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_0,0.560000000000000053290705182008,1351.000000000000000000000000000000,3536,3602,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.704548403024673475236738795502,90,7
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1005.000000000000000000000000000000,2128,2304,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.389842905689030905236336366215,32,7
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1077.000000000000000000000000000000,226,3754,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.063467171752825374264617153131,70,7
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,974.000000000000000000000000000000,4110,268,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.779719414504244867636373328423,10,7
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1006.000000000000000000000000000000,4467,4755,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.534261846724897626614847467863,54,7
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,993.000000000000000000000000000000,1199,1229,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.371587751280516409568832614241,14,7
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,990.000000000000000000000000000000,1763,2719,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.175329983042553066985291820856,88,7
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1063.000000000000000000000000000000,2574,1381,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.981238711336627655867914654664,46,7
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1068.000000000000000000000000000000,2899,4182,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.873518247351050325377741501143,59,7
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1098.000000000000000000000000000000,1515,539,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.032333265341818330507184242606,25,7
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1328.000000000000000000000000000000,839,3405,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.483216181589290472153663813515,76,7
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1056.000000000000000000000000000000,4747,1950,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.673354427477344863461894419743,41,7
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1073.000000000000000000000000000000,3863,3069,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.887867335252463862893534951581,98,7
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1128.000000000000000000000000000000,552,1574,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.206525867700576792884703536402,33,7
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1066.000000000000000000000000000000,2410,4479,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.277790818249806781281563416997,69,7
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1637.000000000000000000000000000000,3178,797,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.565397652952000506765273257770,2,7
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,992.000000000000000000000000000000,3358,4667,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.241259749945253121339305835136,28,7
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,2967.000000000000000000000000000000,2228,693,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.914808090079575753073015675909,93,7
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1090.000000000000000000000000000000,419,2943,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.600858566189184761796582279203,7,7
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1266.000000000000000000000000000000,3995,1781,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.305466218205168837940277626330,73,7
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1196.000000000000000000000000000000,4889,3242,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.005156594995409250273277201870,17,7
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1114.000000000000000000000000000000,698,2040,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.838533221315592491862389579182,51,7
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1177.000000000000000000000000000000,1346,4330,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.645930178748443717395844032580,49,7
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1011.000000000000000000000000000000,3070,316,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.447991191307082758932267552154,85,7
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1026.000000000000000000000000000000,2706,2511,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.336614157602190988693990902902,22,7
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1221.000000000000000000000000000000,1630,1506,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.507073766328394404112600568624,62,7
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1005.000000000000000000000000000000,1018,4861,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.946017539275810115384501841618,38,7
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1455.000000000000000000000000000000,4647,1042,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.147901938399299992532576197846,80,7
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1098.000000000000000000000000000000,4281,3976,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.416779834859073161634768212025,36,7
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1047.000000000000000000000000000000,56,119,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.739286083042621666727711726708,94,7
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,968.000000000000000000000000000000,1,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36,7
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1794.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,7
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1765.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.399034142678908076984356512185,1,7
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1059.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.853108784753710991388686579739,35,7
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1736.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,53,7
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1034.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.580104582557747772142420217278,23,7
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,956.000000000000000000000000000000,1,4877,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,89,7
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1064.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,7
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1568.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,4,7
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1871.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,26,7
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1934.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,7
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,995.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,9,7
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1132.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.571944396749773487087509238336,100,7
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,948.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,7
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1768.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,7
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1092.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32,7
46,46_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39,7
47,47_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,7
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1042.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,7
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1897.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,7
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1806.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,7
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1037.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,7
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,971.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,7
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1051.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,65,7
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1046.000000000000000000000000000000,4907,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.455600477901717981765727927268,89,7
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1751.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22,7
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,986.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.910215393607307854395571666828,1,7
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1253.000000000000000000000000000000,1,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,7
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1814.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,7
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,991.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,57,7
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1056.000000000000000000000000000000,3526,1486,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,7
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1604.000000000000000000000000000000,1,1555,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,7
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1725.000000000000000000000000000000,4613,2721,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,7
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,2301.000000000000000000000000000000,5000,1519,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,7
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1501.000000000000000000000000000000,3113,2558,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,7
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1624.000000000000000000000000000000,434,1076,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,7
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1061.000000000000000000000000000000,2185,4700,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,7
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,2736,2508,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,7
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,963.000000000000000000000000000000,1,1032,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,7
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1000.000000000000000000000000000000,1,2744,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,7
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1069.000000000000000000000000000000,583,4730,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,7
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,2800.000000000000000000000000000000,5000,1047,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,7
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1658.000000000000000000000000000000,1,1508,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,7
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1610.000000000000000000000000000000,267,1535,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,7
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1768.000000000000000000000000000000,5000,2204,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,7
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1670.000000000000000000000000000000,4466,3429,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,7
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,3503.000000000000000000000000000000,2319,372,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,7
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1730.000000000000000000000000000000,5000,3486,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,7
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1009.000000000000000000000000000000,4995,1101,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,7
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1082.000000000000000000000000000000,1,4105,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,7
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,2064.000000000000000000000000000000,1,2642,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,7
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1112.000000000000000000000000000000,1,2418,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,7
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1457.000000000000000000000000000000,5000,4070,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,7
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1081.000000000000000000000000000000,1,3453,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,7
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,986.000000000000000000000000000000,5000,2257,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,7
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1087.000000000000000000000000000000,5000,1034,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,7
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,930.000000000000000000000000000000,1,1446,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,7
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1120.000000000000000000000000000000,5000,4713,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,7
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1596.000000000000000000000000000000,563,2413,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,7
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1462.000000000000000000000000000000,1,1408,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,7
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,974.000000000000000000000000000000,4885,1139,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,82,7
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1062.000000000000000000000000000000,1,1164,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,83,7
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,976.000000000000000000000000000000,1,1192,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,80,7
93,93_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,35,7
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1055.000000000000000000000000000000,1,4106,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,82,7
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,991.000000000000000000000000000000,5000,3782,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,70,7
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1333.000000000000000000000000000000,4404,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,81,7
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,978.000000000000000000000000000000,5000,3412,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36,7
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1052.000000000000000000000000000000,5000,3791,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,7
99,99_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,7
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1057.000000000000000000000000000000,5000,1291,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,82,7
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,924.000000000000000000000000000000,5000,4012,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,85,7
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1307.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,95,7
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1131.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73,7
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1076.000000000000000000000000000000,5000,1764,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,7
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1206.000000000000000000000000000000,5000,3297,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,51,7
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1064.000000000000000000000000000000,1,1709,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19,7
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,960.000000000000000000000000000000,1,1290,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,81,7
108,108_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,37,7
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,956.000000000000000000000000000000,5000,1533,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,86,7
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1152.000000000000000000000000000000,5000,2858,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,42,7
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,966.000000000000000000000000000000,5000,3537,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,56,7
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1122.000000000000000000000000000000,5000,4074,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,97,7
113,113_0,FAILED,BoTorch,GenerationStep_1,,,982,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35,7
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1095.000000000000000000000000000000,5000,911,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,80,7
115,115_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33,7
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,970.000000000000000000000000000000,5000,3703,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24,7
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1018.000000000000000000000000000000,1,2955,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61,7
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1344.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,79,7
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1020.000000000000000000000000000000,5000,444,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,46,7
120,120_0,FAILED,BoTorch,GenerationStep_1,,,3516,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31,7
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1126.000000000000000000000000000000,1,935,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38,7
122,122_0,FAILED,BoTorch,GenerationStep_1,,,2390,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33,7
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,985.000000000000000000000000000000,4750,1191,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,26,7
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1013.000000000000000000000000000000,1,970,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,53,7
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,947.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,25,7
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1056.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14,7
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1083.000000000000000000000000000000,5000,1136,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,24,7
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1058.000000000000000000000000000000,1,1563,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,7
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1086.000000000000000000000000000000,5000,4379,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,13,7
130,130_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28,7
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1085.000000000000000000000000000000,5000,1358,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17,7
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1056.000000000000000000000000000000,1,4448,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,66,7
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1062.000000000000000000000000000000,1,1156,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,27,7
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1086.000000000000000000000000000000,1,1490,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,7
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1056.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,69,7
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1057.000000000000000000000000000000,1,2283,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,78,7
137,137_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,7
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,962.000000000000000000000000000000,5000,1543,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44,7
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,975.000000000000000000000000000000,1,3322,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,7
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,1,1908,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,64,7
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,945.000000000000000000000000000000,1,1546,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37,7
142,142_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,27,7
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,971.000000000000000000000000000000,4867,4260,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,66,7
144,144_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,30,7
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,965.000000000000000000000000000000,5000,1059,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,7
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,982.000000000000000000000000000000,5000,4492,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,6,7
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1245.000000000000000000000000000000,5000,1188,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,7
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1208.000000000000000000000000000000,134,1167,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,3,7
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,954.000000000000000000000000000000,1,4259,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21,7
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1057.000000000000000000000000000000,4819,3012,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,86,7
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1067.000000000000000000000000000000,5000,4453,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,85,7
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,972.000000000000000000000000000000,1,3467,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,7
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,934.000000000000000000000000000000,4684,4209,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46,7
154,154_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24,7
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,970.000000000000000000000000000000,3744,1626,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,87,7
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1068.000000000000000000000000000000,2959,1603,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,13,7
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,969.000000000000000000000000000000,521,4330,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,29,7
158,158_0,FAILED,BoTorch,GenerationStep_1,,,81,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,7
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1031.000000000000000000000000000000,1,4168,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,52,7
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1003.000000000000000000000000000000,5000,2652,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33,7
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1109.000000000000000000000000000000,1459,2991,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48,7
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,938.000000000000000000000000000000,1,3810,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40,7
163,163_0,FAILED,BoTorch,GenerationStep_1,,,964,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,7
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1141.000000000000000000000000000000,2747,1001,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.273191096258952603736958053560,47,7
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1047.000000000000000000000000000000,421,2341,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,22,7
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1127.000000000000000000000000000000,222,4494,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49,7
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1063.000000000000000000000000000000,321,4527,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,7
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,999.000000000000000000000000000000,4261,2582,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,8,7
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,960.000000000000000000000000000000,485,2951,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,22,7
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1071.000000000000000000000000000000,1671,2798,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,28,7
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1240.000000000000000000000000000000,1,1381,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53,7
172,172_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,42,7
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1093.000000000000000000000000000000,4023,3374,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,61,7
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,987.000000000000000000000000000000,4505,1091,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,86,7
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1042.000000000000000000000000000000,4897,3902,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,65,7
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,974.000000000000000000000000000000,4609,2746,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45,7
177,177_0,FAILED,BoTorch,GenerationStep_1,,,4197,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31,7
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1059.000000000000000000000000000000,1368,2017,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,11,7
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,971.000000000000000000000000000000,3148,4530,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,10,7
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1041.000000000000000000000000000000,578,2555,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.606444003476460991031160574494,1,7
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1119.000000000000000000000000000000,529,2673,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.804789243435966139550430398231,41,7
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1034.000000000000000000000000000000,4265,712,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.624464598844000517985364240303,92,7
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1048.000000000000000000000000000000,3314,1773,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.349575967069590765046172009534,82,7
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1027.000000000000000000000000000000,1,3726,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.513499788801917711467126537173,31,7
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1048.000000000000000000000000000000,3165,1332,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.421758411247591114001664891475,82,7
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1038.000000000000000000000000000000,4027,1764,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.564716414693595569751494167576,1,7
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,994.000000000000000000000000000000,1,2573,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.844898621641632541212629803340,1,7
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,1229,1336,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.560107844227654139146466150123,95,7
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1000.000000000000000000000000000000,132,653,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.642914067093029006905169353558,94,7
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1030.000000000000000000000000000000,1,2654,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.505985885461856188527463018545,27,7
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,996.000000000000000000000000000000,1785,3820,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.668706406428236643790796733811,32,7
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1001.000000000000000000000000000000,1681,3837,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41,7
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,993.000000000000000000000000000000,4261,1851,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.411136512926933872513757250999,100,7
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1085.000000000000000000000000000000,4028,2997,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.822009495940612011644077483652,38,7
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,4681,2177,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.361146403191446030422895319134,96,7
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1001.000000000000000000000000000000,3851,839,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.580269226235398671853715768520,90,7
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1042.000000000000000000000000000000,289,2660,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.378959425421726003868627685733,25,7
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1080.000000000000000000000000000000,702,3606,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.560243362996938221165521554212,19,7
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1061.000000000000000000000000000000,4345,708,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.583215759678406220345436850039,28,7
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1091.000000000000000000000000000000,1,2689,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41,7
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1117.000000000000000000000000000000,5000,3945,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.391076773021034995725386806953,20,7
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1024.000000000000000000000000000000,5000,1980,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,4,7
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1060.000000000000000000000000000000,4812,1748,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.380970500512225584976988557173,91,7
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1047.000000000000000000000000000000,2538,1156,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.562532110393843653994849773881,93,7
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1004.000000000000000000000000000000,3470,2280,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.357490262831368699192324811520,100,7
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1039.000000000000000000000000000000,724,429,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.508730590243051561394338477839,25,7
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1034.000000000000000000000000000000,2379,1901,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.409935098834295075231892724332,91,7
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,969.000000000000000000000000000000,5000,2218,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.078839221023338526550539029358,1,7
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,999.000000000000000000000000000000,5000,2456,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,7
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,969.000000000000000000000000000000,1443,684,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72,7
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1039.000000000000000000000000000000,2510,3760,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,72,7
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,960.000000000000000000000000000000,3116,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,11,7
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1006.000000000000000000000000000000,4502,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17,7
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,1123,3104,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.322126210611104524250691838461,83,7
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,922.000000000000000000000000000000,1720,4456,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,55,7
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,967.000000000000000000000000000000,3678,4596,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,7
217,217_0,FAILED,BoTorch,GenerationStep_1,,,1655,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44,7
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1032.000000000000000000000000000000,4198,4403,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,72,7
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,953.000000000000000000000000000000,3863,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19,7
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1079.000000000000000000000000000000,3568,3512,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19,7
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1058.000000000000000000000000000000,2872,3369,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74,7
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,957.000000000000000000000000000000,1041,676,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,75,7
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1209.000000000000000000000000000000,1512,456,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34,7
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1099.000000000000000000000000000000,1835,4365,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,58,7
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1061.000000000000000000000000000000,4285,2147,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,71,7
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,976.000000000000000000000000000000,1788,70,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20,7
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,958.000000000000000000000000000000,1884,4379,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,97,7
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1061.000000000000000000000000000000,2232,1909,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55,7
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1101.000000000000000000000000000000,841,3362,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55,7
230,230_0,FAILED,BoTorch,GenerationStep_1,,,3079,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,7
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1042.000000000000000000000000000000,4593,406,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.032266318691050968614497662657,39,7
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1006.000000000000000000000000000000,3494,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,7,7
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1067.000000000000000000000000000000,4666,1274,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,57,7
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1037.000000000000000000000000000000,1168,3568,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11,7
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1057.000000000000000000000000000000,1459,2914,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,66,7
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1069.000000000000000000000000000000,4992,2132,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73,7
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1210.000000000000000000000000000000,4357,3833,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73,7
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1056.000000000000000000000000000000,259,798,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73,7
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,995.000000000000000000000000000000,1297,1641,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,65,7
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1057.000000000000000000000000000000,5000,2141,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45,7
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1014.000000000000000000000000000000,5000,2207,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,34,7
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1063.000000000000000000000000000000,5000,2075,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,54,7
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1007.000000000000000000000000000000,4876,2258,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15,7
244,244_0,FAILED,BoTorch,GenerationStep_1,,,2773,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.408190849622859563972099294915,22,7
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,995.000000000000000000000000000000,4764,2060,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.669944001729757765417616610648,58,7
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1034.000000000000000000000000000000,5000,2180,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36,7
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,974.000000000000000000000000000000,150,4668,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72,7
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,921.000000000000000000000000000000,4386,4488,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,79,7
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,946.000000000000000000000000000000,1515,3569,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,84,7
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,963.000000000000000000000000000000,392,431,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,86,7
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,945.000000000000000000000000000000,2418,1083,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,65,7
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1035.000000000000000000000000000000,5000,2148,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.639202238361630925567169470014,44,7
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,997.000000000000000000000000000000,5000,4610,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,69,7
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1033.000000000000000000000000000000,5000,2146,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,57,7
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1050.000000000000000000000000000000,272,4796,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,70,7
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1095.000000000000000000000000000000,5000,2206,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,61,7
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1073.000000000000000000000000000000,5000,2222,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41,7
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1193.000000000000000000000000000000,2442,111,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.432155429567718907257756200124,24,7
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,952.000000000000000000000000000000,3252,3136,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,7
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,950.000000000000000000000000000000,2949,3132,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,36,7
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,965.000000000000000000000000000000,1,731,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,7
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,983.000000000000000000000000000000,4693,2032,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38,7
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1048.000000000000000000000000000000,4915,2013,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,74,7
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1054.000000000000000000000000000000,3014,4106,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,7
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1007.000000000000000000000000000000,3359,1280,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,47,7
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,992.000000000000000000000000000000,1,3518,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,95,7
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1059.000000000000000000000000000000,5000,2250,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,7
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1046.000000000000000000000000000000,558,253,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.953859019662840035280737538415,25,7
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,962.000000000000000000000000000000,1122,1012,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,22,7
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1021.000000000000000000000000000000,1,1869,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,7
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1086.000000000000000000000000000000,2466,2695,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.546137883380680366762760513666,100,7
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1014.000000000000000000000000000000,1443,3943,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.145954546142246982531887056211,78,7
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,927.000000000000000000000000000000,2976,4901,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,85,7
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,959.000000000000000000000000000000,686,4039,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,7
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,967.000000000000000000000000000000,1,2630,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,32,7
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1135.000000000000000000000000000000,5000,485,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19,7
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,968.000000000000000000000000000000,4497,3668,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20,7
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1068.000000000000000000000000000000,300,4542,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,90,7
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,958.000000000000000000000000000000,5000,2597,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33,7
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,941.000000000000000000000000000000,2975,4049,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45,7
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1038.000000000000000000000000000000,3537,2028,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,7
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1030.000000000000000000000000000000,2962,4795,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44,7
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,984.000000000000000000000000000000,1,3184,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,7
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1019.000000000000000000000000000000,4838,4820,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.340025242811159422728906065458,20,7
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,960.000000000000000000000000000000,1729,3717,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,7
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,973.000000000000000000000000000000,3172,2926,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34,7
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1003.000000000000000000000000000000,183,2576,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39,7
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,960.000000000000000000000000000000,2498,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,84,7
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,5000,456,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,88,7
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,946.000000000000000000000000000000,1223,4063,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,7
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,995.000000000000000000000000000000,2227,1492,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,63,7
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,959.000000000000000000000000000000,1,3197,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,7
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1025.000000000000000000000000000000,4036,3635,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.422255089979544806499944797906,35,7
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,956.000000000000000000000000000000,4538,630,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,7
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,979.000000000000000000000000000000,1,3924,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,7
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1014.000000000000000000000000000000,2380,3291,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,13,7
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,996.000000000000000000000000000000,1,2556,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,25,7
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1015.000000000000000000000000000000,650,3147,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,38,7
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1176.000000000000000000000000000000,1,4484,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,7
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1055.000000000000000000000000000000,1216,3196,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.599974665913316274057365262706,39,7
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1006.000000000000000000000000000000,1149,4619,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,85,7
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1065.000000000000000000000000000000,442,961,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.366662165317355959182066271751,68,7
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1166.000000000000000000000000000000,854,3397,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.238241324546230703873561651562,44,7
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1016.000000000000000000000000000000,302,3229,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.612816197444833177243594946049,58,7
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1066.000000000000000000000000000000,900,1332,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.540682308019518553798832272150,19,7
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,995.000000000000000000000000000000,224,3091,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.588116950250680559086902121635,34,7
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,953.000000000000000000000000000000,4598,4190,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,7
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1043.000000000000000000000000000000,830,1274,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.495428753764218021693466198485,45,7
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,993.000000000000000000000000000000,4653,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,88,7
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1776.000000000000000000000000000000,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,7
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1053.000000000000000000000000000000,317,1403,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.533489768748622417149363172939,31,7
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1130.000000000000000000000000000000,473,3207,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.532303962098957583748415345326,49,7
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,963.000000000000000000000000000000,5000,2982,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,84,7
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,988.000000000000000000000000000000,1500,4325,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46,7
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1050.000000000000000000000000000000,1,3019,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,7
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1097.000000000000000000000000000000,460,3249,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.981809008166959262808859421057,62,7
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1020.000000000000000000000000000000,249,1503,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.659223495035532458530269650510,12,7
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1022.000000000000000000000000000000,3770,4937,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,7
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1044.000000000000000000000000000000,373,420,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.306271472356295426653360891578,7,7
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1129.000000000000000000000000000000,3491,2005,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,85,7
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1277.000000000000000000000000000000,3345,172,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.499194552314806416770665009608,33,7
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,960.000000000000000000000000000000,1,4465,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,82,7
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1205.000000000000000000000000000000,4764,3174,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42,7
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1075.000000000000000000000000000000,1154,1574,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.135441797579345213353718690996,1,7
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1148.000000000000000000000000000000,3398,2422,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,79,7
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1058.000000000000000000000000000000,2757,1490,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.333306736676005022079749551267,31,7
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1009.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,60,7
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1062.000000000000000000000000000000,1,1699,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,27,7
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,984.000000000000000000000000000000,4821,4007,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21,7
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1044.000000000000000000000000000000,892,656,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.611322157814562561206628288346,14,7
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1009.000000000000000000000000000000,2145,3596,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.371857001359150507457940193490,69,7
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1033.000000000000000000000000000000,4703,991,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.305963847606389005573390704740,18,7
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1044.000000000000000000000000000000,3573,930,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.372502175805912882911030692412,18,7
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1046.000000000000000000000000000000,153,4831,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.151780610426296952431002296180,26,7
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1021.000000000000000000000000000000,2448,799,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.262437879504653859275009608609,17,7
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,971.000000000000000000000000000000,4242,4844,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.730643487276364189675348370656,17,7
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1162.000000000000000000000000000000,4861,1707,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.319371937302615538367689396182,53,7
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1030.000000000000000000000000000000,4783,916,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.495563708109080569563786866638,17,7
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1053.000000000000000000000000000000,3720,1279,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.323259446455002541487289136057,4,7
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1166.000000000000000000000000000000,4020,1555,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.628631587747508491226255955553,44,7
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1074.000000000000000000000000000000,882,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.187532868530708080045954488924,77,7
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1002.000000000000000000000000000000,160,1110,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.291605201469388453094921942466,63,7
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1224.000000000000000000000000000000,2812,2028,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.458293795385791069563197197567,55,7
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1009.000000000000000000000000000000,1445,3885,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,27,7
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1182.000000000000000000000000000000,973,1913,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.323267242241097596533450087009,51,7
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1060.000000000000000000000000000000,764,4460,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.364679057320873245551240415807,58,7
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1109.000000000000000000000000000000,721,2145,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.278252840727131189879628436756,43,7
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1140.000000000000000000000000000000,4012,1659,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.197933743007036394567776937947,55,7
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,936.000000000000000000000000000000,1350,4751,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,23,7
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1235.000000000000000000000000000000,4605,2159,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.368574262750909098507179351145,61,7
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1119.000000000000000000000000000000,4804,2057,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.272283976163000152048709878727,48,7
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1034.000000000000000000000000000000,674,694,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.264695967219689909377677849989,16,7
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,989.000000000000000000000000000000,3933,827,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.253999486088882731049665153478,16,7
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1447.000000000000000000000000000000,3156,2399,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.499266942280269632181699535067,70,7
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1043.000000000000000000000000000000,1685,1257,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.271661341234576525494048837572,7,7
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1058.000000000000000000000000000000,52,4498,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.248732570892556681396712292553,42,7
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1097.000000000000000000000000000000,1,4246,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.442470671388478120622522737904,51,7
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,994.000000000000000000000000000000,4967,4191,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.291196845226113054660999068801,55,7
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1018.000000000000000000000000000000,3270,3459,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.249581692516243736079672999040,80,7
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,994.000000000000000000000000000000,4875,951,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,70,7
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,965.000000000000000000000000000000,2556,1118,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,22,7
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1023.000000000000000000000000000000,2288,4811,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.718776573328003154372822791629,17,7
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,976.000000000000000000000000000000,1803,773,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.846738790075479585972573204344,86,7
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1058.000000000000000000000000000000,66,1991,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.470807607440232589457451695125,100,7
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1048.000000000000000000000000000000,4368,2402,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,7
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,972.000000000000000000000000000000,1,1112,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72,7
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1050.000000000000000000000000000000,2230,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.252361040176555528891100266264,11,7
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1154.000000000000000000000000000000,2880,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.494547916567711742796831231317,15,7
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1147.000000000000000000000000000000,4044,3820,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.136471712131764039144243838564,46,7
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1081.000000000000000000000000000000,4646,4325,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.271874393447181950111968262718,79,7
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,874,915,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.230167367660159077891179890685,72,7
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,953.000000000000000000000000000000,4778,1183,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,7
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1069.000000000000000000000000000000,472,3156,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.252309750488626916009593514900,31,7
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,996.000000000000000000000000000000,2646,4316,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.211712431203976231275376562735,46,7
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1028.000000000000000000000000000000,144,825,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.143224769194273321426535972023,23,7
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,978.000000000000000000000000000000,1,1872,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,7
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1036.000000000000000000000000000000,2164,1975,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.613044595536440972693981166231,46,7
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1082.000000000000000000000000000000,1231,900,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23,7
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1204.000000000000000000000000000000,3407,3598,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25,7
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1043.000000000000000000000000000000,3074,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.401823596602049692982916440087,1,7
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1013.000000000000000000000000000000,3753,976,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.803514004013748728283417221974,81,7
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1038.000000000000000000000000000000,2655,4578,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.207981255679930199242733124265,28,7
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1075.000000000000000000000000000000,1025,249,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.735821185627934526429783090862,10,7
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1033.000000000000000000000000000000,24,2326,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.642277667714292288536626074347,56,7
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1035.000000000000000000000000000000,317,4756,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.770749666289857193746115626709,19,7
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1038.000000000000000000000000000000,2251,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.566138160790295552615702945332,10,7
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,971.000000000000000000000000000000,2128,3490,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,7
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,997.000000000000000000000000000000,3484,4136,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.779181351486829876229478486493,55,7
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1144.000000000000000000000000000000,4646,4084,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.720067028976010825580544860713,34,7
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1004.000000000000000000000000000000,452,1633,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.422143705810240410514211362170,12,7
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,977.000000000000000000000000000000,2666,4508,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.907980077035804300500387853390,29,7
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1027.000000000000000000000000000000,4712,2213,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.250416686292441181826973206626,19,7
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1031.000000000000000000000000000000,4717,4961,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.215315950745703976743072871614,20,7
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,989.000000000000000000000000000000,4713,1057,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.252246198541870025877642547130,19,7
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,976.000000000000000000000000000000,3599,3853,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,7
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,970.000000000000000000000000000000,681,4684,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.838559697600608222600726548990,36,7
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,946.000000000000000000000000000000,3652,4051,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.907146753830339269697446979990,28,7
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,987.000000000000000000000000000000,3522,4634,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.861573538692493867685584518767,41,7
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,993.000000000000000000000000000000,230,1922,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.438099457231224953535075883337,2,7
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,939.000000000000000000000000000000,587,1984,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,86,7
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1087.000000000000000000000000000000,4273,4606,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.241084808258149901893929722974,20,7
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1002.000000000000000000000000000000,249,1797,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.390711484984712809076512485262,1,7
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,969.000000000000000000000000000000,308,503,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.869942596091766717769644401415,89,7
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,968.000000000000000000000000000000,4814,4276,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.820805965844087381810822989792,36,7
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,946.000000000000000000000000000000,2540,2168,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,7
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1006.000000000000000000000000000000,862,843,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.797612355664662042720181034383,84,7
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,980.000000000000000000000000000000,4900,4275,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.233787299147521610009903270111,17,7
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1001.000000000000000000000000000000,4661,2216,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.217340127581396563849480685349,19,7
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1016.000000000000000000000000000000,4775,3961,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.271784439169935443381120876438,19,7
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1044.000000000000000000000000000000,4064,4945,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.537623341318398728638783268252,36,7
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,956.000000000000000000000000000000,1445,1039,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.874202293452457590561266442819,90,7
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1065.000000000000000000000000000000,1,4521,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.835436314750923947336502806138,48,7
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1020.000000000000000000000000000000,3718,4983,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.254106855341738047115995868808,28,7
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1036.000000000000000000000000000000,19,4011,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.899104550102748922846274126641,28,7
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,944.000000000000000000000000000000,2130,4289,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,34,7
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1047.000000000000000000000000000000,4551,2393,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.282804048654492323766618255831,22,7
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,463,4704,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.113929029953054108958987455935,30,7
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1112.000000000000000000000000000000,2082,4193,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.878982182169767201074250806414,50,7
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1027.000000000000000000000000000000,533,4970,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.098906363100161362456042013491,8,7
420,420_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1627.000000000000000000000000000000,1588,1922,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.325668681323528275139977949948,71,7
421,421_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1453.000000000000000000000000000000,4387,4275,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.755741456339135808661922055762,19,7
422,422_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1427.000000000000000000000000000000,3486,163,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.745916489548981154200646415120,89,7
423,423_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1426.000000000000000000000000000000,72,3456,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.179434555236250153908983406836,39,7
424,424_0,FAILED,Sobol,SOBOL,,,1172,894,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.471109575634822252965250299894,80,7
425,425_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1530.000000000000000000000000000000,2771,2911,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.914318180115893497372780984733,29,7
426,426_0,FAILED,Sobol,SOBOL,,,4361,1398,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.581050184786319756646832956903,61,7
427,427_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1495.000000000000000000000000000000,2166,4985,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.024811657335609197533310421591,10,7
428,428_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1259.000000000000000000000000000000,2439,405,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.237939068455249064237833067637,83,7
429,429_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1478.000000000000000000000000000000,4005,3361,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.679675776474177872898962959880,32,7
430,430_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1208.000000000000000000000000000000,3124,2474,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.814245285475626578985952619405,52,7
431,431_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1326.000000000000000000000000000000,903,3870,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.259429125426337114923569515668,1,7
432,432_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1618.000000000000000000000000000000,344,1787,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.091058066140860316473037983087,68,7
433,433_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1560.000000000000000000000000000000,3131,4450,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.522539975836873060721643469151,16,7
434,434_0,FAILED,Sobol,SOBOL,,,4740,963,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.980563428955152582844334574474,98,7
435,435_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1185.000000000000000000000000000000,1318,2696,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.412600050767883641533728678041,48,7
436,436_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1303.000000000000000000000000000000,1470,1244,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.551321171930059805710300224746,24,7
437,437_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1220.000000000000000000000000000000,4901,2639,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.125687394367530930194831739755,73,7
438,438_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1209.000000000000000000000000000000,3282,1672,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.380954036101698867433640316449,42,7
439,439_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1169.000000000000000000000000000000,505,4633,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.950869964223355013110960953782,92,7
440,440_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1251.000000000000000000000000000000,752,2197,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.651870143381878763833015000273,27,7
441,441_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1383.000000000000000000000000000000,2962,3922,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.204283399695530526463116416380,76,7
442,442_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1167.000000000000000000000000000000,3853,514,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.292048795841634289960353498827,8,7
443,443_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1187.000000000000000000000000000000,2278,3183,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.844914309490472081876077936613,57,7
444,444_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1320.000000000000000000000000000000,2006,1435,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.884560946997255070911592156335,36,7
445,445_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1116.000000000000000000000000000000,4209,4724,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.439405503183603274308666186698,85,7
446,446_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1219.000000000000000000000000000000,2609,691,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.059379120709374545727943228712,5,7
447,447_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1635.000000000000000000000000000000,1022,3045,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.609771419560536709347786654689,54,7
448,448_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1621.000000000000000000000000000000,234,131,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.786472345206886580548655274470,14,7
449,449_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,1621.000000000000000000000000000000,3637,3713,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.358348310269415382123270319426,63,7
450,450_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1418.000000000000000000000000000000,4548,2120,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.145842654863372445106506347656,45,7
451,451_0,RUNNING,Sobol,SOBOL,,,1740,4146,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.718168914241716249691194207116,95,7
452,452_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1673.000000000000000000000000000000,1863,262,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.607232185224071185913885528862,43,7
453,453_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1202.000000000000000000000000000000,4659,3552,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.037309594733640552566278358881,94,7
454,454_0,FAILED,Sobol,SOBOL,,,3681,2019,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.468281925234943607883053573460,24,7
455,455_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1321.000000000000000000000000000000,268,4374,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.893937593437731270462620614126,75,7
456,456_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1512.000000000000000000000000000000,978,1304,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.688576529206708087826882547233,8,7
457,457_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1417.000000000000000000000000000000,2575,4883,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.135719581460580218656986062342,60,7
458,458_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1514.000000000000000000000000000000,4086,793,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.359715209361165744184063441935,28,7
459,459_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1624.000000000000000000000000000000,1894,2817,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.807278158873319662269807395205,78,7
460,460_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1427.000000000000000000000000000000,4457,961,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.069986004495878995079749529395,28,7
461,461_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1404.000000000000000000000000000000,1747,1186,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.048441867771888587335116227450,27,7
462,462_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1453.000000000000000000000000000000,1094,1391,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.109305166670935663408847915434,28,7
463,463_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1432.000000000000000000000000000000,3405,3217,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.025362185633784180283090137209,25,7
464,464_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1447.000000000000000000000000000000,1647,4806,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.958855659358409884163165770588,41,7
465,465_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1543.000000000000000000000000000000,3610,2567,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,7
466,466_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1442.000000000000000000000000000000,3748,3836,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.416616373250292937324701370017,11,7
467,467_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1398.000000000000000000000000000000,4452,4277,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.401507799091385120249242390855,39,7
468,468_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1503.000000000000000000000000000000,133,1076,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.042817541535670550212344664942,78,7
469,469_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1568.000000000000000000000000000000,2273,3956,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.947462813683415006060783980502,37,7
470,470_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1485.000000000000000000000000000000,4122,3488,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.006752363502516087710725312121,35,7
471,471_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1586.000000000000000000000000000000,1,1306,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68,7
472,472_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1536.000000000000000000000000000000,1,1933,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,7
473,473_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1510.000000000000000000000000000000,1,2247,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,7
474,474_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1207.000000000000000000000000000000,3975,938,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,98,7
475,475_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1345.000000000000000000000000000000,1,469,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,98,7
476,476_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1408.000000000000000000000000000000,2390,1107,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.948358347109406696340272446832,84,7
477,477_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1443.000000000000000000000000000000,4718,1240,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.815269183894354099173540362244,91,7
478,478_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1425.000000000000000000000000000000,4840,4638,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.212059763943713536216151283043,84,7
479,479_0,FAILED,BoTorch,BOTORCH_MODULAR,,,632,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,7
480,480_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1610.000000000000000000000000000000,4048,1777,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,7
481,481_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1625.000000000000000000000000000000,4413,1857,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,7
482,482_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1371.000000000000000000000000000000,821,4273,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.944193626618379799886326964042,41,7
483,483_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1502.000000000000000000000000000000,930,4206,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.101078521483746991416197147373,33,7
484,484_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1625.000000000000000000000000000000,4928,2575,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.025752352179802505405259438476,88,7
485,485_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1335.000000000000000000000000000000,1836,1575,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.931971586562438503165139991324,31,7
486,486_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1361.000000000000000000000000000000,1312,3232,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.042771026665060954408126292492,1,7
487,487_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1473.000000000000000000000000000000,2511,2460,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,2,7
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1519.000000000000000000000000000000,3977,1754,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.132873882933601694666947423684,79,7
489,489_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1333.000000000000000000000000000000,3620,4982,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.192888730291595672516891113446,11,7
490,490_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1302.000000000000000000000000000000,3599,1539,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,74,7
491,491_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1326.000000000000000000000000000000,345,4927,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.047973589514856244953033836964,56,7
492,492_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1536.000000000000000000000000000000,4336,3393,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.194553317718982127226823308774,79,7
493,493_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1415.000000000000000000000000000000,57,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.949356840836897974966746005521,37,7
494,494_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1546.000000000000000000000000000000,1095,3094,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.946591992936883563913852412952,93,7
495,495_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1250.000000000000000000000000000000,5,3648,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.187833689183787289067595338565,84,7
496,496_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1470.000000000000000000000000000000,4967,4523,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.953302553390457219073539363308,27,7
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1609.000000000000000000000000000000,3493,4836,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.617422230523022808057476140675,80,7
498,498_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1556.000000000000000000000000000000,1349,4286,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.951037140807207581616466995911,78,7
499,499_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1532.000000000000000000000000000000,731,1043,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.251313001743725727976652706275,33,7
500,500_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,60,7
501,501_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1452.000000000000000000000000000000,732,3277,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37,7
502,502_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1510.000000000000000000000000000000,590,2073,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31,7
503,503_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1506.000000000000000000000000000000,1680,4120,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.955494482059819572050685110298,42,7
504,504_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1493.000000000000000000000000000000,2457,2052,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,7
505,505_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1388.000000000000000000000000000000,2699,4398,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41,7
506,506_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1599.000000000000000000000000000000,3449,4411,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.917198057465324789738758681779,38,7
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1545.000000000000000000000000000000,1239,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.046949811015759769505795162559,38,7
508,508_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3019,4544,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.179293501888351886064398854614,3,7
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1551.000000000000000000000000000000,4755,4734,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.043071985273896898349654804861,100,7
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1600.000000000000000000000000000000,630,1506,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,3,7
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1593.000000000000000000000000000000,4421,897,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.950987589380841491504270379664,81,7
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1376.000000000000000000000000000000,634,983,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.419312585471856125174383578269,81,7
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1572.000000000000000000000000000000,2512,3562,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.081286345938277992928533421946,17,7
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1431.000000000000000000000000000000,894,4479,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.055799243473145070104646237041,3,7
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1607.000000000000000000000000000000,3868,4435,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,69,7
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1303.000000000000000000000000000000,2823,2215,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.220011412204359907418549369140,12,7
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1426.000000000000000000000000000000,4259,4832,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.390936159784224135371744068834,8,7
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1398.000000000000000000000000000000,3416,2352,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.053003909303386560758486467648,1,7
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1637.000000000000000000000000000000,803,1418,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.837999147023452128912879288691,90,7
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1035.000000000000000000000000000000,4574,1974,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.951595335359424199239697372832,80,7
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1449.000000000000000000000000000000,2332,2147,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.954708553670518877964923376567,82,7
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1417.000000000000000000000000000000,4189,1955,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.874406397298383986083081254037,76,7
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1449.000000000000000000000000000000,317,3763,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.019270312944318482295535943649,56,7
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1492.000000000000000000000000000000,2502,4538,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.904768060725696932067307898251,14,7
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1595.000000000000000000000000000000,1463,4744,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.091553336496971296498692538535,25,7
526,526_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1595.000000000000000000000000000000,3474,1016,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.900360750517853469787610265485,24,7
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1244.000000000000000000000000000000,3534,2314,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.496201769879980381094952690546,27,7
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1600.000000000000000000000000000000,4176,903,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.616152734779850219659635968128,21,7
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1522.000000000000000000000000000000,4159,2933,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.224801830172500632931686936899,26,7
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1468.000000000000000000000000000000,4334,1058,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.053225295447433720874563789494,78,7
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1748.000000000000000000000000000000,3605,2438,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46,7
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1502.000000000000000000000000000000,1204,4314,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.859811503762300199937840261555,79,7
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1478.000000000000000000000000000000,4948,4337,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.245215536859178795392466554404,33,7
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1433.000000000000000000000000000000,4168,3225,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.841722399194720360959820482094,33,7
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1468.000000000000000000000000000000,1882,3192,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.139908849766048254403827399983,100,7
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1520.000000000000000000000000000000,2499,4552,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.218516618953691538207451117160,1,7
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1047.000000000000000000000000000000,1463,1636,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.043293250535413135837714548870,25,7
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1410.000000000000000000000000000000,293,3009,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.054033064854349333039351677144,39,7
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1320.000000000000000000000000000000,67,841,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,36,7
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1394.000000000000000000000000000000,1753,1764,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.083651966747797262824448694118,31,7
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1380.000000000000000000000000000000,353,1671,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.894693506652221692831972177373,95,7
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1295.000000000000000000000000000000,109,1847,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.835300561275888586720839157351,81,7
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,1469.000000000000000000000000000000,4346,3285,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.277911255732566808696049065475,1,7
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1457.000000000000000000000000000000,3662,1605,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.950257400681613018100790668541,77,7
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1548.000000000000000000000000000000,3515,4978,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.909183726522643675949097996636,37,7
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1491.000000000000000000000000000000,3531,4933,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.876660286165113822320904546359,50,7
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1462.000000000000000000000000000000,1,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,7
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1240.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,98,7
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1465.000000000000000000000000000000,5000,1223,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,7
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1765.000000000000000000000000000000,1,3138,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,7
551,551_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2376,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,10,7
552,552_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3762,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,11,7
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1319.000000000000000000000000000000,1,1793,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,7
554,554_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29,7
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1602.000000000000000000000000000000,81,4498,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,83,7
556,556_0,FAILED,BoTorch,BOTORCH_MODULAR,,,619,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,13,7
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1471.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,76,7
558,558_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21,7
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1684.000000000000000000000000000000,4523,736,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,36,7
560,560_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1202,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,2,7
561,561_0,FAILED,BoTorch,BOTORCH_MODULAR,,,79,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12,7
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1484.000000000000000000000000000000,17,117,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,28,7
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1364.000000000000000000000000000000,1,3614,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,49,7
564,564_0,FAILED,BoTorch,BOTORCH_MODULAR,,,387,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17,7
565,565_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,7
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,16,7
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1613.000000000000000000000000000000,3332,308,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20,7
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1483.000000000000000000000000000000,1,3200,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,7
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1657.000000000000000000000000000000,1,846,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,7
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1501.000000000000000000000000000000,1,3504,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,40,7
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,10,7
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1444.000000000000000000000000000000,1,2449,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,7
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,14,7
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31,7
575,575_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12,7

