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,n_samples,n_permutations,update_interval,n_consecutive_deviations
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.720738874895046177648794127890,194.592880010604858398437500000000,3344,888,49,51,4
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.661460957178841346681963386800,49.133193969726562500000000000000,341,284,17,165,1
2,2_0,FAILED,Sobol,GenerationStep_0,,,1906,575,33,145,3
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.723593618807724547892235023028,55.494751214981079101562500000000,2898,482,22,233,4
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.646347607052896733215163749264,45.030805349349975585937500000000,2348,754,11,206,3
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.713098236775818627997125531692,179.513248205184936523437500000000,1364,389,43,116,2
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.655499580184718766417972801719,73.543387651443481445312500000000,921,892,27,200,2
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.659697732997481134376016598253,182.475268125534057617187500000000,3917,137,37,85,5
8,8_0,FAILED,Sobol,GenerationStep_0,,,3725,635,28,100,1
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.685642317380352639411000836844,56.575592994689941406250000000000,738,507,38,216,5
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.680940386230058813943344375730,130.819059848785400390625000000000,1041,778,13,94,4
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.621578505457598629035942394694,20.186394929885864257812500000000,2048,251,43,184,3
12,12_0,FAILED,Sobol,GenerationStep_0,,,2715,995,32,155,2
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.682031905961376971880838482321,244.669543266296386718750000000000,1715,177,22,66,3
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.589252728799328329145623683871,298.677754640579223632812500000000,40,686,47,250,5
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.692779177162048731553056768462,159.075114965438842773437500000000,3019,371,17,136,1
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.690092359361880736123850965669,76.917230606079101562500000000000,3160,703,40,193,4
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.683879093198992427105054048297,45.653309822082519531250000000000,181,328,29,79,3
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.695465994962216615959960108739,134.559969663619995117187500000000,1606,957,45,212,1
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.622837951301427383832276518660,68.488093852996826171875000000000,2606,185,13,123,4
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.658522250209907622497951251717,260.854528665542602539062500000000,2157,823,20,138,5
21,21_0,FAILED,Sobol,GenerationStep_0,,,1150,236,31,228,2
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.696137699412258559306110328180,119.475982666015625000000000000000,598,626,15,56,2
23,23_0,FAILED,Sobol,GenerationStep_0,,,3585,544,46,172,4
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.666666666666666629659232512495,110.659118890762329101562500000000,3776,933,19,244,3
25,25_0,FAILED,Sobol,GenerationStep_0,,,780,126,49,129,4
26,26_0,FAILED,Sobol,GenerationStep_0,,,1474,734,24,162,5
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.713098236775818627997125531692,109.433568716049194335937500000000,2458,436,34,72,1
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.715029387069689326139609875099,123.340288877487182617187500000000,2789,588,41,88,1
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.670864819479428997617276309029,136.052598714828491210937500000000,1797,442,11,177,5
30,30_0,COMPLETED,Sobol,GenerationStep_0,0.679261125104953844555666364613,76.835575342178344726562500000000,481,839,36,108,3
31,31_0,FAILED,Sobol,GenerationStep_0,,,3483,302,26,221,2
32,32_0,COMPLETED,Sobol,GenerationStep_0,0.686985726280436637125603738241,97.594797849655151367187500000000,3380,561,13,175,5
33,33_0,COMPLETED,Sobol,GenerationStep_0,0.706297229219143618550447172311,113.474245309829711914062500000000,397,468,44,60,2
34,34_0,COMPLETED,Sobol,GenerationStep_0,0.660285474391267834803898040263,97.194268941879272460937500000000,1823,873,28,231,2
35,35_0,COMPLETED,Sobol,GenerationStep_0,0.686481947942905068593688611145,89.776930809020996093750000000000,2826,269,39,141,3
36,36_0,FAILED,Sobol,GenerationStep_0,,,2440,906,48,120,4
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.669353484466834625088438315288,60.704662561416625976562500000000,2366,482,39,209,3
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.663140218303946316069641397917,38.352751255035400390625000000000,2302,504,41,182,2
39,39_0,FAILED,BoTorch,GenerationStep_1,,,2086,474,20,229,3
40,40_0,FAILED,BoTorch,GenerationStep_1,,,531,487,50,149,3
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.643912678421494577563066741277,57.069819211959838867187500000000,2596,509,50,188,3
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.685810243492863125247538391704,96.342179775238037109375000000000,1140,487,37,219,4
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.650377833753148615336669990938,35.894405603408813476562500000000,2377,482,21,231,2
44,44_0,FAILED,BoTorch,GenerationStep_1,,,2370,465,10,250,3
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.679848866498740544983547806623,57.572444438934326171875000000000,2556,495,50,230,3
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.724013434089000873505881372694,39.449234724044799804687500000000,155,474,50,110,1
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.562804366078925255578724318184,14.890857934951782226562500000000,2029,483,50,249,3
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.658354324097397136661413696856,35.013401031494140625000000000000,2371,460,50,229,4
49,49_0,FAILED,BoTorch,GenerationStep_1,,,2086,468,10,193,2
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.665575146935348471721738405904,67.973251819610595703125000000000,598,487,10,225,1
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.639966414777497938359829277033,22.595691442489624023437500000000,67,474,50,130,2
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.664399664147774959843673059368,45.438687324523925781250000000000,2370,398,10,207,3
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.718891687657430722424578561913,69.585473060607910156250000000000,618,474,17,161,3
54,54_0,FAILED,BoTorch,GenerationStep_1,,,313,612,50,75,5
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.688832913518052092349819304218,287.226474761962890625000000000000,2296,515,50,160,2
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.663056255247690962129070157971,64.362445592880249023437500000000,2549,512,50,205,2
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.686062132661628854002344723995,166.296490907669067382812500000000,1632,466,43,227,3
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.663727959697733016497522839927,41.395910501480102539062500000000,284,527,14,127,4
59,59_0,FAILED,BoTorch,GenerationStep_1,,,3360,535,33,250,5
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.664147774979009231088866727077,26.862851381301879882812500000000,2171,514,27,191,2
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.696221662468513802224379105610,42.827919006347656250000000000000,183,544,34,89,1
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.668178001679261113210372968751,27.946521997451782226562500000000,2191,492,26,191,5
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.605457598656591100549917427998,12.183726549148559570312500000000,10,523,33,91,5
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.738623005877413918440765883133,134.524217605590820312500000000000,2576,595,41,50,1
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.643324937027707766112882836751,18.519067525863647460937500000000,10,1000,50,84,1
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.646431570109151976133432526694,30.520246982574462890625000000000,2125,1000,50,192,1
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.659697732997481134376016598253,34.173401594161987304687500000000,180,547,30,146,1
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.713434089000839599670200641413,96.279071092605590820312500000000,481,626,38,83,1
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.659697732997481134376016598253,28.687767982482910156250000000000,2258,545,20,245,5
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.720403022670025205975719018170,320.804072618484497070312500000000,4000,595,39,50,2
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.622753988245172140914007741230,17.873255968093872070312500000000,10,1000,50,74,5
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.649286314021830346376873421832,35.854069948196411132812500000000,2158,372,26,192,1
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.674055415617128450556094776402,57.666003704071044921875000000000,2388,541,32,101,5
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.704114189756507191653156496614,254.358100414276123046875000000000,4000,1000,50,128,1
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.672712006717044452841491875006,90.355667114257812500000000000000,2347,556,36,50,3
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.727120067170444972504128600121,992.079844713211059570312500000000,2595,565,33,114,1
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.654156171284634768703369900322,40.084568977355957031250000000000,2447,271,16,250,5
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.628379513014273749504923216591,15.910375118255615234375000000000,10,635,42,73,1
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.679261125104953844555666364613,1347.463402986526489257812500000000,3294,473,26,220,5
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.695046179680940401368616221589,65.639644384384155273437500000000,336,537,37,89,5
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.696137699412258559306110328180,784.557538032531738281250000000000,4000,542,31,123,5
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.712342569269521441732706534822,189.672801256179809570312500000000,4000,1000,50,152,1
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.674391267842149422229169886123,144.759169816970825195312500000000,4000,531,29,166,2
84,84_0,FAILED,BoTorch,GenerationStep_1,,,3972,1000,50,187,1
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.560789252728799314517971197347,11.980207681655883789062500000000,10,464,29,150,5
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.691351805205709490920185089635,153.030763864517211914062500000000,4000,625,28,140,5
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.710495382031905986508490968845,87.731783390045166015625000000000,582,508,27,80,5
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.610411418975650765794682683918,220.404023647308349609375000000000,10,489,28,121,1
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.705205709487825349590650603204,54.084026575088500976562500000000,2241,633,42,95,1
