.values || {};
							var results = entry.results || {};
			
							Object.keys(values).forEach(key => {
								allValueKeys.add(key);
							});
			
							Object.keys(results).forEach(key => {
								allResultKeys.add(key);
							});
						});
			
						var sortedValueKeys = Array.from(allValueKeys).sort();
						var sortedResultKeys = Array.from(allResultKeys).sort();
			
						if (sortedValueKeys.includes("trial_index")) {
							sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
							sortedValueKeys.unshift("trial_index");
						}
			
						var allColumns = [...sortedValueKeys, ...sortedResultKeys];
			
						allColumns.forEach(col => {
							var th = document.createElement("th");
							th.textContent = col;
							th.style.border = "1px solid black";
							th.style.padding = "4px";
							headerRow.appendChild(th);
						});
			
						thead.appendChild(headerRow);
						table.appendChild(thead);
			
						var tbody = document.createElement("tbody");
			
						sectionData.forEach(entry => {
							var tr = document.createElement("tr");
			
							allColumns.forEach(col => {
								var td = document.createElement("td");
								td.style.border = "1px solid black";
								td.style.padding = "4px";
			
								var value = null;
			
								if (col in entry.values) {
									value = entry.values[col];
								} else if (col in entry.results) {
									value = entry.results[col];
								}
			
								if (Array.isArray(value)) {
									td.textContent = value.join(", ");
								} else {
									td.textContent = value !== null && value !== undefined ? value : "";
								}
			
								tr.appendChild(td);
							});
			
							tbody.appendChild(tr);
						});
			
						table.appendChild(tbody);
						container.appendChild(table);
					}
			
					return container;
				} catch (err) {
					console.error("Unexpected error:", err);
					var errorDiv = document.createElement("div");
					errorDiv.textContent = "Error generating tables.";
					return errorDiv;
				}
			}
			
			function get_pareto_table_data_from_idx () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				var x_keys = Object.keys(pareto_idxs);
			
				var tables = {};
			
				for (var i = 0; i < x_keys.length; i++) {
					var x_key = x_keys[i];
					var y_keys = Object.keys(pareto_idxs[x_key]);
			
					for (var j = 0; j < y_keys.length; j++) {
						var y_key = y_keys[j];
			
						var indices = pareto_idxs[x_key][y_key];
			
						for (var k = 0; k < indices.length; k++) {
							var idx = indices[k];
							var row = get_row_by_index(idx);
			
							if(row === null) {
								error(`Error getting the row for index ${idx}`);
								return;
							}
			
							var row_dict = {
								"results": {},
								"values": {},
							};
			
							for (var l = 0; l < tab_results_headers_json.length; l++) {
								var header = tab_results_headers_json[l];
			
								if (!special_col_names.includes(header) || header == "trial_index") {
									var val = row[l];
			
									if (result_names.includes(header)) {
										if (!Object.keys(row_dict["results"]).includes(header)) {
											row_dict["results"][header] = [];
										}
			
										row_dict["results"][header].push(val);
									} else {
										if (!Object.keys(row_dict["values"]).includes(header)) {
											row_dict["values"][header] = [];
										}
										row_dict["values"][header].push(val);
									}
								}
								
							}
			
							var table_key = `Pareto front for ${x_key}/${y_key}`;
			
							if(!Object.keys(tables).includes(table_key)) {
								tables[table_key] = [];
							}
			
							tables[table_key].push(row_dict);
						}
			
					}
				}
			
				return tables;
			}
			
			function getMinMaxByResultName(resultName) {
				try {
					if (typeof resultName !== "string") {
						error("Parameter resultName must be a string");
						return;
					}
			
					if (!Array.isArray(result_names)) {
						error("Global variable result_names is not an array or undefined");
						return;
					}
					if (!Array.isArray(result_min_max)) {
						error("Global variable result_min_max is not an array or undefined");
						return;
					}
			
					if (result_names.length !== result_min_max.length) {
						error("Global arrays result_names and result_min_max must have the same length");
						return;
					}
			
					var index = result_names.indexOf(resultName);
					if (index === -1) {
						error("Result name '" + resultName + "' not found in result_names");
						return;
					}
			
					var minMaxValue = result_min_max[index];
			
					if (minMaxValue !== "min" && minMaxValue !== "max") {
						error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
						return;
					}
			
					return minMaxValue;
			
