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_0,0.680000000000000048849813083507,15.000000000000000000000000000000,3334,4570,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.113552124798297876528963001874,92,4
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,836,1088,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.845042817549780056474162392988,28,4
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,16.000000000000000000000000000000,1589,3326,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.549006964489817672614435650758,54,4
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,4086,2267,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.284837693443521833280840382940,15,4
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,4864,3082,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.201942270448431382412479706545,64,4
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,2373,1320,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.967197814688086521250909299852,6,4
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,57,4346,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.639483370320871435943388405576,76,4
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,162.000000000000000000000000000000,2551,5,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.404906406234949833855552014938,43,4
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,19.000000000000000000000000000000,3122,3488,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.324152813041582721353961460409,73,4
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,619,2125,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.588573350567370701114100484119,9,4
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,1957,4712,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.759859199909493354674339116173,86,4
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,4460,928,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.028117242537438871807786711088,47,4
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,3993,3881,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.491003723882138753964454735979,95,4
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,1487,488,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.725831954447552551989986113767,37,4
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,1085,2599,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.928796402532607312529933096812,58,4
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,3594,1783,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.163289591813460005509384131983,25,4
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,3694,2667,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.716624413946643445960660301353,31,4
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,24.000000000000000000000000000000,1199,1695,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.452454516444355248072639597012,89,4
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,1383,3970,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.156418932927772397212251576093,19,4
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,3882,420,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.887910187073051915263022237923,52,4
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,19.000000000000000000000000000000,4660,4936,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.596555669553577860853010861319,3,4
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,22.000000000000000000000000000000,2167,683,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.361978142214939013765473418971,67,4
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,420,3731,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.034263904187828306269203437751,41,4
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,2911,1901,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.799520074883475873050997506652,80,4
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,2662,4140,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.974319680567830803674667095038,12,4
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,28.000000000000000000000000000000,161,268,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.242577159943059089686201446057,70,4
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,2259,2819,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.413862739741802210247101356799,49,4
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,25.000000000000000000000000000000,4764,1524,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.678283903723582604072817048291,82,4
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,4297,3278,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.839147362893447268383795289992,34,4
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,1788,2374,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.073639925718307491786518426125,98,4
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.047661708832740616592626992087,1,4
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,40.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
32,32_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,22.000000000000000000000000000000,269,4286,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.655956789045345711741674676887,83,4
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
37,37_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,32.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
43,43_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,660,4649,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.246899338675696494727063168284,16,4
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,2330.000000000000000000000000000000,4833,10,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.733897607912893268355958298343,95,4
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,125,4996,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.928293715880324388223243659013,100,4
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2907,289,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.713296625541417372851071831974,1,4
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,2334,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
51,51_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.759481139320756670763046258799,1,4
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,49.000000000000000000000000000000,124,105,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.153765140662575211516482909246,57,4
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4963,284,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.162739238522382367868601704686,1,4
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,35.000000000000000000000000000000,1,1088,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,1085,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,31.000000000000000000000000000000,1,2177,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,1069,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4975,2491,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,1,1085,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,4204,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,3094,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,1638,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,31.000000000000000000000000000000,5000,1072,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,2761,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,23.000000000000000000000000000000,5000,2534,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,4241,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,2284,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,2303,2538,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,1067,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,373,3132,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,31.000000000000000000000000000000,1,3161,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,2186,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,33.000000000000000000000000000000,5000,3317,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,1064,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,3553,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3951,2920,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,5000,3338,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,1100,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,33.000000000000000000000000000000,5000,2356,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,972,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4253,1073,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,29.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,81.000000000000000000000000000000,5000,409,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,414,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,4793,4421,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,408,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,5000,417,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,409,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,417,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4395,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,442,4719,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,3133,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,58.000000000000000000000000000000,5000,420,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,888,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,332,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4761,4226,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,181,3692,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
135,135_0,FAILED,BoTorch,GenerationStep_1,,,416,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,979,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4839,4718,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
138,138_0,FAILED,BoTorch,GenerationStep_1,,,555,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,4723,3968,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,557,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,21.000000000000000000000000000000,404,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,927,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4790,4028,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,383,292,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,813,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,41.000000000000000000000000000000,5000,415,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,822,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,1090,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
149,149_0,FAILED,BoTorch,GenerationStep_1,,,1063,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,67.000000000000000000000000000000,4459,241,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.432471339228203299764885514378,88,4
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4801,2798,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.436243783499996484742666780221,68,4
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,1148,4431,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.438593375431621967930340133535,51,4
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,279,2486,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.679403578904992033749010715837,1,4
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4858,9,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.584602813321511094457605395291,1,4
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1049,4645,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.441231293992115303215229005218,16,4
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,123,4816,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.530870614337621393730159979896,100,4
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1882,939,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.440487618789596913071449080235,37,4
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,2940,4844,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.665946863778094866326284773095,6,4
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,3846,545,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.667879444702583313642207940575,43,4
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,21.000000000000000000000000000000,3842,1238,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.047489104116264946320313811157,1,4
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4815,4890,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.669219365853187198034390803514,40,4
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2920,940,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.949602409996308516326735116309,100,4
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,345,242,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.668430128982353988220665996778,12,4
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,4464,2456,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.921365728667190686529409049399,100,4
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4069,166,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.455451713530901192150679435144,1,4
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,49.000000000000000000000000000000,919,935,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.426191706332546438318331638584,100,4
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,227,1021,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.429165414258448285611535766293,100,4
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,3460,10,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.435666706498629763277818938150,4,4
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,11,4606,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.768422454595675374910968002951,25,4
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3679,4728,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.229938102854701176269713869260,100,4
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4544,4828,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.085866106855834747890732217002,67,4
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,39,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.444315958495497098645898859104,49,4
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4533,1197,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.797154210737638146966332897136,2,4
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1308,107,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.476481256712151524101983568471,1,4
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,493,31,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.914560691515455714828419786500,5,4
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,4840,4775,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.935094715515540353401036099967,57,4
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,3722,4996,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.293229277451644787522155866100,1,4
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.537723963128154291979399204138,100,4
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,178,79,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.848215749082751546694680655492,95,4
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,571,2199,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.884635351582933493475024988584,94,4
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,4667,3020,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.814855839163825090842863119178,85,4
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3470,725,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.885638465751651504653807478462,94,4
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4469,4639,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.889704911116047769681358659000,94,4
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,737,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,8,4
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,51,939,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17,4
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1805,952,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,72,4
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,693,4714,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,11,4
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,33.000000000000000000000000000000,16,1327,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.882063983494088654779829994368,90,4
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,542,84,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,33,4
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4945,1738,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.052040564539329092763608741734,8,4
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,3941,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19,4
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,415,1464,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.888143808599790585134314824245,93,4
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,382,671,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.110626515915156042879630149400,8,4
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4723,4906,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28,4
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4027,710,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,4
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,2313,357,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,91,4
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4992,3471,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26,4
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,778,158,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18,4
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4714,927,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.081881265144185144677635435073,9,4
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4692,4363,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.885957498596296799675542388286,92,4
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,33,932,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,38,4
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,4217,3400,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.971605269501483848060274794989,89,4
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31,4
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,4124,946,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72,4
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,839,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,81,4
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,334,4416,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.441394196184519249648303684808,30,4
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4907,4863,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.146856550813430103419321426372,9,4
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,2402,4544,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24,4
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,4191,4634,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,63,4
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4501,4863,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.921880113227586228674681478878,33,4
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4603,1136,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.756420680402958289789694390493,83,4
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,540,4888,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.757726846639126261351293578628,83,4
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,2921,2328,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.750039565284588261029341538233,82,4
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,2452,4652,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.764007178686433863212812411803,83,4
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,4404,16,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.894486787318005127644937601872,13,4
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,133,974,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.075897332532759043122183584273,19,4
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4726,1131,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.077233138361649536496322809853,75,4
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4895,4379,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.366973022672788418141465172084,1,4
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,21.000000000000000000000000000000,1623,961,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.086398877393526529733236429820,78,4
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,471,794,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55,4
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,523,497,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.846927634831737718990041230427,11,4
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,178.000000000000000000000000000000,319,92,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,80,4
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4414,4074,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.075053710089131142613183556023,20,4
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3655,1190,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.924513377048839957161874281155,22,4
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4007,635,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.235777921991219718833576735051,7,4
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,172.000000000000000000000000000000,2987,39,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64,4
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,217,2046,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47,4
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,23.000000000000000000000000000000,4880,3663,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.749676806604264611699761644559,82,4
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,638,3782,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.920443386901492743845665245317,22,4
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2047,499,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,76,4
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3,3831,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.837949640188660249684460268327,60,4
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1898,330,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.040736335202442054692628659041,56,4
233,233_0,FAILED,BoTorch,GenerationStep_1,,,2985,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,50,4
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,162,2985,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.330923844751928597496259953914,7,4
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,39,3797,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.228132020995870071766731257412,4,4
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,3501,4617,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.756955540408905447335996541369,10,4
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1900,566,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.801159786456726252801274767990,13,4
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,315,4526,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.937203778125905495599567984755,80,4
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,39.000000000000000000000000000000,228,290,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.062132648558769286439851242676,87,4
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4835,4493,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.934856278746559632431001318764,75,4
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1110,909,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.913649560448143271962351263937,75,4
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3226,4943,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.094163815668943301462334716234,32,4
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4114,1286,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.934574693207716800102957677154,74,4
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4851,4099,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.775959320876034919223229735508,74,4
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,744,375,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.540511321770929975549790924561,17,4
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,48.000000000000000000000000000000,3867,828,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.152511080756622785514764473191,100,4
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,590,797,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.737991949364609656214497590554,75,4
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,4031,4081,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.122874728251634826592386673383,45,4
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4572,755,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.110404200727043461105481014783,45,4
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4810,4127,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.076695357868070718199149382599,28,4
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,49.000000000000000000000000000000,4754,288,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.539708284233780255512158419151,87,4
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,256,4352,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.105597710541173187004382327814,35,4
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4850,792,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.261899370384376883880150899131,27,4
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,152,3577,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.204615685295315818947869956901,88,4
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,881,4288,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.244578964451190511431022400757,93,4
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,816,4918,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.876141955809371597574397583230,79,4
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,541,546,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.077883627990642773086804595550,33,4
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4426,386,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.163853620915716979844489742391,32,4
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4924,282,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.199927446643411915738752782090,32,4
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,85.000000000000000000000000000000,4188,194,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.557978810663412261305893480312,80,4
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2362,2020,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.875534014789600134598401837138,77,4
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,741,4884,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.607861229094929345073694548773,19,4
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,1,3485,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.242746848074576748732766873218,79,4
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1698,3950,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.156351245570939323403791831879,98,4
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,18.000000000000000000000000000000,2483,4777,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.829408878782836311849280264141,73,4
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,2245,4401,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.193077212070822734624186978181,84,4
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,4816,4938,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.724901510680838967459749255795,74,4
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4526,1033,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.183371473270131229993396004829,89,4
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1927,695,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.113153622114982005397720854489,31,4
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,316,94,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.203294974591731181234877112729,39,4
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2931,4924,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.503236289735044972637467708410,35,4
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,1160,4128,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.546328760057833595631393563963,38,4
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2043,366,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.497664745237904437846765404174,10,4
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1035,751,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.900694325168256648694864452409,45,4
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,356,859,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,94,4
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4727,4087,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.369666369102259528833798185588,12,4
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,3826,159,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.468828278582064994495226528670,21,4
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,766,3353,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.490525637203027276012079482825,23,4
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,29.000000000000000000000000000000,4389,250,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.157448267118672380338040284187,73,4
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4413,178,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.775967399291518478143814263603,53,4
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,16,4826,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.633358626471144936509460876550,69,4
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,1265,4820,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.648580321269740300849093728175,52,4
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3317,4446,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.497390371935804542768977398737,10,4
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4029,4975,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.915062313420783812745185059612,43,4
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,54.000000000000000000000000000000,4599,164,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.421458079821472986203900745750,76,4
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,281,307,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.309795468877964497167454283044,54,4
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,37.000000000000000000000000000000,835,86,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.694839592943023443005756689672,53,4
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,124,4087,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.421334615167336778984719103391,76,4
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4841,658,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.241094099361178121343485258876,41,4
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4154,4839,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.481237608484620216220406518914,25,4
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,208,4522,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.715726852049655803966743405908,19,4
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3360,3967,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.420519694195854554230606936471,76,4
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,334,4818,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.253819488471789367345365917572,40,4
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,4058,4458,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.790865578914696554235774783592,46,4
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,4777,3177,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.784283753761714663710336026270,55,4
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,313,418,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.259305531267378541748769293918,48,4
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,75,2096,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.178088292089695343634048185777,75,4
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,4074,2887,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.295102732968777536903814961988,59,4
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,402,402,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.783211839498678896731576060120,44,4
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,248,996,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.046678444770850244238680204489,59,4
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4932,938,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.780623316273625023065108052833,99,4
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,2704,4363,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.783723043488197101957837276132,100,4
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,139,4253,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.779682540638207632888168063801,95,4
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3126,4359,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.954420894868004188182908364979,1,4
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,73.000000000000000000000000000000,1125,541,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.201301392503540926837146685102,100,4
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,217,3530,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.240637704309757033405148263228,1,4
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4102,4839,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.281860385369495369811687623951,1,4
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2106,280,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.776931571137706389329480316519,81,4
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4785,4556,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.199587257208487051096668096761,30,4
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,53,388,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.199483687111968954752683202969,1,4
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,21.000000000000000000000000000000,3991,4407,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.380011215175887429040813003667,81,4
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,3014,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.873189883632330854368319705827,1,4
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,4315,1355,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.634194223949590796252095969976,1,4
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1022,675,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.864840446950627894651120186609,19,4
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,4496,4784,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.359209773498662565671679658408,1,4
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,610,339,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.149532319740437430466428736509,100,4
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,224,4900,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.321330695016339262792826048099,100,4
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,56.000000000000000000000000000000,66,297,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.230740758123855499439613936374,100,4
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4550,840,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.615678659717967091680179692048,93,4
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,39.000000000000000000000000000000,521,427,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.376258495076307708515628291934,91,4
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,438,493,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.794359347156559758573735052778,14,4
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4769,771,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.291097462812031415602120887343,26,4
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,436,392,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.050089594491252865948727190926,9,4
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,35,71,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.386304862065835585838158294791,1,4
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,4574,4935,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.494338220696890484617824768065,100,4
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,4336,4168,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.289896602806443692834648118151,95,4
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,403.000000000000000000000000000000,3268,108,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.109656556745019645449090717193,100,4
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3747,166,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.662259704657693792917427799694,1,4
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,2624,65,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.878429852678761724504852281825,1,4
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
333,333_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,684,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,51.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,2406,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,4
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
342,342_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,63,4
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,4
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,1132,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55,4
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,56,4
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,48.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1908,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,38.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2692,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,2844,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,4
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,2180,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,30.000000000000000000000000000000,655,813,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.796179813758214893759657115879,94,4
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3610,2768,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.791559474154310382942867363454,91,4
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,2736,3991,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.788818566976479451646753204841,90,4
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3160,912,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.795985885752761856970494136476,98,4
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,1006,4141,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.790750923916652581624475715216,91,4
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2810,2876,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.796490004732084089233978829725,94,4
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2704,1265,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.797215174845274709980458283098,94,4
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3501,4727,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.038114320938536790095430006886,17,4
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,2872,718,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.095482148303487002216627388407,1,4
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,797,19,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.781516642131641625645954718493,86,4
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,31.000000000000000000000000000000,2853,3541,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.049710051738009360111636425472,97,4
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1733,4287,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.045606320058615784640565493646,97,4
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3400,4036,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.793607317739924544852669896500,93,4
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,46.000000000000000000000000000000,4363,374,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.789207189373081763328343640751,90,4
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1710,4386,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.533392304640630587897476289072,1,4
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,2047,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,4
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4384,189,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.118626037445561702265983683446,21,4
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,2725,4605,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.118338190352606439925686743209,21,4
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3672,4517,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,8,4
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2122,432,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.192566367754223699559901206158,12,4
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,604,2380,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.038305401590486620744258061677,23,4
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,359,1583,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.134945742340700974848388682403,86,4
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1409,184,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.629545617363993170734204340988,12,4
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,998,598,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.546488497644585513590698155895,6,4
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,682,4911,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.541246228939871398821992443118,9,4
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,143,1106,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.974485808647238771484921926458,72,4
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,23.000000000000000000000000000000,4661,2711,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.118002124272446759500887480954,85,4
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3450,1138,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.036810062505460539039603418132,27,4
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,4634,425,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.384703504668778784036931028822,55,4
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4763,310,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.035264884997118037257557432440,22,4
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3430,3260,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.841414703686354181755291392619,86,4
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1450,3846,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.085441950146219511341705299401,91,4
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4343,3829,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.405190370381304121316645705519,10,4
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1927,4436,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.457274659841203579002666401720,100,4
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4701,248,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.964774968708906888181786598579,23,4
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,536,4971,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.807559662025198465862274588289,25,4
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3612,48,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.454714973142877842970932533717,100,4
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4835,193,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.474616160582315149696341904928,41,4
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,544,4047,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.280824824440886744447709588712,86,4
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3702,545,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.859371744947262983238545075437,67,4
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4998,246,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.294045644363745639626728234362,84,4
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,87,4409,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.534912400178906288772395782871,28,4
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,201,4823,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.402458924556533315097794911708,20,4
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,301,3960,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.959104090227507755095359698316,30,4
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4095,559,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.585219078798824066112160835473,100,4
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,39.000000000000000000000000000000,7,2671,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.458318537687000315816732154417,97,4
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,32.000000000000000000000000000000,6,2053,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.937575969208575332736188556737,93,4
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4762,1183,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.930235800497524301100327193126,90,4
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,234,921,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.841676641313082174455928452517,83,4
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,14,4677,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.591091216802092311866090312833,70,4
410,410_0,FAILED,BoTorch,GenerationStep_1,,,158,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.712118001957426027814790359116,10,4
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3486,297,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.584581283508827209693947679625,66,4
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4903,4902,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.395187053512217001394191129293,8,4
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,68.000000000000000000000000000000,4524,74,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.039136556489300054761937275316,69,4
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,2584,3413,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.404757818608281916272773059973,13,4
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4991,897,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.564555213693791912987762771081,32,4
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4147,4897,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.666320923072101334305727959872,25,4
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4901,2249,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.528990651148912749413000256027,25,4
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1068,3497,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.036622256004784914384941885146,75,4
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,59.000000000000000000000000000000,492,261,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.492715312442675801296587678735,84,4
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,3798,1779,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.645211577552481374553394743998,19,4
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,62.000000000000000000000000000000,1326,562,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.142244310693054598626616780166,92,4
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4150,4790,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.750748693905626263145336451998,18,4
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,2933,61,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.288991881492976276923911882477,8,4
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,661,1837,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.394354731471203312498374771167,72,4
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,3123,4651,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.960402535804835144617186415417,44,4
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4800,3128,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.325898551099622069138206370553,16,4
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1361,4905,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.951679064826851828229337115772,48,4
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,4032,2205,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.565621152699069318359192948265,95,4
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,22.000000000000000000000000000000,1021,283,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.883005739062195371680275002291,60,4
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,271,4682,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.339462889324600614049387559135,21,4
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,253,4751,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.642607907314350357275145597669,100,4
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,4557,4904,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.033039245953531089228238926125,83,4
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2946,684,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.326952968279187461408952231068,18,4
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4322,3932,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.401600318992328175760064823407,67,4
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,31.000000000000000000000000000000,23,226,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.113113377820555111030742523326,62,4
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,240,4637,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.079920043376994459594087061305,52,4
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1554,1339,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.719184730963114526858248609642,8,4
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,4002,396,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.082256121433911227880386718425,57,4
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,53.000000000000000000000000000000,4746,500,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.143976383720903516882927419829,91,4
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3998,4924,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.509913808239482513329221546883,60,4
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4760,519,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.742234861493458075720752731286,60,4
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1108,121,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.333369046664637236343509130165,88,4
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4912,1215,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.620903089697820487202761796652,37,4
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4191,4272,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.276088727396987587692223087288,8,4
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,861,2736,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.101939786821620859136316994409,58,4
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,22.000000000000000000000000000000,494,1184,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.485638900342633073048403957728,68,4
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,579,2140,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.067123632161878291069179169881,44,4
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4372,4708,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.516350673875631493991988918424,47,4
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4528,1631,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.881354700513647837389896722016,36,4
450,450_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,1716,4118,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.123290968760848052010459241501,38,4
451,451_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,16.000000000000000000000000000000,3665,782,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.825484725764021320948415905150,96,4
452,452_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,18.000000000000000000000000000000,4995,3560,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.534059553489089067213058115158,18,4
453,453_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,28.000000000000000000000000000000,386,1310,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.268525208810344362397870554560,75,4
454,454_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,769,3060,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.161039935365319242244197539549,6,4
455,455_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,26.000000000000000000000000000000,3969,2062,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.894447810241952523391262275254,61,4
456,456_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,17.000000000000000000000000000000,2798,4850,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.745349900070577886523892630066,28,4
457,457_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,64.000000000000000000000000000000,1940,262,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.448532852670177839549126019847,82,4
458,458_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,18.000000000000000000000000000000,2289,3198,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.360335309706628303949571545672,9,4
459,459_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,2994,1692,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.562613234521821103939487329626,51,4
460,460_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,4323,3894,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.795528143938630805109823995735,37,4
461,461_0,FAILED,Sobol,SOBOL,,,960,986,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.031909157423302532408104781325,79,4
462,462_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,113,4645,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.416175468411296600734772255237,48,4
463,463_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,66.000000000000000000000000000000,4567,487,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.649545675633475205756894865772,93,4
464,464_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,3396,2680,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.989701909653842415437452473270,21,4
465,465_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,23.000000000000000000000000000000,1283,2422,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.194922054024413232697909847957,66,4
466,466_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,1416,2608,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.661510420907288843039850689820,99,4
467,467_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,3204,2201,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.395941771721467383748915835895,44,4
468,468_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,13.000000000000000000000000000000,4377,4403,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.244894642800092710022141773152,69,4
469,469_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,243,396,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.947054119462147347974223521305,15,4
470,470_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,18.000000000000000000000000000000,1113,3984,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.621796994268894231971955832705,59,4
471,471_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,4152,1228,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.325014251375570883961785284555,1,4
472,472_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,2825,3421,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.035538297850638625452468488675,88,4
473,473_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,2440,1762,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.768980454927310375090598881798,30,4
474,474_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,2082,4783,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.913720218576490883499729989126,56,4
475,475_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,22.000000000000000000000000000000,2635,35,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.150066934989765282670859392056,10,4
476,476_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,3808,2814,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.492172387760132556966397032738,78,4
477,477_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,19.000000000000000000000000000000,909,1976,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.694416022939607469055545152514,33,4
478,478_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,404,4069,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.762753360178460626528362809040,72,4
479,479_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,3263,4056,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.693601900735629661731707074068,12,4
480,480_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,27.000000000000000000000000000000,3821,817,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.693505221305766528239189483429,3,4
481,481_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1430,1605,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.694277928111335596028652616951,1,4
482,482_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,53,4
483,483_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,3410,2797,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.992314439375213908078876556829,26,4
484,484_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,4466,4835,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.387861382572311563787792465519,1,4
485,485_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,3469,368,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.786206695334093486060567101958,74,4
486,486_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,37.000000000000000000000000000000,141,4276,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.617557001944441963381393634336,100,4
487,487_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4244,1000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.859168903440230669055210910301,100,4
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,2942,4943,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.884265684542498764386664333870,16,4
489,489_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,2595,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,69,4
490,490_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,34.000000000000000000000000000000,3589,4692,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.825535475220631753678901532112,100,4
491,491_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,23.000000000000000000000000000000,723,4453,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.190736692104687993731815254250,8,4
492,492_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,29,225,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.776357771493548787233862640278,3,4
493,493_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,24.000000000000000000000000000000,4079,4563,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.208667040700167200073522622006,64,4
494,494_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,3056,4876,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.682732060099473292424931969435,61,4
495,495_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,2263,4746,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.676425028711176934415050254756,44,4
496,496_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,3013,4615,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.477229745355708667720051607830,100,4
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,4870,2714,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.575075540589032541127778586088,6,4
498,498_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,904,4886,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.818434413133663385409022339445,1,4
499,499_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,4532,4931,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.620227372173000168764644968178,1,4
500,500_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,534,4553,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.710342193368877827808205438487,13,4
501,501_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,25.000000000000000000000000000000,1629,4930,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.371358031574617997172538252926,74,4
502,502_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,4812,1617,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.335139078468949025424450383071,100,4
503,503_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,40.000000000000000000000000000000,654,4212,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.160380823456140325644625477253,100,4
504,504_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,4724,935,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.748335995731576053557887462375,58,4
505,505_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,4497,4318,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.374110141386289341003390518381,46,4
506,506_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,1341,462,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.376772486737254996835844167435,47,4
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,4690,4967,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.462883455819453615287528691624,9,4
508,508_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,68.000000000000000000000000000000,52,495,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.686563078722176478585481618211,80,4
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,210,56,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.678436291850779804590843014012,56,4
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,1506,1482,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.757686294740301580219465904520,47,4
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,22.000000000000000000000000000000,857,1374,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.760954427919403819657873100368,61,4
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,4373,1007,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.738161775080954707384250923496,66,4
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,27.000000000000000000000000000000,2918,4884,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.160467557968879154239871809295,81,4
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,26.000000000000000000000000000000,276,4504,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73,4
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,611,525,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.757808356517279291253430528741,25,4
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,23.000000000000000000000000000000,1019,2924,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.459033005971675456269309734125,35,4
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4485,2694,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.130598571661666662535594696237,1,4
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,999,243,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.520568040475759219454232606950,74,4
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,48.000000000000000000000000000000,5,25,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.304872357302291008274153227831,35,4
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,38.000000000000000000000000000000,4781,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.795218418917496117082066575676,77,4
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,38.000000000000000000000000000000,4260,4591,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.375310800614397699348501191707,100,4
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1981,797,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.753297798661262896224855012406,46,4
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,4765,4057,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.206612345702459315743837464652,53,4
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,1127,4857,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.395263580403901193527360646840,49,4
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1700,327,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.627914172083161248316685032478,28,4
526,526_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,4187,1754,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.021035264321890324856756393501,1,4
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,12.000000000000000000000000000000,4120,429,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72,4
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,1271,3550,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.375532589108464542881904435490,40,4
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,1835,3927,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.758560061288885312258400972496,45,4
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,376,753,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.806427766366486387106249367207,67,4
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,24.000000000000000000000000000000,3159,4210,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.362985629648719498874243072351,59,4
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,3879,553,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.406479882621871790870926588468,59,4
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,4
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,57,4
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,2724,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
537,537_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3261,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,4
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,1907,273,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,94,4
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,1,2353,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1,2074,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41,4
542,537_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,356,449,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,80,4
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,2394,1465,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,99,4
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,1266,4057,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.205230457834746471412756818609,20,4
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,4159,4440,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.997487398266358904486139635992,53,4
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,913,4967,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,53,4
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,26.000000000000000000000000000000,158,4568,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.398760646428364673443667243191,100,4
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,516,4303,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.886835434994469262726113356621,28,4
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,5000,2120,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,3393,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,4
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,7,4736,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.544720771936828329629065592599,63,4
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,12.000000000000000000000000000000,1,2060,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,34,4857,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.384875070364143367918075000489,43,4
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,50.000000000000000000000000000000,4908,68,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.605571399517133013290504095494,45,4
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1012,941,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.175182771718941060479224347546,46,4
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,30.000000000000000000000000000000,548,4820,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.604416925099740764970590589655,84,4
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,1095,665,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.355223214585648539021178748953,35,4
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,3255,1045,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.251497755263716538109974862891,58,4
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,372,375,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.413098540102712907806647990583,53,4
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.570674984048089917187951414235,1,4
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,17,3320,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.279000395429076897269027313087,67,4
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,349,211,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.375180903488953498836622202361,25,4
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,2977,4623,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.841872217476603901253895401169,51,4
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,4256,563,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.843787840869918204234068070946,42,4
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4963,129,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.575205455525753528434051986551,16,4
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,28.000000000000000000000000000000,239,1996,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.941894945523947813015297469974,66,4
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,418,1309,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.909782964886107992086294871115,84,4
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,4706,1417,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.297243727535756563362667748152,46,4
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,4151,4594,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.954910117496595267638781479036,37,4
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,50,185,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.507275980971801709884516640159,4,4
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.600227896710592401241513016430,1,4
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4589,2706,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.111492218216490190929590653468,89,4
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,117,3135,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.161848490802435546198623228520,40,4
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,275,1007,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.826589627836568419105844895967,19,4
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,25.000000000000000000000000000000,4394,3235,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.789683868613253681090213831339,70,4
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,30.000000000000000000000000000000,4613,201,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.493596335104204642085790055717,53,4
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4582,4955,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.585668584808102798966444879625,37,4
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,23.000000000000000000000000000000,178,109,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.519888134356899289656439577811,35,4
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,2939,413,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.906769136363186345484166395181,1,4
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,4560,805,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.974054857197017676107009265252,95,4
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,244,1829,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.232424204471198575516766027249,32,4
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,733,3569,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.771571317456551497571126674302,86,4
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1728,4814,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.327284624426768422367217681312,62,4
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,4836,619,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.587765846387690804597525584541,28,4
586,43_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,4
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,30.000000000000000000000000000000,4882,4560,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.844049705049797927003396580403,97,4
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,828,4377,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.312719300253456622407099985139,23,4
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4372,809,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.111192258438657237684665801680,72,4
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,48.000000000000000000000000000000,951,1191,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.333426112165509880291835997923,81,4
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,12.000000000000000000000000000000,4566,4230,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.407905041654178457388724154953,29,4
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,4619,140,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.819619953216499275150397352263,7,4
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1076,983,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.108995940388235706963726556751,14,4
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4627,466,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.356059741294325937666087611433,1,4
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,843,4652,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.328450456914945509989678384954,94,4
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,23.000000000000000000000000000000,1028,4083,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.818732999667672545207608436613,63,4
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,3694,460,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.877513886905595064114038450498,7,4
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4731,4828,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.590443934582743801264825833641,90,4
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,4832,310,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.653981133158414662531754402153,31,4
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,26.000000000000000000000000000000,4710,4918,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.518903093704772944150249713857,81,4
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,198,733,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.270455973639091795668321083213,21,4
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4561,94,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.611516722416407310092267834989,76,4
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,366,4934,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.583498438895502569145889992797,57,4
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,12.000000000000000000000000000000,3659,1268,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.036907423483559936849829341554,34,4
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,1274,4348,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.980036816474327721060433304956,73,4
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,22.000000000000000000000000000000,2255,870,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.115108295710884628304526700049,52,4
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,2817,1795,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.939374046715613864044769343309,9,4
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,513,1657,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.546881591739282857389525815961,46,4
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,192,4682,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.061430591703743549214511432410,98,4
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,2109,3396,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.017585682828341206440647681575,96,4
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,24.000000000000000000000000000000,4670,508,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.975135851830860933553424274578,54,4
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4009,4838,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.210221407971289686589244638526,77,4
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,1270,269,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.698989917535440707929694781342,68,4
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,267,4459,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.137650333037501126920432170664,91,4
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,706,4624,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.563934084176860528359043200908,23,4
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,1460,98,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.229005302989017806014615530330,23,4
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,1176,3718,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.046769056768142282243250207330,52,4
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,4507,1763,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.808543300079344717801177466754,31,4
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,17,4988,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.652079207424626439149051293498,61,4
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,4039,562,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.699413687612640000423880337621,25,4
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,3017,580,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.756767071289059067851212603273,79,4
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4987,1334,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.852968428179025406343782833574,74,4
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,27.000000000000000000000000000000,4471,3761,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.461934773505865425846650396124,62,4
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,1993,3759,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.188427094900059710624873332563,59,4
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,4835,405,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.342386368108031691193104961712,41,4
626,626_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,4427,708,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.072609235468072699792863033963,95,4
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,1784,4602,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.712646056517939108232440048596,43,4
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,4696,330,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.921795300891017466149435222178,49,4
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,1,3032,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,4