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.718639798488664993669772229623,171.641648292541503906250000000000,2731,673,10,50,1
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.723593618807724547892235023028,330.733680248260498046875000000000,1721,562,50,50,1
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.728715365239294698973537833808,409.599945068359375000000000000000,4000,1000,10,50,1
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.692863140218303974471325545892,181.498888492584228515625000000000,1050,137,50,50,1
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.734844668345927765074065973749,496.529509305953979492187500000000,1508,494,10,50,1
95,95_0,RUNNING,BoTorch,GenerationStep_1,,,2866,647,50,50,1
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.710159529806885014835415859125,208.182014942169189453125000000000,1419,499,50,50,5
97,97_0,FAILED,BoTorch,GenerationStep_1,,,4000,722,10,187,1
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.603610411418975645325701862021,10.585102319717407226562500000000,10,100,10,50,1
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.729806884970612967933334402915,189.689577817916870117187500000000,2775,1000,10,50,1
100,100_0,RUNNING,BoTorch,GenerationStep_1,,,1179,1000,10,73,1
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.757430730478589442355996652623,387.531242609024047851562500000000,4000,503,10,50,1
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.742065491183879100134390682797,475.639401912689208984375000000000,4000,283,50,50,1
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.718387909319899264914965897333,324.871183156967163085937500000000,4000,1000,10,50,5
104,104_0,FAILED,BoTorch,GenerationStep_1,,,2166,848,50,50,1
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.593282955499580211267129925545,9.049949884414672851562500000000,10,100,10,50,5
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.720151133501259477220912685880,197.790322542190551757812500000000,864,567,50,50,1
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.642989084802686794439807727031,240.816392183303833007812500000000,10,531,10,50,1
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.702015113350125896651832135831,338.716910839080810546875000000000,1894,100,10,50,1
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.604785894206549157203767208557,10.686228513717651367187500000000,10,111,50,50,1
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.704534005037783406244500383764,332.531161069869995117187500000000,4000,100,10,50,1
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.732157850545759880667162633472,426.273351430892944335937500000000,1903,756,10,50,1
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.682199832073887457717376037181,184.122193336486816406250000000000,617,815,10,50,5
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.678001679261125089759332240646,25.809446334838867187500000000000,2040,1000,50,50,5
114,114_0,FAILED,BoTorch,GenerationStep_1,,,10,100,47,50,5
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.596221662468513824428839598113,7.518453121185302734375000000000,10,100,43,175,1
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.654659949622166226212982564903,199.187878847122192382812500000000,1675,100,50,50,5
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.717632241813601967628244437947,435.149018526077270507812500000000,4000,743,50,50,1
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.654408060453400497458176232612,159.117424726486206054687500000000,1603,1000,10,250,1
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.666162888329135172149619847914,129.150972843170166015625000000000,4000,1000,10,250,1
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.690512174643157061737497315335,76.887488603591918945312500000000,683,233,50,116,3
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.702938706968933679775091150077,244.214117765426635742187500000000,1606,934,30,88,3
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.721494542401343363913213124761,140.160278797149658203125000000000,2631,1000,50,70,2
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.634760705289672544360257688822,81.963191270828247070312500000000,741,100,10,100,4
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.676910159529806931821838134056,78.878663063049316406250000000000,2867,981,38,250,2
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.717968094038623050323622010183,272.979390859603881835937500000000,1400,905,10,75,3
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.642989084802686794439807727031,70.027399301528930664062500000000,593,100,50,143,3
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.696473551637279642001487900416,181.121186256408691406250000000000,1517,1000,50,105,3
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.716204869857262838017675221636,286.609771966934204101562500000000,1723,1000,22,90,1
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.658018471872376164988338587136,99.090069532394409179687500000000,764,100,50,68,4
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.644332493702770792154410628427,66.862190485000610351562500000000,2934,100,50,250,2
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.705793450881612050018532045215,98.725658178329467773437500000000,683,658,50,119,3
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.628127623845508020750116884301,94.889789104461669921875000000000,1365,100,50,250,2
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.698068849706129257448594671587,278.296768903732299804687500000000,1666,1000,10,50,4
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.726196473551637300403172048391,128.284535408020019531250000000000,2597,1000,32,69,1
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.665323257766582742966932073614,69.638697385787963867187500000000,1283,100,10,250,3
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.670948782535684351557847548975,65.610407114028930664062500000000,696,100,10,140,3
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.686565910999160422534259851091,91.148803234100341796875000000000,2873,1000,10,166,3
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.664147774979009231088866727077,76.816322326660156250000000000000,833,100,10,130,3
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.653484466834592825357219680882,136.887045621871948242187500000000,1358,1000,10,147,4
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.616960537363560046486554711009,71.124472618103027343750000000000,825,150,50,104,5
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.667086481947942955272878862161,155.705794095993041992187500000000,1497,672,10,126,3
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.712006717044500470059631425102,204.269793272018432617187500000000,1564,1000,10,82,2
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.704198152812762434571425274044,251.601221084594726562500000000000,1541,844,50,104,1
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.669353484466834625088438315288,192.733649492263793945312500000000,1330,100,10,50,4
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.698320738874895097225703466393,72.972311496734619140625000000000,664,197,50,127,1
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.694458438287153700940734779579,208.760243654251098632812500000000,1711,1000,50,108,3
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.651049538203190558682820210379,137.134091377258300781250000000000,1291,1000,50,250,2
148,148_0,FAILED,BoTorch,GenerationStep_1,,,599,100,50,92,4
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.653904282115869039948563568032,90.396180629730224609375000000000,687,100,50,70,2
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.722250209907640661199934584147,84.447041988372802734375000000000,617,512,50,103,2
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.684802686817800210228313062544,69.391847848892211914062500000000,642,460,50,198,2
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.728127623845507998545656391798,343.283031463623046875000000000000,1464,672,50,50,1
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.675314861460957205352428900369,75.256856679916381835937500000000,825,404,50,250,1
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.717968094038623050323622010183,106.181307792663574218750000000000,600,503,50,82,1
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.708900083963056260039081735158,83.851648569107055664062500000000,629,491,50,149,2
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.671536523929471051985728990985,61.194163084030151367187500000000,800,381,10,250,3
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.659445843828715405621210265963,50.012110471725463867187500000000,620,477,50,250,3
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.723593618807724547892235023028,350.781143903732299804687500000000,3562,622,50,51,1
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.717716204869857210546513215377,190.292778253555297851562500000000,3408,739,10,120,1
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.621494542401343386117673617264,94.126241445541381835937500000000,3030,618,10,250,1
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.690680100755667547574034870195,112.983471870422363281250000000000,566,548,50,50,3
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.699160369437447526408391240693,269.274705886840820312500000000000,1491,643,50,50,3
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.724685138539042816852031592134,235.445698738098144531250000000000,3142,1000,50,69,1
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.690512174643157061737497315335,65.879987001419067382812500000000,560,496,50,151,3
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.720486985726280448893987795600,86.505706548690795898437500000000,713,524,50,133,1
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.644332493702770792154410628427,116.957346200942993164062500000000,3138,685,50,250,1
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.692275398824517163021141641366,118.398233652114868164062500000000,2899,826,50,97,2
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.697649034424853042857250784436,418.895252704620361328125000000000,437,535,50,50,5
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.683291351805205726677172606287,55.429062604904174804687500000000,644,260,50,250,2
170,170_0,FAILED,BoTorch,GenerationStep_1,,,1045,447,10,250,2
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.646431570109151976133432526694,48.894948720932006835937500000000,442,564,50,182,3
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.685642317380352639411000836844,146.260852575302124023437500000000,3005,758,50,136,1
173,173_0,FAILED,BoTorch,GenerationStep_1,,,1719,758,50,50,1
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.719563392107472665770728781354,257.977362632751464843750000000000,1381,527,50,69,1
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.704030226700251837712585256668,290.721381664276123046875000000000,3696,803,10,50,3