				} catch (e) {
					error("Unexpected error: " + e.message);
				}
			}
			

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

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;Overview</h1>
			<h2>Experiment overview:         </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value </th></tr></thead><tbody><tr><td> Max. nr. evaluations</td><td>906   </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>406   </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>6</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>35</td>
			<td>547</td>
			<td>1</td>
			<td>583</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_0,0.680000000000000048849813083507,12.000000000000000000000000000000,3980,4500,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.988614318847656270428103653103,88,6
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,1768,289,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.054879125589504841598031958938,13,6
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,459,3574,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.297510198287665839078641738524,53,6
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,2623,1844,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.735991458961740119271155435854,48,6
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,15.000000000000000000000000000000,3146,2550,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.780585922112688401774960311741,72,6
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,942,2073,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.217343452151864763299826677212,30,6
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,15.000000000000000000000000000000,2458,4105,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.463507545178756141801557077997,82,6
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,4629,1148,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.523942978870123643453382555890,19,6
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,4824,3355,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.648475815204903494048949141870,63,6
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,2028,1315,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.338487292621284741045428745565,38,6
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,825,4911,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.091836041761562223206816213406,78,6
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,3654,391,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.904631544847041335621895541408,23,6
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,17.000000000000000000000000000000,3052,4046,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.611998776406049715959056811698,96,6
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,264,773,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.422964906441047783225428702281,4,6
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,1260,3120,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.179846434250473974358897066850,57,6
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,4097,2327,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.864134184749796974145397143729,44,6
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,4255,2906,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.387576555211097018016630499915,8,6
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,1425,2429,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.576728922022506584887935332517,93,6
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,100,3837,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.821431013617664573800425387162,47,6
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,2894,879,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.137268422333523626432949527043,54,6
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,3504,4690,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.349999156685546042311329983932,28,6
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,17.000000000000000000000000000000,672,480,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.659870134189724955042777310155,72,6
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,2181,3139,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.908836203144863241654149987880,14,6
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,22.000000000000000000000000000000,4973,1410,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.095914589077234269076654982200,87,6
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,4466,4246,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.220935179958119981558084532480,33,6
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,17.000000000000000000000000000000,2298,973,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.784302805416285941930709668668,68,6
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,1102,2695,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.535824135953560487521940558509,22,6
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,3309,1903,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.475507195390760917241834704328,79,6
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,2777,3702,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.011814275573939086311225921122,3,6
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,31.000000000000000000000000000000,607,1662,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.945423357849940693142798409099,98,6
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,531,3943,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43,6
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,41,6
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1518,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43,6
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,73,86,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,6
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,29.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
37,37_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,83,6
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55,6
39,39_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43,6
40,40_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
43,43_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,67,6
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,30.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,89,6
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,53,6
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,63,6
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,381,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36,6
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,598,92,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64,6
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,633,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,6
53,53_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43,6
54,54_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39,6
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,22.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.880921601797440501080416197510,3,6
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
80,80_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
81,81_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
85,85_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
86,86_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,162,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62,6
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,16,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,22,6
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,50.000000000000000000000000000000,5000,39,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62,6
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4686,118,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62,6
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62,6
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,415,623,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,8,6
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,937,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,4,6
97,97_0,FAILED,BoTorch,GenerationStep_1,,,4952,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,6
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1234,348,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62,6
99,99_0,FAILED,BoTorch,GenerationStep_1,,,3690,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,91,6
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,552,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,10,6
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,3288,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,12,6
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,18.000000000000000000000000000000,1,89,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26,6
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,887,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,34.000000000000000000000000000000,4474,520,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,94,6
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,444,4849,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,97,6
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4427,165,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,93,6
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,4340,424,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,95,6
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,4546,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4821,599,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,6,6
110,110_0,FAILED,BoTorch,GenerationStep_1,,,1842,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,87,6
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4104,473,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62,6
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17,6
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,21,310,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,13,6
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,3323,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
115,115_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44,6
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,1152,417,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,94,6
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,240,525,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,6
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4109,56,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,6
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,1,3162,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,234,586,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,4,6
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4916,245,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,90,6
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,604,428,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,6,6
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3098,4991,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,25,6
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4552,4934,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24,6
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,190,271,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,98,6
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1579,193,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,67,6
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,669,4880,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,68,6
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,3722,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,29.000000000000000000000000000000,1,185,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,94,6
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,4958,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,68,6
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,744,4925,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,24,6
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,334,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,4842,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,337,3972,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,52,6
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1390,262,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,91,6