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start_time,end_time,run_time,program_string,recent_samples_size,batch_size,divergence,detect_batch,statistic,significance,subsets,feature_id,ACCURACY,RUNTIME,exit_code,signal,hostname,OO_Info_runtime,OO_Info_peak_memory,OO_Info_mean_memory,OO_Info_lpd,OO_Info_portion_req_label,OO_Info_SLURM_JOB_ID
1744998125,1744998165,40,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 3969 feature_id 4 batch_size 2062 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8944478102419525 subsets 61,3969,2062,str\(\'KL\'\),1,str\(\'tstat\'\),0.8944478102419525,61,4,0.68,26,0,None,i7185,26,513.80078125,506.63046875,-1,0.38282071910390497,4545831
1744998115,1744998174,59,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 769 feature_id 4 batch_size 3060 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.16103993536531924 subsets 6,769,3060,str\(\'H\'\),3,str\(\'stdev\'\),0.16103993536531924,6,4,0.68,14,0,None,i7173,14,522.81640625,522.6787109375,-1,0.18936815396992387,4545775
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 3665 feature_id 4 batch_size 782 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8254847257640213 subsets 96,3665,782,str\(\'H\'\),3,str\(\'tstat\'\),0.8254847257640213,96,4,0.68,16,0,None,i7174,16,525.4140625,525.24609375,-1,0.29036450275388326,4545629
1744998116,1744998176,60,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 1716 feature_id 4 batch_size 4118 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.12329096876084805 subsets 38,1716,4118,str\(\'KL\'\),2,str\(\'stdev\'\),0.12329096876084805,38,4,0.68,14,0,None,i7174,14,525.1640625,524.9599609375,-1,0,4545590
1744998116,1744998180,64,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 4995 feature_id 4 batch_size 3560 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5340595534890891 subsets 18,4995,3560,str\(\'KL\'\),1,str\(\'tstat\'\),0.5340595534890891,18,4,0.68,18,0,None,i7174,18,525.78515625,525.6552734375,-1,0.316913175320255,4545673
1744998115,1744998189,74,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 386 feature_id 4 batch_size 1310 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.26852520881034436 subsets 75,386,1310,str\(\'H\'\),2,str\(\'stdev\'\),0.26852520881034436,75,4,0.68,28,0,None,i7173,28,525.58203125,525.07109375,-1,0.2816387152670338,4545723
1744998192,1744998225,33,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 2798 feature_id 4 batch_size 4850 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7453499000705779 subsets 28,2798,4850,str\(\'H\'\),3,str\(\'tstat\'\),0.7453499000705779,28,4,0.68,17,0,None,i7185,17,514.2890625,511.99609375,-1,0.30014233554056563,4545894
1744998251,1744998330,79,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 1940 feature_id 4 batch_size 262 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.44853285267017784 subsets 82,1940,262,str\(\'KL\'\),1,str\(\'stdev\'\),0.44853285267017784,82,4,0.68,64,0,None,i7185,64,513.87109375,473.9830729166667,-1,0.11949996905749118,4545949
1744998312,1744998345,33,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 2289 feature_id 4 batch_size 3198 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.3603353097066283 subsets 9,2289,3198,str\(\'H\'\),1,str\(\'tstat\'\),0.3603353097066283,9,4,0.68,18,0,None,i7177,18,524.3515625,524.2138671875,-1,0.47001670895476205,4546007
1744998385,1744998418,33,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 4323 feature_id 4 batch_size 3894 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.7955281439386308 subsets 37,4323,3894,str\(\'H\'\),2,str\(\'stdev\'\),0.7955281439386308,37,4,0.68,15,0,None,i7175,15,525.625,525.4287109375,-1,0.24098025867937373,4546161
1744998386,1744998419,33,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 2994 feature_id 4 batch_size 1692 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5626132345218211 subsets 51,2994,1692,str\(\'KL\'\),3,str\(\'stdev\'\),0.5626132345218211,51,4,0.68,15,0,None,i7176,15,525.12890625,524.958984375,-1,0.29512964911195,4546079
1744998391,1744998431,40,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 113 feature_id 4 batch_size 4645 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.4161754684112966 subsets 48,113,4645,str\(\'KL\'\),3,str\(\'tstat\'\),0.4161754684112966,48,4,0.68,14,0,None,i7173,14,525.26171875,525.0908203125,-1,0,4546307
1744998407,1744998454,47,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 3396 feature_id 4 batch_size 2680 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.9897019096538424 subsets 21,3396,2680,str\(\'KL\'\),2,str\(\'stdev\'\),0.9897019096538424,21,4,0.68,14,0,None,i7172,14,524.5,524.2763671875,-1,0.16585184726777646,4546417
1744998432,1744998458,26,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 4377 feature_id 4 batch_size 4403 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.2448946428000927 subsets 69,4377,4403,str\(\'KL\'\),2,str\(\'tstat\'\),0.2448946428000927,69,4,0.68,13,0,None,i7176,13,524.4921875,524.23828125,-1,0,4546660
1744998408,1744998467,59,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 1283 feature_id 4 batch_size 2422 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.19492205402441323 subsets 66,1283,2422,str\(\'H\'\),1,str\(\'tstat\'\),0.19492205402441323,66,4,0.68,23,0,None,i7172,23,524.67578125,524.56328125,-1,0.44965653815211337,4546469
1744998411,1744998468,57,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 3204 feature_id 4 batch_size 2201 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.3959417717214674 subsets 44,3204,2201,str\(\'H\'\),1,str\(\'tstat\'\),0.3959417717214674,44,4,0.68,15,0,None,i7171,15,524.17578125,524.0234375,-1,0.40862677145862986,4546582
1744998411,1744998475,64,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 1416 feature_id 4 batch_size 2608 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.6615104209072888 subsets 99,1416,2608,str\(\'KL\'\),3,str\(\'stdev\'\),0.6615104209072888,99,4,0.68,15,0,None,i7171,15,525.6875,525.4072265625,-1,0.1613961259978959,4546528
1744998395,1744998486,91,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 4567 feature_id 4 batch_size 487 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6495456756334752 subsets 93,4567,487,str\(\'H\'\),2,str\(\'stdev\'\),0.6495456756334752,93,4,0.68,66,0,None,i7173,66,525.984375,525.9053819444445,-1,0.23794789281514944,4546371
1744998539,1744998566,27,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 243 feature_id 4 batch_size 396 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9470541194621473 subsets 15,243,396,str\(\'H\'\),1,str\(\'stdev\'\),0.9470541194621473,15,4,0.68,15,0,None,i7180,15,525.3046875,525.2021484375,-1,0.07351940095302927,4546758
1744999301,1744999334,33,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 2635 feature_id 4 batch_size 35 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.15006693498976528 subsets 10,2635,35,str\(\'KL\'\),1,str\(\'stdev\'\),0.15006693498976528,10,4,0.68,22,0,None,i7175,22,525.42578125,525.3234375,-1,0.2837428058666997,4548660
1744999300,1744999357,57,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 2082 feature_id 4 batch_size 4783 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.9137202185764909 subsets 56,2082,4783,str\(\'H\'\),2,str\(\'tstat\'\),0.9137202185764909,56,4,0.68,14,0,None,i7165,14,526.71484375,525.5322265625,-1,0.2959960393588712,4548638
1744999331,1744999358,27,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 3808 feature_id 4 batch_size 2814 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.49217238776013256 subsets 78,3808,2814,str\(\'H\'\),3,str\(\'stdev\'\),0.49217238776013256,78,4,0.68,14,0,None,i7172,14,524.3984375,524.23046875,-1,0,4548692
1744999300,1744999364,64,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 2440 feature_id 4 batch_size 1762 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.7689804549273104 subsets 30,2440,1762,str\(\'KL\'\),3,str\(\'stdev\'\),0.7689804549273104,30,4,0.68,14,0,None,i7165,14,525.3828125,525.2470703125,-1,0.3124574540503744,4548608
1744999298,1744999367,69,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 4152 feature_id 4 batch_size 1228 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.3250142513755709 subsets 1,4152,1228,str\(\'KL\'\),2,str\(\'tstat\'\),0.3250142513755709,1,4,0.68,15,0,None,i7165,15,524.63671875,524.4111328125,-1,0.45596880995111083,4548577
1744999300,1744999370,70,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 2825 feature_id 4 batch_size 3421 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.035538297850638625 subsets 88,2825,3421,str\(\'H\'\),2,str\(\'tstat\'\),0.035538297850638625,88,4,0.68,15,0,None,i7165,15,524.60546875,524.373046875,-1,0,4548589
1744999304,1744999371,67,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 1113 feature_id 4 batch_size 3984 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6217969942688942 subsets 59,1113,3984,str\(\'H\'\),1,str\(\'stdev\'\),0.6217969942688942,59,4,0.68,18,0,None,i7166,18,525.14453125,525.0341796875,-1,0.369391670276626,4548563
1744999381,1744999414,33,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 909 feature_id 4 batch_size 1976 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6944160229396075 subsets 33,909,1976,str\(\'KL\'\),2,str\(\'tstat\'\),0.6944160229396075,33,4,0.68,19,0,None,i7180,19,525.890625,525.6318359375,-1,0.3654310291478433,4548725
1744999752,1744999778,26,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 404 feature_id 4 batch_size 4069 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7627533601784606 subsets 72,404,4069,str\(\'H\'\),3,str\(\'tstat\'\),0.7627533601784606,72,4,0.68,15,0,None,i7172,15,525.3984375,525.1875,-1,0,4549158
1745000202,1745000234,32,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 3263 feature_id 4 batch_size 4056 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6936019007356297 subsets 12,3263,4056,str\(\'KL\'\),1,str\(\'tstat\'\),0.6936019007356297,12,4,0.68,19,0,None,i7172,19,526.09765625,525.9677734375,-1,0.3783031128163872,4549684
1745000713,1745000753,40,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 3821 feature_id 4 batch_size 817 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6935052213057665 subsets 3,3821,817,str\(\'KL\'\),1,str\(\'tstat\'\),0.6935052213057665,3,4,0.68,27,0,None,i7180,27,524.48046875,524.33984375,-1,0.685252800297048,4550110
1745001087,1745001120,33,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 1430 feature_id 4 batch_size 1605 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6942779281113356 subsets 1,1430,1605,str\(\'KL\'\),3,str\(\'tstat\'\),0.6942779281113356,1,4,0.68,18,0,None,i7170,18,524.484375,524.3271484375,-1,0.27359366297419396,4550539
1745001465,1745001502,37,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 4 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 53,1,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.001,53,4,0.68,10,0,None,i7165,10,524.06640625,520.8857421875,-1,0.3094250881861501,4551219
1745001822,1745001848,26,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 3410 feature_id 4 batch_size 2797 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9923144393752139 subsets 26,3410,2797,str\(\'H\'\),3,str\(\'tstat\'\),0.9923144393752139,26,4,0.68,15,0,None,i7166,15,525.3203125,525.1494140625,-1,0.1730923943313324,4551705
1745002141,1745002174,33,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 4466 feature_id 4 batch_size 4835 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.38786138257231156 subsets 1,4466,4835,str\(\'KL\'\),3,str\(\'stdev\'\),0.38786138257231156,1,4,0.68,16,0,None,i7185,16,515.48828125,498.7939453125,-1,0.29921406027600717,4552034
1745002562,1745002595,33,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 3469 feature_id 4 batch_size 368 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7862066953340935 subsets 74,3469,368,str\(\'KL\'\),3,str\(\'tstat\'\),0.7862066953340935,74,4,0.68,18,0,None,i7180,18,525.44140625,525.2412109375,-1,0.15941580543350456,4552320
1745002993,1745003045,52,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 141 feature_id 4 batch_size 4276 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.617557001944442 subsets 100,141,4276,str\(\'KL\'\),1,str\(\'stdev\'\),0.617557001944442,100,4,0.68,37,0,None,i7173,37,525.5703125,525.4837239583334,-1,0.40553252057676836,4552604
1745003442,1745003468,26,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 4244 feature_id 4 batch_size 1000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8591689034402307 subsets 100,4244,1000,str\(\'H\'\),3,str\(\'stdev\'\),0.8591689034402307,100,4,0.68,15,0,None,i7172,15,525.31640625,525.1650390625,-1,0.061885017637230026,4553028
1745003761,1745003787,26,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 2942 feature_id 4 batch_size 4943 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8842656845424988 subsets 16,2942,4943,str\(\'KL\'\),1,str\(\'stdev\'\),0.8842656845424988,16,4,0.68,15,0,None,i7169,15,525.82421875,525.70703125,-1,0.48808713410483323,4553287
1745004241,1745004268,27,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 4 batch_size 2595 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 69,1,2595,str\(\'H\'\),3,str\(\'stdev\'\),0.999,69,4,0.68,15,0,None,i7169,15,525.12109375,524.9775390625,-1,0.16059162076861191,4553729
1745004689,1745004741,52,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 3589 feature_id 4 batch_size 4692 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8255354752206318 subsets 100,3589,4692,str\(\'KL\'\),1,str\(\'tstat\'\),0.8255354752206318,100,4,0.68,34,0,None,i7167,34,525.69140625,525.5865885416666,-1,0.45702085525094377,4554249
1745005003,1745005043,40,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 723 feature_id 4 batch_size 4453 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.190736692104688 subsets 8,723,4453,str\(\'KL\'\),1,str\(\'stdev\'\),0.190736692104688,8,4,0.68,23,0,None,i7185,23,497.94921875,491.9109375,-1,0.4274398168203478,4554563
1745005484,1745005516,32,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 29 feature_id 4 batch_size 225 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7763577714935488 subsets 3,29,225,str\(\'H\'\),1,str\(\'tstat\'\),0.7763577714935488,3,4,0.68,16,0,None,i7166,16,526.375,525.1767578125,-1,0.628194814035522,4554983
1745005923,1745005963,40,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 4079 feature_id 4 batch_size 4563 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.2086670407001672 subsets 64,4079,4563,str\(\'H\'\),1,str\(\'stdev\'\),0.2086670407001672,64,4,0.68,24,0,None,i7170,24,523.16796875,523.0546875,-1,0.4410545207005384,4555387
1745006424,1745006450,26,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 3056 feature_id 4 batch_size 4876 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6827320600994733 subsets 61,3056,4876,str\(\'KL\'\),1,str\(\'stdev\'\),0.6827320600994733,61,4,0.68,16,0,None,i7168,16,526.140625,526.0244140625,-1,0.47979454174144437,4555798
1745006883,1745006909,26,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 2263 feature_id 4 batch_size 4746 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6764250287111769 subsets 44,2263,4746,str\(\'KL\'\),3,str\(\'tstat\'\),0.6764250287111769,44,4,0.68,14,0,None,i7169,14,525.73046875,525.552734375,-1,0,4556202
1745007303,1745007329,26,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 3013 feature_id 4 batch_size 4615 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.47722974535570867 subsets 100,3013,4615,str\(\'KL\'\),3,str\(\'stdev\'\),0.47722974535570867,100,4,0.68,13,0,None,i7169,13,525.76171875,525.6220703125,-1,0,4556579
1745007794,1745007821,27,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 4870 feature_id 4 batch_size 2714 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5750755405890325 subsets 6,4870,2714,str\(\'KL\'\),3,str\(\'tstat\'\),0.5750755405890325,6,4,0.68,16,0,None,i7180,16,524.796875,524.587890625,-1,0.16795593786744228,4557041
1745008275,1745008301,26,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 904 feature_id 4 batch_size 4886 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8184344131336634 subsets 1,904,4886,str\(\'KL\'\),3,str\(\'stdev\'\),0.8184344131336634,1,4,0.68,16,0,None,i7170,16,525.203125,525.0361328125,-1,0.3023701961755059,4557514
1745008744,1745008777,33,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 4532 feature_id 4 batch_size 4931 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6202273721730002 subsets 1,4532,4931,str\(\'H\'\),3,str\(\'tstat\'\),0.6202273721730002,1,4,0.68,16,0,None,i7185,16,457.6484375,443.2236328125,-1,0.30515502196918126,4557962
1745009103,1745009136,33,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 534 feature_id 4 batch_size 4553 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7103421933688778 subsets 13,534,4553,str\(\'H\'\),1,str\(\'tstat\'\),0.7103421933688778,13,4,0.68,19,0,None,i7169,19,524.3828125,524.2294921875,-1,0.4398168203477938,4558282
1745009585,1745009624,39,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 1629 feature_id 4 batch_size 4930 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.371358031574618 subsets 74,1629,4930,str\(\'KL\'\),1,str\(\'tstat\'\),0.371358031574618,74,4,0.68,25,0,None,i7185,25,526.1796875,526.0328125,-1,0.48647812364626525,4558674
1745010104,1745010137,33,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 4812 feature_id 4 batch_size 1617 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.335139078468949 subsets 100,4812,1617,str\(\'H\'\),3,str\(\'stdev\'\),0.335139078468949,100,4,0.68,18,0,None,i7173,18,524.61328125,524.4970703125,-1,0.276564143820781,4559089
1745010685,1745010737,52,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 654 feature_id 4 batch_size 4212 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.16038082345614033 subsets 100,654,4212,str\(\'H\'\),1,str\(\'stdev\'\),0.16038082345614033,100,4,0.68,40,0,None,i7173,40,525.8515625,525.7862723214286,-1,0.3976112383192029,4559592
1745011155,1745011189,34,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 4724 feature_id 4 batch_size 935 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.748335995731576 subsets 58,4724,935,str\(\'H\'\),3,str\(\'tstat\'\),0.748335995731576,58,4,0.68,18,0,None,i7180,18,524.53515625,524.3779296875,-1,0.16560430719722755,4560050
1745011564,1745011591,27,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 4497 feature_id 4 batch_size 4318 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.37411014138628934 subsets 46,4497,4318,str\(\'H\'\),3,str\(\'tstat\'\),0.37411014138628934,46,4,0.68,14,0,None,i7170,14,524.7734375,524.5615234375,-1,0,4560439
1745011865,1745011897,32,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 1341 feature_id 4 batch_size 462 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.376772486737255 subsets 47,1341,462,str\(\'KL\'\),1,str\(\'stdev\'\),0.376772486737255,47,4,0.68,20,0,None,i7169,20,524.7109375,524.5966796875,-1,0.11436351259360109,4560703
1745012236,1745012269,33,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 4690 feature_id 4 batch_size 4967 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4628834558194536 subsets 9,4690,4967,str\(\'H\'\),1,str\(\'tstat\'\),0.4628834558194536,9,4,0.68,20,0,None,i7173,20,524.96484375,524.82578125,-1,0.49105761495142025,4561045
1745012767,1745012852,85,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 52 feature_id 4 batch_size 495 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6865630787221765 subsets 80,52,495,str\(\'H\'\),1,str\(\'stdev\'\),0.6865630787221765,80,4,0.68,68,0,None,i7185,68,514.0546875,442.5412326388889,-1,0.30515502196918126,4561459