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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
1744998704,1744999961,1257,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3124 feature_id 7 batch_size 2474 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8142452854756266 subsets 52,3124,2474,str\(\'H\'\),3,str\(\'stdev\'\),0.8142452854756266,52,7,0.56,1208,0,None,i7169,1208,540.19921875,521.8756669207318,-1,0.19440256962938873,4547410
1744998693,1744999974,1281,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2439 feature_id 7 batch_size 405 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.23793906845524906 subsets 83,2439,405,str\(\'H\'\),3,str\(\'tstat\'\),0.23793906845524906,83,7,0.56,1259,0,None,i7171,1259,530.390625,519.0364685058594,-1,0.19929980742286338,4547271
1744998704,1745000081,1377,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 903 feature_id 7 batch_size 3870 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.2594291254263371 subsets 1,903,3870,str\(\'KL\'\),2,str\(\'tstat\'\),0.2594291254263371,1,7,0.56,1326,0,None,i7169,1326,543.46875,525.4631655092593,-1,0.4981751714516786,4547480
1744998687,1745000132,1445,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3486 feature_id 7 batch_size 163 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7459164895489812 subsets 89,3486,163,str\(\'KL\'\),3,str\(\'tstat\'\),0.7459164895489812,89,7,0.56,1427,0,None,i7175,1427,538.37109375,523.514682112069,-1,0.25793851796600825,4546928
1744998690,1745000140,1450,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 72 feature_id 7 batch_size 3456 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.17943455523625015 subsets 39,72,3456,str\(\'H\'\),1,str\(\'stdev\'\),0.17943455523625015,39,7,0.56,1426,0,None,i7174,1426,533.85546875,523.8397629310344,-1,0.3593032406875717,4546973
1744998684,1745000155,1471,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4387 feature_id 7 batch_size 4275 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7557414563391358 subsets 19,4387,4275,str\(\'H\'\),2,str\(\'tstat\'\),0.7557414563391358,19,7,0.56,1453,0,None,i7177,1453,538.5625,524.0942778716217,-1,0.2428974336346305,4546893
1744998982,1745000180,1198,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1318 feature_id 7 batch_size 2696 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.41260005076788364 subsets 48,1318,2696,str\(\'H\'\),3,str\(\'tstat\'\),0.41260005076788364,48,7,0.56,1185,0,None,i7171,1185,534.02734375,522.214198088843,-1,0.21510612293747228,4547797
1744998707,1745000228,1521,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2166 feature_id 7 batch_size 4985 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.024811657335609198 subsets 10,2166,4985,str\(\'KL\'\),3,str\(\'stdev\'\),0.024811657335609198,10,7,0.56,1495,0,None,i7172,1495,533.12890625,523.2312140213816,-1,0.283238293957575,4547195
1744998719,1745000241,1522,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4005 feature_id 7 batch_size 3361 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6796757764741779 subsets 32,4005,3361,str\(\'KL\'\),1,str\(\'stdev\'\),0.6796757764741779,32,7,0.56,1478,0,None,i7170,1478,539.98828125,524.157890625,-1,0.31285866433913884,4547340
1744998694,1745000247,1553,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2771 feature_id 7 batch_size 2911 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9143181801158935 subsets 29,2771,2911,str\(\'KL\'\),3,str\(\'tstat\'\),0.9143181801158935,29,7,0.56,1530,0,None,i7173,1530,535.62109375,523.2551411290323,-1,0.28152770608352745,4547070
1744999001,1745000250,1249,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3282 feature_id 7 batch_size 1672 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.38095403610169887 subsets 42,3282,1672,str\(\'KL\'\),1,str\(\'tstat\'\),0.38095403610169887,42,7,0.56,1209,0,None,i7167,1209,527.3984375,514.7368203760162,-1,0.2688294622467816,4548027
1744998998,1745000266,1268,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4901 feature_id 7 batch_size 2639 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.12568739436753093 subsets 73,4901,2639,str\(\'H\'\),3,str\(\'tstat\'\),0.12568739436753093,73,7,0.56,1220,0,None,i7168,1220,518.71875,506.3985635080645,-1,0.2201290859174493,4547939
1744998659,1745000298,1639,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1588 feature_id 7 batch_size 1922 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.3256686813235283 subsets 71,1588,1922,str\(\'KL\'\),2,str\(\'stdev\'\),0.3256686813235283,71,7,0.56,1627,0,None,i7177,1627,529.99609375,520.0875473484848,-1,0.23002631766644382,4546862
1744999139,1745000322,1183,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 505 feature_id 7 batch_size 4633 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.950869964223355 subsets 92,505,4633,str\(\'H\'\),3,str\(\'stdev\'\),0.950869964223355,92,7,0.56,1169,0,None,i7169,1169,541.9921875,521.9414390756302,-1,0.19602853478175195,4548183
1744998998,1745000348,1350,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1470 feature_id 7 batch_size 1244 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5513211719300598 subsets 24,1470,1244,str\(\'KL\'\),1,str\(\'stdev\'\),0.5513211719300598,24,7,0.56,1303,0,None,i7168,1303,518.75390625,507.0473742951128,-1,0.23669821482324127,4547868
1744998740,1745000372,1632,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 344 feature_id 7 batch_size 1787 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.09105806614086032 subsets 68,344,1787,str\(\'KL\'\),2,str\(\'tstat\'\),0.09105806614086032,68,7,0.56,1618,0,None,i7175,1618,532.21484375,521.8117139862804,-1,0.17282377559988443,4547562
1744998821,1745000393,1572,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3131 feature_id 7 batch_size 4450 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5225399758368731 subsets 16,3131,4450,str\(\'H\'\),2,str\(\'stdev\'\),0.5225399758368731,16,7,0.56,1560,0,None,i7173,1560,541.4765625,522.676250988924,-1,0.22056307959008753,4547637
1745001097,1745002259,1162,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4209 feature_id 7 batch_size 4724 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4394055031836033 subsets 85,4209,4724,str\(\'KL\'\),3,str\(\'stdev\'\),0.4394055031836033,85,7,0.56,1116,0,None,i7164,1116,520.01171875,501.76778371710526,-1,0.2284329927067303,4550664
1745001096,1745002311,1215,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3853 feature_id 7 batch_size 514 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.2920487958416343 subsets 8,3853,514,str\(\'H\'\),2,str\(\'tstat\'\),0.2920487958416343,8,7,0.56,1167,0,None,i7164,1167,512.04296875,500.7092305672269,-1,0.23432636082403188,4550600
1745001097,1745002330,1233,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2278 feature_id 7 batch_size 3183 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.8449143094904721 subsets 57,2278,3183,str\(\'KL\'\),2,str\(\'stdev\'\),0.8449143094904721,57,7,0.56,1187,0,None,i7164,1187,517.73046875,499.7195247933884,-1,0.20778746640780174,4550617
1745001098,1745002362,1264,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2609 feature_id 7 batch_size 691 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.059379120709374546 subsets 5,2609,691,str\(\'H\'\),2,str\(\'stdev\'\),0.059379120709374546,5,7,0.56,1219,0,None,i7164,1219,511.38671875,501.36280871975805,-1,0.3600346227821291,4550693
1745001098,1745002390,1292,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 752 feature_id 7 batch_size 2197 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.6518701433818788 subsets 27,752,2197,str\(\'H\'\),3,str\(\'stdev\'\),0.6518701433818788,27,7,0.56,1251,0,None,i7164,1251,520.8515625,502.6525898129921,-1,0.2204433988837054,4550576
1745001097,1745002464,1367,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2006 feature_id 7 batch_size 1435 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8845609469972551 subsets 36,2006,1435,str\(\'H\'\),1,str\(\'tstat\'\),0.8845609469972551,36,7,0.56,1320,0,None,i7164,1320,511.359375,501.1790461753731,-1,0.37402759426064525,4550639
1745001096,1745002525,1429,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2962 feature_id 7 batch_size 3922 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.20428339969553053 subsets 76,2962,3922,str\(\'KL\'\),1,str\(\'tstat\'\),0.20428339969553053,76,7,0.56,1383,0,None,i7164,1383,511.03515625,500.37283909574467,-1,0.33663160465231545,4550586
1745001399,1745002644,1245,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4659 feature_id 7 batch_size 3552 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.03730959473364055 subsets 94,4659,3552,str\(\'KL\'\),2,str\(\'tstat\'\),0.03730959473364055,94,7,0.56,1202,0,None,i7167,1202,509.87890625,485.1912474593496,-1,0.15458395238883899,4551008
1745001221,1745002653,1432,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4548 feature_id 7 batch_size 2120 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.14584265486337245 subsets 45,4548,2120,str\(\'KL\'\),3,str\(\'stdev\'\),0.14584265486337245,45,7,0.56,1418,0,None,i7169,1418,540.33984375,522.9456651475695,-1,0.25884881667212684,4550844
1745001390,1745002739,1349,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 268 feature_id 7 batch_size 4374 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8939375934377313 subsets 75,268,4374,str\(\'KL\'\),3,str\(\'stdev\'\),0.8939375934377313,75,7,0.56,1321,0,None,i7166,1321,543.16015625,523.433447994403,-1,0.20622073716061756,4551137
1745001102,1745002753,1651,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1022 feature_id 7 batch_size 3045 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6097714195605367 subsets 54,1022,3045,str\(\'KL\'\),2,str\(\'tstat\'\),0.6097714195605367,54,7,0.56,1635,0,None,i7172,1635,538.22265625,523.7134318524096,-1,0.220865303596103,4550723
1745001132,1745002766,1634,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 234 feature_id 7 batch_size 131 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7864723452068866 subsets 14,234,131,str\(\'KL\'\),2,str\(\'tstat\'\),0.7864723452068866,14,7,0.56,1621,0,None,i7172,1621,538.81640625,523.016006097561,-1,0.266804561406478,4550754
1745001183,1745002822,1639,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3637 feature_id 7 batch_size 3713 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.3583483102694154 subsets 63,3637,3713,str\(\'H\'\),2,str\(\'stdev\'\),0.3583483102694154,63,7,0.55,1621,0,None,i7170,1621,535.86328125,521.1733517530488,-1,0.2199429159297438,4550800
1745001522,1745002952,1430,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2575 feature_id 7 batch_size 4883 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.13571958146058022 subsets 60,2575,4883,str\(\'H\'\),1,str\(\'tstat\'\),0.13571958146058022,60,7,0.56,1417,0,None,i7168,1417,536.3125,523.7518717447916,-1,0.24792764999075195,4551290
1745001433,1745002959,1526,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 978 feature_id 7 batch_size 1304 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.6885765292067081 subsets 8,978,1304,str\(\'KL\'\),3,str\(\'stdev\'\),0.6885765292067081,8,7,0.56,1512,0,None,i7168,1512,542.94921875,523.7685927353896,-1,0.22458507666214136,4551210
1745001344,1745003030,1686,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1863 feature_id 7 batch_size 262 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6072321852240712 subsets 43,1863,262,str\(\'H\'\),2,str\(\'stdev\'\),0.6072321852240712,43,7,0.56,1673,0,None,i7170,1673,526.91015625,517.7187270220588,-1,0.20979302491172036,4550943
1745001614,1745003144,1530,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4086 feature_id 7 batch_size 793 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.35971520936116574 subsets 28,4086,793,str\(\'KL\'\),3,str\(\'tstat\'\),0.35971520936116574,28,7,0.56,1514,0,None,i7173,1514,538.90625,521.3885957792207,-1,0.2137799639990764,4551365
1745001688,1745003337,1649,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1894 feature_id 7 batch_size 2817 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8072781588733197 subsets 78,1894,2817,str\(\'H\'\),1,str\(\'stdev\'\),0.8072781588733197,78,7,0.56,1624,0,None,i7166,1624,535.84375,523.8082149621212,-1,0.27243680798258224,4551455
1745003802,1745005239,1437,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4457 feature_id 7 batch_size 961 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.069986004495879 subsets 28,4457,961,str\(\'H\'\),2,str\(\'tstat\'\),0.069986004495879,28,7,0.56,1427,0,None,i7170,1427,533.1640625,522.3285290948276,-1,0.15102738028604898,4553328
1745004193,1745005611,1418,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1747 feature_id 7 batch_size 1186 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.04844186777188859 subsets 27,1747,1186,str\(\'H\'\),2,str\(\'tstat\'\),0.04844186777188859,27,7,0.56,1404,0,None,i7169,1404,533.8359375,520.9079709353147,-1,0.18110350446868415,4553684
1745004588,1745006053,1465,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1094 feature_id 7 batch_size 1391 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.10930516667093566 subsets 28,1094,1391,str\(\'H\'\),2,str\(\'tstat\'\),0.10930516667093566,28,7,0.56,1453,0,None,i7168,1453,536.51171875,522.3279930320946,-1,0.18591974622854662,4554095
1745004963,1745006410,1447,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3405 feature_id 7 batch_size 3217 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.02536218563378418 subsets 25,3405,3217,str\(\'H\'\),2,str\(\'stdev\'\),0.02536218563378418,25,7,0.56,1432,0,None,i7168,1432,541.59375,523.9636665239726,-1,0.2683422771490847,4554523
1745005365,1745006822,1457,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1647 feature_id 7 batch_size 4806 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.9588556593584099 subsets 41,1647,4806,str\(\'KL\'\),2,str\(\'stdev\'\),0.9588556593584099,41,7,0.56,1447,0,None,i7170,1447,535.28515625,522.211150085034,-1,0.20334840020744654,4554871
1745005903,1745007462,1559,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3610 feature_id 7 batch_size 2567 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 24,3610,2567,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,24,7,0.56,1543,0,None,i7170,1543,538.92578125,524.4528513136943,-1,0.2699815401577126,4555373
1745006385,1745007843,1458,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3748 feature_id 7 batch_size 3836 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.41661637325029294 subsets 11,3748,3836,str\(\'H\'\),3,str\(\'stdev\'\),0.41661637325029294,11,7,0.56,1442,0,None,i7170,1442,543.5703125,523.6663477891157,-1,0.20867963167355938,4555768
1745006833,1745008243,1410,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4452 feature_id 7 batch_size 4277 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.4015077990913851 subsets 39,4452,4277,str\(\'H\'\),2,str\(\'stdev\'\),0.4015077990913851,39,7,0.56,1398,0,None,i7169,1398,533.1640625,523.0519641285211,-1,0.1861361386168537,4556160
1745007363,1745008878,1515,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 133 feature_id 7 batch_size 1076 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.04281754153567055 subsets 78,133,1076,str\(\'H\'\),3,str\(\'stdev\'\),0.04281754153567055,78,7,0.56,1503,0,None,i7168,1503,536.6171875,523.9814644607843,-1,0.26814401820113853,4556634
1745007914,1745009497,1583,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2273 feature_id 7 batch_size 3956 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.947462813683415 subsets 37,2273,3956,str\(\'H\'\),2,str\(\'tstat\'\),0.947462813683415,37,7,0.56,1568,0,None,i7173,1568,539.5,523.6417305424528,-1,0.2582492042441922,4557148
1745008455,1745009959,1504,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4122 feature_id 7 batch_size 3488 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.006752363502516088 subsets 35,4122,3488,str\(\'KL\'\),2,str\(\'tstat\'\),0.006752363502516088,35,7,0.56,1485,0,None,i7185,1485,492.046875,402.19189776490066,-1,0.14758202661747266,4557703
1745008804,1745010411,1607,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 1306 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 68,1,1306,str\(\'H\'\),3,str\(\'tstat\'\),0.999,68,7,0.56,1586,0,None,i7185,1586,502.3984375,402.8591566381988,-1,0.26914014852496554,4558015
1745009084,1745010637,1553,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 1933 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,1933,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,7,0.56,1536,0,None,i7173,1536,535.82421875,523.9067007211538,-1,0.28275231775590215,4558256
1745009425,1745010954,1529,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 2247 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,2247,str\(\'H\'\),3,str\(\'stdev\'\),0.999,1,7,0.56,1510,0,None,i7173,1510,533.39453125,521.0657679738562,-1,0.17113253006222187,4558541
1745009843,1745011061,1218,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3975 feature_id 7 batch_size 938 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 98,3975,938,str\(\'H\'\),3,str\(\'stdev\'\),0.999,98,7,0.56,1207,0,None,i7168,1207,529.17578125,519.5347116361788,-1,0.17462744846778475,4558906
1745010244,1745011610,1366,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 469 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 98,1,469,str\(\'H\'\),3,str\(\'stdev\'\),0.999,98,7,0.56,1345,0,None,i7185,1345,447.9375,401.8707515967153,-1,0.16158708705622937,4559200
1745010724,1745012147,1423,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2390 feature_id 7 batch_size 1107 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.9483583471094067 subsets 84,2390,1107,str\(\'KL\'\),3,str\(\'stdev\'\),0.9483583471094067,84,7,0.56,1408,0,None,i7169,1408,538.828125,522.9464871066433,-1,0.1753104747213797,4559656
1745012145,1745012158,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 632 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 31,632,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,31,7,None,None,1,None,i7170,,,,,,4560965
1745011244,1745012700,1456,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4718 feature_id 7 batch_size 1240 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8152691838943541 subsets 91,4718,1240,str\(\'KL\'\),3,str\(\'stdev\'\),0.8152691838943541,91,7,0.56,1443,0,None,i7169,1443,539.6015625,521.3487191751701,-1,0.20594873555520363,4560132
1745011725,1745013164,1439,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4840 feature_id 7 batch_size 4638 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.21205976394371354 subsets 84,4840,4638,str\(\'KL\'\),3,str\(\'tstat\'\),0.21205976394371354,84,7,0.56,1425,0,None,i7170,1425,541.1640625,523.4159213362069,-1,0.20745381110516065,4560594
1745013766,1745015400,1634,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4048 feature_id 7 batch_size 1777 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 34,4048,1777,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,34,7,0.56,1610,0,None,i7185,1610,463.57421875,402.5008148006135,-1,0.29000811169232144,4562285
1745014206,1745015847,1641,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4413 feature_id 7 batch_size 1857 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,4413,1857,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,100,7,0.56,1625,0,None,i7173,1625,537.5,522.5260890151516,-1,0.26714547008526346,4562681
1745014706,1745016096,1390,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 821 feature_id 7 batch_size 4273 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.9441936266183798 subsets 41,821,4273,str\(\'KL\'\),3,str\(\'stdev\'\),0.9441936266183798,41,7,0.56,1371,0,None,i7185,1371,505.6015625,408.52846785071944,-1,0.11880909234877618,4563068
1745015226,1745016741,1515,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 930 feature_id 7 batch_size 4206 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.10107852148374699 subsets 33,930,4206,str\(\'KL\'\),3,str\(\'tstat\'\),0.10107852148374699,33,7,0.56,1502,0,None,i7180,1502,528.59765625,518.9591503267974,-1,0.1474538836389221,4563528
1745015766,1745017409,1643,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4928 feature_id 7 batch_size 2575 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.025752352179802505 subsets 88,4928,2575,str\(\'KL\'\),3,str\(\'stdev\'\),0.025752352179802505,88,7,0.56,1625,0,None,i7173,1625,535.2109375,521.4761837121212,-1,0.28016165357633754,4563986
1745016306,1745017654,1348,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1836 feature_id 7 batch_size 1575 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.9319715865624385 subsets 31,1836,1575,str\(\'KL\'\),2,str\(\'stdev\'\),0.9319715865624385,31,7,0.56,1335,0,None,i7169,1335,540.8515625,522.7462373621323,-1,0.2032166305408238,4564411
1745016846,1745018218,1372,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1312 feature_id 7 batch_size 3232 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.042771026665060954 subsets 1,1312,3232,str\(\'H\'\),3,str\(\'tstat\'\),0.042771026665060954,1,7,0.56,1361,0,None,i7170,1361,539.51171875,524.2397248641304,-1,0.17972898968932582,4564815
1745017347,1745018834,1487,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2511 feature_id 7 batch_size 2460 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 2,2511,2460,str\(\'H\'\),3,str\(\'tstat\'\),0.001,2,7,0.56,1473,0,None,i7173,1473,524.203125,517.4771875,-1,0.15464197939799396,4565209
1745017808,1745019341,1533,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3977 feature_id 7 batch_size 1754 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.1328738829336017 subsets 79,3977,1754,str\(\'KL\'\),3,str\(\'tstat\'\),0.1328738829336017,79,7,0.56,1519,0,None,i7173,1519,538.77734375,522.9161678165584,-1,0.20991995899424687,4565588
1745018306,1745019653,1347,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3620 feature_id 7 batch_size 4982 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.19288873029159567 subsets 11,3620,4982,str\(\'KL\'\),3,str\(\'tstat\'\),0.19288873029159567,11,7,0.56,1333,0,None,i7168,1333,535.2578125,523.6258329503677,-1,0.192727039740039,4566026
1745018867,1745020185,1318,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3599 feature_id 7 batch_size 1539 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 74,3599,1539,str\(\'H\'\),3,str\(\'tstat\'\),0.001,74,7,0.56,1302,0,None,i7168,1302,531.6484375,518.651873825188,-1,0.14084122238730368,4566492
1745019488,1745020832,1344,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 345 feature_id 7 batch_size 4927 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.047973589514856245 subsets 56,345,4927,str\(\'KL\'\),3,str\(\'tstat\'\),0.047973589514856245,56,7,0.56,1326,0,None,i7169,1326,538.6875,524.7407407407408,-1,0.14294953705326757,4566952
1745020127,1745021676,1549,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4336 feature_id 7 batch_size 3393 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.19455331771898213 subsets 79,4336,3393,str\(\'KL\'\),3,str\(\'tstat\'\),0.19455331771898213,79,7,0.56,1536,0,None,i7173,1536,530.5546875,521.1814653445513,-1,0.20919099469173755,4567423
1745020728,1745022160,1432,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 57 feature_id 7 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.949356840836898 subsets 37,57,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.949356840836898,37,7,0.56,1415,0,None,i7169,1415,529.76171875,520.7603624131945,-1,0.2417792048123733,4567894
1745021333,1745022897,1564,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1095 feature_id 7 batch_size 3094 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9465919929368836 subsets 93,1095,3094,str\(\'H\'\),3,str\(\'tstat\'\),0.9465919929368836,93,7,0.56,1546,0,None,i7170,1546,534.37890625,523.164858678344,-1,0.2805243223835561,4568391