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,400,4880,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21,6
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,18.000000000000000000000000000000,1840,439,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,3,6
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,925,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,4505,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31,6
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,532,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,901,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11,6
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,1,2418,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,39.000000000000000000000000000000,5000,233,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1603,4996,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64,6
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4340,3977,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,53,6
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1251,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31,6
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,1188,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,271,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40,6
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,4519,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4973,421,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12,6
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,484,3947,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47,6
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,3239,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,6
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,97,435,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11,6
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,3932,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,48,6
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,145,434,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,11,6
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4781,709,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,13,6
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3384,433,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,12,6
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,560,4709,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,86,6
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3497,481,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,22,6
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,35.000000000000000000000000000000,1,952,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4574,444,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,8,6
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,2252,410,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,13,6
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,298,446,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,15,6
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,437,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17,6
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3457,4742,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,80,6
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,22.000000000000000000000000000000,1,1075,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4802,4005,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,47,6
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4614,3937,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48,6
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,3528,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4455,4633,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,98,6
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4944,4684,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73,6
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1130,4603,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,77,6
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,4080,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,6
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,28,6
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,4047,4674,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,91,6
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1700,4335,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,5000,815,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,54,6
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4570,1379,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,28,6
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,65.000000000000000000000000000000,519,864,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1653,188,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,22,6
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,210,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,47,6
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,4998,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,47,6
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4421,4942,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57,6
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,1036,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,934,201,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,6
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4106,176,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,6
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,3314,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1218,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27,6
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,39,436,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35,6
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,2390,1013,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4390,488,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,40,6
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,4913,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,50,6
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1495,417,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,6
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1300,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11,6
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,4425,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,13,6
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1184,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12,6
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1287,4899,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,56,6
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4614,221,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,26,6
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,342,1523,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,781,4436,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1125,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,16,6
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,1938,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32,6
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,655,4868,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,6
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2375,1028,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,92,6
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,4432,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,6
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,4576,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17,6
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,272,1109,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33,6
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4927,1433,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,11,6
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,4505,3552,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1195,364,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23,6
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,3419,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,26,6
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1665,353,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,6
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,1992,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,56,6
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,4256,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29,6
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,3416,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25,6
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4630,1334,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,7,6
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,4281,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44,6
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,100,3177,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27,6
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,1346,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,6
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,187,4313,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,55,6
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,18.000000000000000000000000000000,2417,4361,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3261,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20,6
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,31.000000000000000000000000000000,1722,2019,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3433,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4915,2984,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48,6
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1152,4168,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,4,6
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,2524,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62,6
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,91,2054,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1184,3973,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11,6
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,4425,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62,6
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,462,2888,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,38,6
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,884,4224,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,6
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,2231,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,4263,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62,6
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3528,3038,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31,6
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,4116,4302,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,88,6
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3598,3111,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26,6
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4710,2608,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,85,6
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2321,3828,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,75,6
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4707,4700,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,6
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,868,4809,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43,6
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4729,2217,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,4133,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,4099,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3986,660,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,53,6
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,18.000000000000000000000000000000,4246,2162,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,3,6
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1265,2074,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,1,2729,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,603,1034,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,72,6
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,1829,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,37,6