1745013140,1745013173,33,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 210 feature_id 4 batch_size 56 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.6784362918507798 subsets 56,210,56,str\(\'KL\'\),3,str\(\'stdev\'\),0.6784362918507798,56,4,0.68,19,0,None,i7180,19,524.21875,524.060546875,-1,0.21591682653629557,4561773
1745013526,1745013558,32,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 1506 feature_id 4 batch_size 1482 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7576862947403016 subsets 47,1506,1482,str\(\'KL\'\),1,str\(\'tstat\'\),0.7576862947403016,47,4,0.68,20,0,None,i7169,20,525.58203125,525.4765625,-1,0.2751407884151247,4562098
1745013827,1745013859,32,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 857 feature_id 4 batch_size 1374 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7609544279194038 subsets 61,857,1374,str\(\'H\'\),1,str\(\'tstat\'\),0.7609544279194038,61,4,0.68,22,0,None,i7168,22,524.6171875,524.51171875,-1,0.3401200569342162,4562348
1745014397,1745014423,26,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 4373 feature_id 4 batch_size 1007 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.7381617750809547 subsets 66,4373,1007,str\(\'KL\'\),3,str\(\'stdev\'\),0.7381617750809547,66,4,0.68,16,0,None,i7180,16,524.71484375,524.533203125,-1,0.12463642552138128,4562823
1745014937,1745014976,39,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 2918 feature_id 4 batch_size 4884 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.16046755796887915 subsets 81,2918,4884,str\(\'H\'\),1,str\(\'stdev\'\),0.16046755796887915,81,4,0.68,27,0,None,i7173,27,525.62890625,525.53359375,-1,0.4807847020236401,4563288
1745015447,1745015486,39,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 276 feature_id 4 batch_size 4504 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 73,276,4504,str\(\'H\'\),1,str\(\'tstat\'\),0.999,73,4,0.68,26,0,None,i7169,26,525.75390625,525.63359375,-1,0.4337520886193453,4563725
1745015958,1745015991,33,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 611 feature_id 4 batch_size 525 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7578083565172793 subsets 25,611,525,str\(\'KL\'\),1,str\(\'tstat\'\),0.7578083565172793,25,4,0.68,21,0,None,i7173,21,524.8984375,524.78515625,-1,0.32489634259545763,4564132
1745016406,1745016446,40,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 1019 feature_id 4 batch_size 2924 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.45903300597167546 subsets 35,1019,2924,str\(\'KL\'\),1,str\(\'tstat\'\),0.45903300597167546,35,4,0.68,23,0,None,i7180,23,525.4921875,525.38046875,-1,0.41914722445695896,4564487
1745016846,1745016872,26,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 4485 feature_id 4 batch_size 2694 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.13059857166166666 subsets 1,4485,2694,str\(\'H\'\),3,str\(\'tstat\'\),0.13059857166166666,1,4,0.68,15,0,None,i7180,15,524.8359375,524.6494140625,-1,0,4564809
1745017367,1745017400,33,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 999 feature_id 4 batch_size 243 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5205680404757592 subsets 74,999,243,str\(\'KL\'\),3,str\(\'tstat\'\),0.5205680404757592,74,4,0.68,19,0,None,i7170,19,526.25,526.0556640625,-1,0.22557088928770344,4565233
1745017907,1745017973,66,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 5 feature_id 4 batch_size 25 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.304872357302291 subsets 35,5,25,str\(\'KL\'\),1,str\(\'stdev\'\),0.304872357302291,35,4,0.68,48,0,None,i7185,48,452.8359375,425.23549107142856,-1,0.25527569775357384,4565674
1745018298,1745018351,53,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 4781 feature_id 4 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.7952184189174961 subsets 77,4781,1,str\(\'H\'\),3,str\(\'stdev\'\),0.7952184189174961,77,4,0.68,38,0,None,i7173,38,524.796875,524.7239583333334,-1,0.2190729624357943,4566011
1745018838,1745018890,52,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 4260 feature_id 4 batch_size 4591 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3753108006143977 subsets 100,4260,4591,str\(\'H\'\),1,str\(\'stdev\'\),0.3753108006143977,100,4,0.68,38,0,None,i7169,38,525.72265625,525.6510416666666,-1,0.44452008168822327,4566465
1745019208,1745019241,33,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 1981 feature_id 4 batch_size 797 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7532977986612629 subsets 46,1981,797,str\(\'H\'\),1,str\(\'stdev\'\),0.7532977986612629,46,4,0.68,18,0,None,i7180,18,524.484375,524.3369140625,-1,0.09864471811374466,4566745
1745019567,1745019594,27,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 4765 feature_id 4 batch_size 4057 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.20661234570245932 subsets 53,4765,4057,str\(\'KL\'\),3,str\(\'tstat\'\),0.20661234570245932,53,4,0.68,14,0,None,i7170,14,524.4453125,524.2294921875,-1,0,4567010
1745020072,1745020105,33,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 1127 feature_id 4 batch_size 4857 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3952635804039012 subsets 49,1127,4857,str\(\'H\'\),1,str\(\'stdev\'\),0.3952635804039012,49,4,0.68,20,0,None,i7169,20,525.16796875,525.05078125,-1,0.47744291107122966,4567374
1745020609,1745020642,33,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 1700 feature_id 4 batch_size 327 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6279141720831612 subsets 28,1700,327,str\(\'KL\'\),1,str\(\'stdev\'\),0.6279141720831612,28,4,0.68,18,0,None,i7185,18,520.0078125,504.8388671875,-1,0.06070920230212266,4567781
1745021109,1745021143,34,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 4187 feature_id 4 batch_size 1754 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.021035264321890325 subsets 1,4187,1754,str\(\'H\'\),3,str\(\'tstat\'\),0.021035264321890325,1,4,0.68,20,0,None,i7173,20,525.62890625,525.4953125,-1,0.31047713348598305,4568217
1745021668,1745021694,26,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 4120 feature_id 4 batch_size 429 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 72,4120,429,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,72,4,0.68,12,0,None,i7168,12,525.70703125,525.5791015625,-1,0.10619469026548672,4568657
1745022150,1745022183,33,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 1271 feature_id 4 batch_size 3550 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.37553258910846454 subsets 40,1271,3550,str\(\'KL\'\),1,str\(\'tstat\'\),0.37553258910846454,40,4,0.68,20,0,None,i7169,20,525.59375,525.4423828125,-1,0.31567547496751036,4569021
1745022681,1745022708,27,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 1835 feature_id 4 batch_size 3927 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7585600612888853 subsets 45,1835,3927,str\(\'KL\'\),3,str\(\'tstat\'\),0.7585600612888853,45,4,0.68,14,0,None,i7173,14,524.3828125,524.2001953125,-1,0.2430224642614023,4569380
1745023289,1745023316,27,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 376 feature_id 4 batch_size 753 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8064277663664864 subsets 67,376,753,str\(\'KL\'\),3,str\(\'stdev\'\),0.8064277663664864,67,4,0.68,17,0,None,i7173,17,524.6015625,524.4384765625,-1,0.23299709140417105,4569845
1745023879,1745023919,40,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 3159 feature_id 4 batch_size 4210 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3629856296487195 subsets 59,3159,4210,str\(\'KL\'\),1,str\(\'stdev\'\),0.3629856296487195,59,4,0.68,24,0,None,i7185,24,525.1015625,524.99375,-1,0.397363698248654,4570335
1745024470,1745024503,33,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 3879 feature_id 4 batch_size 553 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.4064798826218718 subsets 59,3879,553,str\(\'KL\'\),3,str\(\'tstat\'\),0.4064798826218718,59,4,0.68,18,0,None,i7173,18,525.79296875,525.6015625,-1,0.27377931802710564,4570846
1745024960,1745024986,26,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 4 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,5000,5000,str\(\'H\'\),3,str\(\'stdev\'\),0.001,100,4,0.68,15,0,None,i7169,15,524.921875,524.7900390625,-1,0.3094250881861501,4571218
1745025430,1745025457,27,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 4 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 57,1,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,57,4,0.68,16,0,None,i7180,16,526.08984375,525.92578125,-1,0.3094250881861501,4571533
1745025891,1745025924,33,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 4 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,5000,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,4,0.68,19,0,None,i7185,19,525.32421875,525.11328125,-1,0.4951420261154774,4571840
1745026460,1745026487,27,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 4 batch_size 2724 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,2724,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,1,4,0.68,16,0,None,i7170,16,524.40625,524.263671875,-1,0.1685747880438146,4572244
1745027191,1745027204,13,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 5000 feature_id 4 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,4,None,None,1,None,i7170,,,,,,4572803
1745028012,1745028037,25,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 4 batch_size 3261 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,5000,3261,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,100,4,0.68,12,0,None,i7168,12,525.72265625,525.583984375,-1,0.2018070425150071,4573438
1745028811,1745028837,26,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 1907 feature_id 4 batch_size 273 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 94,1907,273,str\(\'H\'\),3,str\(\'stdev\'\),0.999,94,4,0.68,14,0,None,i7169,14,525.328125,525.203125,-1,0.08447304907481899,4574028
1745029632,1745029666,34,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 4 batch_size 2353 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,2353,str\(\'H\'\),3,str\(\'tstat\'\),0.001,1,4,0.68,19,0,None,i7173,19,525.62109375,525.4228515625,-1,0.2912308930008045,4574623
1745030392,1745030425,33,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 4 batch_size 2074 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 41,1,2074,str\(\'H\'\),3,str\(\'stdev\'\),0.001,41,4,0.68,18,0,None,i7173,18,525.390625,525.232421875,-1,0.25669905315923014,4575163
1745031152,1745031165,13,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 5000 feature_id 4 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,4,None,None,1,None,i7170,,,,,,4575712
1745032253,1745032285,32,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 356 feature_id 4 batch_size 449 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 80,356,449,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,80,4,0.68,18,0,None,i7170,18,525.40625,525.220703125,-1,0.2653010706108051,4576499
1745032853,1745032886,33,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 2394 feature_id 4 batch_size 1465 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 99,2394,1465,str\(\'H\'\),3,str\(\'tstat\'\),0.999,99,4,0.68,18,0,None,i7185,18,525.87890625,525.6865234375,-1,0.3295996039358871,4576920
1745033333,1745033366,33,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 1266 feature_id 4 batch_size 4057 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.20523045783474647 subsets 20,1266,4057,str\(\'KL\'\),1,str\(\'tstat\'\),0.20523045783474647,20,4,0.68,20,0,None,i7173,20,525.76953125,525.6265625,-1,0.3784268828516616,4577225
1745033812,1745033839,27,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 4159 feature_id 4 batch_size 4440 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9974873982663589 subsets 53,4159,4440,str\(\'H\'\),3,str\(\'tstat\'\),0.9974873982663589,53,4,0.68,13,0,None,i7170,13,525.84765625,525.6640625,-1,0,4577536
1745034413,1745034446,33,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 913 feature_id 4 batch_size 4967 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 53,913,4967,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,53,4,0.68,17,0,None,i7185,17,525.6796875,525.4931640625,-1,0.30738288260412155,4577933
1745034953,1745034991,38,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 158 feature_id 4 batch_size 4568 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.3987606464283647 subsets 100,158,4568,str\(\'H\'\),1,str\(\'tstat\'\),0.3987606464283647,100,4,0.68,26,0,None,i7169,26,524.7265625,524.59765625,-1,0.4416733708769107,4578328
1745035515,1745035542,27,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 516 feature_id 4 batch_size 4303 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8868354349944693 subsets 28,516,4303,str\(\'KL\'\),3,str\(\'stdev\'\),0.8868354349944693,28,4,0.68,14,0,None,i7173,14,524.8125,524.6416015625,-1,0,4578711
1745036423,1745036449,26,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 4 batch_size 2120 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,2120,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,1,4,0.68,16,0,None,i7170,16,526.19921875,526.076171875,-1,0.2623924747818553,4579311
1745037084,1745037111,27,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 4 batch_size 3393 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,3393,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,1,4,0.68,15,0,None,i7173,15,525.06640625,524.849609375,-1,0,4579728
1745037718,1745037752,34,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 7 feature_id 4 batch_size 4736 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5447207719368283 subsets 63,7,4736,str\(\'KL\'\),3,str\(\'tstat\'\),0.5447207719368283,63,4,0.68,16,0,None,i7180,16,524.6171875,524.3994140625,-1,0,4580097
1745038213,1745038238,25,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 4 batch_size 2060 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,2060,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,1,4,0.68,12,0,None,i7169,12,525.8359375,525.6982421875,-1,0.2549662726653877,4580423
1745038735,1745038767,32,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 34 feature_id 4 batch_size 4857 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.38487507036414337 subsets 43,34,4857,str\(\'KL\'\),1,str\(\'tstat\'\),0.38487507036414337,43,4,0.68,20,0,None,i7185,20,525.18359375,525.029296875,-1,0.47744291107122966,4580777
1745039365,1745039430,65,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 4908 feature_id 4 batch_size 68 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.605571399517133 subsets 45,4908,68,str\(\'KL\'\),1,str\(\'tstat\'\),0.605571399517133,45,4,0.68,50,0,None,i7185,50,525.05078125,524.9419642857143,-1,0.32402995234853643,4581206
1745039995,1745040021,26,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 1012 feature_id 4 batch_size 941 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.17518277171894106 subsets 46,1012,941,str\(\'KL\'\),3,str\(\'tstat\'\),0.17518277171894106,46,4,0.68,16,0,None,i7173,16,525.4453125,525.236328125,-1,0.16746085772634445,4581588
1745040566,1745040612,46,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 548 feature_id 4 batch_size 4820 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6044169250997408 subsets 84,548,4820,str\(\'KL\'\),1,str\(\'stdev\'\),0.6044169250997408,84,4,0.68,30,0,None,i7180,30,524.859375,524.7630208333334,-1,0.47286341976607466,4581922
1745041045,1745041078,33,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 1095 feature_id 4 batch_size 665 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.35522321458564854 subsets 35,1095,665,str\(\'KL\'\),3,str\(\'tstat\'\),0.35522321458564854,35,4,0.68,17,0,None,i7185,17,524.5234375,524.3291015625,-1,0.16461414691503187,4582200
1745041615,1745041648,33,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 3255 feature_id 4 batch_size 1045 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.25149775526371654 subsets 58,3255,1045,str\(\'KL\'\),1,str\(\'stdev\'\),0.25149775526371654,58,4,0.68,20,0,None,i7185,20,524.65234375,524.53359375,-1,0.12933968686181074,4582535
1745042185,1745042218,33,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 372 feature_id 4 batch_size 375 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4130985401027129 subsets 53,372,375,str\(\'KL\'\),3,str\(\'stdev\'\),0.4130985401027129,53,4,0.68,18,0,None,i7180,18,524.89453125,524.736328125,-1,0.24760195556655734,4582890
1745042716,1745042742,26,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 4 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5706749840480899 subsets 1,1,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.5706749840480899,1,4,0.68,16,0,None,i7185,16,524.0625,523.8701171875,-1,0.3094250881861501,4583204
1745043137,1745043172,35,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 17 feature_id 4 batch_size 3320 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.2790003954290769 subsets 67,17,3320,str\(\'H\'\),3,str\(\'tstat\'\),0.2790003954290769,67,4,0.68,18,0,None,i7180,18,525.3046875,525.09765625,-1,0.20545825855560368,4583451
1745043676,1745043710,34,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 349 feature_id 4 batch_size 211 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3751809034889535 subsets 25,349,211,str\(\'H\'\),1,str\(\'stdev\'\),0.3751809034889535,25,4,0.68,20,0,None,i7173,20,524.56640625,524.44921875,-1,0.12438888545083235,4583777
1745044216,1745044242,26,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 2977 feature_id 4 batch_size 4623 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8418722174766039 subsets 51,2977,4623,str\(\'KL\'\),3,str\(\'tstat\'\),0.8418722174766039,51,4,0.68,15,0,None,i7180,15,525.29296875,525.09375,-1,0,4584202
1745044706,1745044739,33,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 4256 feature_id 4 batch_size 563 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8437878408699182 subsets 42,4256,563,str\(\'H\'\),1,str\(\'stdev\'\),0.8437878408699182,42,4,0.68,21,0,None,i7185,21,524.5390625,524.43203125,-1,0.20904758957856304,4584508
1745045316,1745045354,38,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 4963 feature_id 4 batch_size 129 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5752054555257535 subsets 16,4963,129,str\(\'KL\'\),3,str\(\'tstat\'\),0.5752054555257535,16,4,0.68,19,0,None,i7173,19,445.015625,426.615234375,-1,0.21554551643047218,4584961
1745045816,1745045855,39,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 239 feature_id 4 batch_size 1996 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9418949455239478 subsets 66,239,1996,str\(\'H\'\),1,str\(\'tstat\'\),0.9418949455239478,66,4,0.68,28,0,None,i7180,28,524.5234375,524.403125,-1,0.37038183055882173,4585240
1745046331,1745046364,33,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 418 feature_id 4 batch_size 1309 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.909782964886108 subsets 84,418,1309,str\(\'KL\'\),3,str\(\'stdev\'\),0.909782964886108,84,4,0.68,19,0,None,i7180,19,524.8984375,524.75,-1,0.2813292901788477,4585533
1745046776,1745046816,40,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 4706 feature_id 4 batch_size 1417 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.29724372753575656 subsets 46,4706,1417,str\(\'H\'\),3,str\(\'tstat\'\),0.29724372753575656,46,4,0.68,17,0,None,i7185,17,509.796875,485.64453125,-1,0.22705612971099698,4585782
1745047277,1745047316,39,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 4151 feature_id 4 batch_size 4594 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9549101174965953 subsets 37,4151,4594,str\(\'H\'\),1,str\(\'stdev\'\),0.9549101174965953,37,4,0.68,18,0,None,i7170,18,464.5078125,440.9501953125,-1,0.4448913917940467,4586062