1745021971,1745023234,1263,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5 feature_id 7 batch_size 3648 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.1878336891837873 subsets 84,5,3648,str\(\'H\'\),3,str\(\'tstat\'\),0.1878336891837873,84,7,0.56,1250,0,None,i7169,1250,534.8515625,519.3411048228346,-1,0.1940423186142183,4568885
1745022529,1745024014,1485,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4967 feature_id 7 batch_size 4523 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.9533025533904572 subsets 27,4967,4523,str\(\'H\'\),3,str\(\'stdev\'\),0.9533025533904572,27,7,0.56,1470,0,None,i7170,1470,539.6953125,521.3491243708054,-1,0.21324563195644106,4569275
1745023150,1745024770,1620,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3493 feature_id 7 batch_size 4836 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6174222305230228 subsets 80,3493,4836,str\(\'H\'\),3,str\(\'tstat\'\),0.6174222305230228,80,7,0.56,1609,0,None,i7173,1609,533.921875,522.6024491947853,-1,0.251387510411617,4569727
1745023870,1745025436,1566,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1349 feature_id 7 batch_size 4286 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9510371408072076 subsets 78,1349,4286,str\(\'KL\'\),3,str\(\'tstat\'\),0.9510371408072076,78,7,0.56,1556,0,None,i7170,1556,539.60546875,525.2588508702531,-1,0.2746104030338455,4570330
1745024470,1745026017,1547,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 731 feature_id 7 batch_size 1043 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.25131300174372573 subsets 33,731,1043,str\(\'KL\'\),2,str\(\'tstat\'\),0.25131300174372573,33,7,0.56,1532,0,None,i7170,1532,542.1640625,521.8289262820513,-1,0.22580243495837166,4570850
1745027151,1745028613,1462,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 732 feature_id 7 batch_size 3277 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 37,732,3277,str\(\'H\'\),2,str\(\'stdev\'\),0.999,37,7,0.56,1452,0,None,i7170,1452,539.296875,523.8058752111486,-1,0.19015450900083536,4572773
1745027691,1745029216,1525,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 590 feature_id 7 batch_size 2073 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 31,590,2073,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,31,7,0.56,1510,0,None,i7173,1510,533.82421875,523.9804432189543,-1,0.1829410264252582,4573192
1745028231,1745029750,1519,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1680 feature_id 7 batch_size 4120 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.9554944820598196 subsets 42,1680,4120,str\(\'H\'\),2,str\(\'stdev\'\),0.9554944820598196,42,7,0.56,1506,0,None,i7180,1506,537.625,519.8883016748366,-1,0.12451629047837225,4573599
1745028812,1745030318,1506,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2457 feature_id 7 batch_size 2052 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 30,2457,2052,str\(\'H\'\),2,str\(\'stdev\'\),0.999,30,7,0.56,1493,0,None,i7170,1493,532.2578125,520.6816149259869,-1,0.21581695379962065,4574025
1745029471,1745030868,1397,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2699 feature_id 7 batch_size 4398 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 41,2699,4398,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,41,7,0.56,1388,0,None,i7169,1388,545.42578125,527.1083222517731,-1,0.2445693368359081,4574520
1745030232,1745031847,1615,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3449 feature_id 7 batch_size 4411 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9171980574653248 subsets 38,3449,4411,str\(\'KL\'\),1,str\(\'stdev\'\),0.9171980574653248,38,7,0.56,1599,0,None,i7180,1599,536.27734375,523.6039737654321,-1,0.2346273759340233,4575065
1745030792,1745032347,1555,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1239 feature_id 7 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.04694981101575977 subsets 38,1239,5000,str\(\'H\'\),2,str\(\'stdev\'\),0.04694981101575977,38,7,0.56,1545,0,None,i7170,1545,539.375,525.2654508359873,-1,0.24782368493268261,4575450
1745031952,1745033515,1563,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4755 feature_id 7 batch_size 4734 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.0430719852738969 subsets 100,4755,4734,str\(\'KL\'\),3,str\(\'stdev\'\),0.0430719852738969,100,7,0.56,1551,0,None,i7180,1551,532.4921875,522.3611664012739,-1,0.26897694756171714,4576274
1745032652,1745034265,1613,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 630 feature_id 7 batch_size 1506 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 3,630,1506,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,3,7,0.56,1600,0,None,i7173,1600,528.8125,519.4179446373457,-1,0.26703183385900164,4576793
1745033293,1745034897,1604,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4421 feature_id 7 batch_size 897 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9509875893808415 subsets 81,4421,897,str\(\'KL\'\),3,str\(\'tstat\'\),0.9509875893808415,81,7,0.56,1593,0,None,i7173,1593,528.74609375,517.4772135416666,-1,0.27326369286304053,4577203
1745033842,1745035234,1392,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 634 feature_id 7 batch_size 983 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4193125854718561 subsets 81,634,983,str\(\'KL\'\),3,str\(\'stdev\'\),0.4193125854718561,81,7,0.56,1376,0,None,i7170,1376,536.94140625,522.0421595982143,-1,0.23172723437229886,4577557
1745034433,1745036019,1586,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2512 feature_id 7 batch_size 3562 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.08128634593827799 subsets 17,2512,3562,str\(\'KL\'\),3,str\(\'stdev\'\),0.08128634593827799,17,7,0.56,1572,0,None,i7185,1572,537.046875,523.9428955078125,-1,0.2583652582625021,4577953
1745035014,1745036459,1445,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 894 feature_id 7 batch_size 4479 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.05579924347314507 subsets 3,894,4479,str\(\'H\'\),3,str\(\'tstat\'\),0.05579924347314507,3,7,0.56,1431,0,None,i7173,1431,534.5390625,522.6199622844828,-1,0.1191221964190082,4578370
1745035596,1745037220,1624,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3868 feature_id 7 batch_size 4435 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 69,3868,4435,str\(\'H\'\),3,str\(\'stdev\'\),0.001,69,7,0.56,1607,0,None,i7180,1607,539.81640625,522.3339484279142,-1,0.25734978560229016,4578772
1745036254,1745037570,1316,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2823 feature_id 7 batch_size 2215 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.2200114122043599 subsets 12,2823,2215,str\(\'H\'\),3,str\(\'tstat\'\),0.2200114122043599,12,7,0.56,1303,0,None,i7170,1303,532.1484375,521.698396381579,-1,0.19815014730398053,4579203
1745036934,1745038375,1441,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4259 feature_id 7 batch_size 4832 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.39093615978422414 subsets 8,4259,4832,str\(\'H\'\),3,str\(\'tstat\'\),0.39093615978422414,8,7,0.56,1426,0,None,i7185,1426,530.8046875,521.723599137931,-1,0.18692433882454204,4579636
1745037540,1745038951,1411,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3416 feature_id 7 batch_size 2352 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.05300390930338656 subsets 1,3416,2352,str\(\'H\'\),3,str\(\'tstat\'\),0.05300390930338656,1,7,0.56,1398,0,None,i7185,1398,539.19140625,521.8392660651408,-1,0.19050267105576515,4579982
1745038194,1745039848,1654,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 803 feature_id 7 batch_size 1418 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8379991470234521 subsets 90,803,1418,str\(\'H\'\),3,str\(\'tstat\'\),0.8379991470234521,90,7,0.56,1637,0,None,i7180,1637,536.27734375,520.9895754894578,-1,0.2718577467870566,4580406
1745040555,1745041601,1046,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4574 feature_id 7 batch_size 1974 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.9515953353594242 subsets 80,4574,1974,str\(\'KL\'\),3,str\(\'stdev\'\),0.9515953353594242,80,7,0.56,1035,0,None,i7170,1035,538.5625,522.0744767099056,-1,0.18852249936835183,4581917
1745041155,1745042617,1462,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2332 feature_id 7 batch_size 2147 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.9547085536705189 subsets 82,2332,2147,str\(\'H\'\),3,str\(\'stdev\'\),0.9547085536705189,82,7,0.56,1449,0,None,i7185,1449,539.734375,524.6355229591836,-1,0.20504448132920536,4582259
1745041836,1745043263,1427,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4189 feature_id 7 batch_size 1955 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.874406397298384 subsets 76,4189,1955,str\(\'KL\'\),3,str\(\'stdev\'\),0.874406397298384,76,7,0.56,1417,0,None,i7173,1417,537.546875,521.8919270833334,-1,0.21979543061480825,4582682
1745042495,1745043954,1459,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 317 feature_id 7 batch_size 3763 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.019270312944318482 subsets 56,317,3763,str\(\'KL\'\),3,str\(\'stdev\'\),0.019270312944318482,56,7,0.56,1449,0,None,i7173,1449,536.640625,523.3814041241496,-1,0.2729445443126882,4583065
1745043075,1745044580,1505,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2502 feature_id 7 batch_size 4538 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9047680607256969 subsets 14,2502,4538,str\(\'KL\'\),3,str\(\'tstat\'\),0.9047680607256969,14,7,0.56,1492,0,None,i7173,1492,540.28125,498.84873560855266,-1,0.27978447801683026,4583422
1745043746,1745045353,1607,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1463 feature_id 7 batch_size 4744 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.0915533364969713 subsets 25,1463,4744,str\(\'KL\'\),3,str\(\'stdev\'\),0.0915533364969713,25,7,0.56,1595,0,None,i7180,1595,531.5078125,521.7484326774692,-1,0.25234012047857773,4583824
1745044423,1745046032,1609,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3474 feature_id 7 batch_size 1016 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.9003607505178535 subsets 24,3474,1016,str\(\'KL\'\),2,str\(\'tstat\'\),0.9003607505178535,24,7,0.56,1595,0,None,i7185,1595,513.73046875,443.697868441358,-1,0.256741710902187,4584331
1745045116,1745046384,1268,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3534 feature_id 7 batch_size 2314 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.4962017698799804 subsets 27,3534,2314,str\(\'H\'\),3,str\(\'tstat\'\),0.4962017698799804,27,7,0.56,1244,0,None,i7170,1244,417.90234375,403.59132012795277,-1,0.24337252977208684,4584839
1745045726,1745047343,1617,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4176 feature_id 7 batch_size 903 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6161527347798502 subsets 21,4176,903,str\(\'H\'\),2,str\(\'tstat\'\),0.6161527347798502,21,7,0.56,1600,0,None,i7180,1600,537.48046875,523.2503858024692,-1,0.23142621926230747,4585191
1745046356,1745047890,1534,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4159 feature_id 7 batch_size 2933 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.22480183017250063 subsets 26,4159,2933,str\(\'KL\'\),3,str\(\'tstat\'\),0.22480183017250063,26,7,0.56,1522,0,None,i7180,1522,528.57421875,515.9822696834416,-1,0.2091958302758338,4585558
1745047016,1745048509,1493,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4334 feature_id 7 batch_size 1058 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.05322529544743372 subsets 78,4334,1058,str\(\'KL\'\),3,str\(\'stdev\'\),0.05322529544743372,78,7,0.56,1468,0,None,i7173,1468,444.609375,402.01410444630875,-1,0.26745494746742327,4585929
1745047797,1745049557,1760,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3605 feature_id 7 batch_size 2438 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 46,3605,2438,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,46,7,0.56,1748,0,None,i7180,1748,537.71484375,524.7425185381356,-1,0.39198937138615647,4586350
1745048457,1745049982,1525,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1204 feature_id 7 batch_size 4314 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8598115037623002 subsets 79,1204,4314,str\(\'KL\'\),3,str\(\'tstat\'\),0.8598115037623002,79,7,0.56,1502,0,None,i7173,1502,452.140625,405.06104473039215,-1,0.2555436949423417,4586739
1745049138,1745050628,1490,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4948 feature_id 7 batch_size 4337 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.2452155368591788 subsets 33,4948,4337,str\(\'KL\'\),2,str\(\'tstat\'\),0.2452155368591788,33,7,0.56,1478,0,None,i7180,1478,538.41796875,523.8063802083333,-1,0.19399033608518365,4587121
1745049857,1745051311,1454,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4168 feature_id 7 batch_size 3225 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.8417223991947204 subsets 33,4168,3225,str\(\'H\'\),2,str\(\'stdev\'\),0.8417223991947204,33,7,0.56,1433,0,None,i7185,1433,500.328125,410.6095355308219,-1,0.1988331735575755,4587532
1745050517,1745052002,1485,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1882 feature_id 7 batch_size 3192 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.13990884976604825 subsets 100,1882,3192,str\(\'H\'\),3,str\(\'tstat\'\),0.13990884976604825,100,7,0.56,1468,0,None,i7180,1468,530.34375,517.5181417785235,-1,0.1890810093314684,4587900
1745051308,1745052842,1534,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2499 feature_id 7 batch_size 4552 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.21851661895369154 subsets 1,2499,4552,str\(\'KL\'\),3,str\(\'tstat\'\),0.21851661895369154,1,7,0.56,1520,0,None,i7173,1520,482.046875,417.99568790584414,-1,0.21461289335965503,4588325
1745052156,1745053222,1066,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1463 feature_id 7 batch_size 1636 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.043293250535413136 subsets 25,1463,1636,str\(\'H\'\),2,str\(\'tstat\'\),0.043293250535413136,25,7,0.56,1047,0,None,i7170,1047,500.1171875,403.2945750584112,-1,0.1558037284771174,4588801
1745052899,1745054325,1426,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 293 feature_id 7 batch_size 3009 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.05403306485434933 subsets 39,293,3009,str\(\'KL\'\),2,str\(\'tstat\'\),0.05403306485434933,39,7,0.56,1410,0,None,i7185,1410,503.9296875,404.5992406031468,-1,0.15277786172889055,4589176
1745053486,1745054829,1343,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 67 feature_id 7 batch_size 841 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 36,67,841,str\(\'H\'\),1,str\(\'tstat\'\),0.001,36,7,0.56,1320,0,None,i7173,1320,502.671875,402.44417560634326,-1,0.0992515724715033,4589496
1745055498,1745056907,1409,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1753 feature_id 7 batch_size 1764 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.08365196674779726 subsets 31,1753,1764,str\(\'H\'\),2,str\(\'tstat\'\),0.08365196674779726,31,7,0.56,1394,0,None,i7183,1394,539.3828125,522.5365316901408,-1,0.21111676605806812,4590591
1745056158,1745057555,1397,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 353 feature_id 7 batch_size 1671 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8946935066522217 subsets 95,353,1671,str\(\'KL\'\),3,str\(\'stdev\'\),0.8946935066522217,95,7,0.56,1380,0,None,i7183,1380,535.75,522.7419921875,-1,0.17736922465035704,4590957
1745056939,1745058246,1307,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 109 feature_id 7 batch_size 1847 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8353005612758886 subsets 81,109,1847,str\(\'KL\'\),3,str\(\'stdev\'\),0.8353005612758886,81,7,0.56,1295,0,None,i7183,1295,540.57421875,522.3538115530303,-1,0.192023462254035,4591366
1745057614,1745059097,1483,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4346 feature_id 7 batch_size 3285 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.2779112557325668 subsets 1,4346,3285,str\(\'KL\'\),3,str\(\'tstat\'\),0.2779112557325668,1,7,0.55,1469,0,None,i7183,1469,539.3671875,522.5740352348994,-1,0.2422446297816371,4591714
1745058259,1745059730,1471,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3662 feature_id 7 batch_size 1605 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.950257400681613 subsets 77,3662,1605,str\(\'H\'\),3,str\(\'stdev\'\),0.950257400681613,77,7,0.56,1457,0,None,i7180,1457,524.9296875,516.9907886402027,-1,0.1785055869129752,4592062
1745058980,1745060543,1563,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3515 feature_id 7 batch_size 4978 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.9091837265226437 subsets 37,3515,4978,str\(\'H\'\),2,str\(\'tstat\'\),0.9091837265226437,37,7,0.56,1548,0,None,i7180,1548,542.42578125,523.9207304936306,-1,0.2286796074956389,4592460
1745059647,1745061153,1506,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3531 feature_id 7 batch_size 4933 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.8766602861651138 subsets 50,3531,4933,str\(\'H\'\),2,str\(\'tstat\'\),0.8766602861651138,50,7,0.56,1491,0,None,i7183,1491,544.20703125,525.3508899006622,-1,0.23257587938119031,4592816
1745060862,1745062344,1482,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,5000,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,100,7,0.56,1462,0,None,i7173,1462,507.73828125,409.9047818791946,-1,0.27200160541391993,4593450
1745061700,1745062955,1255,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 98,1,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,98,7,0.56,1240,0,None,i7180,1240,538.33203125,522.4757564484127,-1,0.24782368493268261,4593935
1745062620,1745064100,1480,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 1223 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,1223,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,7,0.56,1465,0,None,i7183,1465,528.828125,517.9790530620805,-1,0.26223130774745196,4594418
1745064760,1745064774,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2376 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 10,2376,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,10,7,None,None,1,None,i7183,,,,,,4595536
1745063661,1745065440,1779,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 3138 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,3138,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,7,0.56,1765,0,None,i7185,1765,506.26953125,417.2455481843575,-1,0.4983274923507104,4594949
1745065674,1745065693,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3762 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 11,3762,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,11,7,None,None,1,None,i7185,,,,,,4596009
1745067681,1745067695,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 29,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,29,7,None,None,1,None,i7183,,,,,,4597036
1745066542,1745067877,1335,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 1793 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,1793,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,1,7,0.56,1319,0,None,i7185,1319,504.578125,405.3721140391791,-1,0.15389609055114778,4596471
1745069583,1745069596,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 619 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 13,619,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,13,7,None,None,1,None,i7180,,,,,,4597997
1745068703,1745070320,1617,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 81 feature_id 7 batch_size 4498 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 83,81,4498,str\(\'H\'\),2,str\(\'stdev\'\),0.999,83,7,0.56,1602,0,None,i7185,1602,494.07421875,405.7282744984568,-1,0.1794412724355991,4597558
1745071422,1745071435,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 21,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,21,7,None,None,1,None,i7183,,,,,,4598917
1745070442,1745071936,1494,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 76,1,5000,str\(\'H\'\),3,str\(\'stdev\'\),0.999,76,7,0.56,1471,0,None,i7185,1471,450.01953125,404.8361210151007,-1,0.1692454433686613,4598435
1745072303,1745074000,1697,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4523 feature_id 7 batch_size 736 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 36,4523,736,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,36,7,0.56,1684,0,None,i7185,1684,512.03125,416.87525127923976,-1,0.3116642750673657,4599377
1745074684,1745074703,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1202 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 2,1202,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,2,7,None,None,1,None,i7185,,,,,,4600543
1745075224,1745075237,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 79 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 12,79,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,12,7,None,None,1,None,i7185,,,,,,4600801
1745076864,1745076884,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 387 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 17,387,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,17,7,None,None,1,None,i7185,,,,,,4601580
1745075703,1745077218,1515,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 17 feature_id 7 batch_size 117 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 28,17,117,str\(\'H\'\),1,str\(\'tstat\'\),0.001,28,7,0.56,1484,0,None,i7185,1484,432.57421875,403.90399937913907,-1,0.16011102501084984,4601036
1745077535,1745077548,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,7,None,None,1,None,i7185,,,,,,4601901
1745076303,1745077681,1378,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 3614 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 49,1,3614,str\(\'H\'\),1,str\(\'stdev\'\),0.999,49,7,0.56,1364,0,None,i7183,1364,438.89453125,407.1650741906475,-1,0.2359233124718176,4601303
1745078134,1745078147,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 16,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,16,7,None,None,1,None,i7183,,,,,,4602195
1745078905,1745080529,1624,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3332 feature_id 7 batch_size 308 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 20,3332,308,str\(\'H\'\),1,str\(\'tstat\'\),0.999,20,7,0.56,1613,0,None,i7185,1613,529.12109375,518.1652772484756,-1,0.3496272369109805,4602554
1745079764,1745081260,1496,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 3200 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,3200,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,7,0.56,1483,0,None,i7185,1483,524.515625,512.3554428807947,-1,0.2978719803288439,4602946
1745081954,1745081967,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 10,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,10,7,None,None,1,None,i7185,,,,,,4603932
1745080481,1745082153,1672,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 846 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,846,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,7,0.56,1657,0,None,i7183,1657,542.27734375,525.7776925223214,-1,0.4987191746625064,4603282
1745081216,1745082734,1518,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 3504 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 40,1,3504,str\(\'H\'\),3,str\(\'tstat\'\),0.999,40,7,0.56,1501,0,None,i7185,1501,535.4921875,519.885587993421,-1,0.2922820451135818,4603602
1745083118,1745083131,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 14,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,14,7,None,None,1,None,i7183,,,,,,4604436
1745083732,1745083746,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 31,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,31,7,None,None,1,None,i7183,,,,,,4604701
1745082492,1745083955,1463,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 2449 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1,2449,str\(\'H\'\),3,str\(\'tstat\'\),0.001,100,7,0.56,1444,0,None,i7185,1444,529.38671875,521.4162946428571,-1,0.18651694086443318,4604160
1745084234,1745084247,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 7 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 12,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,12,7,None,None,1,None,i7183,,,,,,4604837