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.682955499580184755004097496567,62.888544321060180664062500000000,619,482,50,185,1
177,177_0,FAILED,BoTorch,GenerationStep_1,,,1251,457,10,98,1
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.659109991603694322925832693727,130.760386705398559570312500000000,4000,100,50,250,1
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.715449202350965540730953762250,94.452965736389160156250000000000,2834,710,10,153,1
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.729890848026868210851603180345,140.437126398086547851562500000000,2748,1000,10,50,4
181,181_0,FAILED,BoTorch,GenerationStep_1,,,1351,550,50,250,5
182,182_0,FAILED,BoTorch,GenerationStep_1,,,2886,790,10,50,3
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.721074727120067149321869237610,297.765431404113769531250000000000,3314,1000,10,50,1
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.703190596137699408529897482367,114.996648073196411132812500000000,695,473,10,102,1
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.711922753988245227141362647671,207.793739795684814453125000000000,3054,1000,10,50,3
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.689084802686817821104625636508,92.701134920120239257812500000000,1326,390,10,250,5
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.725692695214105842893559383810,149.738674879074096679687500000000,2882,1000,50,50,4
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.736691855583543220298281539726,209.090581655502319335937500000000,3103,676,10,50,2
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.718387909319899264914965897333,56.988203525543212890625000000000,403,458,10,129,2
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.688497061293031120676744194498,58.230275154113769531250000000000,317,559,50,90,3
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.717548278757346724709975660517,141.067939281463623046875000000000,2458,846,10,50,1
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.683123425692695240840635051427,64.753896713256835937500000000000,2577,1000,10,250,2
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.729135180520570913564881720959,131.158451795578002929687500000000,2695,1000,50,50,5
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.693618807724601160735744542762,222.713238477706909179687500000000,3573,1000,50,78,3
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.712006717044500470059631425102,266.290936231613159179687500000000,3403,327,50,50,2
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.694710327455919429695541111869,53.858572006225585937500000000000,218,562,10,50,3
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.722502099076406389954740916437,70.895862340927124023437500000000,456,497,50,116,1
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.683291351805205726677172606287,93.825459957122802734375000000000,2668,779,10,112,3
199,199_0,FAILED,BoTorch,GenerationStep_1,,,3692,445,10,50,1
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.721158690176322392240138015040,81.546339511871337890625000000000,587,458,10,147,1
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.663979848866498745252329172217,93.203672170639038085937500000000,1610,837,10,250,5
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.725020990764063788525106701854,98.397296905517578125000000000000,2496,1000,50,50,4
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.663979848866498745252329172217,68.369007825851440429687500000000,992,266,50,250,5
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.737027707808564191971356649447,76.625757455825805664062500000000,2230,994,50,50,1
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.667338371116708684027685194451,43.490630149841308593750000000000,121,543,50,50,3
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.598908480268681819858045400906,15.093684911727905273437500000000,10,1000,50,250,2
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.686985726280436637125603738241,188.416741132736206054687500000000,3653,1000,10,106,3
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.701679261125104924978757026111,41.712797641754150390625000000000,217,492,10,131,3
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.727204030226700215422397377552,170.453237771987915039062500000000,2871,1000,50,50,3
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.680604534005037731247966803494,219.081362724304199218750000000000,3216,627,50,50,3
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.686230058774139339838882278855,83.908075809478759765625000000000,313,372,50,94,1
212,212_0,RUNNING,BoTorch,GenerationStep_1,,,3237,619,10,50,1
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.708732157850545774202544180298,177.986935377120971679687500000000,3091,482,50,50,5
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.712930310663308142160587976832,240.295902490615844726562500000000,1141,795,50,50,1
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.699916036943744712672810237564,73.362834930419921875000000000000,320,444,10,92,1
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.704114189756507191653156496614,223.152752161026000976562500000000,3128,329,10,50,3
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.714945424013434083221341097669,160.597113132476806640625000000000,3242,637,50,87,3
218,218_0,RUNNING,BoTorch,GenerationStep_1,,,2731,661,10,250,2
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.664315701091519716925404281938,43.517781257629394531250000000000,2377,1000,50,250,3
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.641141897565071339215592161054,49.504779100418090820312500000000,307,233,10,95,2
221,221_0,RUNNING,BoTorch,GenerationStep_1,,,3240,557,10,50,5
222,222_0,RUNNING,BoTorch,GenerationStep_1,,,1626,100,50,250,5
223,223_0,RUNNING,BoTorch,GenerationStep_1,,,2659,1000,50,50,3
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.695717884130982344714766441029,51.500942945480346679687500000000,262,314,50,112,2
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.738958858102434890113840992854,85.761428356170654296875000000000,2396,1000,50,88,1
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.682703610411419026249291164277,115.888468742370605468750000000000,2702,869,10,250,3
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.648278757346767431357648092671,39.138739585876464843750000000000,247,100,50,120,3
228,228_0,RUNNING,BoTorch,GenerationStep_1,,,3306,678,10,50,3
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.726112510495382057484903270961,219.369823932647705078125000000000,1251,939,50,50,5
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.644752308984047006745754515578,54.413919687271118164062500000000,2659,597,50,250,1
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.709655751469353446303500732029,154.950115203857421875000000000000,2632,808,50,50,1
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.704450041981528163326231606334,153.610854625701904296875000000000,2906,664,10,50,5
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.653316540722082228498379663506,96.700543642044067382812500000000,3412,1000,50,250,2
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.707388748950461776487941278901,173.326828718185424804687500000000,2898,345,50,50,3
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.694710327455919429695541111869,149.321518421173095703125000000000,3081,101,10,50,5
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.647271200671704405316120300995,39.597666740417480468750000000000,2373,100,50,250,2
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.730814441645675882952559732075,68.322789192199707031250000000000,258,1000,50,73,1
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.681780016792611243126032150030,53.423233032226562500000000000000,2749,759,10,250,5
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.662804366078925233374263825681,84.052024126052856445312500000000,1696,100,10,250,5
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.722586062132661632873009693867,151.405920982360839843750000000000,2449,865,35,50,1
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.741141897565071317011131668551,430.585897207260131835937500000000,1896,909,34,50,1
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.689588581024349278614238301088,126.934675693511962890625000000000,2705,695,32,62,5
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.682199832073887457717376037181,101.126491785049438476562500000000,1590,538,26,185,4
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.710243492863140257753684636555,103.541192293167114257812500000000,506,788,33,75,1
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.731821998320738908994087523752,186.065780401229858398437500000000,2703,926,31,50,1
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.713182199832073870915394309122,102.919258356094360351562500000000,2301,1000,32,67,5
247,247_0,FAILED,BoTorch,GenerationStep_1,,,4000,650,46,50,1
248,248_0,FAILED,BoTorch,GenerationStep_1,,,2837,838,35,50,1
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.675062972292191476597622568079,24.692607641220092773437500000000,2011,837,35,70,1
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.734340890008396307564453309169,360.027990341186523437500000000000,1615,663,35,50,1
251,251_0,FAILED,BoTorch,GenerationStep_1,,,415,735,33,111,2
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.728295549958018484382193946658,127.973975896835327148437500000000,2757,1000,31,50,4
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.737279596977329920726162981737,384.085204601287841796875000000000,3905,652,14,50,1
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.696221662468513802224379105610,119.973476648330688476562500000000,510,826,41,62,1
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.726784214945424000831053490401,177.820286035537719726562500000000,2532,1000,13,50,1
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.693870696893366889490550875053,140.076499462127685546875000000000,2760,846,34,50,3
257,257_0,FAILED,BoTorch,GenerationStep_1,,,3847,768,35,50,1
258,258_0,FAILED,BoTorch,GenerationStep_1,,,2387,1000,43,50,1
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.694290512174643104081894762203,82.792953491210937500000000000000,2619,709,42,154,3
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.679429051217464330392203919473,233.229790687561035156250000000000,1696,173,35,78,1
261,261_0,FAILED,BoTorch,GenerationStep_1,,,1534,816,32,50,1
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.710915197313182201099834855995,428.797314167022705078125000000000,4000,756,16,50,1
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.738706968933669161359034660563,326.565787792205810546875000000000,3743,532,19,50,1
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.727371956339210701258934932412,258.573132038116455078125000000000,3222,609,15,50,1
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.678925272879932872882591254893,531.432709217071533203125000000000,449,889,33,50,3