1745047739,1745047778,39,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 50 feature_id 4 batch_size 185 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5072759809718017 subsets 4,50,185,str\(\'H\'\),3,str\(\'stdev\'\),0.5072759809718017,4,4,0.68,17,0,None,i7185,17,472.48828125,456.2314453125,-1,0.2289745652577511,4586309
1745048357,1745048383,26,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 4 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6002278967105924 subsets 1,1,5000,str\(\'KL\'\),3,str\(\'tstat\'\),0.6002278967105924,1,4,0.68,15,0,None,i7180,15,525.34765625,525.146484375,-1,0.3094250881861501,4586675
1745048838,1745048871,33,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 4589 feature_id 4 batch_size 2706 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.11149221821649019 subsets 89,4589,2706,str\(\'H\'\),3,str\(\'tstat\'\),0.11149221821649019,89,4,0.68,15,0,None,i7173,15,511.9453125,480.337890625,-1,0,4586946
1745049377,1745049410,33,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 117 feature_id 4 batch_size 3135 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.16184849080243555 subsets 40,117,3135,str\(\'KL\'\),1,str\(\'stdev\'\),0.16184849080243555,40,4,0.68,20,0,None,i7180,20,524.38671875,524.27265625,-1,0.4583204406213256,4587261
1745049807,1745049834,27,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 275 feature_id 4 batch_size 1007 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8265896278365684 subsets 19,275,1007,str\(\'H\'\),1,str\(\'tstat\'\),0.8265896278365684,19,4,0.68,17,0,None,i7185,17,523.12890625,517.0478515625,-1,0.24927285104276256,4587499
1745050357,1745050397,40,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 4394 feature_id 4 batch_size 3235 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7896838686132537 subsets 70,4394,3235,str\(\'KL\'\),1,str\(\'tstat\'\),0.7896838686132537,70,4,0.68,25,0,None,i7173,25,506.86328125,465.4578125,-1,0.27668791385605546,4587815
1745050978,1745051017,39,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 4613 feature_id 4 batch_size 201 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.49359633510420464 subsets 53,4613,201,str\(\'KL\'\),1,str\(\'tstat\'\),0.49359633510420464,53,4,0.68,30,0,None,i7180,30,524.40234375,524.283203125,-1,0.1741444396311653,4588151
1745051538,1745051571,33,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 4582 feature_id 4 batch_size 4955 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5856685848081028 subsets 37,4582,4955,str\(\'H\'\),3,str\(\'tstat\'\),0.5856685848081028,37,4,0.68,15,0,None,i7173,15,518.0703125,505.2587890625,-1,0.30664026239247477,4588450
1745051978,1745052017,39,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 178 feature_id 4 batch_size 109 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5198881343568993 subsets 35,178,109,str\(\'KL\'\),1,str\(\'tstat\'\),0.5198881343568993,35,4,0.68,23,0,None,i7173,23,518.59375,501.15546875,-1,0.1753821399839099,4588695
1745052628,1745052668,40,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 2939 feature_id 4 batch_size 413 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.9067691363631863 subsets 1,2939,413,str\(\'H\'\),3,str\(\'stdev\'\),0.9067691363631863,1,4,0.68,18,0,None,i7185,18,507.8984375,494.822265625,-1,0.204468098273408,4589026
1745053278,1745053310,32,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 4560 feature_id 4 batch_size 805 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.9740548571970177 subsets 95,4560,805,str\(\'KL\'\),3,str\(\'stdev\'\),0.9740548571970177,95,4,0.68,13,0,None,i7170,13,465.9296875,451.8203125,-1,0.04981743919797017,4589389
1745053835,1745053874,39,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 244 feature_id 4 batch_size 1829 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.23242420447119858 subsets 32,244,1829,str\(\'KL\'\),1,str\(\'stdev\'\),0.23242420447119858,32,4,0.68,17,0,None,i7170,17,459.49609375,447.7919921875,-1,0.33956309177548116,4589686
1745054400,1745054445,45,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 733 feature_id 4 batch_size 3569 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.7715713174565515 subsets 86,733,3569,str\(\'KL\'\),3,str\(\'stdev\'\),0.7715713174565515,86,4,0.68,18,0,None,i7185,18,471.35546875,456.9169921875,-1,0.22086762794727396,4589990
1745054899,1745054932,33,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 1728 feature_id 4 batch_size 4814 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.3272846244267684 subsets 62,1728,4814,str\(\'H\'\),3,str\(\'tstat\'\),0.3272846244267684,62,4,0.68,15,0,None,i7173,15,517.75390625,492.7548828125,-1,0.29791447490562534,4590252
1745055538,1745055564,26,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 4836 feature_id 4 batch_size 619 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5877658463876908 subsets 28,4836,619,str\(\'KL\'\),1,str\(\'stdev\'\),0.5877658463876908,28,4,0.68,14,0,None,i7183,14,525.52734375,525.42578125,-1,0.19153412958722693,4590621
1745056319,1745056332,13,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 5000 feature_id 4 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,4,None,None,1,None,i7183,,,,,,4591056
1745056979,1745057030,51,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 4882 feature_id 4 batch_size 4560 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8440497050497979 subsets 97,4882,4560,str\(\'H\'\),1,str\(\'tstat\'\),0.8440497050497979,97,4,0.68,30,0,None,i7173,30,511.234375,481.66953125,-1,0.44068321059471505,4591393
1745057639,1745057672,33,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 828 feature_id 4 batch_size 4377 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.3127193002534566 subsets 23,828,4377,str\(\'KL\'\),1,str\(\'tstat\'\),0.3127193002534566,23,4,0.68,19,0,None,i7183,19,525.68359375,525.5341796875,-1,0.4180332941394888,4591729
1745058119,1745058146,27,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 4372 feature_id 4 batch_size 809 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.11119225843865724 subsets 72,4372,809,str\(\'KL\'\),3,str\(\'tstat\'\),0.11119225843865724,72,4,0.68,15,0,None,i7185,15,479.24609375,465.205078125,-1,0.05006497926851909,4591985
1745058684,1745058749,65,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 951 feature_id 4 batch_size 1191 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3334261121655099 subsets 81,951,1191,str\(\'H\'\),1,str\(\'stdev\'\),0.3334261121655099,81,4,0.68,48,0,None,i7183,48,525.3984375,525.31640625,-1,0.3685252800297048,4592308
1745059140,1745059166,26,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 4566 feature_id 4 batch_size 4230 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.40790504165417846 subsets 29,4566,4230,str\(\'KL\'\),3,str\(\'tstat\'\),0.40790504165417846,29,4,0.68,12,0,None,i7180,12,524.8359375,524.6611328125,-1,0,4592545
1745059707,1745059740,33,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 4619 feature_id 4 batch_size 140 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8196199532164993 subsets 7,4619,140,str\(\'H\'\),3,str\(\'tstat\'\),0.8196199532164993,7,4,0.68,17,0,None,i7183,17,524.4375,524.2392578125,-1,0.17327804938424407,4592847
1745060287,1745060320,33,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 1076 feature_id 4 batch_size 983 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.10899594038823571 subsets 14,1076,983,str\(\'KL\'\),1,str\(\'stdev\'\),0.10899594038823571,14,4,0.68,18,0,None,i7183,18,525.2734375,525.140625,-1,0.3649978340243827,4593156
1745061062,1745061095,33,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 4627 feature_id 4 batch_size 466 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.35605974129432594 subsets 1,4627,466,str\(\'H\'\),3,str\(\'stdev\'\),0.35605974129432594,1,4,0.68,19,0,None,i7180,19,525.08203125,524.9501953125,-1,0.25954576397054274,4593565
1745061620,1745061647,27,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 843 feature_id 4 batch_size 4652 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.3284504569149455 subsets 94,843,4652,str\(\'KL\'\),3,str\(\'stdev\'\),0.3284504569149455,94,4,0.68,14,0,None,i7183,14,524.921875,524.7978515625,-1,0,4593876
1745062280,1745062313,33,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 1028 feature_id 4 batch_size 4083 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8187329996676725 subsets 63,1028,4083,str\(\'KL\'\),1,str\(\'tstat\'\),0.8187329996676725,63,4,0.68,23,0,None,i7183,23,524.65625,524.5484375,-1,0.38164490376879756,4594231
1745062880,1745062907,27,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 3694 feature_id 4 batch_size 460 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8775138869055951 subsets 7,3694,460,str\(\'KL\'\),3,str\(\'stdev\'\),0.8775138869055951,7,4,0.68,17,0,None,i7183,17,524.296875,524.16015625,-1,0.1992697567918807,4594553
1745063402,1745063434,32,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 4731 feature_id 4 batch_size 4828 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5904439345827438 subsets 90,4731,4828,str\(\'KL\'\),3,str\(\'stdev\'\),0.5904439345827438,90,4,0.68,15,0,None,i7185,15,478.09765625,461.8876953125,-1,0.2987808651525466,4594811
1745064080,1745064107,27,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 4832 feature_id 4 batch_size 310 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6539811331584147 subsets 31,4832,310,str\(\'H\'\),1,str\(\'tstat\'\),0.6539811331584147,31,4,0.68,18,0,None,i7183,18,524.62109375,524.486328125,-1,0.17265919920787176,4595154
1745064781,1745064820,39,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 4710 feature_id 4 batch_size 4918 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5189030937047729 subsets 81,4710,4918,str\(\'KL\'\),1,str\(\'stdev\'\),0.5189030937047729,81,4,0.68,26,0,None,i7183,26,526.3359375,526.22890625,-1,0.48499288322297174,4595546
1745065381,1745065407,26,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 198 feature_id 4 batch_size 733 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.2704559736390918 subsets 21,198,733,str\(\'KL\'\),3,str\(\'stdev\'\),0.2704559736390918,21,4,0.68,16,0,None,i7180,16,526.015625,525.8466796875,-1,0.18144687171235843,4595861
1745066134,1745066167,33,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 4561 feature_id 4 batch_size 94 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6115167224164073 subsets 76,4561,94,str\(\'KL\'\),3,str\(\'tstat\'\),0.6115167224164073,76,4,0.68,19,0,None,i7180,19,525.5546875,525.384765625,-1,0.22105328300018565,4596256
1745066761,1745066787,26,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 366 feature_id 4 batch_size 4934 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5834984388955026 subsets 57,366,4934,str\(\'KL\'\),1,str\(\'stdev\'\),0.5834984388955026,57,4,0.68,17,0,None,i7183,17,525.14453125,525.0283203125,-1,0.4869732037873631,4596586
1745067269,1745067295,26,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 3659 feature_id 4 batch_size 1268 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.03690742348355994 subsets 34,3659,1268,str\(\'H\'\),3,str\(\'tstat\'\),0.03690742348355994,34,4,0.68,12,0,None,i7183,12,525.25390625,525.044921875,-1,0.07847020236400767,4596834
1745067782,1745067808,26,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 1274 feature_id 4 batch_size 4348 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.9800368164743277 subsets 73,1274,4348,str\(\'KL\'\),3,str\(\'stdev\'\),0.9800368164743277,73,4,0.68,13,0,None,i7185,13,520.2890625,499.810546875,-1,0,4597083
1745068463,1745068502,39,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 2255 feature_id 4 batch_size 870 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.11510829571088463 subsets 52,2255,870,str\(\'H\'\),1,str\(\'tstat\'\),0.11510829571088463,52,4,0.68,22,0,None,i7185,22,520.984375,493.22421875,-1,0.2153598613775605,4597439
1745069072,1745069097,25,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 2817 feature_id 4 batch_size 1795 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9393740467156139 subsets 9,2817,1795,str\(\'H\'\),1,str\(\'tstat\'\),0.9393740467156139,9,4,0.68,17,0,None,i7180,17,524.93359375,524.798828125,-1,0.3332508199764837,4597758
1745069672,1745069705,33,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 513 feature_id 4 batch_size 1657 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5468815917392829 subsets 46,513,1657,str\(\'KL\'\),1,str\(\'stdev\'\),0.5468815917392829,46,4,0.68,20,0,None,i7185,20,524.296875,518.3212890625,-1,0.20508694844978032,4598047
1745070383,1745070415,32,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 192 feature_id 4 batch_size 4682 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.06143059170374355 subsets 98,192,4682,str\(\'KL\'\),3,str\(\'stdev\'\),0.06143059170374355,98,4,0.68,14,0,None,i7183,14,519.44140625,498.80859375,-1,0,4598415
1745071062,1745071089,27,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 2109 feature_id 4 batch_size 3396 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.017585682828341206 subsets 96,2109,3396,str\(\'H\'\),3,str\(\'stdev\'\),0.017585682828341206,96,4,0.68,15,0,None,i7185,15,516.37890625,499.2607421875,-1,0.21016151989603318,4598738
1745071682,1745071721,39,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 4670 feature_id 4 batch_size 508 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9751358518308609 subsets 54,4670,508,str\(\'H\'\),1,str\(\'tstat\'\),0.9751358518308609,54,4,0.68,24,0,None,i7183,24,520.2109375,508.36796875,-1,0.1906677393403057,4599057
1745072313,1745072346,33,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 4009 feature_id 4 batch_size 4838 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.2102214079712897 subsets 77,4009,4838,str\(\'KL\'\),3,str\(\'stdev\'\),0.2102214079712897,77,4,0.68,15,0,None,i7183,15,515.125,500.599609375,-1,0.29939971532891885,4599390
1745073093,1745073126,33,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 1270 feature_id 4 batch_size 269 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6989899175354407 subsets 68,1270,269,str\(\'H\'\),3,str\(\'tstat\'\),0.6989899175354407,68,4,0.68,17,0,None,i7185,17,479.5390625,460.6240234375,-1,0.2164119066773934,4599782
1745073723,1745073756,33,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 267 feature_id 4 batch_size 4459 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.13765033303750113 subsets 91,267,4459,str\(\'H\'\),3,str\(\'stdev\'\),0.13765033303750113,91,4,0.68,14,0,None,i7183,14,497.40234375,455.4423828125,-1,0,4600089
1745074343,1745074376,33,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 706 feature_id 4 batch_size 4624 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5639340841768605 subsets 23,706,4624,str\(\'H\'\),1,str\(\'stdev\'\),0.5639340841768605,23,4,0.68,20,0,None,i7183,20,525.62890625,523.16796875,-1,0.4486044928522805,4600389
1745074893,1745074932,39,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 1460 feature_id 4 batch_size 98 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.2290053029890178 subsets 23,1460,98,str\(\'H\'\),1,str\(\'stdev\'\),0.2290053029890178,23,4,0.68,21,0,None,i7183,21,487.12109375,438.7609375,-1,0.3214307816077728,4600652
1745075463,1745075502,39,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 1176 feature_id 4 batch_size 3718 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.04676905676814228 subsets 52,1176,3718,str\(\'H\'\),1,str\(\'stdev\'\),0.04676905676814228,52,4,0.68,21,0,None,i7183,21,491.96484375,468.2171875,-1,0.33646884089361967,4600917
1745076364,1745076396,32,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 4507 feature_id 4 batch_size 1763 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8085433000793447 subsets 31,4507,1763,str\(\'KL\'\),3,str\(\'stdev\'\),0.8085433000793447,31,4,0.68,17,0,None,i7183,17,516.84765625,483.025390625,-1,0.31270499412092334,4601335
1745077024,1745077057,33,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 17 feature_id 4 batch_size 4988 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6520792074246264 subsets 61,17,4988,str\(\'KL\'\),1,str\(\'tstat\'\),0.6520792074246264,61,4,0.68,21,0,None,i7185,21,495.9453125,485.69921875,-1,0.4936567856921839,4601658
1745077584,1745077617,33,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 4039 feature_id 4 batch_size 562 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.69941368761264 subsets 25,4039,562,str\(\'KL\'\),1,str\(\'stdev\'\),0.69941368761264,25,4,0.68,20,0,None,i7185,20,487.80859375,482.10546875,-1,0.34779379912123276,4601918
1745078080,1745078106,26,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 3017 feature_id 4 batch_size 580 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7567670712890591 subsets 79,3017,580,str\(\'H\'\),3,str\(\'tstat\'\),0.7567670712890591,79,4,0.68,17,0,None,i7185,17,525.0546875,524.8583984375,-1,0.2153598613775605,4602159
1745078785,1745078818,33,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 4987 feature_id 4 batch_size 1334 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8529684281790254 subsets 74,4987,1334,str\(\'KL\'\),3,str\(\'tstat\'\),0.8529684281790254,74,4,0.68,19,0,None,i7183,19,525.6953125,525.5126953125,-1,0.28906491738350143,4602488
1745079446,1745079486,40,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 4471 feature_id 4 batch_size 3761 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4619347735058654 subsets 62,4471,3761,str\(\'H\'\),1,str\(\'tstat\'\),0.4619347735058654,62,4,0.68,27,0,None,i7185,27,525.4609375,525.321875,-1,0.34179095241042146,4602797
1745080045,1745080072,27,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 1993 feature_id 4 batch_size 3759 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.1884270949000597 subsets 59,1993,3759,str\(\'H\'\),3,str\(\'stdev\'\),0.1884270949000597,59,4,0.68,13,0,None,i7183,13,525.43359375,525.3017578125,-1,0.23262578129834768,4603076
1745080692,1745080725,33,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 4835 feature_id 4 batch_size 405 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.3423863681080317 subsets 41,4835,405,str\(\'KL\'\),1,str\(\'tstat\'\),0.3423863681080317,41,4,0.68,20,0,None,i7185,20,524.6171875,524.4859375,-1,0.17544402500154713,4603373
1745081411,1745081443,32,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 4427 feature_id 4 batch_size 708 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.0726092354680727 subsets 95,4427,708,str\(\'KL\'\),3,str\(\'stdev\'\),0.0726092354680727,95,4,0.68,16,0,None,i7180,16,524.36328125,524.22265625,-1,0.2628875549229531,4603707
1745082093,1745082126,33,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 1784 feature_id 4 batch_size 4602 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7126460565179391 subsets 43,1784,4602,str\(\'H\'\),1,str\(\'stdev\'\),0.7126460565179391,43,4,0.68,21,0,None,i7185,21,525.23828125,525.12890625,-1,0.44588155207624236,4603988
1745082754,1745082793,39,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 4696 feature_id 4 batch_size 330 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9217953008910175 subsets 49,4696,330,str\(\'KL\'\),1,str\(\'tstat\'\),0.9217953008910175,49,4,0.68,20,0,None,i7183,20,526.1328125,526.02421875,-1,0.12253233492171545,4604283
1745083395,1745083420,25,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 4 batch_size 3032 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,3032,str\(\'H\'\),3,str\(\'stdev\'\),0.999,1,4,0.68,13,0,None,i7183,13,526.375,526.205078125,-1,0.18763537347608145,4604552