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⚠ Job 4547020 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547020/4547020_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547020/4547020_0_log.out
----------------------------------------
submitit INFO (2025-04-18 19:51:20,915) - Starting with JobEnvironment(job_id=4547020, hostname=i7174, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 19:51:20,916) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547020/4547020_submitted.pkl
slurmstepd: error: *** JOB 4547020 ON i7174 CANCELLED AT 2025-04-18T20:21:15 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547020/4547020_0_log.err not found


⚠ Job 4547129 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547129/4547129_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547129/4547129_0_log.out
----------------------------------------
submitit INFO (2025-04-18 19:51:26,070) - Starting with JobEnvironment(job_id=4547129, hostname=i7172, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 19:51:26,073) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547129/4547129_submitted.pkl
slurmstepd: error: *** JOB 4547129 ON i7172 CANCELLED AT 2025-04-18T20:21:15 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547129/4547129_0_log.err not found


⚠ Job 4547713 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547713/4547713_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547713/4547713_0_log.out
----------------------------------------
submitit INFO (2025-04-18 19:55:15,948) - Starting with JobEnvironment(job_id=4547713, hostname=i7174, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 19:55:15,951) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547713/4547713_submitted.pkl
slurmstepd: error: *** JOB 4547713 ON i7174 CANCELLED AT 2025-04-18T20:25:15 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547713/4547713_0_log.err not found

Job SlurmJob<job_id=4551070, 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 4551070 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4551070/4551070_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_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4551070/4551070_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4551070/4551070_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4551070/4551070_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560965/4560965_0_log.err not found


⚠ Job 4572332 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572332/4572332_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572332/4572332_0_log.out
----------------------------------------
submitit INFO (2025-04-19 03:36:17,040) - Starting with JobEnvironment(job_id=4572332, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 03:36:17,047) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572332/4572332_submitted.pkl
slurmstepd: error: *** JOB 4572332 ON i7173 CANCELLED AT 2025-04-19T04:06:32 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572332/4572332_0_log.err not found


⚠ Job 4575889 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575889/4575889_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575889/4575889_0_log.out
----------------------------------------
submitit INFO (2025-04-19 04:56:49,013) - Starting with JobEnvironment(job_id=4575889, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 04:56:49,016) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575889/4575889_submitted.pkl
slurmstepd: error: *** JOB 4575889 ON i7180 CANCELLED AT 2025-04-19T05:27:05 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575889/4575889_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4595536/4595536_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4596009/4596009_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597036/4597036_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597997/4597997_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4598917/4598917_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4600543/4600543_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4600801/4600801_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601580/4601580_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601901/4601901_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4602195/4602195_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4603932/4603932_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4604436/4604436_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4604701/4604701_0_log.err not found

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Download »oo_errors.txt« as file

Arguments Overview:

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timestamp,ram_usage_mb,cpu_usage_percent
1744998430,641.4140625,20.7
1744998430,641.5546875,21.1
1744998430,641.5546875,20.5
1744998430,641.5546875,11.1
1744998430,641.5546875,22.6
1744998430,641.5546875,22.0
1744998430,641.5546875,21.7
1744999129,703.5078125,31.5
1744999129,703.5078125,32.0
1744999129,703.5078125,34.2
1744999129,703.5078125,36.0
1745001682,742.19140625,24.8
1745001682,742.19140625,21.7
1745001682,742.19140625,18.0
1745001682,742.19140625,17.6
1745012154,870.29296875,20.8
1745012154,870.29296875,21.4
1745012154,870.29296875,21.1
1745012154,870.29296875,20.8
1745024488,900.8125,22.0
1745024488,900.8125,20.3
1745024488,900.8125,19.6
1745024488,900.8125,17.2
1745038207,900.39453125,22.0
1745038207,900.39453125,21.4
1745038207,900.39453125,20.4
1745038207,900.39453125,25.6
1745053481,919.9375,20.7
1745053481,919.9375,21.0
1745053481,919.9375,20.5
1745053481,919.9375,19.2
1745072305,929.41015625,20.5
1745072305,929.41015625,20.9
1745072305,929.41015625,20.3
1745072305,929.41015625,16.7

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Correlation Heatmap Explanation

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

How It Works

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

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

Color Scale: Yellow to Purple (Viridis)

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

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

What the Heatmap Shows

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

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

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h3'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M6 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h3'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1M8 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h3M3 8h2'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M9 6h2m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%234d6185' d='M5 6h1m5 0h1M4 7h3m3 0h3M5 8h3m1 0h3M6 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23a4b8d3' 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14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M0 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M0 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M1 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M2 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M3 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M4 16h1'/%3E%3Cpath stroke='%237da0d4' d='M5 16h1m4 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M6 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M7 16h3'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			.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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			.title-bar-controls button[aria-label=Help]{
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stroke='%23b5381a' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%23b8391a' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%23ba3a1b' d='M11 4h1m-8 7h2'/%3E%3Cpath stroke='%23bc3b1c' d='M12 4h1m-9 8h1'/%3E%3Cpath stroke='%23bd3c1c' d='M13 4h1m-1 1h1m-2 1h1m-7 6h1m-3 1h2'/%3E%3Cpath stroke='%23be3d1c' d='M14 4h3m-1 1h1m-1 1h1M4 14h1m-1 1h1m-1 1h2'/%3E%3Cpath stroke='%23bf3d1c' d='M17 4h3m-3 1h3m-2 1h2m-1 1h1M4 17h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%235b1d0d' d='M1 5h1'/%3E%3Cpath stroke='%239c3016' d='M3 5h1'/%3E%3Cpath stroke='%23a43217' d='M4 5h1'/%3E%3Cpath stroke='%23b8553e' d='M5 5h1'/%3E%3Cpath stroke='%23d59485' d='M6 5h1M5 6h1'/%3E%3Cpath stroke='%23b33619' d='M7 5h1'/%3E%3Cpath stroke='%23b53719' d='M8 5h1'/%3E%3Cpath stroke='%23b8381a' d='M9 5h1M6 8h1'/%3E%3Cpath stroke='%23b9391b' d='M10 5h1'/%3E%3Cpath stroke='%23ba391b' d='M11 5h1M6 9h1m-2 1h1'/%3E%3Cpath stroke='%23bc3b1b' d='M12 5h1m-2 1h1m-6 5h1m-2 1h1'/%3E%3Cpath stroke='%23dc9887' d='M14 5h1'/%3E%3Cpath stroke='%23c85d42' d='M15 5h1M5 15h1'/%3E%3Cpath stroke='%23611f0e' d='M1 6h1'/%3E%3Cpath stroke='%23a23217' d='M3 6h1'/%3E%3Cpath stroke='%23d79585' d='M6 6h1'/%3E%3Cpath stroke='%23d89585' d='M7 6h1'/%3E%3Cpath stroke='%23b8371a' d='M8 6h1'/%3E%3Cpath stroke='%23ba391a' d='M9 6h1'/%3E%3Cpath stroke='%23bb3a1b' d='M10 6h1m-5 4h1'/%3E%3Cpath stroke='%23dd9887' d='M13 6h3m-4 1h1m-2 1h1M9 9h1m-2 2h1m-2 1h1m-2 1h1m-2 1h2'/%3E%3Cpath stroke='%23c03e1d' d='M17 6h1m-2 1h3m0 1h1m-1 1h1M7 16h1m-2 1h2m0 1h1'/%3E%3Cpath stroke='%2365200e' d='M1 7h1'/%3E%3Cpath stroke='%23902d15' d='M2 7h1'/%3E%3Cpath stroke='%23a73418' d='M3 7h1'/%3E%3Cpath stroke='%23af3518' d='M4 7h1'/%3E%3Cpath stroke='%23b43619' d='M5 7h1'/%3E%3Cpath stroke='%23d99585' d='M6 7h1'/%3E%3Cpath stroke='%23da9686' d='M7 7h1'/%3E%3Cpath stroke='%23db9686' d='M8 7h1M7 8h1'/%3E%3Cpath stroke='%23bc3a1b' d='M9 7h1M7 9h1'/%3E%3Cpath stroke='%23bd3b1b' d='M10 7h1m-4 3h1'/%3E%3Cpath stroke='%23be3c1c' d='M11 7h1m-2 1h1m-3 2h1m-2 1h1'/%3E%3Cpath stroke='%23de9987' d='M13 7h2m-3 1h2m-4 1h2m-3 1h1m-2 2h1m-2 2h1'/%3E%3Cpath stroke='%23c03f1d' d='M15 7h1m-9 8h1'/%3E%3Cpath stroke='%236a220f' d='M1 8h1'/%3E%3Cpath stroke='%23952f15' d='M2 8h1'/%3E%3Cpath stroke='%23ac3518' d='M3 8h1'/%3E%3Cpath stroke='%23b63719' d='M5 8h1'/%3E%3Cpath stroke='%23dc9786' d='M8 8h2M8 9h1'/%3E%3Cpath stroke='%23c2401d' d='M14 8h1m2 0h1m1 3h1M8 14h1m-1 2h1m-1 1h1m0 1h1m1 1h1'/%3E%3Cpath stroke='%23c2401e' d='M15 8h2m1 1h1M8 15h1'/%3E%3Cpath stroke='%23c13f1d' d='M18 8h1m0 2h1M9 19h2'/%3E%3Cpath stroke='%23702410' d='M1 9h1'/%3E%3Cpath stroke='%239b3016' d='M2 9h1'/%3E%3Cpath stroke='%23b03619' d='M3 9h1'/%3E%3Cpath stroke='%23b9381a' d='M5 9h1'/%3E%3Cpath stroke='%23df9a88' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23c4421e' d='M13 9h1m2 0h2m0 1h1M9 13h1m9 1h1m-1 1h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h3'/%3E%3Cpath stroke='%23c5431e' d='M14 9h1'/%3E%3Cpath stroke='%23c5431f' d='M15 9h1m-4 1h1m5 1h1m-9 1h1m-2 2h1m-1 1h1m0 2h1m0 1h1m6 0h1'/%3E%3Cpath stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
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				align-items: center
			}
			
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			}
			
			[class^=field-row]+[class^=field-row]{
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			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
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				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
				padding: 0 12px 3px
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				box-shadow: inset 0 2px #ffc73c
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				margin-right: -1px;
				border-bottom: 1px solid transparent;
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				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
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			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
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				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
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			@keyframes sliding{
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					transform: translateX(-30px)
				}
			
				to{
					transform: translateX(100%)
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			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
				border-radius: 4px;
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				background-color: #fff;
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				-webkit-box-shadow: inset 0 0 1px 0 #686868;
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				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
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				animation: sliding 2s linear 0s infinite;
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			progress:not([value])::after {
				box-sizing: border-box;
				content: "";
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				top: 1px;
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				padding: 1px 2px;
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
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		</style>
	</head>
	<body>
		<script>
			var log = console.log;
			var theme = 'light';

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

			var result_names = [
			    "ACCURACY",
			    "RUNTIME"
			];
			var result_min_max = [
			    "max",
			    "min"
			];
			var tab_results_headers_json = [
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			    "arm_name",
			    "trial_status",
			    "generation_method",
			    "generation_node",
			    "ACCURACY",
			    "RUNTIME",
			    "recent_samples_size",
			    "batch_size",
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			    "detect_batch",
			    "statistic",
			    "significance",
			    "subsets",
			    "feature_id"
			];
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3853 feature_id 7 batch_size 514 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.2920487958416343 subsets 8",
			        3853,
			        514,
			        "str\\(\\'H\\'\\)",
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			        0.2920487958416343,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2278 feature_id 7 batch_size 3183 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.8449143094904721 subsets 57",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2609 feature_id 7 batch_size 691 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.059379120709374546 subsets 5",
			        2609,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 752 feature_id 7 batch_size 2197 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.6518701433818788 subsets 27",
			        752,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2006 feature_id 7 batch_size 1435 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.8845609469972551 subsets 36",
			        2006,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2962 feature_id 7 batch_size 3922 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.20428339969553053 subsets 76",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4659 feature_id 7 batch_size 3552 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.03730959473364055 subsets 94",
			        4659,
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			        "str\\(\\'KL\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4548 feature_id 7 batch_size 2120 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.14584265486337245 subsets 45",
			        4548,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 268 feature_id 7 batch_size 4374 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.8939375934377313 subsets 75",
			        268,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1022 feature_id 7 batch_size 3045 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.6097714195605367 subsets 54",
			        1022,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 234 feature_id 7 batch_size 131 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.7864723452068866 subsets 14",
			        234,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3637 feature_id 7 batch_size 3713 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.3583483102694154 subsets 63",
			        3637,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2575 feature_id 7 batch_size 4883 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.13571958146058022 subsets 60",
			        2575,
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 978 feature_id 7 batch_size 1304 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.6885765292067081 subsets 8",
			        978,
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			        "str\\(\\'KL\\'\\)",
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			        0.6885765292067081,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1863 feature_id 7 batch_size 262 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.6072321852240712 subsets 43",
			        1863,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4086 feature_id 7 batch_size 793 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.35971520936116574 subsets 28",
			        4086,
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			        "str\\(\\'KL\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1894 feature_id 7 batch_size 2817 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.8072781588733197 subsets 78",
			        1894,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4457 feature_id 7 batch_size 961 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.069986004495879 subsets 28",
			        4457,
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1747 feature_id 7 batch_size 1186 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.04844186777188859 subsets 27",
			        1747,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1094 feature_id 7 batch_size 1391 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.10930516667093566 subsets 28",
			        1094,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3405 feature_id 7 batch_size 3217 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.02536218563378418 subsets 25",
			        3405,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1647 feature_id 7 batch_size 4806 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.9588556593584099 subsets 41",
			        1647,
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3610 feature_id 7 batch_size 2567 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 24",
			        3610,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3748 feature_id 7 batch_size 3836 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.41661637325029294 subsets 11",
			        3748,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4452 feature_id 7 batch_size 4277 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.4015077990913851 subsets 39",
			        4452,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 133 feature_id 7 batch_size 1076 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.04281754153567055 subsets 78",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2273 feature_id 7 batch_size 3956 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.947462813683415 subsets 37",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4122 feature_id 7 batch_size 3488 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.006752363502516088 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 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4718 feature_id 7 batch_size 1240 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.8152691838943541 subsets 91",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4048 feature_id 7 batch_size 1777 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 34",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4413 feature_id 7 batch_size 1857 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 821 feature_id 7 batch_size 4273 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.9441936266183798 subsets 41",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 930 feature_id 7 batch_size 4206 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.10107852148374699 subsets 33",
			        930,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4928 feature_id 7 batch_size 2575 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.025752352179802505 subsets 88",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1836 feature_id 7 batch_size 1575 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.9319715865624385 subsets 31",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1312 feature_id 7 batch_size 3232 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.042771026665060954 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2511 feature_id 7 batch_size 2460 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 2",
			        2511,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3977 feature_id 7 batch_size 1754 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.1328738829336017 subsets 79",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3620 feature_id 7 batch_size 4982 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.19288873029159567 subsets 11",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3599 feature_id 7 batch_size 1539 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 74",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4336 feature_id 7 batch_size 3393 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.19455331771898213 subsets 79",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 57 feature_id 7 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.949356840836898 subsets 37",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1095 feature_id 7 batch_size 3094 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.9465919929368836 subsets 93",
			        1095,
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5 feature_id 7 batch_size 3648 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.1878336891837873 subsets 84",
			        5,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4967 feature_id 7 batch_size 4523 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.9533025533904572 subsets 27",
			        4967,
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3493 feature_id 7 batch_size 4836 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.6174222305230228 subsets 80",
			        3493,
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1349 feature_id 7 batch_size 4286 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.9510371408072076 subsets 78",
			        1349,
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			        "str\\(\\'KL\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 731 feature_id 7 batch_size 1043 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.25131300174372573 subsets 33",
			        731,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 732 feature_id 7 batch_size 3277 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 37",
			        732,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 590 feature_id 7 batch_size 2073 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 31",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1680 feature_id 7 batch_size 4120 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.9554944820598196 subsets 42",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2457 feature_id 7 batch_size 2052 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 30",
			        2457,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2699 feature_id 7 batch_size 4398 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 41",
			        2699,
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			        "str\\(\\'KL\\'\\)",
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			        0.999,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3449 feature_id 7 batch_size 4411 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.9171980574653248 subsets 38",
			        3449,
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			        "str\\(\\'KL\\'\\)",
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			        0.9171980574653248,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1239 feature_id 7 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.04694981101575977 subsets 38",
			        1239,
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			        0.04694981101575977,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4755 feature_id 7 batch_size 4734 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.0430719852738969 subsets 100",
			        4755,
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			        "str\\(\\'KL\\'\\)",
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			        0.0430719852738969,
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 630 feature_id 7 batch_size 1506 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 3",
			        630,
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			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        3,
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4421 feature_id 7 batch_size 897 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.9509875893808415 subsets 81",
			        4421,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 634 feature_id 7 batch_size 983 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.4193125854718561 subsets 81",
			        634,
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			        "str\\(\\'KL\\'\\)",
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			        0.4193125854718561,
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2512 feature_id 7 batch_size 3562 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.08128634593827799 subsets 17",
			        2512,
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			        "str\\(\\'KL\\'\\)",
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			        0.08128634593827799,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 894 feature_id 7 batch_size 4479 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.05579924347314507 subsets 3",
			        894,
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3868 feature_id 7 batch_size 4435 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 69",
			        3868,
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			        "str\\(\\'H\\'\\)",
			        3,
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			        0.001,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2823 feature_id 7 batch_size 2215 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.2200114122043599 subsets 12",
			        2823,
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4259 feature_id 7 batch_size 4832 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.39093615978422414 subsets 8",
			        4259,
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3416 feature_id 7 batch_size 2352 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.05300390930338656 subsets 1",
			        3416,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 803 feature_id 7 batch_size 1418 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.8379991470234521 subsets 90",
			        803,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4574 feature_id 7 batch_size 1974 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.9515953353594242 subsets 80",
			        4574,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2332 feature_id 7 batch_size 2147 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.9547085536705189 subsets 82",
			        2332,
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4189 feature_id 7 batch_size 1955 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.874406397298384 subsets 76",
			        4189,
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			        "str\\(\\'KL\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 317 feature_id 7 batch_size 3763 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.019270312944318482 subsets 56",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2502 feature_id 7 batch_size 4538 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.9047680607256969 subsets 14",
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			        "str\\(\\'KL\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1463 feature_id 7 batch_size 4744 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.0915533364969713 subsets 25",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3474 feature_id 7 batch_size 1016 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.9003607505178535 subsets 24",
			        3474,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3534 feature_id 7 batch_size 2314 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.4962017698799804 subsets 27",
			        3534,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4176 feature_id 7 batch_size 903 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.6161527347798502 subsets 21",
			        4176,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4159 feature_id 7 batch_size 2933 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.22480183017250063 subsets 26",
			        4159,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4334 feature_id 7 batch_size 1058 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.05322529544743372 subsets 78",
			        4334,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3605 feature_id 7 batch_size 2438 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 46",
			        3605,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1204 feature_id 7 batch_size 4314 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.8598115037623002 subsets 79",
			        1204,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4948 feature_id 7 batch_size 4337 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.2452155368591788 subsets 33",
			        4948,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4168 feature_id 7 batch_size 3225 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.8417223991947204 subsets 33",
			        4168,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1882 feature_id 7 batch_size 3192 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.13990884976604825 subsets 100",
			        1882,
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			        "str\\(\\'H\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2499 feature_id 7 batch_size 4552 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.21851661895369154 subsets 1",
			        2499,
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			        "str\\(\\'KL\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1463 feature_id 7 batch_size 1636 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.043293250535413136 subsets 25",
			        1463,
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			        "str\\(\\'H\\'\\)",
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			        0.043293250535413136,
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 293 feature_id 7 batch_size 3009 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.05403306485434933 subsets 39",
			        293,
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			        "str\\(\\'KL\\'\\)",
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			        0.05403306485434933,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 67 feature_id 7 batch_size 841 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 36",
			        67,
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			        "str\\(\\'H\\'\\)",
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			        0.001,
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1753 feature_id 7 batch_size 1764 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.08365196674779726 subsets 31",
			        1753,
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			        "str\\(\\'H\\'\\)",
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			        0.08365196674779726,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 353 feature_id 7 batch_size 1671 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.8946935066522217 subsets 95",
			        353,
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			        "str\\(\\'KL\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 109 feature_id 7 batch_size 1847 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.8353005612758886 subsets 81",
			        109,
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			        "str\\(\\'KL\\'\\)",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4346 feature_id 7 batch_size 3285 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.2779112557325668 subsets 1",
			        4346,
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			        "str\\(\\'KL\\'\\)",
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3662 feature_id 7 batch_size 1605 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.950257400681613 subsets 77",
			        3662,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        1563,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3515 feature_id 7 batch_size 4978 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.9091837265226437 subsets 37",
			        3515,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        1506,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3531 feature_id 7 batch_size 4933 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.8766602861651138 subsets 50",
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			    [
			        1745072305,
			        929.41015625,
			        16.7
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout, no_height = 0) {
				layout["width"] = get_graph_width();
				if (!no_height) {
					layout["height"] = get_graph_height();
				}
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true,
					ellipsis: false
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_node";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',
						jitter: 0.5,
						pointpos: 0
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: get_axis_title_data("Generation Method")
					},
					boxmode: 'group'
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
					let text = el.textContent.toLowerCase();
					let color = text.includes("manual") ? "green" :
						text.includes("sobol") ? "orange" :
						text.includes("saasbo") ? "pink" :
						text.includes("uniform") ? "lightblue" :
						text.includes("legacy_gpei") ? "sienna" :
						text.includes("bo_mixed") ? "aqua" :
						text.includes("randomforest") ? "darkseagreen" :
						text.includes("external_generator") ? "purple" :
						text.includes("botorch") ? "yellow" : "";
					if (color !== "") {
						el.style.backgroundColor = color;
					}
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" :
						el.textContent.includes("ABANDONED") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			function demo_mode(nr_sec = 3) {
				let i = 0;
				let tabs = $('menu[role="tablist"] > button');
			
				setInterval(() => {
					tabs.attr('aria-selected', 'false').removeClass('active');
			
					let tab = tabs.eq(i % tabs.length);
					tab.attr('aria-selected', 'true').addClass('active');
			
					tab.trigger('click');
			
					i++;
				}, nr_sec * 1000);
			}
			
			function resizePlotlyCharts() {
				const plotlyElements = document.querySelectorAll('.js-plotly-plot');
			
				if (plotlyElements.length) {
					const windowWidth = window.innerWidth;
					const windowHeight = window.innerHeight;
			
					const newWidth = windowWidth * 0.9;
					const newHeight = windowHeight * 0.9;
			
					plotlyElements.forEach(function(element, index) {
						const layout = {
							width: newWidth,
							height: newHeight,
							plot_bgcolor: 'rgba(0, 0, 0, 0)',
							paper_bgcolor: 'rgba(0, 0, 0, 0)',
						};
			