266,266_0,FAILED,BoTorch,GenerationStep_1,,,3092,973,31,50,1
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.722670025188916875791278471297,162.480338573455810546875000000000,2580,1000,47,50,1
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.740386230058774130746712671680,498.763896465301513671875000000000,4000,498,18,50,1
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.742989084802686772235347234528,321.817734479904174804687500000000,1586,509,34,50,1
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.718052057094878293241890787613,96.453120946884155273437500000000,2732,1000,10,112,5
271,271_0,FAILED,BoTorch,GenerationStep_1,,,2793,1000,10,104,4
272,272_0,RUNNING,BoTorch,GenerationStep_1,,,2692,652,32,239,4
273,273_0,FAILED,BoTorch,GenerationStep_1,,,2939,1000,10,109,5
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.716792611251049538445556663646,94.597431421279907226562500000000,2548,1000,10,95,3
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.734256926952141064646184531739,94.952549219131469726562500000000,2366,1000,50,62,1
276,276_0,FAILED,BoTorch,GenerationStep_1,,,2534,1000,10,116,5
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.721746431570109203690321919566,360.405755043029785156250000000000,4000,563,10,89,1
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.681696053736356000207763372600,112.132218837738037109375000000000,3160,769,10,153,5
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.725356842989084760198181811575,321.512810707092285156250000000000,4000,595,10,72,1
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.706801007556675076060059836891,94.864481210708618164062500000000,2732,1000,50,113,5
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.694626364399664186777272334439,136.615810394287109375000000000000,2932,404,10,109,5
282,282_0,FAILED,BoTorch,GenerationStep_1,,,2979,716,10,113,5
283,283_0,FAILED,BoTorch,GenerationStep_1,,,623,513,10,173,1
284,284_0,RUNNING,BoTorch,GenerationStep_1,,,3225,815,10,149,3
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.667590260285474412782491526741,58.576917886734008789062500000000,2802,541,50,241,5
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.712090680100755712977900202532,85.220182418823242187500000000000,2578,1000,10,110,5
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.670948782535684351557847548975,90.532495498657226562500000000000,1315,520,50,204,5
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.671284634760705323230922658695,58.686961650848388671875000000000,2728,1000,50,239,4
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.675986565910999148698579119809,60.635384798049926757812500000000,2630,1000,10,238,3
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.682787573467674269167559941707,138.395116090774536132812500000000,3600,837,50,153,5
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.603778337531486131162239416881,926.215269565582275390625000000000,3361,103,50,155,4
292,292_0,FAILED,BoTorch,GenerationStep_1,,,3010,1000,50,100,5
293,293_0,FAILED,BoTorch,GenerationStep_1,,,3746,483,10,98,1
294,294_0,FAILED,BoTorch,GenerationStep_1,,,3790,535,10,67,1
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.732409739714525609421968965762,310.052026510238647460937500000000,4000,638,50,82,1
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.687573467674223337553485180251,146.116945028305053710937500000000,1242,348,10,170,1
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.683123425692695240840635051427,186.618403911590576171875000000000,3433,130,10,82,1
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.740386230058774130746712671680,88.447931766510009765625000000000,2341,1000,10,69,1
299,299_0,FAILED,BoTorch,GenerationStep_1,,,3563,430,50,144,3

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start_time,end_time,run_time,program_string,recent_samples_size,n_samples,n_permutations,update_interval,n_consecutive_deviations,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
1741807237,1741807301,64,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 341 n_samples 284 n_permutations 17 update_interval 165 n_consecutive_deviations 1,341,284,17,165,1,0.6614609571788413,49.13319396972656,0,None,i7127,49.13319396972656,813.66015625,785.1819196428571,-1,0,3159635
1741807269,1741807340,71,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2898 n_samples 482 n_permutations 22 update_interval 233 n_consecutive_deviations 4,2898,482,22,233,4,0.7235936188077245,55.49475121498108,0,None,i7020,55.49475121498108,833.30078125,794.10302734375,-1,0,3159643
1741807301,1741807359,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2348 n_samples 754 n_permutations 11 update_interval 206 n_consecutive_deviations 3,2348,754,11,206,3,0.6463476070528967,45.030805349349976,0,None,i7158,45.030805349349976,794.01953125,780.9207589285714,-1,0,3159648
1741807303,1741807392,89,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 921 n_samples 892 n_permutations 27 update_interval 200 n_consecutive_deviations 2,921,892,27,200,2,0.6554995801847188,73.54338765144348,0,None,i7015,73.54338765144348,832.86328125,791.49765625,-1,0,3159653
1741807367,1741807406,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2048 n_samples 251 n_permutations 43 update_interval 184 n_consecutive_deviations 3,2048,251,43,184,3,0.6215785054575986,20.186394929885864,0,None,i7057,20.186394929885864,791.1484375,774.23203125,-1,0,3159674
1741807236,1741807446,210,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3344 n_samples 888 n_permutations 49 update_interval 51 n_consecutive_deviations 4,3344,888,49,51,4,0.7207388748950462,194.59288001060486,0,None,i7180,194.59288001060486,857.4453125,782.4742542613636,-1,0,3159631
1741807342,1741807476,134,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 738 n_samples 507 n_permutations 38 update_interval 216 n_consecutive_deviations 5,738,507,38,216,5,0.6856423173803526,56.57559299468994,0,None,i7014,56.57559299468994,791.671875,756.77001953125,-1,0,3159666
1741807301,1741807492,191,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1364 n_samples 389 n_permutations 43 update_interval 116 n_consecutive_deviations 2,1364,389,43,116,2,0.7130982367758186,179.51324820518494,0,None,i7129,179.51324820518494,891.3203125,808.3109375,-1,0,3159651
1741807365,1741807506,141,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1041 n_samples 778 n_permutations 13 update_interval 94 n_consecutive_deviations 4,1041,778,13,94,4,0.6809403862300588,130.8190598487854,0,None,i7144,130.8190598487854,865.60546875,797.59423828125,-1,0,3159671
1741807332,1741807530,198,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3917 n_samples 137 n_permutations 37 update_interval 85 n_consecutive_deviations 5,3917,137,37,85,5,0.6596977329974811,182.47526812553406,0,None,i7129,182.47526812553406,860.1796875,793.9241071428571,-1,0,3159658
1741807492,1741807550,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 181 n_samples 328 n_permutations 29 update_interval 79 n_consecutive_deviations 3,181,328,29,79,3,0.6838790931989924,45.65330982208252,0,None,i7114,45.65330982208252,799.25,780.1255580357143,-1,0,3159700
1741807492,1741807582,90,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3160 n_samples 703 n_permutations 40 update_interval 193 n_consecutive_deviations 4,3160,703,40,193,4,0.6900923593618807,76.9172306060791,0,None,i7167,76.9172306060791,847.12890625,793.69609375,-1,0,3159696
1741807430,1741807603,173,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3019 n_samples 371 n_permutations 17 update_interval 136 n_consecutive_deviations 1,3019,371,17,136,1,0.6927791771620487,159.07511496543884,0,None,i7015,159.07511496543884,882.44921875,802.2096354166666,-1,0,3159692
1741807533,1741807623,90,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2606 n_samples 185 n_permutations 13 update_interval 123 n_consecutive_deviations 4,2606,185,13,123,4,0.6228379513014274,68.48809385299683,0,None,i7137,68.48809385299683,823.46875,786.0533854166666,-1,0,3159708
1741807492,1741807640,148,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1606 n_samples 957 n_permutations 45 update_interval 212 n_consecutive_deviations 1,1606,957,45,212,1,0.6954659949622166,134.55996966362,0,None,i7009,134.55996966362,874.97265625,802.67578125,-1,0,3159704
1741807557,1741807686,129,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 598 n_samples 626 n_permutations 15 update_interval 56 n_consecutive_deviations 2,598,626,15,56,2,0.6961376994122586,119.47598266601562,0,None,i7129,119.47598266601562,848.015625,781.1978236607143,-1,0,3159720
1741807429,1741807686,257,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1715 n_samples 177 n_permutations 22 update_interval 66 n_consecutive_deviations 3,1715,177,22,66,3,0.682031905961377,244.6695432662964,0,None,i7169,244.6695432662964,874.953125,800.257667824074,-1,0,3159683
1741807589,1741807712,123,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3776 n_samples 933 n_permutations 19 update_interval 244 n_consecutive_deviations 3,3776,933,19,244,3,0.6666666666666666,110.65911889076233,0,None,i7114,110.65911889076233,866.34375,804.5005580357143,-1,0,3159728
1741807655,1741807790,135,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2789 n_samples 588 n_permutations 41 update_interval 88 n_consecutive_deviations 1,2789,588,41,88,1,0.7150293870696893,123.34028887748718,0,None,i7017,123.34028887748718,845.26171875,781.93515625,-1,0,3159747
1741807689,1741807837,148,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1797 n_samples 442 n_permutations 11 update_interval 177 n_consecutive_deviations 5,1797,442,11,177,5,0.670864819479429,136.0525987148285,0,None,i7015,136.0525987148285,886.71875,808.11865234375,-1,0,3159752
1741807655,1741807847,192,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2458 n_samples 436 n_permutations 34 update_interval 72 n_consecutive_deviations 1,2458,436,34,72,1,0.7130982367758186,109.4335687160492,0,None,i7081,109.4335687160492,759.89453125,666.1829927884615,-1,0,3159743
1741807528,1741807993,465,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 40 n_samples 686 n_permutations 47 update_interval 250 n_consecutive_deviations 5,40,686,47,250,5,0.5892527287993283,298.6777546405792,0,None,i7086,298.6777546405792,791.03125,777.1993408203125,-1,0,3159687
1741807638,1741808222,584,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2157 n_samples 823 n_permutations 20 update_interval 138 n_consecutive_deviations 5,2157,823,20,138,5,0.6585222502099076,260.8545286655426,0,None,i7087,260.8545286655426,792.1015625,774.2873883928571,-1,0,3159713
1741818853,1741818904,51,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2302 n_samples 504 n_permutations 41 update_interval 182 n_consecutive_deviations 2,2302,504,41,182,2,0.6631402183039463,38.3527512550354,0,None,i7009,38.3527512550354,790.6015625,757.4772135416666,-1,0,3178018