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Job SlurmJob<job_id=4546245, 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=4546245, 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 4546245 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546245/4546245_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_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546245/4546245_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546245/4546245_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546245/4546245_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572803/4572803_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575712/4575712_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4591056/4591056_0_log.err not found

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Arguments Overview:

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1744998016.2403445,20,0,0
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1745083375.7932487,20,2,10
1745083386.3547335,20,1,5
1745083386.8545496,20,1,5

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timestamp,ram_usage_mb,cpu_usage_percent
1744998016,641.64453125,9.7
1744998016,641.6484375,17.6
1744998016,641.6484375,17.4
1744998016,641.6484375,22.9
1744998016,641.6484375,17.3
1744998016,641.6484375,15.8
1744998016,641.6484375,21.3
1744998480,696.02734375,15.9
1744998480,696.02734375,19.4
1744998480,696.02734375,18.3
1744998480,696.02734375,17.8
1745004213,897.5078125,22.7
1745004213,897.5078125,22.9
1745004213,897.5078125,23.1
1745004213,897.5078125,24.7
1745013134,913.41015625,21.6
1745013134,913.41015625,22.8
1745013134,913.41015625,22.6
1745013134,913.41015625,23.7
1745022683,946.484375,21.9
1745022683,946.484375,21.9
1745022683,946.484375,22.5
1745022683,946.484375,23.7
1745035515,990.67578125,22.0
1745035515,990.67578125,23.3
1745035515,990.67578125,22.6
1745035515,990.67578125,17.1
1745046770,1000.109375,21.4
1745046770,1000.109375,20.1
1745046770,1000.109375,19.3
1745046770,1000.109375,21.3
1745058122,1035.17578125,20.3
1745058122,1035.17578125,21.1
1745058122,1035.17578125,20.9
1745058122,1035.17578125,15.2
1745070395,1096.12890625,20.5
1745070395,1096.12890625,20.8
1745070395,1096.12890625,21.0
1745070395,1096.12890625,22.0
1745083394,1175.95703125,20.6
1745083394,1175.95703125,21.8
1745083394,1175.95703125,21.5
1745083394,1175.95703125,22.6

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Correlation Heatmap Explanation

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

How It Works

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

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

Color Scale: Yellow to Purple (Viridis)

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

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

What the Heatmap Shows

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

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				text-align: center;
				border-top: 1px solid #dee2e6;
				width: 100%;
				box-sizing: border-box;
				position: fixed;
				bottom: 0;
				z-index: 2;
				margin-left: -9px;
				z-index: 99;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 50px;
				height: 26px;
			}
			
			.switch input {
				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
			}
			
			.slider:before {
				position: absolute;
				content: "";
				height: 20px;
				width: 20px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #444;
			}
			
			input:checked + .slider:before {
				transform: translateX(24px);
			}
			
			.mode-text {
				position: absolute;
				top: 5px;
				left: 65px;
				font-size: 14px;
				color: black;
				transition: .4s;
				width: 65px;
				display: block;
				font-size: 0.7rem;
				text-align: center;
			}
			
			input:checked + .slider .mode-text {
				content: "Dark Mode";
				color: white;
			}
			
			#mainContent {
				height: fit-content;
				min-height: 100%;
			}
			
			li {
				text-align: left;
			}
			
			#share_path {
				margin-bottom: 20px;
				margin-top: 20px;
			}
			
			#sortForm {
				margin-bottom: 20px;
			}
			
			.share_folder_buttons {
				margin-top: 10px;
				margin-bottom: 10px;
			}
			
			.nav_tab_button {
				margin: 10px;
			}
			
			.header_table {
				margin: 10px;
			}
			
			.no_border {
				border: unset !important;
			}
			
			.gui_table {
				padding: 5px !important;
			}
			
			.gui_parameter_row {
			}
			
			.gui_parameter_row_cell {
				border: unset !important;
			}
			
			.gui_param_table {
				width: 95%;
				margin: unset !important;
			}
			
			table td, table tr,
			.parameterRow table {
				padding: 2px !important;
			}
			
			.parameterRow table {
				margin: 0px;
				border: unset;
			}
			
			.parameterRow > td {
				border: 0px !important;
			}
			
			.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
				border: 0px !important;
			}
			
			.green_text {
				color: green;
			}
			
			.remove_parameter {
				white-space: pre;
			}
			
			select {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				background-color: #fff;
				color: #222;
				padding: 5px 30px 5px 5px;
				border: 1px solid #555;
				border-radius: 5px;
				cursor: pointer;
				outline: none;
				transition: all 0.3s ease;
				background:
					url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
					no-repeat right 10px center,
				linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
				background-size: 12px, auto;
			}
			
			select:hover {
				border-color: #888;
			}
			
			select:focus {
				border-color: #4caf50;
				box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
			}
			
			select::-ms-expand {
				display: none;
			}
			
			input, textarea {
				border-radius: 5px;
			}
			
			#search {
				width: 200px;
				max-width: 70%;
				background-image: url(images/search.svg);
				background-repeat: no-repeat;
				background-size: auto 40px;
				height: 40px;
				line-height: 40px;
				padding-left: 40px;
				box-sizing: border-box;
			}
			
			input[type="checkbox"] {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				width: 25px;
				height: 25px;
				border: 2px solid #3498db;
				border-radius: 5px;
				background-color: #fff;
				position: relative;
				cursor: pointer;
				transition: all 0.3s ease;
				width: 25px !important;
			}
			
			input[type="checkbox"]:checked {
				background-color: #3498db;
				border-color: #2980b9;
			}
			
			input[type="checkbox"]:checked::before {
				content: '✔';
				position: absolute;
				left: 4px;
				top: 2px;
				color: #fff;
			}
			
			input[type="checkbox"]:hover {
				border-color: #2980b9;
				background-color: #3caffc;
			}
			
			.toc {
				margin-bottom: 20px;
			}
			
			.toc li {
				margin-bottom: 5px;
			}
			
			.toc a {
				text-decoration: none;
				color: #007bff;
			}
			
			.toc a:hover {
				text-decoration: underline;
			}
			
			.table-container {
				width: 100%;
				overflow-x: auto;
			}
			
			.section-header {
				background-color: #1d6f9a !important;
				color: white;
			}
			
			.warning {
				color: red;
			}
			
			.li_list a {
				text-decoration: none;
			}
			
			.gridjs-td {
				white-space: nowrap;
			}
			
			th, td {
				border: 1px solid gray !important;
			}
			
			.no_border {
				border: 0px !important;
			}
			
			.no_break {
			
			}
			
			img {
				user-select: none;
				pointer-events: none;
			}
			
			#config_table, #hidden_config_table {
				user-select: none;
			}
			
			.copy_clipboard_button {
				margin-bottom: 10px;
			}
			
			.badge_table {
				background-color: unset !important;
			}
			
			.make_markable {
				user-select: text;
			}
			
			.header-container {
				display: flex;
				flex-wrap: wrap;
				align-items: center;
				justify-content: space-between;
				gap: 1rem;
				padding: 10px;
				background: var(--header-bg, #fff);
				border-bottom: 1px solid #ccc;
			}
			
			.header-logo-group {
				display: flex;
				gap: 1rem;
				align-items: center;
				flex: 1 1 auto;
				min-width: 200px;
			}
			
			.logo-img {
				max-height: 45px;
				height: auto;
				width: auto;
				object-fit: contain;
				pointer-events: unset;
			}
			
			.header-badges {
				flex-direction: column;
				gap: 5px;
				align-items: flex-start;
				flex: 0 1 auto;
				margin-top: auto;
				margin-bottom: auto;
			}
			
			.badge-img {
				height: auto;
				max-width: 130px;
				margin-top: 3px;
			}
			
			.header-tabs {
				margin-top: 10px;
				display: flex;
				flex-wrap: wrap;
				gap: 10px;
				flex: 2 1 100%;
				justify-content: center;
			}
			
			.nav-tab {
				display: inline-block;
				text-decoration: none;
				padding: 8px 16px;
				border-radius: 20px;
				background: linear-gradient(to right, #4a90e2, #357ABD);
				color: white;
				font-weight: bold;
				white-space: nowrap;
				transition: background 0.2s ease-in-out, transform 0.2s;
				box-shadow: 0 2px 4px rgba(0,0,0,0.2);
			}
			
			.nav-tab:hover {
				background: linear-gradient(to right, #5aa0f2, #4a90e2);
				transform: translateY(-2px);
			}
			
			.current-tag {
				padding-left: 10px;
				font-size: 0.9rem;
				color: #666;
			}
			
			.header-theme-toggle {
				flex: 1 1 auto;
				align-items: center;
				margin-top: 20px;
				min-width: 120px;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 60px;
				height: 30px;
			}
			
			.switch input {
				display: none;
			}
			
			.slider {
				position: absolute;
				top: 0; left: 0; right: 0; bottom: 0;
				background-color: #ccc;
				border-radius: 34px;
				cursor: pointer;
			}
			
			.slider::before {
				content: "";
				position: absolute;
				height: 24px;
				width: 24px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #2196F3;
			}
			
			input:checked + .slider::before {
				transform: translateX(30px);
			}
			
			@media (max-width: 768px) {
				.header-logo-group,
				.header-badges,
				.header-theme-toggle {
					justify-content: center;
					flex: 1 1 100%;
					text-align: center;
					width: inherit;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.hide_on_mobile {
					display: none;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					white-space: pre;
					font-size: 2em;
				}
			}
			
			.header_button {
				white-space: pre;
				margin-top: 20px;
				margin: 5px;
			}
			
			.line_break_anywhere {
				line-break: anywhere;
			}
			
			.responsive-container {
				display: flex;
				flex-wrap: wrap;
				justify-content: space-between;
				gap: 20px;
			}
			
			.responsive-container .half {
				flex: 1 1 48%;
				box-sizing: border-box;
				min-width: 500px;
			}
			
			.config-section table {
				width: 100%;
				border-collapse: collapse;
			}
			
			@media (max-width: 768px) {
				.responsive-container .half {
					flex: 1 1 100%;
				}
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			.rotate {
				animation: spin 2s linear infinite;
				display: inline-block;
			}
			
			input::placeholder {
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			.gridjs-th-content {
				overflow: visible !important;
			}
			
			.error_text {
				color: red;
			}
			
			h1, h2, h3, h4, h5, h6 {
				margin-top: 1em;
				font-weight: bold;
				color: #333;
				border-left: 5px solid #ccc;
				padding-left: 0.5em;
			}
			
			.no_cursive {
				font-style: normal;	
			}
			
			.caveat {
				background-color: #fff8b3;
				border: 1px solid #f2d600;
				padding: 1em 1em 1em 70px;
				position: relative;
				font-family: sans-serif;
				color: #665500;
				margin: 1em 0;
				border-radius: 4px;
			}
			
			.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
				margin-top: 0;
				margin-bottom: 0.5em;
				font-weight: bold;
			}
			
			.caveat::before {
				content: "⚠️";
				font-size: 50px;
				line-height: 1;
				position: absolute;
				left: 10px;
				top: 50%;
				transform: translateY(-50%);
				pointer-events: none;
				user-select: none;
			}
			
			.caveat.warning::before { content: "⚠️"; }
			.caveat.stop::before { content: "🛑"; }
			.caveat.exclamation::before { content: "❗"; }
			.caveat.alarm::before { content: "🚨"; }
			.caveat.tip::before { content: "💡"; }
			
			.tutorial_icon {
				display: inline-block;
				font-size: 1.3em;
				line-height: 1;
				vertical-align: middle;
				transform: translateY(-10%);
				padding: 0.2em 0;
			}
			
			.highlight {
				background-color: yellow;
				font-weight: bold;
			}
			
			#searchResults li {
				opacity: 0;
				transform: translateY(8px);
				animation: fadeInUp 0.3s ease-out forwards;
				animation-delay: 0.05s;
				list-style: none;
				margin-bottom: 5px;
			}
			
			@keyframes fadeInUp {
				to {
					opacity: 1;
					transform: translateY(0);
				}
			}
			
			.search_headline {
				font-weight: bold;
				margin-top: 1em;
				margin-bottom: 0.3em;
				color: #444;
			}
			
			.search_share_path {
				color: black;
				display: block ruby;
				margin-top: 20px;
			}
			
			@media print {
				#scads_bar {
					display: none !important;
				}
			}
			

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 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stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' 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13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 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stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23bdd3fb' d='M8 12h1'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath 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			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1M1 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' 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			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 17px;
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			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
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stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
			}
			
			.field-row{
				display: flex;
				align-items: center
			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
				margin-top: 6px
			}
			
			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
			menu[role=tablist] button{
				background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
				padding: 0 12px 3px
			}
			
			menu[role=tablist] button: hover{
				box-shadow: unset;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]{
				border-color: #919b9c;
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]: first-of-type: before{
				content: "";
				display: block;
				position: absolute;
				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
			}
			