						Plotly.relayout(element, layout)
					});
				}
			
				make_text_in_parallel_plot_nicer();
				apply_theme_based_on_system_preferences();
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			
			window.addEventListener('resize', function() {
				resizePlotlyCharts();
			});
			
			"use strict";
			
			function get_row_by_index(idx) {
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
			
				var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
			
				if(trial_index_col_idx == -1) {
					error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
			
					return null;
				}
			
				for (var i = 0; i < tab_results_csv_json.length; i++) {
					var row = tab_results_csv_json[i];
					var trial_index = row[trial_index_col_idx];
			
					if (trial_index == idx) {
						return row;
					}
				}
			
				return null;
			}
			
			function load_pareto_graph_from_idxs () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				if(pareto_idxs === null) {
					var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
					$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
					return;	
				}
			
				var table = get_pareto_table_data_from_idx();
			
				var html_tables = createParetoTablesFromData(table);
			
				$("#pareto_from_idxs_table").html(html_tables);
			
				renderParetoFrontPlots(table);
			
				apply_theme_based_on_system_preferences();
			}
			
			function renderParetoFrontPlots(data) {
				try {
					let container = document.getElementById("pareto_front_idxs_plot_container");
					if (!container) {
						console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
						return;
					}
			
					container.innerHTML = "";
			
					if(data === undefined || data === null) {
						var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
						$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
						return;
					}
			
					Object.keys(data).forEach((key, idx) => {
						if (!key.startsWith("Pareto front for ")) return;
			
						let label = key.replace("Pareto front for ", "");
						let [xKey, yKey] = label.split("/");
			
						if (!xKey || !yKey) {
							console.warn("Could not extract two objectives from key:", key);
							return;
						}
			
						let entries = data[key];
						let x = [];
						let y = [];
						let hoverTexts = [];
			
						entries.forEach((entry) => {
							let results = entry.results || {};
							let values = entry.values || {};
			
							let xVal = (results[xKey] || [])[0];
							let yVal = (results[yKey] || [])[0];
			
							if (xVal === undefined || yVal === undefined) {
								console.warn("Missing values for", xKey, yKey, "in", entry);
								return;
							}
			
							x.push(xVal);
							y.push(yVal);
			
							let hoverInfo = [];
			
							if ("trial_index" in values) {
								hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
							}
			
							Object.keys(values)
								.filter(k => k !== "trial_index")
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
								});
			
							Object.keys(results)
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
								});
			
							hoverTexts.push(hoverInfo.join("<br>"));
						});
			
						let wrapper = document.createElement("div");
						wrapper.style.marginBottom = "30px";
			
						let titleEl = document.createElement("h3");
						titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
						wrapper.appendChild(titleEl);
			
						let divId = `pareto_plot_${idx}`;
						let plotDiv = document.createElement("div");
						plotDiv.id = divId;
						plotDiv.style.width = "100%";
						plotDiv.style.height = "400px";
			
						wrapper.appendChild(plotDiv);
						container.appendChild(wrapper);
			
						let trace = {
							x: x,
							y: y,
							text: hoverTexts,
							hoverinfo: "text",
							mode: "markers",
							type: "scatter",
							marker: {
								size: 8,
								color: 'rgb(31, 119, 180)',
								line: {
									width: 1,
									color: 'black'
								}
							},
							name: label
						};
			
						let layout = {
							xaxis: { title: { text: xKey } },
							yaxis: { title: { text: yKey } },
							margin: { t: 10, l: 60, r: 20, b: 50 },
							hovermode: "closest",
							showlegend: false
						};
			
						Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
					});
				} catch (e) {
					console.error("Error while rendering Pareto front plots:", e);
				}
			}
			
			function createParetoTablesFromData(data) {
				try {
					var container = document.createElement("div");
			
					var parsedData;
					try {
						parsedData = typeof data === "string" ? JSON.parse(data) : data;
					} catch (e) {
						console.error("JSON parsing failed:", e);
						return container;
					}
			
					for (var sectionTitle in parsedData) {
						if (!parsedData.hasOwnProperty(sectionTitle)) {
							continue;
						}
			
						var sectionData = parsedData[sectionTitle];
						var heading = document.createElement("h2");
						heading.textContent = sectionTitle;
						container.appendChild(heading);
			
						var table = document.createElement("table");
						table.style.borderCollapse = "collapse";
						table.style.marginBottom = "2em";
						table.style.width = "100%";
			
						var thead = document.createElement("thead");
						var headerRow = document.createElement("tr");
			
						var allValueKeys = new Set();
						var allResultKeys = new Set();
			
						sectionData.forEach(entry => {
							var values = entry.values || {};
							var results = entry.results || {};
			
							Object.keys(values).forEach(key => {
								allValueKeys.add(key);
							});
			
							Object.keys(results).forEach(key => {
								allResultKeys.add(key);
							});
						});
			
						var sortedValueKeys = Array.from(allValueKeys).sort();
						var sortedResultKeys = Array.from(allResultKeys).sort();
			
						if (sortedValueKeys.includes("trial_index")) {
							sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
							sortedValueKeys.unshift("trial_index");
						}
			
						var allColumns = [...sortedValueKeys, ...sortedResultKeys];
			
						allColumns.forEach(col => {
							var th = document.createElement("th");
							th.textContent = col;
							th.style.border = "1px solid black";
							th.style.padding = "4px";
							headerRow.appendChild(th);
						});
			
						thead.appendChild(headerRow);
						table.appendChild(thead);
			
						var tbody = document.createElement("tbody");
			
						sectionData.forEach(entry => {
							var tr = document.createElement("tr");
			
							allColumns.forEach(col => {
								var td = document.createElement("td");
								td.style.border = "1px solid black";
								td.style.padding = "4px";
			
								var value = null;
			
								if (col in entry.values) {
									value = entry.values[col];
								} else if (col in entry.results) {
									value = entry.results[col];
								}
			
								if (Array.isArray(value)) {
									td.textContent = value.join(", ");
								} else {
									td.textContent = value !== null && value !== undefined ? value : "";
								}
			
								tr.appendChild(td);
							});
			
							tbody.appendChild(tr);
						});
			
						table.appendChild(tbody);
						container.appendChild(table);
					}
			
					return container;
				} catch (err) {
					console.error("Unexpected error:", err);
					var errorDiv = document.createElement("div");
					errorDiv.textContent = "Error generating tables.";
					return errorDiv;
				}
			}
			
			function get_pareto_table_data_from_idx () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				var x_keys = Object.keys(pareto_idxs);
			
				var tables = {};
			
				for (var i = 0; i < x_keys.length; i++) {
					var x_key = x_keys[i];
					var y_keys = Object.keys(pareto_idxs[x_key]);
			
					for (var j = 0; j < y_keys.length; j++) {
						var y_key = y_keys[j];
			
						var indices = pareto_idxs[x_key][y_key];
			
						for (var k = 0; k < indices.length; k++) {
							var idx = indices[k];
							var row = get_row_by_index(idx);
			
							if(row === null) {
								error(`Error getting the row for index ${idx}`);
								return;
							}
			
							var row_dict = {
								"results": {},
								"values": {},
							};
			
							for (var l = 0; l < tab_results_headers_json.length; l++) {
								var header = tab_results_headers_json[l];
			
								if (!special_col_names.includes(header) || header == "trial_index") {
									var val = row[l];
			
									if (result_names.includes(header)) {
										if (!Object.keys(row_dict["results"]).includes(header)) {
											row_dict["results"][header] = [];
										}
			
										row_dict["results"][header].push(val);
									} else {
										if (!Object.keys(row_dict["values"]).includes(header)) {
											row_dict["values"][header] = [];
										}
										row_dict["values"][header].push(val);
									}
								}
								
							}
			
							var table_key = `Pareto front for ${x_key}/${y_key}`;
			
							if(!Object.keys(tables).includes(table_key)) {
								tables[table_key] = [];
							}
			
							tables[table_key].push(row_dict);
						}
			
					}
				}
			
				return tables;
			}
			
			function getMinMaxByResultName(resultName) {
				try {
					if (typeof resultName !== "string") {
						error("Parameter resultName must be a string");
						return;
					}
			
					if (!Array.isArray(result_names)) {
						error("Global variable result_names is not an array or undefined");
						return;
					}
					if (!Array.isArray(result_min_max)) {
						error("Global variable result_min_max is not an array or undefined");
						return;
					}
			
					if (result_names.length !== result_min_max.length) {
						error("Global arrays result_names and result_min_max must have the same length");
						return;
					}
			
					var index = result_names.indexOf(resultName);
					if (index === -1) {
						error("Result name '" + resultName + "' not found in result_names");
						return;
					}
			
					var minMaxValue = result_min_max[index];
			
					if (minMaxValue !== "min" && minMaxValue !== "max") {
						error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
						return;
					}
			
					return minMaxValue;
			