1741818822,1741818912,90,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 481 n_samples 839 n_permutations 36 update_interval 108 n_consecutive_deviations 3,481,839,36,108,3,0.6792611251049538,76.83557534217834,0,None,i7166,76.83557534217834,844.6796875,791.148046875,-1,0,3178002
1741818822,1741818931,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1823 n_samples 873 n_permutations 28 update_interval 231 n_consecutive_deviations 2,1823,873,28,231,2,0.6602854743912678,97.19426894187927,0,None,i7062,97.19426894187927,868.13671875,802.4407552083334,-1,0,3178010
1741818822,1741818931,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3380 n_samples 561 n_permutations 13 update_interval 175 n_consecutive_deviations 5,3380,561,13,175,5,0.6869857262804366,97.59479784965515,0,None,i7116,97.59479784965515,845.41015625,782.5537109375,-1,0,3178006
1741818888,1741818940,52,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2377 n_samples 482 n_permutations 21 update_interval 231 n_consecutive_deviations 2,2377,482,21,231,2,0.6503778337531486,35.89440560340881,0,None,i7014,35.89440560340881,778.640625,768.4049479166666,-1,0,3178031
1741818826,1741818955,129,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 397 n_samples 468 n_permutations 44 update_interval 60 n_consecutive_deviations 2,397,468,44,60,2,0.7062972292191436,113.47424530982971,0,None,i7104,113.47424530982971,826.74609375,773.529296875,-1,0,3178008
1741818857,1741818955,98,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2366 n_samples 482 n_permutations 39 update_interval 209 n_consecutive_deviations 3,2366,482,39,209,3,0.6693534844668346,60.704662561416626,0,None,i7056,60.704662561416626,795.9140625,779.8893229166666,-1,0,3178016
1741818853,1741818956,103,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2826 n_samples 269 n_permutations 39 update_interval 141 n_consecutive_deviations 3,2826,269,39,141,3,0.6864819479429051,89.776930809021,0,None,i7168,89.776930809021,856.4609375,791.4392755681819,-1,0,3178012
1741818886,1741818958,72,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2596 n_samples 509 n_permutations 50 update_interval 188 n_consecutive_deviations 3,2596,509,50,188,3,0.6439126784214946,57.06981921195984,0,None,i7091,57.06981921195984,824.16796875,789.14697265625,-1,0,3178026
1741818916,1741818969,53,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 155 n_samples 474 n_permutations 50 update_interval 110 n_consecutive_deviations 1,155,474,50,110,1,0.7240134340890009,39.4492347240448,0,None,i7018,39.4492347240448,778.5703125,761.1015625,-1,0,3178038
1741818949,1741818975,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2029 n_samples 483 n_permutations 50 update_interval 249 n_consecutive_deviations 3,2029,483,50,249,3,0.5628043660789253,14.890857934951782,0,None,i7175,14.890857934951782,791.08984375,782.3310546875,-1,0,3178042
1741818950,1741818982,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 67 n_samples 474 n_permutations 50 update_interval 130 n_consecutive_deviations 2,67,474,50,130,2,0.6399664147774979,22.595691442489624,0,None,i7092,22.595691442489624,791.68359375,775.8921875,-1,0,3178051
1741818917,1741818991,74,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2556 n_samples 495 n_permutations 50 update_interval 230 n_consecutive_deviations 3,2556,495,50,230,3,0.6798488664987405,57.572444438934326,0,None,i7124,57.572444438934326,812.9609375,786.39453125,-1,0,3178035
1741818950,1741818995,45,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2371 n_samples 460 n_permutations 50 update_interval 229 n_consecutive_deviations 4,2371,460,50,229,4,0.6583543240973971,35.01340103149414,0,None,i7167,35.01340103149414,795.22265625,780.8424479166666,-1,0,3178044
1741818885,1741818995,110,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1140 n_samples 487 n_permutations 37 update_interval 219 n_consecutive_deviations 4,1140,487,37,219,4,0.6858102434928631,96.34217977523804,0,None,i7032,96.34217977523804,834.171875,785.7454427083334,-1,0,3178028
1741818950,1741819008,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2370 n_samples 398 n_permutations 10 update_interval 207 n_consecutive_deviations 3,2370,398,10,207,3,0.664399664147775,45.438687324523926,0,None,i7062,45.438687324523926,806.54296875,785.0128348214286,-1,0,3178053
1741818949,1741819027,78,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 598 n_samples 487 n_permutations 10 update_interval 225 n_consecutive_deviations 1,598,487,10,225,1,0.6655751469353485,67.9732518196106,0,None,i7124,67.9732518196106,824.73828125,785.9118923611111,-1,0,3178048
1741818980,1741819032,52,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 284 n_samples 527 n_permutations 14 update_interval 127 n_consecutive_deviations 4,284,527,14,127,4,0.663727959697733,41.3959105014801,0,None,i7009,41.3959105014801,791.953125,779.1646205357143,-1,0,3178066
1741818951,1741819034,83,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 618 n_samples 474 n_permutations 17 update_interval 161 n_consecutive_deviations 3,618,474,17,161,3,0.7188916876574307,69.58547306060791,0,None,i7014,69.58547306060791,820.38671875,774.0815972222222,-1,0,3178055
1741818985,1741819069,84,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2549 n_samples 512 n_permutations 50 update_interval 205 n_consecutive_deviations 2,2549,512,50,205,2,0.663056255247691,64.36244559288025,0,None,i7104,64.36244559288025,806.02734375,773.6471354166666,-1,0,3178061
1741818985,1741819174,189,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1632 n_samples 466 n_permutations 43 update_interval 227 n_consecutive_deviations 3,1632,466,43,227,3,0.6860621326616289,166.29649090766907,0,None,i7056,166.29649090766907,858.5859375,796.3034539473684,-1,0,3178063
1741819106,1741819677,571,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2296 n_samples 515 n_permutations 50 update_interval 160 n_consecutive_deviations 2,2296,515,50,160,2,0.6888329135180521,287.2264747619629,0,None,i7106,287.2264747619629,790.40625,769.8802923387096,-1,0,3178059
1741826076,1741826115,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2171 n_samples 514 n_permutations 27 update_interval 191 n_consecutive_deviations 2,2171,514,27,191,2,0.6641477749790092,26.86285138130188,0,None,i7027,26.86285138130188,791.79296875,778.671875,-1,0,3180749
1741826076,1741826115,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2191 n_samples 492 n_permutations 26 update_interval 191 n_consecutive_deviations 5,2191,492,26,191,5,0.6681780016792611,27.946521997451782,0,None,i7014,27.946521997451782,778.76171875,766.78359375,-1,0,3180754
1741826106,1741826132,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 10 n_samples 523 n_permutations 33 update_interval 91 n_consecutive_deviations 5,10,523,33,91,5,0.6054575986565911,12.18372654914856,0,None,i7177,12.18372654914856,791.359375,778.806640625,-1,0,3180758
1741826078,1741826135,57,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 183 n_samples 544 n_permutations 34 update_interval 89 n_consecutive_deviations 1,183,544,34,89,1,0.6962216624685138,42.827919006347656,0,None,i7023,42.827919006347656,791.02734375,776.1707589285714,-1,0,3180751
1741826109,1741826141,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 10 n_samples 1000 n_permutations 50 update_interval 84 n_consecutive_deviations 1,10,1000,50,84,1,0.6433249370277078,18.519067525863647,0,None,i7136,18.519067525863647,791.00390625,780.6201171875,-1,0,3180764
1741826108,1741826153,45,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2125 n_samples 1000 n_permutations 50 update_interval 192 n_consecutive_deviations 1,2125,1000,50,192,1,0.646431570109152,30.520246982574463,0,None,i7134,30.520246982574463,791.4453125,773.1490885416666,-1,0,3180766
1741826109,1741826154,45,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 180 n_samples 547 n_permutations 30 update_interval 146 n_consecutive_deviations 1,180,547,30,146,1,0.6596977329974811,34.17340159416199,0,None,i7111,34.17340159416199,790.54296875,777.5755208333334,-1,0,3180769
1741826141,1741826173,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 10 n_samples 1000 n_permutations 50 update_interval 74 n_consecutive_deviations 5,10,1000,50,74,5,0.6227539882451721,17.873255968093872,0,None,i7014,17.873255968093872,778.671875,766.3916015625,-1,0,3180781
1741826138,1741826177,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2258 n_samples 545 n_permutations 20 update_interval 245 n_consecutive_deviations 5,2258,545,20,245,5,0.6596977329974811,28.68776798248291,0,None,i7163,28.68776798248291,791.26171875,778.0671875,-1,0,3180775
1741826108,1741826217,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 481 n_samples 626 n_permutations 38 update_interval 83 n_consecutive_deviations 1,481,626,38,83,1,0.7134340890008396,96.27907109260559,0,None,i7014,96.27907109260559,839.60546875,781.2942708333334,-1,0,3180772
1741826171,1741826222,51,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2447 n_samples 271 n_permutations 16 update_interval 250 n_consecutive_deviations 5,2447,271,16,250,5,0.6541561712846348,40.08456897735596,0,None,i7023,40.08456897735596,806.99609375,783.8352864583334,-1,0,3180799
1741826171,1741826223,52,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2158 n_samples 372 n_permutations 26 update_interval 192 n_consecutive_deviations 1,2158,372,26,192,1,0.6492863140218303,35.85406994819641,0,None,i7177,35.85406994819641,791.42578125,772.9485677083334,-1,0,3180784
1741826202,1741826228,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 10 n_samples 635 n_permutations 42 update_interval 73 n_consecutive_deviations 1,10,635,42,73,1,0.6283795130142737,15.910375118255615,0,None,i7163,15.910375118255615,790.80859375,779.91796875,-1,0,3180802
1741826170,1741826240,70,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2388 n_samples 541 n_permutations 32 update_interval 101 n_consecutive_deviations 5,2388,541,32,101,5,0.6740554156171285,57.666003704071045,0,None,i7163,57.666003704071045,821.01171875,788.62109375,-1,0,3180787
1741826107,1741826253,146,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2576 n_samples 595 n_permutations 41 update_interval 50 n_consecutive_deviations 1,2576,595,41,50,1,0.7386230058774139,134.52421760559082,0,None,i7163,134.52421760559082,852.62890625,785.919189453125,-1,0,3180761
1741826172,1741826276,104,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2347 n_samples 556 n_permutations 36 update_interval 50 n_consecutive_deviations 3,2347,556,36,50,3,0.6727120067170445,90.35566711425781,0,None,i7079,90.35566711425781,815.83203125,782.3990885416666,-1,0,3180794
1741826266,1741826292,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 10 n_samples 464 n_permutations 29 update_interval 150 n_consecutive_deviations 5,10,464,29,150,5,0.5607892527287993,11.980207681655884,0,None,i7163,11.980207681655884,791.38671875,783.4580078125,-1,0,3180824
1741826235,1741826312,77,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 336 n_samples 537 n_permutations 37 update_interval 89 n_consecutive_deviations 5,336,537,37,89,5,0.6950461796809404,65.63964438438416,0,None,i7177,65.63964438438416,810.43359375,780.4596354166666,-1,0,3180809