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,67,3925,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4838,2542,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,3500,3308,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46,6
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,2139,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,6
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,2452,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23,6
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4448,3643,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,25,6
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4503,2826,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39,6
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4920,3063,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57,6
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,167,1747,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,40,6
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4631,2833,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,58,6
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,577,1700,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25,6
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,1530,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36,6
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,458,1852,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,2270,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,23,6
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,403,1203,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,65,6
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,1803,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26,6
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,1831,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36,6
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4755,2154,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,6
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3945,3679,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,98,6
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,274,3892,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29,6
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1956,209,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44,6
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4488,3938,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24,6
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,1178,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3951,236,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49,6
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,1608,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,1214,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,281,3007,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40,6
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,3887,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,22,6
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,4840,1287,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,52,6
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4437,1517,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,6
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1962,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1221,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3011,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,36,6
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3408,4007,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21,6
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,1418,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,52,6
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,3003,2502,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,317,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3278,675,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27,6
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,2870,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,91,6
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,1153,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,104,3987,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22,6
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2504,4511,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34,6
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1939,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,6
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3211,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,3683,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,66,6
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,2173,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40,6
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,1,525,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,509,1529,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,39,6
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4900,3710,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.465152832627159562584040486399,71,6
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1697,2794,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2361,3036,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,81,6
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,2636,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,43,6
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4403,267,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,73,6
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,520,2394,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,6
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,753,278,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75,6
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,75,2758,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62,6
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4528,2791,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,75,6
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,2833,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,4009,613,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29,6
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,2123,2812,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,74,6
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,247,2770,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75,6
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3013,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,213,3180,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4448,3248,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,3982,2560,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,6
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3953,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1143,2779,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,64,6
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,385,2705,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,6
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4202,4136,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,2870,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,553,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1155,3743,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39,6
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,5000,2883,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,69,6
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,3419,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,65,6
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,955,2575,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,28,6
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,2776,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,815,2785,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,94,6
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,866,695,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,6
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,632,3535,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,78,6
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3221,2923,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20,6
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4428,3235,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44,6
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,476,3267,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,74,6
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,2930,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20,6
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,1090,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4317,2901,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20,6
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,914,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,35,6
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,661,2306,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,10,6
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4873,601,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,75,6
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3991,3269,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,78,6
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3617,270,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,6
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,43.000000000000000000000000000000,5000,1223,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,4920,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,40,6
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4840,2271,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,6
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,309,226,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19,6
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4973,3480,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,302,4767,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,25,6
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1,3785,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2231,3257,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,49,6
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,146,722,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75,6
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,945,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,6
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,42.000000000000000000000000000000,5000,1198,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,4237,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3490,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49,6
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,40.000000000000000000000000000000,5000,1195,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4423,2390,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16,6
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,262,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28,6
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4660,655,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,74,6
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,9,365,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.078635009506295205916615032038,48,6
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,23.000000000000000000000000000000,851,3772,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,1851,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,806,428,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86,6
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,3911,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3277,3160,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43,6
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,3903,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,1448,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,5000,1850,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4159,878,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37,6
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,4479,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,41,6
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4739,4849,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,71,6
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4940,3160,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44,6
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3803,3495,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,33,6