				} catch (e) {
					error("Unexpected error: " + e.message);
				}
			}
			

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

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;Overview</h1>
			<h2>Experiment overview:         </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value </th></tr></thead><tbody><tr><td> Max. nr. evaluations</td><td>899   </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>399   </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>7</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>41</td>
			<td>533</td>
			<td>2</td>
			<td>576</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_0,0.560000000000000053290705182008,1351.000000000000000000000000000000,3536,3602,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.704548403024673475236738795502,90,7
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1005.000000000000000000000000000000,2128,2304,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.389842905689030905236336366215,32,7
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1077.000000000000000000000000000000,226,3754,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.063467171752825374264617153131,70,7
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,974.000000000000000000000000000000,4110,268,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.779719414504244867636373328423,10,7
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1006.000000000000000000000000000000,4467,4755,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.534261846724897626614847467863,54,7
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,993.000000000000000000000000000000,1199,1229,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.371587751280516409568832614241,14,7
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,990.000000000000000000000000000000,1763,2719,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.175329983042553066985291820856,88,7
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1063.000000000000000000000000000000,2574,1381,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.981238711336627655867914654664,46,7
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1068.000000000000000000000000000000,2899,4182,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.873518247351050325377741501143,59,7
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1098.000000000000000000000000000000,1515,539,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.032333265341818330507184242606,25,7
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1328.000000000000000000000000000000,839,3405,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.483216181589290472153663813515,76,7
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1056.000000000000000000000000000000,4747,1950,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.673354427477344863461894419743,41,7
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1073.000000000000000000000000000000,3863,3069,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.887867335252463862893534951581,98,7
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1128.000000000000000000000000000000,552,1574,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.206525867700576792884703536402,33,7
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1066.000000000000000000000000000000,2410,4479,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.277790818249806781281563416997,69,7
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1637.000000000000000000000000000000,3178,797,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.565397652952000506765273257770,2,7
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,992.000000000000000000000000000000,3358,4667,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.241259749945253121339305835136,28,7
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,2967.000000000000000000000000000000,2228,693,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.914808090079575753073015675909,93,7
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1090.000000000000000000000000000000,419,2943,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.600858566189184761796582279203,7,7
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1266.000000000000000000000000000000,3995,1781,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.305466218205168837940277626330,73,7
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1196.000000000000000000000000000000,4889,3242,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.005156594995409250273277201870,17,7
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1114.000000000000000000000000000000,698,2040,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.838533221315592491862389579182,51,7
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1177.000000000000000000000000000000,1346,4330,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.645930178748443717395844032580,49,7
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1011.000000000000000000000000000000,3070,316,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.447991191307082758932267552154,85,7
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1026.000000000000000000000000000000,2706,2511,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.336614157602190988693990902902,22,7
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1221.000000000000000000000000000000,1630,1506,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.507073766328394404112600568624,62,7
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1005.000000000000000000000000000000,1018,4861,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.946017539275810115384501841618,38,7
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1455.000000000000000000000000000000,4647,1042,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.147901938399299992532576197846,80,7
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1098.000000000000000000000000000000,4281,3976,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.416779834859073161634768212025,36,7
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1047.000000000000000000000000000000,56,119,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.739286083042621666727711726708,94,7
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,968.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36,7
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1794.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,7
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1765.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.399034142678908076984356512185,1,7
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1059.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.853108784753710991388686579739,35,7
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1736.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,53,7
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1034.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.580104582557747772142420217278,23,7
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,956.000000000000000000000000000000,1,4877,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,89,7
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1064.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,7
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1568.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,4,7
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1871.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,26,7
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1934.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,7
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,995.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,9,7
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1132.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.571944396749773487087509238336,100,7
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,948.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,7
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1768.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,7
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1092.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32,7
46,46_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39,7
47,47_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,7
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1042.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,7
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1897.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,7
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1806.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,7
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1037.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,7
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,971.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,7
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1051.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,65,7
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1046.000000000000000000000000000000,4907,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.455600477901717981765727927268,89,7
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1751.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22,7
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,986.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.910215393607307854395571666828,1,7
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1253.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,7
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1814.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,7
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,991.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,57,7
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1056.000000000000000000000000000000,3526,1486,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,7
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1604.000000000000000000000000000000,1,1555,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,7
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1725.000000000000000000000000000000,4613,2721,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,7
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,2301.000000000000000000000000000000,5000,1519,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,7
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1501.000000000000000000000000000000,3113,2558,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,7
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1624.000000000000000000000000000000,434,1076,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,7
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1061.000000000000000000000000000000,2185,4700,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,7
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,2736,2508,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,7
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,963.000000000000000000000000000000,1,1032,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,7
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1000.000000000000000000000000000000,1,2744,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,7
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1069.000000000000000000000000000000,583,4730,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,7
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,2800.000000000000000000000000000000,5000,1047,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,7
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1658.000000000000000000000000000000,1,1508,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,7
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1610.000000000000000000000000000000,267,1535,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,7
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1768.000000000000000000000000000000,5000,2204,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,7
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1670.000000000000000000000000000000,4466,3429,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,7
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,3503.000000000000000000000000000000,2319,372,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,7
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1730.000000000000000000000000000000,5000,3486,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,7
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1009.000000000000000000000000000000,4995,1101,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,7
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1082.000000000000000000000000000000,1,4105,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,7
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,2064.000000000000000000000000000000,1,2642,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,7
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1112.000000000000000000000000000000,1,2418,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,7
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1457.000000000000000000000000000000,5000,4070,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,7
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1081.000000000000000000000000000000,1,3453,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,7
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,986.000000000000000000000000000000,5000,2257,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,7
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1087.000000000000000000000000000000,5000,1034,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,7
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,930.000000000000000000000000000000,1,1446,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,7
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1120.000000000000000000000000000000,5000,4713,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,7
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1596.000000000000000000000000000000,563,2413,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,7
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1462.000000000000000000000000000000,1,1408,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,7
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,974.000000000000000000000000000000,4885,1139,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,82,7
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1062.000000000000000000000000000000,1,1164,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,83,7
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,976.000000000000000000000000000000,1,1192,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,80,7
93,93_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,35,7
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1055.000000000000000000000000000000,1,4106,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,82,7
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,991.000000000000000000000000000000,5000,3782,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,70,7
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1333.000000000000000000000000000000,4404,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,81,7
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,978.000000000000000000000000000000,5000,3412,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36,7
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1052.000000000000000000000000000000,5000,3791,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,7
99,99_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,7
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1057.000000000000000000000000000000,5000,1291,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,82,7
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,924.000000000000000000000000000000,5000,4012,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,85,7
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1307.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,95,7
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1131.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73,7
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1076.000000000000000000000000000000,5000,1764,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,7
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1206.000000000000000000000000000000,5000,3297,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,51,7
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1064.000000000000000000000000000000,1,1709,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19,7
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,960.000000000000000000000000000000,1,1290,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,81,7
108,108_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,37,7
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,956.000000000000000000000000000000,5000,1533,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,86,7
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1152.000000000000000000000000000000,5000,2858,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,42,7
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,966.000000000000000000000000000000,5000,3537,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,56,7
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1122.000000000000000000000000000000,5000,4074,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,97,7
113,113_0,FAILED,BoTorch,GenerationStep_1,,,982,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35,7
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1095.000000000000000000000000000000,5000,911,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,80,7
115,115_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33,7
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,970.000000000000000000000000000000,5000,3703,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24,7
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1018.000000000000000000000000000000,1,2955,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61,7
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1344.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,79,7
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1020.000000000000000000000000000000,5000,444,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,46,7
120,120_0,FAILED,BoTorch,GenerationStep_1,,,3516,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31,7
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1126.000000000000000000000000000000,1,935,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38,7
122,122_0,FAILED,BoTorch,GenerationStep_1,,,2390,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33,7
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,985.000000000000000000000000000000,4750,1191,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,26,7
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1013.000000000000000000000000000000,1,970,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,53,7
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,947.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,25,7
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1056.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14,7
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1083.000000000000000000000000000000,5000,1136,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,24,7
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1058.000000000000000000000000000000,1,1563,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,7
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1086.000000000000000000000000000000,5000,4379,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,13,7
130,130_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28,7
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1085.000000000000000000000000000000,5000,1358,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17,7
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1056.000000000000000000000000000000,1,4448,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,66,7
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1062.000000000000000000000000000000,1,1156,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,27,7
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1086.000000000000000000000000000000,1,1490,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,7
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1056.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,69,7
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1057.000000000000000000000000000000,1,2283,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,78,7
137,137_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,7
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,962.000000000000000000000000000000,5000,1543,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44,7
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,975.000000000000000000000000000000,1,3322,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,7
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,1,1908,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,64,7
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,945.000000000000000000000000000000,1,1546,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37,7
142,142_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,27,7
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,971.000000000000000000000000000000,4867,4260,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,66,7
144,144_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,30,7
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,965.000000000000000000000000000000,5000,1059,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,7
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,982.000000000000000000000000000000,5000,4492,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,6,7
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1245.000000000000000000000000000000,5000,1188,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,7
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1208.000000000000000000000000000000,134,1167,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,3,7
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,954.000000000000000000000000000000,1,4259,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21,7
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1057.000000000000000000000000000000,4819,3012,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,86,7
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1067.000000000000000000000000000000,5000,4453,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,85,7
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,972.000000000000000000000000000000,1,3467,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,7
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,934.000000000000000000000000000000,4684,4209,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46,7
154,154_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24,7
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,970.000000000000000000000000000000,3744,1626,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,87,7
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1068.000000000000000000000000000000,2959,1603,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,13,7
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,969.000000000000000000000000000000,521,4330,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,29,7
158,158_0,FAILED,BoTorch,GenerationStep_1,,,81,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,7
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1031.000000000000000000000000000000,1,4168,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,52,7
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1003.000000000000000000000000000000,5000,2652,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33,7
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1109.000000000000000000000000000000,1459,2991,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48,7
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,938.000000000000000000000000000000,1,3810,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40,7
163,163_0,FAILED,BoTorch,GenerationStep_1,,,964,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,7
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1141.000000000000000000000000000000,2747,1001,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.273191096258952603736958053560,47,7
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1047.000000000000000000000000000000,421,2341,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,22,7
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1127.000000000000000000000000000000,222,4494,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49,7
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1063.000000000000000000000000000000,321,4527,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,7
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,999.000000000000000000000000000000,4261,2582,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,8,7
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,960.000000000000000000000000000000,485,2951,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,22,7
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1071.000000000000000000000000000000,1671,2798,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,28,7
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1240.000000000000000000000000000000,1,1381,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53,7
172,172_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,42,7
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1093.000000000000000000000000000000,4023,3374,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,61,7
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,987.000000000000000000000000000000,4505,1091,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,86,7
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1042.000000000000000000000000000000,4897,3902,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,65,7
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,974.000000000000000000000000000000,4609,2746,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45,7
177,177_0,FAILED,BoTorch,GenerationStep_1,,,4197,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31,7
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1059.000000000000000000000000000000,1368,2017,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,11,7
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,971.000000000000000000000000000000,3148,4530,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,10,7
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1041.000000000000000000000000000000,578,2555,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.606444003476460991031160574494,1,7
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1119.000000000000000000000000000000,529,2673,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.804789243435966139550430398231,41,7
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1034.000000000000000000000000000000,4265,712,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.624464598844000517985364240303,92,7
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1048.000000000000000000000000000000,3314,1773,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.349575967069590765046172009534,82,7
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1027.000000000000000000000000000000,1,3726,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.513499788801917711467126537173,31,7
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1048.000000000000000000000000000000,3165,1332,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.421758411247591114001664891475,82,7
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1038.000000000000000000000000000000,4027,1764,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.564716414693595569751494167576,1,7
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,994.000000000000000000000000000000,1,2573,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.844898621641632541212629803340,1,7
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,1229,1336,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.560107844227654139146466150123,95,7
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1000.000000000000000000000000000000,132,653,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.642914067093029006905169353558,94,7
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1030.000000000000000000000000000000,1,2654,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.505985885461856188527463018545,27,7
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,996.000000000000000000000000000000,1785,3820,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.668706406428236643790796733811,32,7
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1001.000000000000000000000000000000,1681,3837,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41,7
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,993.000000000000000000000000000000,4261,1851,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.411136512926933872513757250999,100,7
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1085.000000000000000000000000000000,4028,2997,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.822009495940612011644077483652,38,7
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,4681,2177,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.361146403191446030422895319134,96,7
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1001.000000000000000000000000000000,3851,839,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.580269226235398671853715768520,90,7
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1042.000000000000000000000000000000,289,2660,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.378959425421726003868627685733,25,7
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1080.000000000000000000000000000000,702,3606,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.560243362996938221165521554212,19,7
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1061.000000000000000000000000000000,4345,708,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.583215759678406220345436850039,28,7
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1091.000000000000000000000000000000,1,2689,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41,7
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1117.000000000000000000000000000000,5000,3945,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.391076773021034995725386806953,20,7
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1024.000000000000000000000000000000,5000,1980,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,4,7
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1060.000000000000000000000000000000,4812,1748,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.380970500512225584976988557173,91,7
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1047.000000000000000000000000000000,2538,1156,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.562532110393843653994849773881,93,7
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1004.000000000000000000000000000000,3470,2280,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.357490262831368699192324811520,100,7
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1039.000000000000000000000000000000,724,429,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.508730590243051561394338477839,25,7
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1034.000000000000000000000000000000,2379,1901,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.409935098834295075231892724332,91,7
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,969.000000000000000000000000000000,5000,2218,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.078839221023338526550539029358,1,7
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,999.000000000000000000000000000000,5000,2456,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,7
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,969.000000000000000000000000000000,1443,684,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72,7
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1039.000000000000000000000000000000,2510,3760,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,72,7
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,960.000000000000000000000000000000,3116,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,11,7
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1006.000000000000000000000000000000,4502,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17,7
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,1123,3104,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.322126210611104524250691838461,83,7
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,922.000000000000000000000000000000,1720,4456,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,55,7
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,967.000000000000000000000000000000,3678,4596,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,7
217,217_0,FAILED,BoTorch,GenerationStep_1,,,1655,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44,7
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1032.000000000000000000000000000000,4198,4403,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,72,7
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,953.000000000000000000000000000000,3863,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19,7
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1079.000000000000000000000000000000,3568,3512,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19,7
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1058.000000000000000000000000000000,2872,3369,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74,7
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,957.000000000000000000000000000000,1041,676,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,75,7
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1209.000000000000000000000000000000,1512,456,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34,7
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1099.000000000000000000000000000000,1835,4365,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,58,7
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1061.000000000000000000000000000000,4285,2147,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,71,7
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,976.000000000000000000000000000000,1788,70,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20,7
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,958.000000000000000000000000000000,1884,4379,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,97,7
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1061.000000000000000000000000000000,2232,1909,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55,7
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1101.000000000000000000000000000000,841,3362,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55,7
230,230_0,FAILED,BoTorch,GenerationStep_1,,,3079,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,7
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1042.000000000000000000000000000000,4593,406,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.032266318691050968614497662657,39,7
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1006.000000000000000000000000000000,3494,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,7,7
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1067.000000000000000000000000000000,4666,1274,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,57,7
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1037.000000000000000000000000000000,1168,3568,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11,7
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1057.000000000000000000000000000000,1459,2914,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,66,7
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1069.000000000000000000000000000000,4992,2132,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73,7
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1210.000000000000000000000000000000,4357,3833,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73,7
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1056.000000000000000000000000000000,259,798,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73,7
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,995.000000000000000000000000000000,1297,1641,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,65,7
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1057.000000000000000000000000000000,5000,2141,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45,7
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1014.000000000000000000000000000000,5000,2207,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,34,7
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1063.000000000000000000000000000000,5000,2075,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,54,7
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1007.000000000000000000000000000000,4876,2258,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15,7
244,244_0,FAILED,BoTorch,GenerationStep_1,,,2773,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.408190849622859563972099294915,22,7
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,995.000000000000000000000000000000,4764,2060,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.669944001729757765417616610648,58,7
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1034.000000000000000000000000000000,5000,2180,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36,7
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,974.000000000000000000000000000000,150,4668,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72,7
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,921.000000000000000000000000000000,4386,4488,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,79,7
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,946.000000000000000000000000000000,1515,3569,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,84,7
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,963.000000000000000000000000000000,392,431,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,86,7
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,945.000000000000000000000000000000,2418,1083,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,65,7
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1035.000000000000000000000000000000,5000,2148,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.639202238361630925567169470014,44,7
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,997.000000000000000000000000000000,5000,4610,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,69,7
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1033.000000000000000000000000000000,5000,2146,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,57,7
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1050.000000000000000000000000000000,272,4796,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,70,7
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1095.000000000000000000000000000000,5000,2206,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,61,7
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1073.000000000000000000000000000000,5000,2222,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41,7
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1193.000000000000000000000000000000,2442,111,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.432155429567718907257756200124,24,7
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,952.000000000000000000000000000000,3252,3136,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,7
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,950.000000000000000000000000000000,2949,3132,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,36,7
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,965.000000000000000000000000000000,1,731,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,7
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,983.000000000000000000000000000000,4693,2032,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38,7
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1048.000000000000000000000000000000,4915,2013,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,74,7
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1054.000000000000000000000000000000,3014,4106,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,7
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1007.000000000000000000000000000000,3359,1280,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,47,7
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,992.000000000000000000000000000000,1,3518,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,95,7
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1059.000000000000000000000000000000,5000,2250,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,7
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1046.000000000000000000000000000000,558,253,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.953859019662840035280737538415,25,7
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,962.000000000000000000000000000000,1122,1012,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,22,7
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1021.000000000000000000000000000000,1,1869,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,7
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1086.000000000000000000000000000000,2466,2695,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.546137883380680366762760513666,100,7
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1014.000000000000000000000000000000,1443,3943,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.145954546142246982531887056211,78,7
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,927.000000000000000000000000000000,2976,4901,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,85,7
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,959.000000000000000000000000000000,686,4039,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,7
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,967.000000000000000000000000000000,1,2630,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,32,7
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1135.000000000000000000000000000000,5000,485,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19,7
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,968.000000000000000000000000000000,4497,3668,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20,7
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1068.000000000000000000000000000000,300,4542,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,90,7
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,958.000000000000000000000000000000,5000,2597,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33,7
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,941.000000000000000000000000000000,2975,4049,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45,7
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1038.000000000000000000000000000000,3537,2028,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,7
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1030.000000000000000000000000000000,2962,4795,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44,7
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,984.000000000000000000000000000000,1,3184,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,7
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1019.000000000000000000000000000000,4838,4820,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.340025242811159422728906065458,20,7
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,960.000000000000000000000000000000,1729,3717,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,7
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,973.000000000000000000000000000000,3172,2926,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34,7
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1003.000000000000000000000000000000,183,2576,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39,7
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,960.000000000000000000000000000000,2498,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,84,7
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,5000,456,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,88,7
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,946.000000000000000000000000000000,1223,4063,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,7
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,995.000000000000000000000000000000,2227,1492,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,63,7
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,959.000000000000000000000000000000,1,3197,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,7
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1025.000000000000000000000000000000,4036,3635,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.422255089979544806499944797906,35,7
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,956.000000000000000000000000000000,4538,630,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,7
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,979.000000000000000000000000000000,1,3924,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,7
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1014.000000000000000000000000000000,2380,3291,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,13,7
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,996.000000000000000000000000000000,1,2556,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,25,7
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1015.000000000000000000000000000000,650,3147,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,38,7
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1176.000000000000000000000000000000,1,4484,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,7
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1055.000000000000000000000000000000,1216,3196,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.599974665913316274057365262706,39,7
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1006.000000000000000000000000000000,1149,4619,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,85,7
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1065.000000000000000000000000000000,442,961,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.366662165317355959182066271751,68,7
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1166.000000000000000000000000000000,854,3397,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.238241324546230703873561651562,44,7
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1016.000000000000000000000000000000,302,3229,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.612816197444833177243594946049,58,7
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1066.000000000000000000000000000000,900,1332,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.540682308019518553798832272150,19,7