1741826267,1741826338,71,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2241 n_samples 633 n_permutations 42 update_interval 95 n_consecutive_deviations 1,2241,633,42,95,1,0.7052057094878253,54.0840265750885,0,None,i7024,54.0840265750885,806.58984375,781.5205078125,-1,0,3180832
1741826268,1741826370,102,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 582 n_samples 508 n_permutations 27 update_interval 80 n_consecutive_deviations 5,582,508,27,80,5,0.710495382031906,87.73178339004517,0,None,i7122,87.73178339004517,828.9765625,778.5355113636364,-1,0,3180828
1741826236,1741826396,160,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 531 n_permutations 29 update_interval 166 n_consecutive_deviations 2,4000,531,29,166,2,0.6743912678421494,144.75916981697083,0,None,i7014,144.75916981697083,858.12109375,789.6937040441177,-1,0,3180818
1741826266,1741826431,165,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 625 n_permutations 28 update_interval 140 n_consecutive_deviations 5,4000,625,28,140,5,0.6913518052057095,153.0307638645172,0,None,i7163,153.0307638645172,895.80078125,810.87109375,-1,0,3180826
1741826235,1741826434,199,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 1000 n_permutations 50 update_interval 152 n_consecutive_deviations 1,4000,1000,50,152,1,0.7123425692695214,189.6728012561798,0,None,i7111,189.6728012561798,888.98046875,810.7470238095239,-1,0,3180816
1741826172,1741826443,271,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 1000 n_permutations 50 update_interval 128 n_consecutive_deviations 1,4000,1000,50,128,1,0.7041141897565072,254.35810041427612,0,None,i7135,254.35810041427612,903.375,818.3853236607143,-1,0,3180790
1741826142,1741826475,333,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 595 n_permutations 39 update_interval 50 n_consecutive_deviations 2,4000,595,39,50,2,0.7204030226700252,320.8040726184845,0,None,i7027,320.8040726184845,912.3046875,812.8972098214285,-1,0,3180778
1741826402,1741826843,441,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 10 n_samples 489 n_permutations 28 update_interval 121 n_consecutive_deviations 1,10,489,28,121,1,0.6104114189756508,220.40402364730835,0,None,i7048,220.40402364730835,790.91796875,777.36083984375,-1,0,3180830
1741826371,1741827364,993,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 542 n_permutations 31 update_interval 123 n_consecutive_deviations 5,4000,542,31,123,5,0.6961376994122586,784.5575380325317,0,None,i7159,784.5575380325317,825.4296875,774.7842399691358,-1,0,3180813
1741826308,1741827520,1212,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2595 n_samples 565 n_permutations 33 update_interval 114 n_consecutive_deviations 1,2595,565,33,114,1,0.727120067170445,992.0798447132111,0,None,i7068,992.0798447132111,813.6875,761.4004486386139,-1,0,3180796
1741826345,1741827906,1561,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3294 n_samples 473 n_permutations 26 update_interval 220 n_consecutive_deviations 5,3294,473,26,220,5,0.6792611251049538,1347.4634029865265,0,None,i7051,1347.4634029865265,837.12890625,793.5014541514598,-1,0,3180805
1741831211,1741831231,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 10 n_samples 100 n_permutations 10 update_interval 50 n_consecutive_deviations 1,10,100,10,50,1,0.6036104114189756,10.585102319717407,0,None,i7163,10.585102319717407,790.6015625,779.59765625,-1,0,3184748
1741831242,1741831261,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 10 n_samples 100 n_permutations 10 update_interval 50 n_consecutive_deviations 5,10,100,10,50,5,0.5932829554995802,9.049949884414673,0,None,i7163,9.049949884414673,790.765625,783.5260416666666,-1,0,3184774
1741831274,1741831300,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 10 n_samples 111 n_permutations 50 update_interval 50 n_consecutive_deviations 1,10,111,50,50,1,0.6047858942065492,10.686228513717651,0,None,i7180,10.686228513717651,778.55859375,765.4541015625,-1,0,3184790
1741831274,1741831313,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2040 n_samples 1000 n_permutations 50 update_interval 50 n_consecutive_deviations 5,2040,1000,50,50,5,0.6780016792611251,25.809446334838867,0,None,i7017,25.809446334838867,791.625,774.81328125,-1,0,3184805
1741831318,1741831337,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 10 n_samples 100 n_permutations 43 update_interval 175 n_consecutive_deviations 1,10,100,43,175,1,0.5962216624685138,7.518453121185303,0,None,i7154,7.518453121185303,790.96484375,784.8723958333334,-1,0,3184814
1741831181,1741831365,184,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2731 n_samples 673 n_permutations 10 update_interval 50 n_consecutive_deviations 1,2731,673,10,50,1,0.718639798488665,171.6416482925415,0,None,i7163,171.6416482925415,865.8203125,790.2814453125,-1,0,3184726
1741831181,1741831373,192,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1050 n_samples 137 n_permutations 50 update_interval 50 n_consecutive_deviations 1,1050,137,50,50,1,0.692863140218304,181.49888849258423,0,None,i7114,181.49888849258423,860.4765625,791.0591517857143,-1,0,3184735
1741831215,1741831420,205,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2775 n_samples 1000 n_permutations 10 update_interval 50 n_consecutive_deviations 1,2775,1000,10,50,1,0.729806884970613,189.68957781791687,0,None,i7149,189.68957781791687,869.58984375,792.0920758928571,-1,0,3184751
1741831220,1741831444,224,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1419 n_samples 499 n_permutations 50 update_interval 50 n_consecutive_deviations 5,1419,499,50,50,5,0.710159529806885,208.1820149421692,0,None,i7184,208.1820149421692,866.2890625,782.9478600543479,-1,0,3184743
1741831249,1741831460,211,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 864 n_samples 567 n_permutations 50 update_interval 50 n_consecutive_deviations 1,864,567,50,50,1,0.7201511335012595,197.79032254219055,0,None,i7081,197.79032254219055,878.16796875,793.5422585227273,-1,0,3184779
1741831338,1741831478,140,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 1000 n_permutations 10 update_interval 250 n_consecutive_deviations 1,4000,1000,10,250,1,0.6661628883291352,129.15097284317017,0,None,i7184,129.15097284317017,864.54296875,796.0059895833333,-1,0,3184830
1741831277,1741831479,202,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 617 n_samples 815 n_permutations 10 update_interval 50 n_consecutive_deviations 5,617,815,10,50,5,0.6821998320738875,184.12219333648682,0,None,i7056,184.12219333648682,859.3984375,793.7349330357143,-1,0,3184801
1741831305,1741831505,200,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1603 n_samples 1000 n_permutations 10 update_interval 250 n_consecutive_deviations 1,1603,1000,10,250,1,0.6544080604534005,159.1174247264862,0,None,i7032,159.1174247264862,858.78515625,800.046875,-1,0,3184826
1741831307,1741831518,211,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1675 n_samples 100 n_permutations 50 update_interval 50 n_consecutive_deviations 5,1675,100,50,50,5,0.6546599496221662,199.1878788471222,0,None,i7124,199.1878788471222,866.66796875,796.9561434659091,-1,0,3184818
1741831182,1741831528,346,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1721 n_samples 562 n_permutations 50 update_interval 50 n_consecutive_deviations 1,1721,562,50,50,1,0.7235936188077245,330.7336802482605,0,None,i7135,330.7336802482605,914.390625,817.0234375,-1,0,3184729
1741831246,1741831586,340,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 1000 n_permutations 10 update_interval 50 n_consecutive_deviations 5,4000,1000,10,50,5,0.7183879093198993,324.87118315696716,0,None,i7177,324.87118315696716,888.625,808.00078125,-1,0,3184767
1741831247,1741831600,353,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1894 n_samples 100 n_permutations 10 update_interval 50 n_consecutive_deviations 1,1894,100,10,50,1,0.7020151133501259,338.7169108390808,0,None,i7016,338.7169108390808,879.01953125,798.6006944444445,-1,0,3184787
1741831184,1741831606,422,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 1000 n_permutations 10 update_interval 50 n_consecutive_deviations 1,4000,1000,10,50,1,0.7287153652392947,409.5999450683594,0,None,i7124,409.5999450683594,909.84765625,811.0572311046511,-1,0,3184732
1741831273,1741831617,344,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 100 n_permutations 10 update_interval 50 n_consecutive_deviations 1,4000,100,10,50,1,0.7045340050377834,332.53116106987,0,None,i7163,332.53116106987,862.7890625,795.0387369791666,-1,0,3184795
1741831213,1741831617,404,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 503 n_permutations 10 update_interval 50 n_consecutive_deviations 1,4000,503,10,50,1,0.7574307304785894,387.53124260902405,0,None,i7024,387.53124260902405,907.5,812.3144054878048,-1,0,3184759
1741831217,1741831707,490,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 283 n_permutations 50 update_interval 50 n_consecutive_deviations 1,4000,283,50,50,1,0.7420654911838791,475.6394019126892,0,None,i7015,475.6394019126892,885.16796875,803.07796875,-1,0,3184763
1741831189,1741831709,520,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1508 n_samples 494 n_permutations 10 update_interval 50 n_consecutive_deviations 1,1508,494,10,50,1,0.7348446683459278,496.529509305954,0,None,i7056,496.529509305954,902.9453125,810.2996544471154,-1,0,3184738
1741831275,1741831713,438,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1903 n_samples 756 n_permutations 10 update_interval 50 n_consecutive_deviations 1,1903,756,10,50,1,0.7321578505457599,426.27335143089294,0,None,i7081,426.27335143089294,904.859375,815.4969618055555,-1,0,3184799
1741831307,1741831757,450,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 743 n_permutations 50 update_interval 50 n_consecutive_deviations 1,4000,743,50,50,1,0.717632241813602,435.14901852607727,0,None,i7064,435.14901852607727,915.2734375,816.7163722826087,-1,0,3184823
1741831465,1741831967,502,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 10 n_samples 531 n_permutations 10 update_interval 50 n_consecutive_deviations 1,10,531,10,50,1,0.6429890848026868,240.81639218330383,0,None,i7051,240.81639218330383,804.30078125,777.2842548076923,-1,0,3184783
1741835839,1741835924,85,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 593 n_samples 100 n_permutations 50 update_interval 143 n_consecutive_deviations 3,593,100,50,143,3,0.6429890848026868,70.02739930152893,0,None,i7025,70.02739930152893,810.12890625,781.3450520833334,-1,0,3187991
1741835845,1741835928,83,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2934 n_samples 100 n_permutations 50 update_interval 250 n_consecutive_deviations 2,2934,100,50,250,2,0.6443324937027708,66.86219048500061,0,None,i7015,66.86219048500061,830.50390625,789.0277777777778,-1,0,3187999
1741835839,1741835930,91,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2867 n_samples 981 n_permutations 38 update_interval 250 n_consecutive_deviations 2,2867,981,38,250,2,0.6769101595298069,78.87866306304932,0,None,i7039,78.87866306304932,823.09375,788.579296875,-1,0,3187987