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4812,3509,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,9,6
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3220,3500,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,6
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,547,435,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,94,6
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,5000,728,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,4359,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21,6
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3936,1839,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,15,6
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,3413,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,1445,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4545,439,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,97,6
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,3844,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,843,3165,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,52,6
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,4465,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,52,6
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4886,4459,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,6
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,1,3944,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,956,3162,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,49,6
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3867,1441,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,50,6
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,1395,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,4562,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4472,1341,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,76,6
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2756,3841,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27,6
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,4083,782,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,43,6
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,4733,1698,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38,6
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,1329,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,79,6
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1446,792,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38,6
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,5000,784,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43,6
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,5000,4737,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,2358,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,3965,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,6
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4877,770,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,50,6
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2718,3829,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,16,6
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4088,4371,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,79,6
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,4383,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,79,6
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1073,4230,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,59,6
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,1,4740,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3290,2230,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32,6
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4351,3907,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27,6
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4844,4369,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33,6
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3353,3565,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,4328,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3884,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,6
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2428,3854,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,58,6
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1,4041,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,81,6
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2855,4571,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55,6
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,293,2689,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,50,6
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4352,2095,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4574,4189,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,81,6
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,436,1321,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,69,6
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,2329,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38,6
420,420_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,18.000000000000000000000000000000,4661,2808,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.837919924616813638351686677197,64,6
421,421_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,1372,1796,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.007346898920834064525275941548,27,6
422,422_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,20.000000000000000000000000000000,596,4451,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.298780613861978072698377673078,92,6
423,423_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,3572,1085,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.606916845494881229683414858300,4,6
424,424_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,17.000000000000000000000000000000,2815,4133,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.929910917934030245568521877431,77,6
425,425_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,12.000000000000000000000000000000,1108,153,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.224332030689343819851444550295,16,6
426,426_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,1895,3749,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.455337599834427231293432214443,57,6
427,427_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,16.000000000000000000000000000000,3914,2103,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.638480638276785583684613811783,43,6
428,428_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,22.000000000000000000000000000000,4095,4913,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.523035350095480633392241998081,84,6
429,429_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,17.000000000000000000000000000000,2368,935,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.324177211364731210352374546346,22,6
430,430_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,18.000000000000000000000000000000,654,2967,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.122408495819196105891535353294,63,6
431,431_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,16.000000000000000000000000000000,2693,1323,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.781328435119241437867287913832,50,6
432,432_0,FAILED,Sobol,SOBOL,,,3421,3275,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.737835009271278985387709781207,70,6
433,433_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,16.000000000000000000000000000000,151,2265,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.414470030270516875958719538176,33,6
434,434_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,17.000000000000000000000000000000,1875,3981,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.156172558195888988574751010674,98,6
435,435_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,19.000000000000000000000000000000,4832,617,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.939598356256261424412912219850,10,6
436,436_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,16.000000000000000000000000000000,4900,3793,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.375642784189432865638025305088,29,6
437,437_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,26.000000000000000000000000000000,1612,439,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.714769020458683401741950547148,67,6
438,438_0,FAILED,Sobol,SOBOL,,,201,3404,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.978867393231019344845833529689,1,6
439,439_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,21.000000000000000000000000000000,3176,2385,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.179771707531064750540394925338,88,6
440,440_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,2585,3087,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.347726638311520230839590794858,18,6
441,441_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,17.000000000000000000000000000000,879,1453,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.562346034310758136065544476878,81,6
442,442_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,16.000000000000000000000000000000,2281,4734,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.758220338054001352645627775928,41,6
443,443_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,22.000000000000000000000000000000,4299,747,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.083630511114373806691446588957,53,6
444,444_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,17.000000000000000000000000000000,3865,3557,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.201269622156396515988419082532,24,6
445,445_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,27.000000000000000000000000000000,2139,1921,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.891087244696915137254222827323,87,6
446,446_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,19.000000000000000000000000000000,1041,4267,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.662075746320188063265277378378,47,6
447,447_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,41.000000000000000000000000000000,3079,277,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.494602602953091274873287375158,59,6
448,448_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,378,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33,6
449,449_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4328,1606,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,66,6
450,450_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,3096,1528,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,68,6
451,451_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
452,452_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,1597,417,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,6
453,453_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
454,454_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,4784,757,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,91,6
455,455_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,38.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
456,456_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,884,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,6
457,457_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,4420,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,6
458,458_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
459,459_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,1,3618,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
460,460_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
461,461_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
462,462_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,4100,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
463,463_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
464,464_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
465,465_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
466,466_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,41.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
467,85_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
468,468_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,5000,1775,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
469,469_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,3695,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38,6
470,470_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,400,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,79,6