			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
			}
			
			ul.tree-view{
				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
			}
			
			@keyframes sliding{
				0%{
					transform: translateX(-30px)
				}
			
				to{
					transform: translateX(100%)
				}
			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
				border-radius: 4px;
				padding: 1px 2px 1px 0;
				overflow: hidden;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress,progress: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				height: 14px
			}
			
			progress[value]: :-webkit-progress-bar{
				background-color: transparent
			}
			
			progress[value]: :-webkit-progress-value{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress[value]: :-moz-progress-bar{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-webkit-progress-bar{
				width: 100%;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-webkit-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]){
				position: relative
			}
			
			progress: not([value]): before{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before,progress: not([value]): before: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): after{
				box-sizing: border-box;
				content: "";
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			var tab_job_infos_headers_json = [
			    "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"
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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 34 feature_id 4 batch_size 4857 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.38487507036414337 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 1095 feature_id 4 batch_size 665 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.35522321458564854 subsets 35",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 NOAAWeather 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2939 feature_id 4 batch_size 413 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.9067691363631863 subsets 1",
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			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1744998016,
			        641.64453125,
			        9.7
			    ],
			    [
			        1744998016,
			        641.6484375,
			        17.6
			    ],
			    [
			        1744998016,
			        641.6484375,
			        17.4
			    ],
			    [
			        1744998016,
			        641.6484375,
			        22.9
			    ],
			    [
			        1744998016,
			        641.6484375,
			        17.3
			    ],
			    [
			        1744998016,
			        641.6484375,
			        15.8
			    ],
			    [
			        1744998016,
			        641.6484375,
			        21.3
			    ],
			    [
			        1744998480,
			        696.02734375,
			        15.9
			    ],
			    [
			        1744998480,
			        696.02734375,
			        19.4
			    ],
			    [
			        1744998480,
			        696.02734375,
			        18.3
			    ],
			    [
			        1744998480,
			        696.02734375,
			        17.8
			    ],
			    [
			        1745004213,
			        897.5078125,
			        22.7
			    ],
			    [
			        1745004213,
			        897.5078125,
			        22.9
			    ],
			    [
			        1745004213,
			        897.5078125,
			        23.1
			    ],
			    [
			        1745004213,
			        897.5078125,
			        24.7
			    ],
			    [
			        1745013134,
			        913.41015625,
			        21.6
			    ],
			    [
			        1745013134,
			        913.41015625,
			        22.8
			    ],
			    [
			        1745013134,
			        913.41015625,
			        22.6
			    ],
			    [
			        1745013134,
			        913.41015625,
			        23.7
			    ],
			    [
			        1745022683,
			        946.484375,
			        21.9
			    ],
			    [
			        1745022683,
			        946.484375,
			        21.9
			    ],
			    [
			        1745022683,
			        946.484375,
			        22.5
			    ],
			    [
			        1745022683,
			        946.484375,
			        23.7
			    ],
			    [
			        1745035515,
			        990.67578125,
			        22
			    ],
			    [
			        1745035515,
			        990.67578125,
			        23.3
			    ],
			    [
			        1745035515,
			        990.67578125,
			        22.6
			    ],
			    [
			        1745035515,
			        990.67578125,
			        17.1
			    ],
			    [
			        1745046770,
			        1000.109375,
			        21.4
			    ],
			    [
			        1745046770,
			        1000.109375,
			        20.1
			    ],
			    [
			        1745046770,
			        1000.109375,
			        19.3
			    ],
			    [
			        1745046770,
			        1000.109375,
			        21.3
			    ],
			    [
			        1745058122,
			        1035.17578125,
			        20.3
			    ],
			    [
			        1745058122,
			        1035.17578125,
			        21.1
			    ],
			    [
			        1745058122,
			        1035.17578125,
			        20.9
			    ],
			    [
			        1745058122,
			        1035.17578125,
			        15.2
			    ],
			    [
			        1745070395,
			        1096.12890625,
			        20.5
			    ],
			    [
			        1745070395,
			        1096.12890625,
			        20.8
			    ],
			    [
			        1745070395,
			        1096.12890625,
			        21
			    ],
			    [
			        1745070395,
			        1096.12890625,
			        22
			    ],
			    [
			        1745083394,
			        1175.95703125,
			        20.6
			    ],
			    [
			        1745083394,
			        1175.95703125,
			        21.8
			    ],
			    [
			        1745083394,
			        1175.95703125,
			        21.5
			    ],
			    [
			        1745083394,
			        1175.95703125,
			        22.6
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout, no_height = 0) {
				layout["width"] = get_graph_width();
				if (!no_height) {
					layout["height"] = get_graph_height();
				}
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true,
					ellipsis: false
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_node";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',
						jitter: 0.5,
						pointpos: 0
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: get_axis_title_data("Generation Method")
					},
					boxmode: 'group'
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
					let text = el.textContent.toLowerCase();
					let color = text.includes("manual") ? "green" :
						text.includes("sobol") ? "orange" :
						text.includes("saasbo") ? "pink" :
						text.includes("uniform") ? "lightblue" :
						text.includes("legacy_gpei") ? "sienna" :
						text.includes("bo_mixed") ? "aqua" :
						text.includes("randomforest") ? "darkseagreen" :
						text.includes("external_generator") ? "purple" :
						text.includes("botorch") ? "yellow" : "";
					if (color !== "") {
						el.style.backgroundColor = color;
					}
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" :
						el.textContent.includes("ABANDONED") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			function demo_mode(nr_sec = 3) {
				let i = 0;
				let tabs = $('menu[role="tablist"] > button');
			
				setInterval(() => {
					tabs.attr('aria-selected', 'false').removeClass('active');
			
					let tab = tabs.eq(i % tabs.length);
					tab.attr('aria-selected', 'true').addClass('active');
			
					tab.trigger('click');
			
					i++;
				}, nr_sec * 1000);
			}
			
			function resizePlotlyCharts() {
				const plotlyElements = document.querySelectorAll('.js-plotly-plot');
			
				if (plotlyElements.length) {
					const windowWidth = window.innerWidth;
					const windowHeight = window.innerHeight;
			
					const newWidth = windowWidth * 0.9;
					const newHeight = windowHeight * 0.9;
			
					plotlyElements.forEach(function(element, index) {
						const layout = {
							width: newWidth,
							height: newHeight,
							plot_bgcolor: 'rgba(0, 0, 0, 0)',
							paper_bgcolor: 'rgba(0, 0, 0, 0)',
						};
			
						Plotly.relayout(element, layout)
					});
				}
			
				make_text_in_parallel_plot_nicer();
				apply_theme_based_on_system_preferences();
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			
			window.addEventListener('resize', function() {
				resizePlotlyCharts();
			});
			
			"use strict";
			
			function get_row_by_index(idx) {
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
			
				var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
			
				if(trial_index_col_idx == -1) {
					error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
			
					return null;
				}
			
				for (var i = 0; i < tab_results_csv_json.length; i++) {
					var row = tab_results_csv_json[i];
					var trial_index = row[trial_index_col_idx];
			
					if (trial_index == idx) {
						return row;
					}
				}
			
				return null;
			}
			
			function load_pareto_graph_from_idxs () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				if(pareto_idxs === null) {
					var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
					$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
					return;	
				}
			
				var table = get_pareto_table_data_from_idx();
			
				var html_tables = createParetoTablesFromData(table);
			
				$("#pareto_from_idxs_table").html(html_tables);
			
				renderParetoFrontPlots(table);
			
				apply_theme_based_on_system_preferences();
			}
			
			function renderParetoFrontPlots(data) {
				try {
					let container = document.getElementById("pareto_front_idxs_plot_container");
					if (!container) {
						console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
						return;
					}
			
					container.innerHTML = "";
			
					if(data === undefined || data === null) {
						var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
						$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
						return;
					}
			
					Object.keys(data).forEach((key, idx) => {
						if (!key.startsWith("Pareto front for ")) return;
			
						let label = key.replace("Pareto front for ", "");
						let [xKey, yKey] = label.split("/");
			
						if (!xKey || !yKey) {
							console.warn("Could not extract two objectives from key:", key);
							return;
						}
			
						let entries = data[key];
						let x = [];
						let y = [];
						let hoverTexts = [];
			
						entries.forEach((entry) => {
							let results = entry.results || {};
							let values = entry.values || {};
			
							let xVal = (results[xKey] || [])[0];
							let yVal = (results[yKey] || [])[0];
			
							if (xVal === undefined || yVal === undefined) {
								console.warn("Missing values for", xKey, yKey, "in", entry);
								return;
							}
			
							x.push(xVal);
							y.push(yVal);
			
							let hoverInfo = [];
			
							if ("trial_index" in values) {
								hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
							}
			
							Object.keys(values)
								.filter(k => k !== "trial_index")
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
								});
			
							Object.keys(results)
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
								});
			
							hoverTexts.push(hoverInfo.join("<br>"));
						});
			
						let wrapper = document.createElement("div");
						wrapper.style.marginBottom = "30px";
			
						let titleEl = document.createElement("h3");
						titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
						wrapper.appendChild(titleEl);
			
						let divId = `pareto_plot_${idx}`;
						let plotDiv = document.createElement("div");
						plotDiv.id = divId;
						plotDiv.style.width = "100%";
						plotDiv.style.height = "400px";
			
						wrapper.appendChild(plotDiv);
						container.appendChild(wrapper);
			
						let trace = {
							x: x,
							y: y,
							text: hoverTexts,
							hoverinfo: "text",
							mode: "markers",
							type: "scatter",
							marker: {
								size: 8,
								color: 'rgb(31, 119, 180)',
								line: {
									width: 1,
									color: 'black'
								}
							},
							name: label
						};
			
						let layout = {
							xaxis: { title: { text: xKey } },
							yaxis: { title: { text: yKey } },
							margin: { t: 10, l: 60, r: 20, b: 50 },
							hovermode: "closest",
							showlegend: false
						};
			
						Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
					});
				} catch (e) {
					console.error("Error while rendering Pareto front plots:", e);
				}
			}
			
			function createParetoTablesFromData(data) {
				try {
					var container = document.createElement("div");
			
					var parsedData;
					try {
						parsedData = typeof data === "string" ? JSON.parse(data) : data;
					} catch (e) {
						console.error("JSON parsing failed:", e);
						return container;
					}
			
					for (var sectionTitle in parsedData) {
						if (!parsedData.hasOwnProperty(sectionTitle)) {
							continue;
						}
			
						var sectionData = parsedData[sectionTitle];
						var heading = document.createElement("h2");
						heading.textContent = sectionTitle;
						container.appendChild(heading);
			
						var table = document.createElement("table");
						table.style.borderCollapse = "collapse";
						table.style.marginBottom = "2em";
						table.style.width = "100%";
			
						var thead = document.createElement("thead");
						var headerRow = document.createElement("tr");
			
						var allValueKeys = new Set();
						var allResultKeys = new Set();
			
						sectionData.forEach(entry => {
							var values = entry.values || {};
							var results = entry.results || {};
			
							Object.keys(values).forEach(key => {
								allValueKeys.add(key);
							});
			
							Object.keys(results).forEach(key => {
								allResultKeys.add(key);
							});
						});
			
						var sortedValueKeys = Array.from(allValueKeys).sort();
						var sortedResultKeys = Array.from(allResultKeys).sort();
			
						if (sortedValueKeys.includes("trial_index")) {
							sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
							sortedValueKeys.unshift("trial_index");
						}
			
						var allColumns = [...sortedValueKeys, ...sortedResultKeys];
			
						allColumns.forEach(col => {
							var th = document.createElement("th");
							th.textContent = col;
							th.style.border = "1px solid black";
							th.style.padding = "4px";
							headerRow.appendChild(th);
						});
			
						thead.appendChild(headerRow);
						table.appendChild(thead);
			
						var tbody = document.createElement("tbody");
			
						sectionData.forEach(entry => {
							var tr = document.createElement("tr");
			
							allColumns.forEach(col => {
								var td = document.createElement("td");
								td.style.border = "1px solid black";
								td.style.padding = "4px";
			
								var value = null;
			
								if (col in entry.values) {
									value = entry.values[col];
								} else if (col in entry.results) {
									value = entry.results[col];
								}
			
								if (Array.isArray(value)) {
									td.textContent = value.join(", ");
								} else {
									td.textContent = value !== null && value !== undefined ? value : "";
								}
			
								tr.appendChild(td);
							});
			
							tbody.appendChild(tr);
						});
			
						table.appendChild(tbody);
						container.appendChild(table);
					}
			
					return container;
				} catch (err) {
					console.error("Unexpected error:", err);
					var errorDiv = document.createElement("div");
					errorDiv.textContent = "Error generating tables.";
					return errorDiv;
				}
			}
			
			function get_pareto_table_data_from_idx () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				var x_keys = Object.keys(pareto_idxs);
			
				var tables = {};
			
				for (var i = 0; i < x_keys.length; i++) {
					var x_key = x_keys[i];
					var y_keys = Object.keys(pareto_idxs[x_key]);
			
					for (var j = 0; j < y_keys.length; j++) {
						var y_key = y_keys[j];
			
						var indices = pareto_idxs[x_key][y_key];
			
						for (var k = 0; k < indices.length; k++) {
							var idx = indices[k];
							var row = get_row_by_index(idx);
			
							if(row === null) {
								error(`Error getting the row for index ${idx}`);
								return;
							}
			
							var row_dict = {
								"results": {},
								"values": {},
							};
			
							for (var l = 0; l < tab_results_headers_json.length; l++) {
								var header = tab_results_headers_json[l];
			
								if (!special_col_names.includes(header) || header == "trial_index") {
									var val = row[l];
			
									if (result_names.includes(header)) {
										if (!Object.keys(row_dict["results"]).includes(header)) {
											row_dict["results"][header] = [];
										}
			
										row_dict["results"][header].push(val);
									} else {
										if (!Object.keys(row_dict["values"]).includes(header)) {
											row_dict["values"][header] = [];
										}
										row_dict["values"][header].push(val);
									}
								}
								
							}
			
							var table_key = `Pareto front for ${x_key}/${y_key}`;
			
							if(!Object.keys(tables).includes(table_key)) {
								tables[table_key] = [];
							}
			
							tables[table_key].push(row_dict);
						}
			
					}
				}
			
				return tables;
			}
			
			function getMinMaxByResultName(resultName) {
				try {
					if (typeof resultName !== "string") {
						error("Parameter resultName must be a string");
						return;
					}
			
					if (!Array.isArray(result_names)) {
						error("Global variable result_names is not an array or undefined");
						return;
					}
					if (!Array.isArray(result_min_max)) {
						error("Global variable result_min_max is not an array or undefined");
						return;
					}
			
					if (result_names.length !== result_min_max.length) {
						error("Global arrays result_names and result_min_max must have the same length");
						return;
					}
			
					var index = result_names.indexOf(resultName);
					if (index === -1) {
						error("Result name '" + resultName + "' not found in result_names");
						return;
					}
			
					var minMaxValue = result_min_max[index];
			
					if (minMaxValue !== "min" && minMaxValue !== "max") {
						error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
						return;
					}
			
					return minMaxValue;
			