1741835841,1741835931,90,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 683 n_samples 233 n_permutations 50 update_interval 116 n_consecutive_deviations 3,683,233,50,116,3,0.6905121746431571,76.88748860359192,0,None,i7064,76.88748860359192,834.1015625,788.767578125,-1,0,3187979
1741835839,1741835937,98,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 741 n_samples 100 n_permutations 10 update_interval 100 n_consecutive_deviations 4,741,100,10,100,4,0.6347607052896725,81.96319127082825,0,None,i7053,81.96319127082825,818.1171875,785.1065340909091,-1,0,3187984
1741835870,1741835946,76,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 696 n_samples 100 n_permutations 10 update_interval 140 n_consecutive_deviations 3,696,100,10,140,3,0.6709487825356844,65.61040711402893,0,None,i7163,65.61040711402893,816.55859375,783.5694444444445,-1,0,3188016
1741835841,1741835950,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 764 n_samples 100 n_permutations 50 update_interval 68 n_consecutive_deviations 4,764,100,50,68,4,0.6580184718723762,99.09006953239441,0,None,i7016,99.09006953239441,828.08203125,790.5859375,-1,0,3187997
1741835845,1741835954,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 683 n_samples 658 n_permutations 50 update_interval 119 n_consecutive_deviations 3,683,658,50,119,3,0.705793450881612,98.72565817832947,0,None,i7015,98.72565817832947,838.89453125,782.4326171875,-1,0,3188001
1741835870,1741835954,84,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 825 n_samples 150 n_permutations 50 update_interval 104 n_consecutive_deviations 5,825,150,50,104,5,0.61696053736356,71.12447261810303,0,None,i7135,71.12447261810303,816.71484375,784.403125,-1,0,3188029
1741835870,1741835954,84,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1283 n_samples 100 n_permutations 10 update_interval 250 n_consecutive_deviations 3,1283,100,10,250,3,0.6653232577665827,69.63869738578796,0,None,i7166,69.63869738578796,846.8828125,790.3151041666666,-1,0,3188013
1741835871,1741835954,83,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 664 n_samples 197 n_permutations 50 update_interval 127 n_consecutive_deviations 1,664,197,50,127,1,0.6983207388748951,72.97231149673462,0,None,i7081,72.97231149673462,834.72265625,789.7359375,-1,0,3188045
1741835870,1741835959,89,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 833 n_samples 100 n_permutations 10 update_interval 130 n_consecutive_deviations 3,833,100,10,130,3,0.6641477749790092,76.81632232666016,0,None,i7163,76.81632232666016,826.06640625,787.297265625,-1,0,3188022
1741835870,1741835971,101,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2873 n_samples 1000 n_permutations 10 update_interval 166 n_consecutive_deviations 3,2873,1000,10,166,3,0.6865659109991604,91.14880323410034,0,None,i7163,91.14880323410034,841.82421875,795.3909505208334,-1,0,3188019
1741835870,1741835973,103,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 687 n_samples 100 n_permutations 50 update_interval 70 n_consecutive_deviations 2,687,100,50,70,2,0.653904282115869,90.39618062973022,0,None,i7017,90.39618062973022,825.30078125,786.8743489583334,-1,0,3188057
1741835870,1741835980,110,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1365 n_samples 100 n_permutations 50 update_interval 250 n_consecutive_deviations 2,1365,100,50,250,2,0.628127623845508,94.88978910446167,0,None,i7186,94.88978910446167,850.99609375,793.646484375,-1,0,3188005
1741835871,1741836012,141,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2597 n_samples 1000 n_permutations 32 update_interval 69 n_consecutive_deviations 1,2597,1000,32,69,1,0.7261964735516373,128.28453540802002,0,None,i7175,128.28453540802002,827.7890625,771.3078125,-1,0,3188010
1741835839,1741836019,180,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2631 n_samples 1000 n_permutations 50 update_interval 70 n_consecutive_deviations 2,2631,1000,50,70,2,0.7214945424013434,140.16027879714966,0,None,i7054,140.16027879714966,792.17578125,730.315185546875,-1,0,3187982
1741835874,1741836022,148,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1358 n_samples 1000 n_permutations 10 update_interval 147 n_consecutive_deviations 4,1358,1000,10,147,4,0.6534844668345928,136.88704562187195,0,None,i7137,136.88704562187195,869.41015625,799.2431640625,-1,0,3188026
1741835875,1741836032,157,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1291 n_samples 1000 n_permutations 50 update_interval 250 n_consecutive_deviations 2,1291,1000,50,250,2,0.6510495382031906,137.1340913772583,0,None,i7056,137.1340913772583,839.4296875,792.188232421875,-1,0,3188051
1741835839,1741836032,193,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1517 n_samples 1000 n_permutations 50 update_interval 105 n_consecutive_deviations 3,1517,1000,50,105,3,0.6964735516372796,181.1211862564087,0,None,i7024,181.1211862564087,890.0078125,807.2470238095239,-1,0,3187993
1741835870,1741836036,166,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1497 n_samples 672 n_permutations 10 update_interval 126 n_consecutive_deviations 3,1497,672,10,126,3,0.667086481947943,155.70579409599304,0,None,i7122,155.70579409599304,878.51171875,801.9194878472222,-1,0,3188033
1741835870,1741836075,205,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1330 n_samples 100 n_permutations 10 update_interval 50 n_consecutive_deviations 4,1330,100,10,50,4,0.6693534844668346,192.7336494922638,0,None,i7092,192.7336494922638,870.0546875,798.1917613636364,-1,0,3188042
1741835869,1741836087,218,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1564 n_samples 1000 n_permutations 10 update_interval 82 n_consecutive_deviations 2,1564,1000,10,82,2,0.7120067170445005,204.26979327201843,0,None,i7114,204.26979327201843,884.87109375,805.1467391304348,-1,0,3188036
1741835870,1741836094,224,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1711 n_samples 1000 n_permutations 50 update_interval 108 n_consecutive_deviations 3,1711,1000,50,108,3,0.6944584382871537,208.7602436542511,0,None,i7074,208.7602436542511,879.3515625,795.6744225543479,-1,0,3188048
1741835839,1741836098,259,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1606 n_samples 934 n_permutations 30 update_interval 88 n_consecutive_deviations 3,1606,934,30,88,3,0.7029387069689337,244.21411776542664,0,None,i7055,244.21411776542664,898.3671875,808.5124421296297,-1,0,3187981
1741835839,1741836130,291,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1400 n_samples 905 n_permutations 10 update_interval 75 n_consecutive_deviations 3,1400,905,10,75,3,0.717968094038623,272.9793908596039,0,None,i7026,272.9793908596039,886.1015625,807.592578125,-1,0,3187989
1741835870,1741836135,265,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1541 n_samples 844 n_permutations 50 update_interval 104 n_consecutive_deviations 1,1541,844,50,104,1,0.7041981528127624,251.60122108459473,0,None,i7101,251.60122108459473,901.8828125,811.3650948660714,-1,0,3188039
1741835839,1741836136,297,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1723 n_samples 1000 n_permutations 22 update_interval 90 n_consecutive_deviations 1,1723,1000,22,90,1,0.7162048698572628,286.6097719669342,0,None,i7022,286.6097719669342,905.94921875,813.6474294354839,-1,0,3187995
1741835870,1741836160,290,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1666 n_samples 1000 n_permutations 10 update_interval 50 n_consecutive_deviations 4,1666,1000,10,50,4,0.6980688497061293,278.2967689037323,0,None,i7183,278.2967689037323,888.96875,796.825,-1,0,3188007
1741839188,1741839252,64,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 620 n_samples 477 n_permutations 50 update_interval 250 n_consecutive_deviations 3,620,477,50,250,3,0.6594458438287154,50.012110471725464,0,None,i7163,50.012110471725464,815.83203125,784.171875,-1,0,3191522
1741839158,1741839254,96,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 617 n_samples 512 n_permutations 50 update_interval 103 n_consecutive_deviations 2,617,512,50,103,2,0.7222502099076407,84.4470419883728,0,None,i7017,84.4470419883728,836.734375,788.6921164772727,-1,0,3191501
1741839190,1741839267,77,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 800 n_samples 381 n_permutations 10 update_interval 250 n_consecutive_deviations 3,800,381,10,250,3,0.671536523929471,61.19416308403015,0,None,i7166,61.19416308403015,839.4296875,797.1614583333334,-1,0,3191519
1741839189,1741839278,89,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 825 n_samples 404 n_permutations 50 update_interval 250 n_consecutive_deviations 1,825,404,50,250,1,0.6753148614609572,75.25685667991638,0,None,i7172,75.25685667991638,859.22265625,797.1796875,-1,0,3191510
1741839194,1741839279,85,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 642 n_samples 460 n_permutations 50 update_interval 198 n_consecutive_deviations 2,642,460,50,198,2,0.6848026868178002,69.39184784889221,0,None,i7186,69.39184784889221,827.02734375,787.0811631944445,-1,0,3191504
1741839189,1741839286,97,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 629 n_samples 491 n_permutations 50 update_interval 149 n_consecutive_deviations 2,629,491,50,149,2,0.7089000839630563,83.85164856910706,0,None,i7169,83.85164856910706,830.78125,785.3899147727273,-1,0,3191516
1741839219,1741839296,77,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 560 n_samples 496 n_permutations 50 update_interval 151 n_consecutive_deviations 3,560,496,50,151,3,0.6905121746431571,65.87998700141907,0,None,i7059,65.87998700141907,828.9453125,785.2217881944445,-1,0,3191549
1741839188,1741839309,121,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 600 n_samples 503 n_permutations 50 update_interval 82 n_consecutive_deviations 1,600,503,50,82,1,0.717968094038623,106.18130779266357,0,None,i7172,106.18130779266357,840.33203125,783.9807692307693,-1,0,3191513
1741839249,1741839313,64,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 442 n_samples 564 n_permutations 50 update_interval 182 n_consecutive_deviations 3,442,564,50,182,3,0.646431570109152,48.89494872093201,0,None,i7163,48.89494872093201,816.27734375,788.1869419642857,-1,0,3191565
1741839249,1741839313,64,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 644 n_samples 260 n_permutations 50 update_interval 250 n_consecutive_deviations 2,644,260,50,250,2,0.6832913518052057,55.429062604904175,0,None,i7172,55.429062604904175,824.3671875,789.158203125,-1,0,3191562
1741839219,1741839328,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 713 n_samples 524 n_permutations 50 update_interval 133 n_consecutive_deviations 1,713,524,50,133,1,0.7204869857262804,86.5057065486908,0,None,i7055,86.5057065486908,839.8125,786.7073863636364,-1,0,3191551
1741839220,1741839336,116,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3030 n_samples 618 n_permutations 10 update_interval 250 n_consecutive_deviations 1,3030,618,10,250,1,0.6214945424013434,94.12624144554138,0,None,i7183,94.12624144554138,847.7421875,796.3447265625,-1,0,3191534
1741839220,1741839350,130,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3138 n_samples 685 n_permutations 50 update_interval 250 n_consecutive_deviations 1,3138,685,50,250,1,0.6443324937027708,116.957346200943,0,None,i7032,116.957346200943,856.08203125,796.3253348214286,-1,0,3191554