471,471_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4526,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,85,6
472,472_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,25.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
473,473_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
474,474_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
475,463_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
476,476_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
477,477_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,37.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
478,478_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.700482627811994884581281439750,100,6
479,479_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,778,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61,6
480,480_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,4639,2854,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,9,6
481,481_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,5000,3455,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,82,6
482,476_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
483,483_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
484,484_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,22.000000000000000000000000000000,1407,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
485,485_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4389,1340,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,6
486,486_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,42.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
487,487_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1521,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,68,6
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,3520,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,34,6
489,489_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
490,490_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
491,491_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
492,492_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
493,493_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,2050,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
494,494_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4253,1350,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,6
495,495_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
496,496_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,803,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,12,6
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,31.000000000000000000000000000000,5000,649,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,80,6
498,498_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,41,6
499,499_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,434,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
500,500_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,5000,147,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5,6
501,501_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,3555,1050,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73,6
502,502_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1,2497,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57,6
503,503_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,48,6
504,504_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,417,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75,6
505,505_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,4631,408,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23,6
506,506_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,3548,1996,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,14,6
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,3224,2576,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
508,508_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,47,451,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28,6
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,1,3259,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,41.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
511,511_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16,6
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,128,4918,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,6
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,373,3282,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,48,6
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,3554,861,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46,6
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,3756,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,61,6
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,4708,1794,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,61,6
517,464_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,36.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,31.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,1,467,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,6
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,4946,636,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17,6
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31,6
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,1,2363,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4962,2688,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,79,6
526,526_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,2502,4509,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48,6
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,6
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,4669,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.424438150545924597345504025725,27,6
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,1922,4013,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62,6
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,93,3135,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.904961627198023088602951702342,100,6
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1392,3993,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,32,6
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,33.000000000000000000000000000000,1,4022,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1563,4517,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62,6
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,27.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,4525,4657,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,45,6
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,439,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,3244,4291,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,6
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,147,3080,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,3313,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,87,6
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,2772,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,57,6
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,236,735,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,87,6
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,664,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,87,6
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,2765,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30,6
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4865,2896,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34,6
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1,4640,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44,6
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1893,3761,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,88,6
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,4910,1418,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20,6
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,3755,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,23,6
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,4703,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,6
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,98,1992,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,10,6
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,229,4354,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,6
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,1,2282,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,13,870,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,59,6
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,3410,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,52,6
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,781,1359,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35,6
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,3857,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64,6
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,3411,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70,6
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,4014,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,35,6
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1249,1656,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33,6
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,5000,421,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,75,6
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,1453,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,85,6
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,3352,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72,6
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,266.000000000000000000000000000000,2482,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26,6
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,12.000000000000000000000000000000,1,4563,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,115.000000000000000000000000000000,2319,114,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,90,6
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,40.000000000000000000000000000000,2329,757,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,88,6
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,35.000000000000000000000000000000,2250,1411,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,98,6
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,25.000000000000000000000000000000,2227,1514,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,77,6
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,56.000000000000000000000000000000,3398,491,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,95,6
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,39.000000000000000000000000000000,3394,435,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,675,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,50,6
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,27.000000000000000000000000000000,2547,1144,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,32.000000000000000000000000000000,2411,838,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,59,6
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,677,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,48,6
575,575_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3675,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
576,576_0,FAILED,BoTorch,BOTORCH_MODULAR,,,690,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48,6
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,1968,1360,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20,6
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,2753,1446,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27,6
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,2966,831,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,959,680,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,58.000000000000000000000000000000,1577,1114,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
582,582_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4292,4612,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">Job SlurmJob&lt;job_id=4546273, task_id=0, state=&quot;NODE_FAIL&quot;&gt;, state not in &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;, &#039;interrupted&#039;], which would be removed from the job list, or &#039;completed&#039;, &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;, &#039;out_of_memory&#039;], which would be ignored: node_fail