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,995.000000000000000000000000000000,224,3091,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.588116950250680559086902121635,34,7
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,953.000000000000000000000000000000,4598,4190,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,7
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1043.000000000000000000000000000000,830,1274,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.495428753764218021693466198485,45,7
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,993.000000000000000000000000000000,4653,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,88,7
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1776.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,7
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1053.000000000000000000000000000000,317,1403,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.533489768748622417149363172939,31,7
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1130.000000000000000000000000000000,473,3207,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.532303962098957583748415345326,49,7
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,963.000000000000000000000000000000,5000,2982,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,84,7
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,988.000000000000000000000000000000,1500,4325,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46,7
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1050.000000000000000000000000000000,1,3019,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,7
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1097.000000000000000000000000000000,460,3249,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.981809008166959262808859421057,62,7
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1020.000000000000000000000000000000,249,1503,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.659223495035532458530269650510,12,7
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1022.000000000000000000000000000000,3770,4937,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,7
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1044.000000000000000000000000000000,373,420,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.306271472356295426653360891578,7,7
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1129.000000000000000000000000000000,3491,2005,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,85,7
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1277.000000000000000000000000000000,3345,172,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.499194552314806416770665009608,33,7
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,960.000000000000000000000000000000,1,4465,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,82,7
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1205.000000000000000000000000000000,4764,3174,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42,7
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1075.000000000000000000000000000000,1154,1574,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.135441797579345213353718690996,1,7
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1148.000000000000000000000000000000,3398,2422,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,79,7
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1058.000000000000000000000000000000,2757,1490,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.333306736676005022079749551267,31,7
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1009.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,60,7
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1062.000000000000000000000000000000,1,1699,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,27,7
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,984.000000000000000000000000000000,4821,4007,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21,7
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1044.000000000000000000000000000000,892,656,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.611322157814562561206628288346,14,7
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1009.000000000000000000000000000000,2145,3596,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.371857001359150507457940193490,69,7
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1033.000000000000000000000000000000,4703,991,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.305963847606389005573390704740,18,7
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1044.000000000000000000000000000000,3573,930,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.372502175805912882911030692412,18,7
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1046.000000000000000000000000000000,153,4831,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.151780610426296952431002296180,26,7
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1021.000000000000000000000000000000,2448,799,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.262437879504653859275009608609,17,7
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,971.000000000000000000000000000000,4242,4844,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.730643487276364189675348370656,17,7
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1162.000000000000000000000000000000,4861,1707,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.319371937302615538367689396182,53,7
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1030.000000000000000000000000000000,4783,916,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.495563708109080569563786866638,17,7
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1053.000000000000000000000000000000,3720,1279,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.323259446455002541487289136057,4,7
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1166.000000000000000000000000000000,4020,1555,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.628631587747508491226255955553,44,7
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1074.000000000000000000000000000000,882,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.187532868530708080045954488924,77,7
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1002.000000000000000000000000000000,160,1110,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.291605201469388453094921942466,63,7
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1224.000000000000000000000000000000,2812,2028,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.458293795385791069563197197567,55,7
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1009.000000000000000000000000000000,1445,3885,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,27,7
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1182.000000000000000000000000000000,973,1913,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.323267242241097596533450087009,51,7
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1060.000000000000000000000000000000,764,4460,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.364679057320873245551240415807,58,7
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1109.000000000000000000000000000000,721,2145,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.278252840727131189879628436756,43,7
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1140.000000000000000000000000000000,4012,1659,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.197933743007036394567776937947,55,7
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,936.000000000000000000000000000000,1350,4751,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,23,7
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1235.000000000000000000000000000000,4605,2159,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.368574262750909098507179351145,61,7
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1119.000000000000000000000000000000,4804,2057,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.272283976163000152048709878727,48,7
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1034.000000000000000000000000000000,674,694,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.264695967219689909377677849989,16,7
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,989.000000000000000000000000000000,3933,827,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.253999486088882731049665153478,16,7
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1447.000000000000000000000000000000,3156,2399,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.499266942280269632181699535067,70,7
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1043.000000000000000000000000000000,1685,1257,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.271661341234576525494048837572,7,7
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1058.000000000000000000000000000000,52,4498,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.248732570892556681396712292553,42,7
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1097.000000000000000000000000000000,1,4246,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.442470671388478120622522737904,51,7
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,994.000000000000000000000000000000,4967,4191,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.291196845226113054660999068801,55,7
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1018.000000000000000000000000000000,3270,3459,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.249581692516243736079672999040,80,7
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,994.000000000000000000000000000000,4875,951,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,70,7
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,965.000000000000000000000000000000,2556,1118,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,22,7
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1023.000000000000000000000000000000,2288,4811,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.718776573328003154372822791629,17,7
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,976.000000000000000000000000000000,1803,773,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.846738790075479585972573204344,86,7
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1058.000000000000000000000000000000,66,1991,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.470807607440232589457451695125,100,7
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1048.000000000000000000000000000000,4368,2402,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,7
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,972.000000000000000000000000000000,1,1112,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72,7
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1050.000000000000000000000000000000,2230,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.252361040176555528891100266264,11,7
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1154.000000000000000000000000000000,2880,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.494547916567711742796831231317,15,7
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1147.000000000000000000000000000000,4044,3820,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.136471712131764039144243838564,46,7
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1081.000000000000000000000000000000,4646,4325,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.271874393447181950111968262718,79,7
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,874,915,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.230167367660159077891179890685,72,7
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,953.000000000000000000000000000000,4778,1183,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,7
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1069.000000000000000000000000000000,472,3156,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.252309750488626916009593514900,31,7
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,996.000000000000000000000000000000,2646,4316,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.211712431203976231275376562735,46,7
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1028.000000000000000000000000000000,144,825,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.143224769194273321426535972023,23,7
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,978.000000000000000000000000000000,1,1872,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,7
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1036.000000000000000000000000000000,2164,1975,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.613044595536440972693981166231,46,7
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1082.000000000000000000000000000000,1231,900,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23,7
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1204.000000000000000000000000000000,3407,3598,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25,7
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1043.000000000000000000000000000000,3074,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.401823596602049692982916440087,1,7
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1013.000000000000000000000000000000,3753,976,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.803514004013748728283417221974,81,7
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1038.000000000000000000000000000000,2655,4578,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.207981255679930199242733124265,28,7
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1075.000000000000000000000000000000,1025,249,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.735821185627934526429783090862,10,7
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1033.000000000000000000000000000000,24,2326,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.642277667714292288536626074347,56,7
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1035.000000000000000000000000000000,317,4756,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.770749666289857193746115626709,19,7
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1038.000000000000000000000000000000,2251,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.566138160790295552615702945332,10,7
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,971.000000000000000000000000000000,2128,3490,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,7
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,997.000000000000000000000000000000,3484,4136,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.779181351486829876229478486493,55,7
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1144.000000000000000000000000000000,4646,4084,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.720067028976010825580544860713,34,7
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1004.000000000000000000000000000000,452,1633,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.422143705810240410514211362170,12,7
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,977.000000000000000000000000000000,2666,4508,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.907980077035804300500387853390,29,7
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1027.000000000000000000000000000000,4712,2213,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.250416686292441181826973206626,19,7
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1031.000000000000000000000000000000,4717,4961,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.215315950745703976743072871614,20,7
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,989.000000000000000000000000000000,4713,1057,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.252246198541870025877642547130,19,7
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,976.000000000000000000000000000000,3599,3853,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,7
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,970.000000000000000000000000000000,681,4684,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.838559697600608222600726548990,36,7
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,946.000000000000000000000000000000,3652,4051,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.907146753830339269697446979990,28,7
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,987.000000000000000000000000000000,3522,4634,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.861573538692493867685584518767,41,7
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,993.000000000000000000000000000000,230,1922,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.438099457231224953535075883337,2,7
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,939.000000000000000000000000000000,587,1984,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,86,7
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1087.000000000000000000000000000000,4273,4606,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.241084808258149901893929722974,20,7
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1002.000000000000000000000000000000,249,1797,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.390711484984712809076512485262,1,7
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,969.000000000000000000000000000000,308,503,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.869942596091766717769644401415,89,7
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,968.000000000000000000000000000000,4814,4276,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.820805965844087381810822989792,36,7
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,946.000000000000000000000000000000,2540,2168,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,7
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1006.000000000000000000000000000000,862,843,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.797612355664662042720181034383,84,7
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,980.000000000000000000000000000000,4900,4275,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.233787299147521610009903270111,17,7
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1001.000000000000000000000000000000,4661,2216,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.217340127581396563849480685349,19,7
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1016.000000000000000000000000000000,4775,3961,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.271784439169935443381120876438,19,7
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1044.000000000000000000000000000000,4064,4945,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.537623341318398728638783268252,36,7
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,956.000000000000000000000000000000,1445,1039,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.874202293452457590561266442819,90,7
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1065.000000000000000000000000000000,1,4521,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.835436314750923947336502806138,48,7
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1020.000000000000000000000000000000,3718,4983,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.254106855341738047115995868808,28,7
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1036.000000000000000000000000000000,19,4011,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.899104550102748922846274126641,28,7
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,944.000000000000000000000000000000,2130,4289,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,34,7
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1047.000000000000000000000000000000,4551,2393,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.282804048654492323766618255831,22,7
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1017.000000000000000000000000000000,463,4704,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.113929029953054108958987455935,30,7
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1112.000000000000000000000000000000,2082,4193,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.878982182169767201074250806414,50,7
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1027.000000000000000000000000000000,533,4970,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.098906363100161362456042013491,8,7
420,420_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1627.000000000000000000000000000000,1588,1922,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.325668681323528275139977949948,71,7
421,421_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1453.000000000000000000000000000000,4387,4275,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.755741456339135808661922055762,19,7
422,422_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1427.000000000000000000000000000000,3486,163,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.745916489548981154200646415120,89,7
423,423_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1426.000000000000000000000000000000,72,3456,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.179434555236250153908983406836,39,7
424,424_0,FAILED,Sobol,SOBOL,,,1172,894,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.471109575634822252965250299894,80,7
425,425_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1530.000000000000000000000000000000,2771,2911,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.914318180115893497372780984733,29,7
426,426_0,FAILED,Sobol,SOBOL,,,4361,1398,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.581050184786319756646832956903,61,7
427,427_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1495.000000000000000000000000000000,2166,4985,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.024811657335609197533310421591,10,7
428,428_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1259.000000000000000000000000000000,2439,405,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.237939068455249064237833067637,83,7
429,429_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1478.000000000000000000000000000000,4005,3361,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.679675776474177872898962959880,32,7
430,430_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1208.000000000000000000000000000000,3124,2474,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.814245285475626578985952619405,52,7
431,431_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1326.000000000000000000000000000000,903,3870,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.259429125426337114923569515668,1,7
432,432_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1618.000000000000000000000000000000,344,1787,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.091058066140860316473037983087,68,7
433,433_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1560.000000000000000000000000000000,3131,4450,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.522539975836873060721643469151,16,7
434,434_0,FAILED,Sobol,SOBOL,,,4740,963,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.980563428955152582844334574474,98,7
435,435_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1185.000000000000000000000000000000,1318,2696,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.412600050767883641533728678041,48,7
436,436_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1303.000000000000000000000000000000,1470,1244,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.551321171930059805710300224746,24,7
437,437_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1220.000000000000000000000000000000,4901,2639,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.125687394367530930194831739755,73,7
438,438_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1209.000000000000000000000000000000,3282,1672,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.380954036101698867433640316449,42,7
439,439_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1169.000000000000000000000000000000,505,4633,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.950869964223355013110960953782,92,7
440,440_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1251.000000000000000000000000000000,752,2197,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.651870143381878763833015000273,27,7
441,441_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1383.000000000000000000000000000000,2962,3922,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.204283399695530526463116416380,76,7
442,442_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1167.000000000000000000000000000000,3853,514,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.292048795841634289960353498827,8,7
443,443_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1187.000000000000000000000000000000,2278,3183,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.844914309490472081876077936613,57,7
444,444_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1320.000000000000000000000000000000,2006,1435,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.884560946997255070911592156335,36,7
445,445_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1116.000000000000000000000000000000,4209,4724,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.439405503183603274308666186698,85,7
446,446_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1219.000000000000000000000000000000,2609,691,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.059379120709374545727943228712,5,7
447,447_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1635.000000000000000000000000000000,1022,3045,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.609771419560536709347786654689,54,7
448,448_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1621.000000000000000000000000000000,234,131,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.786472345206886580548655274470,14,7
449,449_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,1621.000000000000000000000000000000,3637,3713,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.358348310269415382123270319426,63,7
450,450_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1418.000000000000000000000000000000,4548,2120,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.145842654863372445106506347656,45,7
451,451_0,RUNNING,Sobol,SOBOL,,,1740,4146,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.718168914241716249691194207116,95,7
452,452_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1673.000000000000000000000000000000,1863,262,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.607232185224071185913885528862,43,7
453,453_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1202.000000000000000000000000000000,4659,3552,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.037309594733640552566278358881,94,7
454,454_0,FAILED,Sobol,SOBOL,,,3681,2019,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.468281925234943607883053573460,24,7
455,455_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1321.000000000000000000000000000000,268,4374,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.893937593437731270462620614126,75,7
456,456_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1512.000000000000000000000000000000,978,1304,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.688576529206708087826882547233,8,7
457,457_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1417.000000000000000000000000000000,2575,4883,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.135719581460580218656986062342,60,7
458,458_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1514.000000000000000000000000000000,4086,793,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.359715209361165744184063441935,28,7
459,459_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1624.000000000000000000000000000000,1894,2817,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.807278158873319662269807395205,78,7
460,460_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1427.000000000000000000000000000000,4457,961,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.069986004495878995079749529395,28,7
461,461_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1404.000000000000000000000000000000,1747,1186,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.048441867771888587335116227450,27,7
462,462_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1453.000000000000000000000000000000,1094,1391,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.109305166670935663408847915434,28,7
463,463_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1432.000000000000000000000000000000,3405,3217,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.025362185633784180283090137209,25,7
464,464_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1447.000000000000000000000000000000,1647,4806,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.958855659358409884163165770588,41,7
465,465_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1543.000000000000000000000000000000,3610,2567,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,7
466,466_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1442.000000000000000000000000000000,3748,3836,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.416616373250292937324701370017,11,7
467,467_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1398.000000000000000000000000000000,4452,4277,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.401507799091385120249242390855,39,7
468,468_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1503.000000000000000000000000000000,133,1076,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.042817541535670550212344664942,78,7
469,469_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1568.000000000000000000000000000000,2273,3956,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.947462813683415006060783980502,37,7
470,470_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1485.000000000000000000000000000000,4122,3488,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.006752363502516087710725312121,35,7
471,471_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1586.000000000000000000000000000000,1,1306,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68,7
472,472_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1536.000000000000000000000000000000,1,1933,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,7
473,473_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1510.000000000000000000000000000000,1,2247,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,7
474,474_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1207.000000000000000000000000000000,3975,938,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,98,7
475,475_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1345.000000000000000000000000000000,1,469,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,98,7
476,476_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1408.000000000000000000000000000000,2390,1107,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.948358347109406696340272446832,84,7
477,477_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1443.000000000000000000000000000000,4718,1240,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.815269183894354099173540362244,91,7
478,478_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1425.000000000000000000000000000000,4840,4638,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.212059763943713536216151283043,84,7
479,479_0,FAILED,BoTorch,BOTORCH_MODULAR,,,632,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,7
480,480_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1610.000000000000000000000000000000,4048,1777,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,7
481,481_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1625.000000000000000000000000000000,4413,1857,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,7
482,482_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1371.000000000000000000000000000000,821,4273,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.944193626618379799886326964042,41,7
483,483_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1502.000000000000000000000000000000,930,4206,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.101078521483746991416197147373,33,7
484,484_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1625.000000000000000000000000000000,4928,2575,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.025752352179802505405259438476,88,7
485,485_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1335.000000000000000000000000000000,1836,1575,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.931971586562438503165139991324,31,7
486,486_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1361.000000000000000000000000000000,1312,3232,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.042771026665060954408126292492,1,7
487,487_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1473.000000000000000000000000000000,2511,2460,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,2,7
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1519.000000000000000000000000000000,3977,1754,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.132873882933601694666947423684,79,7
489,489_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1333.000000000000000000000000000000,3620,4982,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.192888730291595672516891113446,11,7
490,490_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1302.000000000000000000000000000000,3599,1539,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,74,7
491,491_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1326.000000000000000000000000000000,345,4927,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.047973589514856244953033836964,56,7
492,492_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1536.000000000000000000000000000000,4336,3393,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.194553317718982127226823308774,79,7
493,493_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1415.000000000000000000000000000000,57,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.949356840836897974966746005521,37,7
494,494_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1546.000000000000000000000000000000,1095,3094,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.946591992936883563913852412952,93,7
495,495_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1250.000000000000000000000000000000,5,3648,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.187833689183787289067595338565,84,7
496,496_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1470.000000000000000000000000000000,4967,4523,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.953302553390457219073539363308,27,7
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1609.000000000000000000000000000000,3493,4836,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.617422230523022808057476140675,80,7
498,498_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1556.000000000000000000000000000000,1349,4286,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.951037140807207581616466995911,78,7
499,499_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1532.000000000000000000000000000000,731,1043,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.251313001743725727976652706275,33,7
500,500_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,60,7
501,501_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1452.000000000000000000000000000000,732,3277,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37,7
502,502_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1510.000000000000000000000000000000,590,2073,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31,7
503,503_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1506.000000000000000000000000000000,1680,4120,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.955494482059819572050685110298,42,7
504,504_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1493.000000000000000000000000000000,2457,2052,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,7
505,505_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1388.000000000000000000000000000000,2699,4398,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41,7
506,506_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1599.000000000000000000000000000000,3449,4411,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.917198057465324789738758681779,38,7
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1545.000000000000000000000000000000,1239,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.046949811015759769505795162559,38,7
508,508_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3019,4544,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.179293501888351886064398854614,3,7
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1551.000000000000000000000000000000,4755,4734,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.043071985273896898349654804861,100,7
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1600.000000000000000000000000000000,630,1506,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,3,7
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1593.000000000000000000000000000000,4421,897,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.950987589380841491504270379664,81,7
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1376.000000000000000000000000000000,634,983,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.419312585471856125174383578269,81,7
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1572.000000000000000000000000000000,2512,3562,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.081286345938277992928533421946,17,7
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1431.000000000000000000000000000000,894,4479,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.055799243473145070104646237041,3,7
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1607.000000000000000000000000000000,3868,4435,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,69,7
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1303.000000000000000000000000000000,2823,2215,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.220011412204359907418549369140,12,7
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1426.000000000000000000000000000000,4259,4832,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.390936159784224135371744068834,8,7
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1398.000000000000000000000000000000,3416,2352,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.053003909303386560758486467648,1,7
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1637.000000000000000000000000000000,803,1418,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.837999147023452128912879288691,90,7
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1035.000000000000000000000000000000,4574,1974,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.951595335359424199239697372832,80,7
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1449.000000000000000000000000000000,2332,2147,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.954708553670518877964923376567,82,7
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1417.000000000000000000000000000000,4189,1955,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.874406397298383986083081254037,76,7
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1449.000000000000000000000000000000,317,3763,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.019270312944318482295535943649,56,7
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1492.000000000000000000000000000000,2502,4538,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.904768060725696932067307898251,14,7
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1595.000000000000000000000000000000,1463,4744,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.091553336496971296498692538535,25,7
526,526_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1595.000000000000000000000000000000,3474,1016,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.900360750517853469787610265485,24,7
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1244.000000000000000000000000000000,3534,2314,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.496201769879980381094952690546,27,7
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1600.000000000000000000000000000000,4176,903,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.616152734779850219659635968128,21,7
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1522.000000000000000000000000000000,4159,2933,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.224801830172500632931686936899,26,7
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1468.000000000000000000000000000000,4334,1058,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.053225295447433720874563789494,78,7
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1748.000000000000000000000000000000,3605,2438,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46,7
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1502.000000000000000000000000000000,1204,4314,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.859811503762300199937840261555,79,7
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1478.000000000000000000000000000000,4948,4337,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.245215536859178795392466554404,33,7
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1433.000000000000000000000000000000,4168,3225,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.841722399194720360959820482094,33,7
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1468.000000000000000000000000000000,1882,3192,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.139908849766048254403827399983,100,7
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1520.000000000000000000000000000000,2499,4552,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.218516618953691538207451117160,1,7
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1047.000000000000000000000000000000,1463,1636,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.043293250535413135837714548870,25,7
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1410.000000000000000000000000000000,293,3009,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.054033064854349333039351677144,39,7
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1320.000000000000000000000000000000,67,841,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,36,7
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1394.000000000000000000000000000000,1753,1764,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.083651966747797262824448694118,31,7
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1380.000000000000000000000000000000,353,1671,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.894693506652221692831972177373,95,7
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1295.000000000000000000000000000000,109,1847,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.835300561275888586720839157351,81,7
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,1469.000000000000000000000000000000,4346,3285,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.277911255732566808696049065475,1,7
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1457.000000000000000000000000000000,3662,1605,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.950257400681613018100790668541,77,7
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1548.000000000000000000000000000000,3515,4978,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.909183726522643675949097996636,37,7
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1491.000000000000000000000000000000,3531,4933,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.876660286165113822320904546359,50,7
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1462.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,7
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1240.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,98,7
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1465.000000000000000000000000000000,5000,1223,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,7
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1765.000000000000000000000000000000,1,3138,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,7
551,551_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2376,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,10,7
552,552_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3762,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,11,7
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1319.000000000000000000000000000000,1,1793,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,7
554,554_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29,7
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1602.000000000000000000000000000000,81,4498,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,83,7
556,556_0,FAILED,BoTorch,BOTORCH_MODULAR,,,619,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,13,7
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1471.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,76,7
558,558_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21,7
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1684.000000000000000000000000000000,4523,736,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,36,7
560,560_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1202,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,2,7
561,561_0,FAILED,BoTorch,BOTORCH_MODULAR,,,79,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12,7
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1484.000000000000000000000000000000,17,117,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,28,7
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1364.000000000000000000000000000000,1,3614,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,49,7
564,564_0,FAILED,BoTorch,BOTORCH_MODULAR,,,387,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17,7
565,565_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,7
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,16,7
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1613.000000000000000000000000000000,3332,308,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20,7
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1483.000000000000000000000000000000,1,3200,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,7
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1657.000000000000000000000000000000,1,846,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,7
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1501.000000000000000000000000000000,1,3504,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,40,7
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,10,7
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1444.000000000000000000000000000000,1,2449,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,7
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,14,7
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31,7
575,575_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12,7
</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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<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
⚠ Job 4547020 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547020/4547020_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547020/4547020_0_log.out
----------------------------------------
submitit INFO (2025-04-18 19:51:20,915) - Starting with JobEnvironment(job_id=4547020, hostname=i7174, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 19:51:20,916) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547020/4547020_submitted.pkl
slurmstepd: error: *** JOB 4547020 ON i7174 CANCELLED AT 2025-04-18T20:21:15 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547020/4547020_0_log.err not found