				} catch (e) {
					error("Unexpected error: " + e.message);
				}
			}
			

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

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;Overview</h1>
			<h2>Experiment overview:         </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value </th></tr></thead><tbody><tr><td> Max. nr. evaluations</td><td>939   </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>439   </td></tr></tbody></table><h2>Experiment parameters:                                                    </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Values</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> feature_id</td><td>FixedParameter</td><td></td><td></td><td>4</td><td></td><td></td></tr><tr><td> batch_size</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> divergence</td><td>choice</td><td></td><td></td><td>str\(\&#039;H\&#039;\), str\(\&#039;KL\&#039;\)</td><td></td><td></td></tr><tr><td> detect_batch</td><td>choice</td><td></td><td></td><td>1, 2, 3</td><td></td><td></td></tr><tr><td> statistic</td><td>choice</td><td></td><td></td><td>str\(\&#039;stdev\&#039;\), str\(\&#039;tstat\&#039;\)</td><td></td><td></td></tr><tr><td> significance</td><td>float</td><td>0.001</td><td>0.999</td><td></td><td>float</td><td>No         </td></tr><tr><td> subsets</td><td>int</td><td>1</td><td>100</td><td></td><td>int</td><td>No         </td></tr></tbody></table><h2>Number of evaluations</h2>
			<table>
			<tbody>
			<tr>
			<th>Failed</th>
			<th>Succeeded</th>
			<th>Running</th>
			<th>Total</th>
			</tr>
			<tr>
			<td>15</td>
			<td>615</td>
			<td>0</td>
			<td>630</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_0,0.680000000000000048849813083507,15.000000000000000000000000000000,3334,4570,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.113552124798297876528963001874,92,4
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,836,1088,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.845042817549780056474162392988,28,4
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,16.000000000000000000000000000000,1589,3326,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.549006964489817672614435650758,54,4
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,4086,2267,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.284837693443521833280840382940,15,4
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,4864,3082,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.201942270448431382412479706545,64,4
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,2373,1320,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.967197814688086521250909299852,6,4
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,57,4346,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.639483370320871435943388405576,76,4
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,162.000000000000000000000000000000,2551,5,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.404906406234949833855552014938,43,4
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,19.000000000000000000000000000000,3122,3488,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.324152813041582721353961460409,73,4
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,619,2125,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.588573350567370701114100484119,9,4
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,1957,4712,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.759859199909493354674339116173,86,4
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,4460,928,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.028117242537438871807786711088,47,4
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,3993,3881,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.491003723882138753964454735979,95,4
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,1487,488,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.725831954447552551989986113767,37,4
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,1085,2599,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.928796402532607312529933096812,58,4
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,14.000000000000000000000000000000,3594,1783,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.163289591813460005509384131983,25,4
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,3694,2667,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.716624413946643445960660301353,31,4
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,24.000000000000000000000000000000,1199,1695,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.452454516444355248072639597012,89,4
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,1383,3970,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.156418932927772397212251576093,19,4
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,3882,420,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.887910187073051915263022237923,52,4
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,19.000000000000000000000000000000,4660,4936,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.596555669553577860853010861319,3,4
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,22.000000000000000000000000000000,2167,683,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.361978142214939013765473418971,67,4
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,11.000000000000000000000000000000,420,3731,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.034263904187828306269203437751,41,4
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,13.000000000000000000000000000000,2911,1901,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.799520074883475873050997506652,80,4
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,2662,4140,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.974319680567830803674667095038,12,4
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,28.000000000000000000000000000000,161,268,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.242577159943059089686201446057,70,4
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,10.000000000000000000000000000000,2259,2819,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.413862739741802210247101356799,49,4
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,25.000000000000000000000000000000,4764,1524,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.678283903723582604072817048291,82,4
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,4297,3278,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.839147362893447268383795289992,34,4
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.680000000000000048849813083507,12.000000000000000000000000000000,1788,2374,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.073639925718307491786518426125,98,4
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.047661708832740616592626992087,1,4
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,40.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
32,32_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,22.000000000000000000000000000000,269,4286,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.655956789045345711741674676887,83,4
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
37,37_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,32.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
43,43_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,660,4649,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.246899338675696494727063168284,16,4
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,2330.000000000000000000000000000000,4833,10,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.733897607912893268355958298343,95,4
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,125,4996,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.928293715880324388223243659013,100,4
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2907,289,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.713296625541417372851071831974,1,4
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,2334,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
51,51_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.759481139320756670763046258799,1,4
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,49.000000000000000000000000000000,124,105,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.153765140662575211516482909246,57,4
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4963,284,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.162739238522382367868601704686,1,4
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,35.000000000000000000000000000000,1,1088,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,1085,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,31.000000000000000000000000000000,1,2177,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,1069,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4975,2491,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,1,1085,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,4204,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,3094,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,1638,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,31.000000000000000000000000000000,5000,1072,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,2761,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,23.000000000000000000000000000000,5000,2534,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,4241,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,2284,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,2303,2538,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,1067,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,373,3132,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,31.000000000000000000000000000000,1,3161,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,2186,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,33.000000000000000000000000000000,5000,3317,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1,1064,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,3553,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3951,2920,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,5000,3338,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,5000,1100,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,33.000000000000000000000000000000,5000,2356,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,18.000000000000000000000000000000,5000,972,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4253,1073,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,29.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,81.000000000000000000000000000000,5000,409,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,414,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,4793,4421,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,408,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,5000,417,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,409,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,417,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4395,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,442,4719,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,3133,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,58.000000000000000000000000000000,5000,420,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,888,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,332,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4761,4226,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,181,3692,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
135,135_0,FAILED,BoTorch,GenerationStep_1,,,416,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,979,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4839,4718,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
138,138_0,FAILED,BoTorch,GenerationStep_1,,,555,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,4723,3968,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,557,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,21.000000000000000000000000000000,404,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,927,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4790,4028,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,383,292,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,813,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,41.000000000000000000000000000000,5000,415,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,822,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,1090,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
149,149_0,FAILED,BoTorch,GenerationStep_1,,,1063,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,67.000000000000000000000000000000,4459,241,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.432471339228203299764885514378,88,4
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4801,2798,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.436243783499996484742666780221,68,4
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,1148,4431,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.438593375431621967930340133535,51,4
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,279,2486,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.679403578904992033749010715837,1,4
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4858,9,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.584602813321511094457605395291,1,4
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1049,4645,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.441231293992115303215229005218,16,4
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,123,4816,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.530870614337621393730159979896,100,4
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1882,939,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.440487618789596913071449080235,37,4
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,2940,4844,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.665946863778094866326284773095,6,4
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,3846,545,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.667879444702583313642207940575,43,4
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,21.000000000000000000000000000000,3842,1238,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.047489104116264946320313811157,1,4
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4815,4890,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.669219365853187198034390803514,40,4
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2920,940,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.949602409996308516326735116309,100,4
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,345,242,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.668430128982353988220665996778,12,4
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,4464,2456,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.921365728667190686529409049399,100,4
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4069,166,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.455451713530901192150679435144,1,4
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,49.000000000000000000000000000000,919,935,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.426191706332546438318331638584,100,4
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,227,1021,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.429165414258448285611535766293,100,4
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,3460,10,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.435666706498629763277818938150,4,4
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,11,4606,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.768422454595675374910968002951,25,4
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3679,4728,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.229938102854701176269713869260,100,4
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4544,4828,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.085866106855834747890732217002,67,4
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,39,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.444315958495497098645898859104,49,4
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4533,1197,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.797154210737638146966332897136,2,4
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1308,107,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.476481256712151524101983568471,1,4
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,493,31,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.914560691515455714828419786500,5,4
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,4840,4775,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.935094715515540353401036099967,57,4
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,3722,4996,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.293229277451644787522155866100,1,4
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.537723963128154291979399204138,100,4
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,178,79,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.848215749082751546694680655492,95,4
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,571,2199,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.884635351582933493475024988584,94,4
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,4667,3020,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.814855839163825090842863119178,85,4
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3470,725,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.885638465751651504653807478462,94,4
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4469,4639,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.889704911116047769681358659000,94,4
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,737,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,8,4
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,51,939,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17,4
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1805,952,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,72,4
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,693,4714,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,11,4
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,33.000000000000000000000000000000,16,1327,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.882063983494088654779829994368,90,4
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,542,84,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,33,4
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4945,1738,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.052040564539329092763608741734,8,4
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,3941,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19,4
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,415,1464,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.888143808599790585134314824245,93,4
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,382,671,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.110626515915156042879630149400,8,4
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4723,4906,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28,4
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4027,710,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,4
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,2313,357,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,91,4
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4992,3471,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26,4
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,778,158,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18,4
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4714,927,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.081881265144185144677635435073,9,4
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4692,4363,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.885957498596296799675542388286,92,4
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,33,932,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,38,4
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,4217,3400,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.971605269501483848060274794989,89,4
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31,4
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,4124,946,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72,4
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,839,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,81,4
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,334,4416,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.441394196184519249648303684808,30,4
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4907,4863,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.146856550813430103419321426372,9,4
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,2402,4544,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24,4
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,4191,4634,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,63,4
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4501,4863,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.921880113227586228674681478878,33,4
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4603,1136,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.756420680402958289789694390493,83,4
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,540,4888,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.757726846639126261351293578628,83,4
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,2921,2328,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.750039565284588261029341538233,82,4
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,2452,4652,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.764007178686433863212812411803,83,4
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,4404,16,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.894486787318005127644937601872,13,4
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,133,974,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.075897332532759043122183584273,19,4
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4726,1131,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.077233138361649536496322809853,75,4
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4895,4379,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.366973022672788418141465172084,1,4
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,21.000000000000000000000000000000,1623,961,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.086398877393526529733236429820,78,4
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,471,794,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55,4
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,523,497,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.846927634831737718990041230427,11,4
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,178.000000000000000000000000000000,319,92,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,80,4
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4414,4074,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.075053710089131142613183556023,20,4
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3655,1190,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.924513377048839957161874281155,22,4
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4007,635,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.235777921991219718833576735051,7,4
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,172.000000000000000000000000000000,2987,39,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64,4
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,217,2046,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47,4
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,23.000000000000000000000000000000,4880,3663,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.749676806604264611699761644559,82,4
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,638,3782,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.920443386901492743845665245317,22,4
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2047,499,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,76,4
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3,3831,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.837949640188660249684460268327,60,4
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1898,330,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.040736335202442054692628659041,56,4
233,233_0,FAILED,BoTorch,GenerationStep_1,,,2985,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,50,4
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,162,2985,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.330923844751928597496259953914,7,4
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,39,3797,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.228132020995870071766731257412,4,4
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,3501,4617,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.756955540408905447335996541369,10,4
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1900,566,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.801159786456726252801274767990,13,4
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,315,4526,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.937203778125905495599567984755,80,4
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,39.000000000000000000000000000000,228,290,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.062132648558769286439851242676,87,4
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4835,4493,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.934856278746559632431001318764,75,4
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1110,909,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.913649560448143271962351263937,75,4
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3226,4943,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.094163815668943301462334716234,32,4
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4114,1286,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.934574693207716800102957677154,74,4
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4851,4099,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.775959320876034919223229735508,74,4
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,744,375,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.540511321770929975549790924561,17,4
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,48.000000000000000000000000000000,3867,828,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.152511080756622785514764473191,100,4
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,590,797,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.737991949364609656214497590554,75,4
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,4031,4081,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.122874728251634826592386673383,45,4
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4572,755,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.110404200727043461105481014783,45,4
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4810,4127,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.076695357868070718199149382599,28,4
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,49.000000000000000000000000000000,4754,288,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.539708284233780255512158419151,87,4
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,256,4352,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.105597710541173187004382327814,35,4
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4850,792,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.261899370384376883880150899131,27,4
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,152,3577,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.204615685295315818947869956901,88,4
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,881,4288,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.244578964451190511431022400757,93,4
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,816,4918,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.876141955809371597574397583230,79,4
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,541,546,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.077883627990642773086804595550,33,4
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4426,386,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.163853620915716979844489742391,32,4
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4924,282,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.199927446643411915738752782090,32,4
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,85.000000000000000000000000000000,4188,194,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.557978810663412261305893480312,80,4
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2362,2020,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.875534014789600134598401837138,77,4
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,741,4884,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.607861229094929345073694548773,19,4
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,1,3485,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.242746848074576748732766873218,79,4
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1698,3950,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.156351245570939323403791831879,98,4
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,18.000000000000000000000000000000,2483,4777,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.829408878782836311849280264141,73,4
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,2245,4401,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.193077212070822734624186978181,84,4
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,4816,4938,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.724901510680838967459749255795,74,4
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4526,1033,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.183371473270131229993396004829,89,4
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1927,695,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.113153622114982005397720854489,31,4
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,316,94,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.203294974591731181234877112729,39,4
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2931,4924,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.503236289735044972637467708410,35,4
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,1160,4128,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.546328760057833595631393563963,38,4
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2043,366,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.497664745237904437846765404174,10,4
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1035,751,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.900694325168256648694864452409,45,4
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,356,859,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,94,4
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4727,4087,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.369666369102259528833798185588,12,4
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,3826,159,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.468828278582064994495226528670,21,4
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,766,3353,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.490525637203027276012079482825,23,4
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,29.000000000000000000000000000000,4389,250,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.157448267118672380338040284187,73,4
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4413,178,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.775967399291518478143814263603,53,4
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,16,4826,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.633358626471144936509460876550,69,4
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,1265,4820,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.648580321269740300849093728175,52,4
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3317,4446,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.497390371935804542768977398737,10,4
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4029,4975,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.915062313420783812745185059612,43,4
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,54.000000000000000000000000000000,4599,164,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.421458079821472986203900745750,76,4
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,281,307,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.309795468877964497167454283044,54,4
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,37.000000000000000000000000000000,835,86,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.694839592943023443005756689672,53,4
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,124,4087,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.421334615167336778984719103391,76,4
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4841,658,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.241094099361178121343485258876,41,4
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4154,4839,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.481237608484620216220406518914,25,4
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,208,4522,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.715726852049655803966743405908,19,4
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3360,3967,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.420519694195854554230606936471,76,4
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,334,4818,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.253819488471789367345365917572,40,4
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,4058,4458,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.790865578914696554235774783592,46,4
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,4777,3177,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.784283753761714663710336026270,55,4
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,313,418,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.259305531267378541748769293918,48,4
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,75,2096,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.178088292089695343634048185777,75,4
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,4074,2887,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.295102732968777536903814961988,59,4
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,402,402,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.783211839498678896731576060120,44,4
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,248,996,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.046678444770850244238680204489,59,4
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4932,938,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.780623316273625023065108052833,99,4
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,2704,4363,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.783723043488197101957837276132,100,4
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,139,4253,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.779682540638207632888168063801,95,4
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3126,4359,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.954420894868004188182908364979,1,4
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,73.000000000000000000000000000000,1125,541,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.201301392503540926837146685102,100,4
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,217,3530,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.240637704309757033405148263228,1,4
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4102,4839,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.281860385369495369811687623951,1,4
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2106,280,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.776931571137706389329480316519,81,4
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4785,4556,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.199587257208487051096668096761,30,4
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,53,388,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.199483687111968954752683202969,1,4
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,21.000000000000000000000000000000,3991,4407,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.380011215175887429040813003667,81,4
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,3014,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.873189883632330854368319705827,1,4
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,4315,1355,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.634194223949590796252095969976,1,4
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1022,675,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.864840446950627894651120186609,19,4
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,4496,4784,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.359209773498662565671679658408,1,4
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,610,339,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.149532319740437430466428736509,100,4
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,25.000000000000000000000000000000,224,4900,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.321330695016339262792826048099,100,4
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,56.000000000000000000000000000000,66,297,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.230740758123855499439613936374,100,4
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4550,840,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.615678659717967091680179692048,93,4
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,39.000000000000000000000000000000,521,427,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.376258495076307708515628291934,91,4
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,438,493,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.794359347156559758573735052778,14,4
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4769,771,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.291097462812031415602120887343,26,4
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,436,392,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.050089594491252865948727190926,9,4
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,35,71,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.386304862065835585838158294791,1,4
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,4574,4935,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.494338220696890484617824768065,100,4
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,4336,4168,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.289896602806443692834648118151,95,4
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,403.000000000000000000000000000000,3268,108,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.109656556745019645449090717193,100,4
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3747,166,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.662259704657693792917427799694,1,4
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,2624,65,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.878429852678761724504852281825,1,4
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
333,333_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,684,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,51.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,2406,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,4
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
342,342_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,28.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,63,4
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,4
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,1132,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55,4
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,15.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,56,4
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,48.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1908,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,38.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2692,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,5000,2844,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,4
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,2180,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,30.000000000000000000000000000000,655,813,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.796179813758214893759657115879,94,4
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,3610,2768,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.791559474154310382942867363454,91,4
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,2736,3991,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.788818566976479451646753204841,90,4
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3160,912,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.795985885752761856970494136476,98,4
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,24.000000000000000000000000000000,1006,4141,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.790750923916652581624475715216,91,4
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,2810,2876,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.796490004732084089233978829725,94,4
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2704,1265,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.797215174845274709980458283098,94,4
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3501,4727,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.038114320938536790095430006886,17,4
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,2872,718,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.095482148303487002216627388407,1,4
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,797,19,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.781516642131641625645954718493,86,4
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,31.000000000000000000000000000000,2853,3541,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.049710051738009360111636425472,97,4
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1733,4287,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.045606320058615784640565493646,97,4
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3400,4036,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.793607317739924544852669896500,93,4
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,46.000000000000000000000000000000,4363,374,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.789207189373081763328343640751,90,4
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,1710,4386,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.533392304640630587897476289072,1,4
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,2047,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,4
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4384,189,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.118626037445561702265983683446,21,4
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,2725,4605,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.118338190352606439925686743209,21,4
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3672,4517,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,8,4
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2122,432,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.192566367754223699559901206158,12,4
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,604,2380,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.038305401590486620744258061677,23,4
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,359,1583,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.134945742340700974848388682403,86,4
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1409,184,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.629545617363993170734204340988,12,4
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,998,598,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.546488497644585513590698155895,6,4
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,682,4911,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.541246228939871398821992443118,9,4
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,16.000000000000000000000000000000,143,1106,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.974485808647238771484921926458,72,4
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,23.000000000000000000000000000000,4661,2711,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.118002124272446759500887480954,85,4
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3450,1138,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.036810062505460539039603418132,27,4
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,4634,425,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.384703504668778784036931028822,55,4
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4763,310,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.035264884997118037257557432440,22,4
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3430,3260,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.841414703686354181755291392619,86,4
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,1450,3846,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.085441950146219511341705299401,91,4
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4343,3829,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.405190370381304121316645705519,10,4
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,26.000000000000000000000000000000,1927,4436,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.457274659841203579002666401720,100,4
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4701,248,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.964774968708906888181786598579,23,4
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,536,4971,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.807559662025198465862274588289,25,4
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3612,48,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.454714973142877842970932533717,100,4
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4835,193,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.474616160582315149696341904928,41,4
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,544,4047,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.280824824440886744447709588712,86,4
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3702,545,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.859371744947262983238545075437,67,4
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4998,246,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.294045644363745639626728234362,84,4
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,87,4409,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.534912400178906288772395782871,28,4
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,201,4823,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.402458924556533315097794911708,20,4
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,301,3960,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.959104090227507755095359698316,30,4
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4095,559,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.585219078798824066112160835473,100,4
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,39.000000000000000000000000000000,7,2671,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.458318537687000315816732154417,97,4
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,32.000000000000000000000000000000,6,2053,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.937575969208575332736188556737,93,4
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4762,1183,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.930235800497524301100327193126,90,4
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,234,921,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.841676641313082174455928452517,83,4
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,14,4677,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.591091216802092311866090312833,70,4
410,410_0,FAILED,BoTorch,GenerationStep_1,,,158,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.712118001957426027814790359116,10,4
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,3486,297,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.584581283508827209693947679625,66,4
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4903,4902,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.395187053512217001394191129293,8,4
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,68.000000000000000000000000000000,4524,74,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.039136556489300054761937275316,69,4
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,2584,3413,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.404757818608281916272773059973,13,4
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4991,897,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.564555213693791912987762771081,32,4
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4147,4897,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.666320923072101334305727959872,25,4
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,4901,2249,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.528990651148912749413000256027,25,4
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1068,3497,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.036622256004784914384941885146,75,4
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,59.000000000000000000000000000000,492,261,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.492715312442675801296587678735,84,4