Job SlurmJob&lt;job_id=4546273, task_id=0, state=&quot;NODE_FAIL&quot;&gt;, state not in &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;, &#039;interrupted&#039;], which would be removed from the job list, or &#039;completed&#039;, &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;, &#039;out_of_memory&#039;], which would be ignored: node_fail


⚠ Job 4546273 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546273/4546273_0_result.pkl
has not produced any output (state: NODE_FAIL)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546273/4546273_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546273/4546273_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546273/4546273_0_log.err not found


⚠ Job 4546583 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546583/4546583_0_result.pkl
has not produced any output (state: NODE_FAIL)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546583/4546583_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546583/4546583_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546583/4546583_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556638/4556638_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557027/4557027_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557428/4557428_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4558121/4558121_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4559780/4559780_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560908/4560908_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561228/4561228_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561587/4561587_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561910/4561910_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562659/4562659_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564362/4564362_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568081/4568081_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570486/4570486_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578086/4578086_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580733/4580733_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601841/4601841_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4602636/4602636_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4602933/4602933_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4603206/4603206_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_NOAAWeather_ft_6_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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1745069401.1900926,20,1,5
1745070306.5207398,20,1,5
1745070306.9683845,20,1,5
1745070308.3421059,20,2,10
1745070308.8028643,20,2,10
1745070317.5575476,20,1,5
1745070317.6190965,20,1,5
1745071159.9370024,20,1,5
1745071160.215802,20,1,5
1745071161.7751586,20,2,10
1745071162.2539864,20,2,10
1745071171.249463,20,1,5
1745071171.3163984,20,1,5
1745072103.3858395,20,1,5
1745072103.9484386,20,1,5
1745072105.3409543,20,2,10
1745072105.8222218,20,2,10
1745072115.4477973,20,1,5
1745072115.5111892,20,1,5
1745073212.7848525,20,1,5
1745073213.0843244,20,1,5
1745073214.4774594,20,2,10
1745073214.9474277,20,2,10
1745073224.48402,20,1,5
1745073224.86354,20,1,5
1745074127.5918474,20,1,5
1745074127.9556339,20,1,5
1745074129.3299077,20,2,10
1745074129.7930958,20,2,10
1745074138.9019244,20,1,5
1745074139.0717225,20,1,5
1745074807.0367668,20,1,5
1745074807.3226223,20,1,5
1745074809.045722,20,2,10
1745074809.503439,20,2,10
1745074818.4811506,20,1,5
1745074818.5478923,20,1,5
1745075277.8197844,20,1,5
1745075278.1259177,20,1,5
1745075279.6037223,20,2,10
1745075280.0600212,20,2,10
1745075289.333145,20,1,5
1745075289.4022574,20,1,5
1745075902.7326648,20,1,5
1745075903.0069315,20,1,5
1745075904.3954883,20,2,10
1745075904.8798697,20,2,10
1745075914.4831944,20,1,5
1745075914.5543208,20,1,5
1745076392.1422465,20,1,5
1745076392.4360151,20,1,5
1745076394.0247781,20,2,10
1745076394.5225163,20,2,10
1745076403.5909524,20,1,5
1745076403.658504,20,1,5
1745076908.0540602,20,1,5
1745076908.3500996,20,1,5
1745076910.0410295,20,2,10
1745076910.4992504,20,2,10
1745076919.9337387,20,1,5
1745076920.1093118,20,1,5
1745077407.1472945,20,1,5