⚠ Job 4547129 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547129/4547129_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547129/4547129_0_log.out
----------------------------------------
submitit INFO (2025-04-18 19:51:26,070) - Starting with JobEnvironment(job_id=4547129, hostname=i7172, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 19:51:26,073) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547129/4547129_submitted.pkl
slurmstepd: error: *** JOB 4547129 ON i7172 CANCELLED AT 2025-04-18T20:21:15 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547129/4547129_0_log.err not found


⚠ Job 4547713 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547713/4547713_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547713/4547713_0_log.out
----------------------------------------
submitit INFO (2025-04-18 19:55:15,948) - Starting with JobEnvironment(job_id=4547713, hostname=i7174, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 19:55:15,951) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547713/4547713_submitted.pkl
slurmstepd: error: *** JOB 4547713 ON i7174 CANCELLED AT 2025-04-18T20:25:15 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4547713/4547713_0_log.err not found

Job SlurmJob&lt;job_id=4551070, 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 4551070 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4551070/4551070_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_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4551070/4551070_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4551070/4551070_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4551070/4551070_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560965/4560965_0_log.err not found


⚠ Job 4572332 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572332/4572332_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572332/4572332_0_log.out
----------------------------------------
submitit INFO (2025-04-19 03:36:17,040) - Starting with JobEnvironment(job_id=4572332, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 03:36:17,047) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572332/4572332_submitted.pkl
slurmstepd: error: *** JOB 4572332 ON i7173 CANCELLED AT 2025-04-19T04:06:32 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572332/4572332_0_log.err not found


⚠ Job 4575889 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575889/4575889_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575889/4575889_0_log.out
----------------------------------------
submitit INFO (2025-04-19 04:56:49,013) - Starting with JobEnvironment(job_id=4575889, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 04:56:49,016) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575889/4575889_submitted.pkl
slurmstepd: error: *** JOB 4575889 ON i7180 CANCELLED AT 2025-04-19T05:27:05 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575889/4575889_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4595536/4595536_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4596009/4596009_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597036/4597036_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597997/4597997_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4598917/4598917_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4600543/4600543_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4600801/4600801_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601580/4601580_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601901/4601901_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4602195/4602195_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4603932/4603932_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4604436/4604436_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4604701/4604701_0_log.err not found

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
			
			<h1>&nbsp;Args Overview</h1>
			<h2>Arguments Overview:                                                                               </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value                                                                                                                             </th></tr></thead><tbody><tr><td> config_yaml</td><td>None                                                                                                                              </td></tr><tr><td> config_toml</td><td>None                                                                                                                              </td></tr><tr><td> config_json</td><td>None                                                                                                                              </td></tr><tr><td> num_random_steps</td><td>20                                                                                                                                </td></tr><tr><td> max_eval</td><td>None                                                                                                                              </td></tr><tr><td> run_program</td><td>None                                                                                                                              </td></tr><tr><td> experiment_name</td><td>None                                                                                                                              </td></tr><tr><td> mem_gb</td><td>1                                                                                                                                 </td></tr><tr><td> parameter</td><td>None                                                                                                                              </td></tr><tr><td> continue_previous_job</td><td>/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_PokerHand_ft_7_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">1744998430.1578276,20,0,0
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1745053742.188079,20,2,10
1745053756.5615466,20,2,10
1745053770.883712,20,2,10
1745053785.659328,20,2,10
1745053799.910204,20,2,10
1745053814.2411768,20,2,10
1745053829.0431008,20,2,10
1745053843.1596859,20,2,10
1745053857.4894316,20,2,10
1745053872.511499,20,2,10
1745053886.9084058,20,2,10
1745053901.366314,20,2,10
1745053916.420396,20,2,10
1745053930.871954,20,2,10
1745053945.297015,20,2,10
1745053959.714945,20,2,10
1745053973.7615087,20,2,10
1745053988.187013,20,2,10
1745054002.0394123,20,2,10
1745054015.9433079,20,2,10
1745054029.7938766,20,2,10
1745054044.0791,20,2,10
1745054058.0150073,20,2,10
1745054072.2053933,20,2,10
1745054086.5365915,20,2,10
1745054101.043403,20,2,10
1745054115.603697,20,2,10
1745054130.710578,20,2,10
1745054145.6242254,20,2,10
1745054160.5909004,20,2,10
1745054175.3564932,20,2,10
1745054190.1833124,20,2,10
1745054204.9204404,20,2,10
1745054219.6678956,20,2,10
1745054234.5960546,20,2,10
1745054249.1795511,20,2,10
1745054263.853392,20,2,10
1745054278.4659503,20,2,10
1745054293.0124998,20,2,10
1745054307.497944,20,2,10
1745054321.1616106,20,2,10
1745054326.8630087,20,2,10
1745054336.6850066,20,1,5
1745054336.8393385,20,1,5
1745054348.4435654,20,1,5
1745054359.5463796,20,1,5
1745054370.7242987,20,1,5
1745054381.9378333,20,1,5
1745054393.8702407,20,1,5
1745054405.076721,20,1,5
1745054416.5153186,20,1,5
1745054427.834273,20,1,5
1745054439.17805,20,1,5
1745054451.2235315,20,1,5
1745054462.4649606,20,1,5
1745054473.726792,20,1,5
1745054484.9883964,20,1,5
1745054496.3366594,20,1,5
1745054508.2449903,20,1,5
1745054519.2528377,20,1,5
1745054530.3420987,20,1,5
1745054541.3468356,20,1,5
1745054552.2017746,20,1,5
1745054563.0847585,20,1,5
1745054574.3945832,20,1,5
1745054585.5299864,20,1,5
1745054596.3463926,20,1,5
1745054607.8976996,20,1,5
1745054619.2910666,20,1,5
1745054630.7325444,20,1,5
1745054642.2462173,20,1,5
1745054654.533983,20,1,5
1745054665.9064565,20,1,5
1745054677.4915805,20,1,5
1745054689.1531625,20,1,5
1745054700.540837,20,1,5
1745054712.0977633,20,1,5
1745054723.757062,20,1,5
1745054735.412701,20,1,5
1745054746.940974,20,1,5
1745054758.6177335,20,1,5
1745054771.0202155,20,1,5
1745054782.5779335,20,1,5
1745054794.2372239,20,1,5
1745054805.6788905,20,1,5
1745054817.0771787,20,1,5
1745054828.3162072,20,1,5
1745054834.018294,20,1,5
1745054840.8339987,20,0,0
1745054851.5848846,20,0,0
1745055483.643521,20,0,0
1745055483.8668396,20,0,0
1745055485.2840042,20,1,5
1745055491.307306,20,1,5
1745056138.300654,20,1,5
1745056138.7739394,20,1,5
1745056140.1857884,20,2,10
1745056149.8648636,20,2,10
1745056927.5523016,20,2,10
1745056928.039625,20,2,10
1745056929.5382144,20,3,15
1745056930.3329957,20,3,15
1745056943.4842505,20,2,10
1745056943.8469565,20,2,10
1745057600.8106527,20,2,10
1745057601.1677194,20,2,10
1745057602.7649434,20,3,15
1745057603.4872932,20,3,15
1745057616.5204706,20,2,10
1745057616.8382888,20,2,10
1745058248.992606,20,2,10
1745058249.3338084,20,2,10
1745058251.1203527,20,3,15
1745058251.8870165,20,3,15
1745058264.9038305,20,2,10
1745058265.051532,20,2,10
1745058964.9776673,20,2,10
1745058965.3270485,20,2,10
1745058967.0642273,20,3,15
1745058979.833162,20,3,15
1745059629.0139906,20,3,15
1745059629.3699336,20,3,15
1745059631.1190653,20,4,20
1745059631.9105558,20,4,20
1745059651.733599,20,3,15
1745059651.89351,20,3,15
1745060841.8738081,20,3,15
1745060842.2358813,20,3,15
1745060844.1787589,20,4,20
1745060844.9852345,20,4,20
1745060849.4306905,20,3,15
1745060864.143032,20,2,10
1745060864.245394,20,2,10
1745061685.96917,20,2,10
1745061686.3217065,20,2,10
1745061688.0914762,20,3,15
1745061688.8539002,20,3,15
1745061703.088705,20,2,10
1745061703.242801,20,2,10
1745062614.1705842,20,2,10
1745062614.5605187,20,2,10
1745062616.1865003,20,3,15
1745062617.0928779,20,3,15
1745062631.2693374,20,2,10
1745062631.460563,20,2,10
1745063647.9391575,20,2,10
1745063649.302295,20,2,10
1745063651.1820517,20,3,15
1745063652.031817,20,3,15
1745063666.213229,20,2,10
1745063666.4040444,20,2,10
1745064752.0164025,20,2,10
1745064752.3803322,20,2,10
1745064755.1572268,20,3,15
1745064755.9199872,20,3,15
1745064769.6819873,20,2,10
1745064769.8416436,20,2,10
1745065652.0572677,20,2,10
1745065652.4708672,20,2,10
1745065654.1884618,20,3,15
1745065655.070934,20,3,15
1745065660.3856337,20,2,10
1745065673.1923115,20,1,5
1745065673.4273248,20,1,5
1745066532.8844626,20,1,5
1745066533.2126532,20,1,5
1745066534.8804538,20,2,10
1745066535.192672,20,2,10
1745066546.361572,20,1,5
1745066546.4417312,20,1,5
1745067659.381845,20,1,5
1745067660.0309079,20,1,5
1745067661.542552,20,2,10
1745067672.3129065,20,2,10
1745068678.4715123,20,2,10
1745068679.014981,20,2,10
1745068680.5870008,20,3,15
1745068681.3538508,20,3,15
1745068686.4598134,20,2,10
1745068697.024549,20,1,5
1745068697.2080965,20,1,5
1745069563.6348147,20,1,5
1745069564.088936,20,1,5
1745069565.5613358,20,2,10
1745069575.0942686,20,2,10
1745070420.062777,20,2,10
1745070420.4537392,20,2,10
1745070422.1222086,20,3,15
1745070422.9233506,20,3,15
1745070427.0843554,20,2,10
1745070438.9338298,20,1,5
1745070439.140796,20,1,5
1745071410.5889585,20,1,5
1745071411.00655,20,1,5
1745071412.4020116,20,2,10
1745071423.1761882,20,2,10
1745072279.0637345,20,2,10
1745072279.3314672,20,2,10
1745072281.0492232,20,3,15
1745072281.5249636,20,3,15
1745072285.4296865,20,2,10
1745072297.5141447,20,1,5
1745072297.6865704,20,1,5
</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
1744998430,641.4140625,20.7
1744998430,641.5546875,21.1
1744998430,641.5546875,20.5
1744998430,641.5546875,11.1
1744998430,641.5546875,22.6
1744998430,641.5546875,22.0
1744998430,641.5546875,21.7
1744999129,703.5078125,31.5
1744999129,703.5078125,32.0
1744999129,703.5078125,34.2
1744999129,703.5078125,36.0
1745001682,742.19140625,24.8
1745001682,742.19140625,21.7
1745001682,742.19140625,18.0
1745001682,742.19140625,17.6
1745012154,870.29296875,20.8
1745012154,870.29296875,21.4
1745012154,870.29296875,21.1
1745012154,870.29296875,20.8
1745024488,900.8125,22.0
1745024488,900.8125,20.3
1745024488,900.8125,19.6
1745024488,900.8125,17.2
1745038207,900.39453125,22.0
1745038207,900.39453125,21.4
1745038207,900.39453125,20.4
1745038207,900.39453125,25.6
1745053481,919.9375,20.7
1745053481,919.9375,21.0
1745053481,919.9375,20.5
1745053481,919.9375,19.2
1745072305,929.41015625,20.5
1745072305,929.41015625,20.9
1745072305,929.41015625,20.3
1745072305,929.41015625,16.7
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;Heatmap</h1>
			<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
			    <h1>Correlation Heatmap Explanation</h1>
			
			    <p>
			        This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
			    </p>
			
			    <h2>How It Works</h2>
			    <p>
			        The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
			    </p>
			    <ul>
			        <li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
			        <li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
			        <li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
			    </ul>
			
			    <h2>Color Scale: Yellow to Purple (Viridis)</h2>
			    <p>
			        The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
			    </p>
			    <ul>
			        <li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
			        <li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
			        <li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
			        <li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
			    </ul>
			
			    <h2>What the Heatmap Shows</h2>
			    <p>
			        In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
			    </p>
			
			<h1>&nbsp;Result-Pairs</h1>
			<div class="invert_in_dark_mode" id="plotResultPairs"></div>
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
			<h1>&nbsp;Exit-Codes</h1>
			<div class="invert_in_dark_mode" id="plotExitCodesPieChart"></div>
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