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,3798,1779,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.645211577552481374553394743998,19,4
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,62.000000000000000000000000000000,1326,562,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.142244310693054598626616780166,92,4
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4150,4790,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.750748693905626263145336451998,18,4
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,2933,61,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.288991881492976276923911882477,8,4
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,661,1837,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.394354731471203312498374771167,72,4
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,3123,4651,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.960402535804835144617186415417,44,4
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,11.000000000000000000000000000000,4800,3128,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.325898551099622069138206370553,16,4
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,1361,4905,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.951679064826851828229337115772,48,4
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,27.000000000000000000000000000000,4032,2205,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.565621152699069318359192948265,95,4
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,22.000000000000000000000000000000,1021,283,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.883005739062195371680275002291,60,4
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,271,4682,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.339462889324600614049387559135,21,4
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,253,4751,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.642607907314350357275145597669,100,4
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,20.000000000000000000000000000000,4557,4904,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.033039245953531089228238926125,83,4
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,2946,684,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.326952968279187461408952231068,18,4
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,19.000000000000000000000000000000,4322,3932,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.401600318992328175760064823407,67,4
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,31.000000000000000000000000000000,23,226,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.113113377820555111030742523326,62,4
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,240,4637,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.079920043376994459594087061305,52,4
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,13.000000000000000000000000000000,1554,1339,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.719184730963114526858248609642,8,4
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,17.000000000000000000000000000000,4002,396,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.082256121433911227880386718425,57,4
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,53.000000000000000000000000000000,4746,500,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.143976383720903516882927419829,91,4
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,3998,4924,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.509913808239482513329221546883,60,4
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4760,519,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.742234861493458075720752731286,60,4
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,1108,121,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.333369046664637236343509130165,88,4
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,4912,1215,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.620903089697820487202761796652,37,4
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4191,4272,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.276088727396987587692223087288,8,4
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,861,2736,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.101939786821620859136316994409,58,4
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,22.000000000000000000000000000000,494,1184,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.485638900342633073048403957728,68,4
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,12.000000000000000000000000000000,579,2140,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.067123632161878291069179169881,44,4
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,10.000000000000000000000000000000,4372,4708,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.516350673875631493991988918424,47,4
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.680000000000000048849813083507,14.000000000000000000000000000000,4528,1631,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.881354700513647837389896722016,36,4
450,450_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,1716,4118,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.123290968760848052010459241501,38,4
451,451_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,16.000000000000000000000000000000,3665,782,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.825484725764021320948415905150,96,4
452,452_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,18.000000000000000000000000000000,4995,3560,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.534059553489089067213058115158,18,4
453,453_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,28.000000000000000000000000000000,386,1310,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.268525208810344362397870554560,75,4
454,454_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,769,3060,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.161039935365319242244197539549,6,4
455,455_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,26.000000000000000000000000000000,3969,2062,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.894447810241952523391262275254,61,4
456,456_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,17.000000000000000000000000000000,2798,4850,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.745349900070577886523892630066,28,4
457,457_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,64.000000000000000000000000000000,1940,262,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.448532852670177839549126019847,82,4
458,458_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,18.000000000000000000000000000000,2289,3198,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.360335309706628303949571545672,9,4
459,459_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,2994,1692,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.562613234521821103939487329626,51,4
460,460_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,4323,3894,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.795528143938630805109823995735,37,4
461,461_0,FAILED,Sobol,SOBOL,,,960,986,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.031909157423302532408104781325,79,4
462,462_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,113,4645,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.416175468411296600734772255237,48,4
463,463_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,66.000000000000000000000000000000,4567,487,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.649545675633475205756894865772,93,4
464,464_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,3396,2680,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.989701909653842415437452473270,21,4
465,465_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,23.000000000000000000000000000000,1283,2422,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.194922054024413232697909847957,66,4
466,466_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,1416,2608,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.661510420907288843039850689820,99,4
467,467_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,3204,2201,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.395941771721467383748915835895,44,4
468,468_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,13.000000000000000000000000000000,4377,4403,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.244894642800092710022141773152,69,4
469,469_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,243,396,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.947054119462147347974223521305,15,4
470,470_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,18.000000000000000000000000000000,1113,3984,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.621796994268894231971955832705,59,4
471,471_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,4152,1228,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.325014251375570883961785284555,1,4
472,472_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,15.000000000000000000000000000000,2825,3421,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.035538297850638625452468488675,88,4
473,473_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,2440,1762,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.768980454927310375090598881798,30,4
474,474_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,2082,4783,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.913720218576490883499729989126,56,4
475,475_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,22.000000000000000000000000000000,2635,35,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.150066934989765282670859392056,10,4
476,476_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,14.000000000000000000000000000000,3808,2814,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.492172387760132556966397032738,78,4
477,477_0,COMPLETED,Sobol,SOBOL,0.680000000000000048849813083507,19.000000000000000000000000000000,909,1976,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.694416022939607469055545152514,33,4
478,478_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,404,4069,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.762753360178460626528362809040,72,4
479,479_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,3263,4056,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.693601900735629661731707074068,12,4
480,480_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,27.000000000000000000000000000000,3821,817,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.693505221305766528239189483429,3,4
481,481_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1430,1605,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.694277928111335596028652616951,1,4
482,482_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,10.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,53,4
483,483_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,3410,2797,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.992314439375213908078876556829,26,4
484,484_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,4466,4835,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.387861382572311563787792465519,1,4
485,485_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,3469,368,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.786206695334093486060567101958,74,4
486,486_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,37.000000000000000000000000000000,141,4276,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.617557001944441963381393634336,100,4
487,487_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4244,1000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.859168903440230669055210910301,100,4
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,2942,4943,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.884265684542498764386664333870,16,4
489,489_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,2595,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,69,4
490,490_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,34.000000000000000000000000000000,3589,4692,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.825535475220631753678901532112,100,4
491,491_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,23.000000000000000000000000000000,723,4453,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.190736692104687993731815254250,8,4
492,492_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,29,225,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.776357771493548787233862640278,3,4
493,493_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,24.000000000000000000000000000000,4079,4563,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.208667040700167200073522622006,64,4
494,494_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,3056,4876,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.682732060099473292424931969435,61,4
495,495_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,2263,4746,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.676425028711176934415050254756,44,4
496,496_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,3013,4615,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.477229745355708667720051607830,100,4
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,4870,2714,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.575075540589032541127778586088,6,4
498,498_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,904,4886,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.818434413133663385409022339445,1,4
499,499_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,4532,4931,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.620227372173000168764644968178,1,4
500,500_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,534,4553,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.710342193368877827808205438487,13,4
501,501_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,25.000000000000000000000000000000,1629,4930,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.371358031574617997172538252926,74,4
502,502_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,4812,1617,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.335139078468949025424450383071,100,4
503,503_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,40.000000000000000000000000000000,654,4212,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.160380823456140325644625477253,100,4
504,504_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,4724,935,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.748335995731576053557887462375,58,4
505,505_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,4497,4318,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.374110141386289341003390518381,46,4
506,506_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,1341,462,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.376772486737254996835844167435,47,4
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,4690,4967,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.462883455819453615287528691624,9,4
508,508_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,68.000000000000000000000000000000,52,495,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.686563078722176478585481618211,80,4
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,210,56,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.678436291850779804590843014012,56,4
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,1506,1482,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.757686294740301580219465904520,47,4
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,22.000000000000000000000000000000,857,1374,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.760954427919403819657873100368,61,4
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,4373,1007,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.738161775080954707384250923496,66,4
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,27.000000000000000000000000000000,2918,4884,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.160467557968879154239871809295,81,4
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,26.000000000000000000000000000000,276,4504,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73,4
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,611,525,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.757808356517279291253430528741,25,4
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,23.000000000000000000000000000000,1019,2924,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.459033005971675456269309734125,35,4
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4485,2694,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.130598571661666662535594696237,1,4
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,999,243,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.520568040475759219454232606950,74,4
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,48.000000000000000000000000000000,5,25,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.304872357302291008274153227831,35,4
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,38.000000000000000000000000000000,4781,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.795218418917496117082066575676,77,4
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,38.000000000000000000000000000000,4260,4591,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.375310800614397699348501191707,100,4
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1981,797,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.753297798661262896224855012406,46,4
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,4765,4057,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.206612345702459315743837464652,53,4
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,1127,4857,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.395263580403901193527360646840,49,4
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1700,327,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.627914172083161248316685032478,28,4
526,526_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,4187,1754,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.021035264321890324856756393501,1,4
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,12.000000000000000000000000000000,4120,429,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72,4
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,1271,3550,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.375532589108464542881904435490,40,4
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,1835,3927,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.758560061288885312258400972496,45,4
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,376,753,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.806427766366486387106249367207,67,4
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,24.000000000000000000000000000000,3159,4210,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.362985629648719498874243072351,59,4
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,3879,553,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.406479882621871790870926588468,59,4
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,4
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,57,4
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,2724,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
537,537_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,12.000000000000000000000000000000,5000,3261,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,4
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,1907,273,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,94,4
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,1,2353,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1,2074,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41,4
542,537_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,356,449,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,80,4
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,2394,1465,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,99,4
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,1266,4057,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.205230457834746471412756818609,20,4
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,4159,4440,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.997487398266358904486139635992,53,4
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,913,4967,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,53,4
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,26.000000000000000000000000000000,158,4568,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.398760646428364673443667243191,100,4
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,516,4303,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.886835434994469262726113356621,28,4
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,5000,2120,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,3393,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,4
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,7,4736,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.544720771936828329629065592599,63,4
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,12.000000000000000000000000000000,1,2060,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,34,4857,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.384875070364143367918075000489,43,4
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,50.000000000000000000000000000000,4908,68,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.605571399517133013290504095494,45,4
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1012,941,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.175182771718941060479224347546,46,4
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,30.000000000000000000000000000000,548,4820,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.604416925099740764970590589655,84,4
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,1095,665,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.355223214585648539021178748953,35,4
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,3255,1045,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.251497755263716538109974862891,58,4
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,372,375,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.413098540102712907806647990583,53,4
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.570674984048089917187951414235,1,4
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,17,3320,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.279000395429076897269027313087,67,4
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,349,211,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.375180903488953498836622202361,25,4
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,2977,4623,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.841872217476603901253895401169,51,4
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,4256,563,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.843787840869918204234068070946,42,4
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4963,129,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.575205455525753528434051986551,16,4
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,28.000000000000000000000000000000,239,1996,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.941894945523947813015297469974,66,4
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,418,1309,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.909782964886107992086294871115,84,4
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,4706,1417,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.297243727535756563362667748152,46,4
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,4151,4594,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.954910117496595267638781479036,37,4
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,50,185,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.507275980971801709884516640159,4,4
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.600227896710592401241513016430,1,4
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4589,2706,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.111492218216490190929590653468,89,4
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,117,3135,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.161848490802435546198623228520,40,4
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,275,1007,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.826589627836568419105844895967,19,4
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,25.000000000000000000000000000000,4394,3235,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.789683868613253681090213831339,70,4
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,30.000000000000000000000000000000,4613,201,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.493596335104204642085790055717,53,4
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4582,4955,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.585668584808102798966444879625,37,4
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,23.000000000000000000000000000000,178,109,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.519888134356899289656439577811,35,4
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,2939,413,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.906769136363186345484166395181,1,4
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,4560,805,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.974054857197017676107009265252,95,4
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,244,1829,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.232424204471198575516766027249,32,4
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,733,3569,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.771571317456551497571126674302,86,4
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,1728,4814,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.327284624426768422367217681312,62,4
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,4836,619,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.587765846387690804597525584541,28,4
586,43_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,4
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,30.000000000000000000000000000000,4882,4560,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.844049705049797927003396580403,97,4
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,828,4377,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.312719300253456622407099985139,23,4
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4372,809,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.111192258438657237684665801680,72,4
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,48.000000000000000000000000000000,951,1191,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.333426112165509880291835997923,81,4
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,12.000000000000000000000000000000,4566,4230,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.407905041654178457388724154953,29,4
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,4619,140,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.819619953216499275150397352263,7,4
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,1076,983,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.108995940388235706963726556751,14,4
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4627,466,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.356059741294325937666087611433,1,4
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,843,4652,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.328450456914945509989678384954,94,4
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,23.000000000000000000000000000000,1028,4083,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.818732999667672545207608436613,63,4
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,3694,460,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.877513886905595064114038450498,7,4
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4731,4828,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.590443934582743801264825833641,90,4
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,18.000000000000000000000000000000,4832,310,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.653981133158414662531754402153,31,4
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,26.000000000000000000000000000000,4710,4918,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.518903093704772944150249713857,81,4
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,198,733,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.270455973639091795668321083213,21,4
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4561,94,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.611516722416407310092267834989,76,4
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,366,4934,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.583498438895502569145889992797,57,4
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,12.000000000000000000000000000000,3659,1268,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.036907423483559936849829341554,34,4
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,1274,4348,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.980036816474327721060433304956,73,4
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,22.000000000000000000000000000000,2255,870,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.115108295710884628304526700049,52,4
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,2817,1795,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.939374046715613864044769343309,9,4
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,513,1657,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.546881591739282857389525815961,46,4
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,192,4682,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.061430591703743549214511432410,98,4
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,2109,3396,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.017585682828341206440647681575,96,4
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,24.000000000000000000000000000000,4670,508,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.975135851830860933553424274578,54,4
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,15.000000000000000000000000000000,4009,4838,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.210221407971289686589244638526,77,4
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,1270,269,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.698989917535440707929694781342,68,4
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,14.000000000000000000000000000000,267,4459,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.137650333037501126920432170664,91,4
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,706,4624,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.563934084176860528359043200908,23,4
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,1460,98,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.229005302989017806014615530330,23,4
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,1176,3718,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.046769056768142282243250207330,52,4
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,4507,1763,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.808543300079344717801177466754,31,4
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,17,4988,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.652079207424626439149051293498,61,4
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,4039,562,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.699413687612640000423880337621,25,4
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,17.000000000000000000000000000000,3017,580,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.756767071289059067851212603273,79,4
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,19.000000000000000000000000000000,4987,1334,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.852968428179025406343782833574,74,4
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,27.000000000000000000000000000000,4471,3761,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.461934773505865425846650396124,62,4
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,1993,3759,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.188427094900059710624873332563,59,4
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,4835,405,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.342386368108031691193104961712,41,4
626,626_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,16.000000000000000000000000000000,4427,708,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.072609235468072699792863033963,95,4
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,1784,4602,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.712646056517939108232440048596,43,4
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,20.000000000000000000000000000000,4696,330,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.921795300891017466149435222178,49,4
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,13.000000000000000000000000000000,1,3032,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,4
</pre>
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			<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>
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			<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=4546245, 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=4546245, 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 4546245 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546245/4546245_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_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546245/4546245_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546245/4546245_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4546245/4546245_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572803/4572803_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575712/4575712_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_NOAAWeather_ft_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4591056/4591056_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_4_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0 </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                                </td></tr><tr><td> run_dir</td><td>runs                                                                                                                                </td></tr><tr><td> seed</td><td>None                                                                                                                                </td></tr><tr><td> decimalrounding</td><td>4                                                                                                                                   </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                               </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                               </td></tr><tr><td> model</td><td>None                                                                                                                                </td></tr><tr><td> gridsearch</td><td>False                                                                                                                               </td></tr><tr><td> occ</td><td>False                                                                                                                               </td></tr><tr><td> show_sixel_scatter</td><td>False                                                                                                                               </td></tr><tr><td> show_sixel_general</td><td>False                                                                                                                               </td></tr><tr><td> show_sixel_trial_index_result</td><td>False                                                                                                                               </td></tr><tr><td> follow</td><td>False                                                                                                                               </td></tr><tr><td> send_anonymized_usage_stats</td><td>False                                                                                                                               </td></tr><tr><td> ui_url</td><td>None                                                                                                                                </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                                      </td></tr><tr><td> exclude</td><td>None                                                                                                                                </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                                   </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                                   </td></tr><tr><td> max_nr_of_zero_results</td><td>10                                                                                                                                  </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                               </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                                </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                               </td></tr><tr><td> live_share</td><td>False                                                                                                                               </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                               </td></tr><tr><td> workdir</td><td>False                                                                                                                               </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                              </td></tr><tr><td> result_names</td><td>[&#039;RESULT=min&#039;]                                                                                                                      </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                                   </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                                </td></tr><tr><td> generate_all_jobs_at_once</td><td>False                                                                                                                               </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                                </td></tr><tr><td> load_data_from_existing_jobs</td><td>[]                                                                                                                                  </td></tr><tr><td> n_estimators_randomforest</td><td>100                                                                                                                                 </td></tr><tr><td> external_generator</td><td>None                                                                                                                                </td></tr><tr><td> username</td><td>None                                                                                                                                </td></tr><tr><td> max_failed_jobs</td><td>None                                                                                                                                </td></tr><tr><td> num_parallel_jobs</td><td>20                                                                                                                                  </td></tr><tr><td> worker_timeout</td><td>30                                                                                                                                  </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                               </td></tr><tr><td> time</td><td></td></tr><tr><td> partition</td><td></td></tr><tr><td> reservation</td><td>None                                                                                                                                </td></tr><tr><td> force_local_execution</td><td>False                                                                                                                               </td></tr><tr><td> slurm_signal_delay_s</td><td>0                                                                                                                                   </td></tr><tr><td> nodes_per_job</td><td>1                                                                                                                                   </td></tr><tr><td> cpus_per_task</td><td>1                                                                                                                                   </td></tr><tr><td> account</td><td>None                                                                                                                                </td></tr><tr><td> gpus</td><td>0                                                                                                                                   </td></tr><tr><td> run_mode</td><td>local                                                                                                                               </td></tr><tr><td> verbose</td><td>False                                                                                                                               </td></tr><tr><td> verbose_break_run_search_table</td><td>False                                                                                                                               </td></tr><tr><td> debug</td><td>False                                                                                                                               </td></tr><tr><td> no_sleep</td><td>False                                                                                                                               </td></tr><tr><td> tests</td><td>False                                                                                                                               </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False                                                                                                                               </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False                                                                                                                               </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False                                                                                                                               </td></tr><tr><td> raise_in_eval</td><td>False                                                                                                                               </td></tr><tr><td> show_ram_every_n_seconds</td><td>False                                                                                                                               </td></tr></tbody></table>
			<h1>&nbsp;Worker-Usage</h1>
			<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
<pre id="pre_tab_worker_usage">1744998016.2403445,20,0,0
1744998024.659977,20,0,0
1744998025.4897122,20,0,0
1744998025.6790419,20,0,0
1744998027.4321485,20,1,5
1744998031.8540635,20,1,5
1744998032.5449905,20,1,5
1744998032.6994655,20,1,5
1744998034.0447361,20,2,10
1744998040.3105223,20,2,10
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1744998041.282467,20,2,10
1744998042.9085176,20,3,15
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1744998051.8427029,20,3,15
1744998052.0076504,20,3,15
1744998053.3630974,20,4,20
1744998063.9761703,20,4,20
1744998064.7807105,20,4,20
1744998064.9550202,20,4,20
1744998066.2645175,20,5,25
1744998079.0279229,20,5,25
1744998079.7633078,20,5,25
1744998079.9410095,20,5,25
1744998081.9502358,20,6,30
1744998097.383053,20,6,30
1744998098.13434,20,6,30
1744998098.3961298,20,6,30
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1745070431.0967457,20,0,0
1745070441.904538,20,0,0
1745071054.4311147,20,0,0
1745071054.6098886,20,0,0
1745071056.0255327,20,1,5
1745071062.8176167,20,1,5
1745071676.4560068,20,1,5
1745071676.9644194,20,1,5
1745071678.3812132,20,2,10
1745071678.8611827,20,2,10
1745071688.8393254,20,1,5
1745071689.0104332,20,1,5
1745072295.540376,20,1,5
1745072295.957536,20,1,5
1745072297.3619914,20,2,10
1745072297.832659,20,2,10
1745072307.854834,20,1,5
1745072309.0855658,20,1,5
1745073085.2047832,20,1,5
1745073085.4828255,20,1,5
1745073087.0198185,20,2,10
1745073087.4861777,20,2,10
1745073098.3160741,20,1,5
1745073098.8102245,20,1,5
1745073704.9549162,20,1,5
1745073705.2582083,20,1,5
1745073706.9544122,20,2,10
1745073707.4467938,20,2,10
1745073718.1877038,20,1,5
1745073718.3591306,20,1,5
1745074326.4990292,20,1,5
1745074326.9747405,20,1,5
1745074328.346871,20,2,10
1745074328.8198407,20,2,10
1745074339.0145218,20,1,5
1745074339.187327,20,1,5
1745074886.0309918,20,1,5
1745074886.308908,20,1,5
1745074888.0107036,20,2,10
1745074888.4952495,20,2,10
1745074899.009971,20,1,5
1745074899.189252,20,1,5
1745075449.5380833,20,1,5
1745075449.9565563,20,1,5
1745075451.3217933,20,2,10
1745075451.7896872,20,2,10
1745075461.988703,20,1,5
1745075462.1545312,20,1,5
1745076345.6293437,20,1,5
1745076345.9656374,20,1,5
1745076347.3395295,20,2,10
1745076347.7859364,20,2,10
1745076358.3860059,20,1,5
1745076358.8809757,20,1,5
1745076997.9853277,20,1,5
1745076998.4417875,20,1,5
1745077000.0417347,20,2,10
1745077000.5237236,20,2,10
1745077011.1685116,20,1,5
1745077011.353861,20,1,5
1745077559.949134,20,1,5
1745077560.2456965,20,1,5
1745077561.8624506,20,2,10
1745077562.3314703,20,2,10
1745077573.147988,20,1,5
1745077573.325787,20,1,5
1745078063.0159829,20,1,5
1745078063.2944958,20,1,5
1745078065.0227222,20,2,10
1745078065.509047,20,2,10
1745078076.0209963,20,1,5
1745078076.1904714,20,1,5
1745078766.1363127,20,1,5
1745078766.4163811,20,1,5
1745078768.0297487,20,2,10
1745078768.4874542,20,2,10
1745078778.7482407,20,1,5
1745078778.9296663,20,1,5
1745079420.6789715,20,1,5
1745079420.9845912,20,1,5
1745079422.3642051,20,2,10
1745079422.852123,20,2,10
1745079433.4259455,20,1,5
1745079433.8807893,20,1,5
1745080025.623452,20,1,5
1745080025.9784064,20,1,5
1745080027.3458326,20,2,10
1745080027.816025,20,2,10
1745080038.2929342,20,1,5
1745080038.5821295,20,1,5
1745080672.9073262,20,1,5
1745080673.9233003,20,1,5
1745080675.3122618,20,2,10
1745080675.7768776,20,2,10
1745080686.5396364,20,1,5
1745080686.8777292,20,1,5
1745081398.2880456,20,1,5
1745081398.9819443,20,1,5
1745081400.413569,20,2,10
1745081400.8942845,20,2,10
1745081411.554337,20,1,5
1745081411.8596203,20,1,5
1745082060.0534444,20,1,5
1745082060.372229,20,1,5
1745082062.0355465,20,2,10
1745082062.5690546,20,2,10
1745082073.3282156,20,1,5
1745082073.437205,20,1,5
1745082728.2198732,20,1,5
1745082730.9726546,20,1,5
1745082732.5248244,20,2,10
1745082733.0151324,20,2,10
1745082743.7336352,20,1,5
1745082743.911294,20,1,5
1745083373.653295,20,1,5
1745083373.9735978,20,1,5
1745083375.3560514,20,2,10
1745083375.7932487,20,2,10
1745083386.3547335,20,1,5
1745083386.8545496,20,1,5
</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
1744998016,641.64453125,9.7
1744998016,641.6484375,17.6
1744998016,641.6484375,17.4
1744998016,641.6484375,22.9
1744998016,641.6484375,17.3
1744998016,641.6484375,15.8
1744998016,641.6484375,21.3
1744998480,696.02734375,15.9
1744998480,696.02734375,19.4
1744998480,696.02734375,18.3
1744998480,696.02734375,17.8
1745004213,897.5078125,22.7
1745004213,897.5078125,22.9
1745004213,897.5078125,23.1
1745004213,897.5078125,24.7
1745013134,913.41015625,21.6
1745013134,913.41015625,22.8
1745013134,913.41015625,22.6
1745013134,913.41015625,23.7
1745022683,946.484375,21.9
1745022683,946.484375,21.9
1745022683,946.484375,22.5
1745022683,946.484375,23.7
1745035515,990.67578125,22.0
1745035515,990.67578125,23.3
1745035515,990.67578125,22.6
1745035515,990.67578125,17.1
1745046770,1000.109375,21.4
1745046770,1000.109375,20.1
1745046770,1000.109375,19.3
1745046770,1000.109375,21.3
1745058122,1035.17578125,20.3
1745058122,1035.17578125,21.1
1745058122,1035.17578125,20.9
1745058122,1035.17578125,15.2
1745070395,1096.12890625,20.5
1745070395,1096.12890625,20.8
1745070395,1096.12890625,21.0
1745070395,1096.12890625,22.0
1745083394,1175.95703125,20.6
1745083394,1175.95703125,21.8
1745083394,1175.95703125,21.5
1745083394,1175.95703125,22.6
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;Heatmap</h1>
			<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
			    <h1>Correlation Heatmap Explanation</h1>
			
			    <p>
			        This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
			    </p>
			
			    <h2>How It Works</h2>
			    <p>
			        The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
			    </p>
			    <ul>
			        <li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
			        <li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
			        <li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
			    </ul>
			
			    <h2>Color Scale: Yellow to Purple (Viridis)</h2>
			    <p>
			        The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
			    </p>
			    <ul>
			        <li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
			        <li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
			        <li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
			        <li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
			    </ul>
			
			    <h2>What the Heatmap Shows</h2>
			    <p>
			        In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
			    </p>
			
			<h1>&nbsp;Result-Pairs</h1>
			<div class="invert_in_dark_mode" id="plotResultPairs"></div>
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
			<h1>&nbsp;Exit-Codes</h1>
			<div class="invert_in_dark_mode" id="plotExitCodesPieChart"></div>
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