1745077407.4282656,20,1,5
1745077409.04536,20,2,10
1745077409.5321367,20,2,10
1745077418.7387714,20,1,5
1745077418.91485,20,1,5
1745078007.331437,20,1,5
1745078007.8513103,20,1,5
1745078009.2385867,20,2,10
1745078009.4961975,20,2,10
1745078019.3378696,20,1,5
1745078019.4006116,20,1,5
1745078570.9794042,20,1,5
1745078571.2519007,20,1,5
1745078572.97548,20,2,10
1745078573.4659815,20,2,10
1745078582.648325,20,1,5
1745078582.8660161,20,1,5
1745079097.9275649,20,1,5
1745079098.239046,20,1,5
1745079099.8750365,20,2,10
1745079100.34118,20,2,10
1745079109.7852032,20,1,5
1745079109.9641793,20,1,5
1745079729.5450616,20,1,5
1745079729.9804375,20,1,5
1745079731.3651779,20,2,10
1745079731.6605477,20,2,10
1745079741.4263434,20,1,5
1745079741.4885361,20,1,5
1745080316.628324,20,1,5
1745080316.9862242,20,1,5
1745080318.3573174,20,2,10
1745080318.611122,20,2,10
1745080328.711473,20,1,5
1745080328.880126,20,1,5
1745080892.865516,20,1,5
1745080893.3636284,20,1,5
1745080896.0418038,20,2,10
1745080896.308944,20,2,10
1745080906.1404092,20,1,5
1745080906.3162289,20,1,5
1745081474.2370415,20,1,5
1745081474.5261006,20,1,5
1745081476.029542,20,2,10
1745081476.4914846,20,2,10
1745081485.7997816,20,1,5
1745081487.0004513,20,1,5
1745081984.897267,20,1,5
1745081985.170116,20,1,5
1745081986.6374362,20,2,10
1745081987.0761664,20,2,10
1745081996.6585357,20,1,5
1745081998.2551386,20,1,5
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;CPU/RAM-Usage (main)</h1>
			<div class='invert_in_dark_mode' id='mainWorkerCPURAM'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1744998015,638.42578125,9.5
1744998015,638.42578125,16.8
1744998016,638.42578125,16.4
1744998016,638.484375,25.7
1744998016,638.484375,13.3
1744998016,638.484375,16.0
1744998016,638.484375,19.6
1744998443,687.44140625,15.5
1744998443,687.44140625,17.6
1744998443,687.44140625,21.3
1744998443,687.44140625,18.2
1745005881,859.60546875,22.7
1745005881,859.60546875,21.4
1745005881,859.60546875,21.2
1745005881,859.60546875,20.6
1745014668,887.640625,21.4
1745014668,887.640625,21.5
1745014668,887.640625,21.7
1745014668,887.640625,19.6
1745026845,924.796875,21.9
1745026845,924.796875,21.2
1745026845,924.796875,21.7
1745026845,924.796875,23.8
1745039587,958.8515625,22.0
1745039587,958.8515625,18.5
1745039587,958.8515625,18.0
1745039587,958.8515625,21.3
1745053260,1042.7890625,20.6
1745053260,1042.7890625,19.1
1745053260,1042.7890625,19.9
1745053260,1042.7890625,15.2
1745068508,1019.48046875,20.5
1745068508,1019.48046875,20.5
1745068508,1019.48046875,20.5
1745068508,1019.48046875,15.2
1745082004,1030.15234375,20.6
1745082004,1030.15234375,22.4
1745082004,1030.15234375,20.9
1745082004,1030.15234375,25.7
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;Heatmap</h1>
			<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
			    <h1>Correlation Heatmap Explanation</h1>
			
			    <p>
			        This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
			    </p>
			
			    <h2>How It Works</h2>
			    <p>
			        The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
			    </p>
			    <ul>
			        <li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
			        <li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
			        <li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
			    </ul>
			
			    <h2>Color Scale: Yellow to Purple (Viridis)</h2>
			    <p>
			        The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
			    </p>
			    <ul>
			        <li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
			        <li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
			        <li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
			        <li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
			    </ul>
			
			    <h2>What the Heatmap Shows</h2>
			    <p>
			        In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
			    </p>
			
			<h1>&nbsp;Result-Pairs</h1>
			<div class="invert_in_dark_mode" id="plotResultPairs"></div>
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
			<h1>&nbsp;Exit-Codes</h1>
			<div class="invert_in_dark_mode" id="plotExitCodesPieChart"></div>
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