1741839224,1741839351,127,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 566 n_samples 548 n_permutations 50 update_interval 50 n_consecutive_deviations 3,566,548,50,50,3,0.6906801007556675,112.98347187042236,0,None,i7163,112.98347187042236,838.5625,782.2232142857143,-1,0,3191538
1741839225,1741839353,128,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2899 n_samples 826 n_permutations 50 update_interval 97 n_consecutive_deviations 2,2899,826,50,97,2,0.6922753988245172,118.39823365211487,0,None,i7009,118.39823365211487,860.41796875,791.0627790178571,-1,0,3191558
1741839282,1741839359,77,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 619 n_samples 482 n_permutations 50 update_interval 185 n_consecutive_deviations 1,619,482,50,185,1,0.6829554995801848,62.88854432106018,0,None,i7166,62.88854432106018,825.34765625,788.6310763888889,-1,0,3191576
1741839285,1741839394,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2834 n_samples 710 n_permutations 10 update_interval 153 n_consecutive_deviations 1,2834,710,10,153,1,0.7154492023509655,94.45296573638916,0,None,i7137,94.45296573638916,855.234375,790.7233072916666,-1,0,3191582
1741839189,1741839395,206,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3408 n_samples 739 n_permutations 10 update_interval 120 n_consecutive_deviations 1,3408,739,10,120,1,0.7177162048698572,190.2927782535553,0,None,i7111,190.2927782535553,817.22265625,778.4572088068181,-1,0,3191530
1741839250,1741839413,163,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3005 n_samples 758 n_permutations 50 update_interval 136 n_consecutive_deviations 1,3005,758,50,136,1,0.6856423173803526,146.26085257530212,0,None,i7101,146.26085257530212,859.453125,793.8878676470588,-1,0,3191568
1741839280,1741839420,140,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 100 n_permutations 50 update_interval 250 n_consecutive_deviations 1,4000,100,50,250,1,0.6591099916036943,130.76038670539856,0,None,i7163,130.76038670539856,870.69140625,802.38671875,-1,0,3191580
1741839219,1741839469,250,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3142 n_samples 1000 n_permutations 50 update_interval 69 n_consecutive_deviations 1,3142,1000,50,69,1,0.7246851385390428,235.44569873809814,0,None,i7127,235.44569873809814,884.05078125,804.0540865384615,-1,0,3191544
1741839240,1741839522,282,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1491 n_samples 643 n_permutations 50 update_interval 50 n_consecutive_deviations 3,1491,643,50,50,3,0.6991603694374475,269.2747058868408,0,None,i7154,269.2747058868408,899.21875,805.2714170258621,-1,0,3191541
1741839253,1741839523,270,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1381 n_samples 527 n_permutations 50 update_interval 69 n_consecutive_deviations 1,1381,527,50,69,1,0.7195633921074727,257.97736263275146,0,None,i7023,257.97736263275146,883.38671875,798.7098214285714,-1,0,3191572
1741839189,1741839542,353,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1464 n_samples 672 n_permutations 50 update_interval 50 n_consecutive_deviations 1,1464,672,50,50,1,0.728127623845508,343.28303146362305,0,None,i7176,343.28303146362305,904.18359375,809.6112753378378,-1,0,3191507
1741839188,1741839551,363,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3562 n_samples 622 n_permutations 50 update_interval 51 n_consecutive_deviations 1,3562,622,50,51,1,0.7235936188077245,350.7811439037323,0,None,i7163,350.7811439037323,908.70703125,815.0708264802631,-1,0,3191526
1741839284,1741839592,308,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3696 n_samples 803 n_permutations 10 update_interval 50 n_consecutive_deviations 3,3696,803,10,50,3,0.7040302267002518,290.7213816642761,0,None,i7177,290.7213816642761,901.38671875,811.4713134765625,-1,0,3191574
1741839346,1741839974,628,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 437 n_samples 535 n_permutations 50 update_interval 50 n_consecutive_deviations 5,437,535,50,50,5,0.697649034424853,418.89525270462036,0,None,i7001,418.89525270462036,815.33984375,774.9794034090909,-1,0,3191559
1741842913,1741842939,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 10 n_samples 1000 n_permutations 50 update_interval 250 n_consecutive_deviations 2,10,1000,50,250,2,0.5989084802686818,15.093684911727905,0,None,i7113,15.093684911727905,778.71484375,772.1787109375,-1,0,3195564
1741842877,1741842947,70,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 403 n_samples 458 n_permutations 10 update_interval 129 n_consecutive_deviations 2,403,458,10,129,2,0.7183879093198993,56.98820352554321,0,None,i7116,56.98820352554321,801.90234375,770.7265625,-1,0,3195519
1741842877,1741842948,71,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 317 n_samples 559 n_permutations 50 update_interval 90 n_consecutive_deviations 3,317,559,50,90,3,0.6884970612930311,58.23027515411377,0,None,i7112,58.23027515411377,807.28515625,780.2353515625,-1,0,3195522
1741842877,1741842954,77,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2577 n_samples 1000 n_permutations 10 update_interval 250 n_consecutive_deviations 2,2577,1000,10,250,2,0.6831234256926952,64.75389671325684,0,None,i7081,64.75389671325684,801.20703125,781.4895833333334,-1,0,3195527
1741842907,1741842959,52,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 217 n_samples 492 n_permutations 10 update_interval 131 n_consecutive_deviations 3,217,492,10,131,3,0.7016792611251049,41.71279764175415,0,None,i7090,41.71279764175415,795.421875,779.3744419642857,-1,0,3195569
1741842908,1741842965,57,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 121 n_samples 543 n_permutations 50 update_interval 50 n_consecutive_deviations 3,121,543,50,50,3,0.6673383711167087,43.49063014984131,0,None,i7114,43.49063014984131,790.7265625,778.5892857142857,-1,0,3195562
1741842877,1741842980,103,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1326 n_samples 390 n_permutations 10 update_interval 250 n_consecutive_deviations 5,1326,390,10,250,5,0.6890848026868178,92.70113492012024,0,None,i7140,92.70113492012024,864.74609375,801.8509114583334,-1,0,3195512
1741842912,1741842981,69,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 218 n_samples 562 n_permutations 10 update_interval 50 n_consecutive_deviations 3,218,562,10,50,3,0.6947103274559194,53.858572006225586,0,None,i7172,53.858572006225586,792.0078125,776.7685546875,-1,0,3195538
1741842907,1741842991,84,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 992 n_samples 266 n_permutations 50 update_interval 250 n_consecutive_deviations 5,992,266,50,250,5,0.6639798488664987,68.36900782585144,0,None,i7136,68.36900782585144,831.671875,785.5516493055555,-1,0,3195556
1741842907,1741842995,88,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 456 n_samples 497 n_permutations 50 update_interval 116 n_consecutive_deviations 1,456,497,50,116,1,0.7225020990764064,70.89586234092712,0,None,i7172,70.89586234092712,825.66015625,784.541796875,-1,0,3195541
1741842908,1741842997,89,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2230 n_samples 994 n_permutations 50 update_interval 50 n_consecutive_deviations 1,2230,994,50,50,1,0.7370277078085642,76.6257574558258,0,None,i7124,76.6257574558258,815.26171875,782.029296875,-1,0,3195559
1741842907,1741843002,95,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 587 n_samples 458 n_permutations 10 update_interval 147 n_consecutive_deviations 1,587,458,10,147,1,0.7211586901763224,81.54633951187134,0,None,i7163,81.54633951187134,832.7265625,786.6512784090909,-1,0,3195549
1741842876,1741843003,127,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 695 n_samples 473 n_permutations 10 update_interval 102 n_consecutive_deviations 1,695,473,10,102,1,0.7031905961376994,114.99664807319641,0,None,i7163,114.99664807319641,846.8984375,788.58203125,-1,0,3195506
1741842909,1741843011,102,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1610 n_samples 837 n_permutations 10 update_interval 250 n_consecutive_deviations 5,1610,837,10,250,5,0.6639798488664987,93.20367217063904,0,None,i7158,93.20367217063904,866.875,803.5406901041666,-1,0,3195552
1741842907,1741843016,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2496 n_samples 1000 n_permutations 50 update_interval 50 n_consecutive_deviations 4,2496,1000,50,50,4,0.7250209907640638,98.39729690551758,0,None,i7149,98.39729690551758,830.2890625,786.9016927083334,-1,0,3195553
1741842907,1741843020,113,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2668 n_samples 779 n_permutations 10 update_interval 112 n_consecutive_deviations 3,2668,779,10,112,3,0.6832913518052057,93.8254599571228,0,None,i7172,93.8254599571228,858.23046875,790.4427083333334,-1,0,3195543
1741842881,1741843022,141,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2695 n_samples 1000 n_permutations 50 update_interval 50 n_consecutive_deviations 5,2695,1000,50,50,5,0.7291351805205709,131.158451795578,0,None,i7057,131.158451795578,844.01171875,790.495849609375,-1,0,3195530
1741842877,1741843032,155,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2458 n_samples 846 n_permutations 10 update_interval 50 n_consecutive_deviations 1,2458,846,10,50,1,0.7175482787573467,141.06793928146362,0,None,i7101,141.06793928146362,855.65234375,791.7833180147059,-1,0,3195524
1741842878,1741843044,166,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2882 n_samples 1000 n_permutations 50 update_interval 50 n_consecutive_deviations 4,2882,1000,50,50,4,0.7256926952141058,149.7386748790741,0,None,i7134,149.7386748790741,805.84765625,767.0197610294117,-1,0,3195515
1741842878,1741843063,185,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2748 n_samples 1000 n_permutations 10 update_interval 50 n_consecutive_deviations 4,2748,1000,10,50,4,0.7298908480268682,140.43712639808655,0,None,i7168,140.43712639808655,849.67578125,791.2879136029412,-1,0,3195499
1741842909,1741843094,185,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2871 n_samples 1000 n_permutations 50 update_interval 50 n_consecutive_deviations 3,2871,1000,50,50,3,0.7272040302267002,170.45323777198792,0,None,i7064,170.45323777198792,870.8515625,794.7609375,-1,0,3195572
1741842876,1741843098,222,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3054 n_samples 1000 n_permutations 10 update_interval 50 n_consecutive_deviations 3,3054,1000,10,50,3,0.7119227539882452,207.79373979568481,0,None,i7163,207.79373979568481,884.20703125,798.3943614130435,-1,0,3195509
1741842879,1741843103,224,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3103 n_samples 676 n_permutations 10 update_interval 50 n_consecutive_deviations 2,3103,676,10,50,2,0.7366918555835432,209.09058165550232,0,None,i7129,209.09058165550232,872.44921875,792.2836277173913,-1,0,3195516
1741842909,1741843107,198,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3653 n_samples 1000 n_permutations 10 update_interval 106 n_consecutive_deviations 3,3653,1000,10,106,3,0.6869857262804366,188.4167411327362,0,None,i7095,188.4167411327362,893.9609375,807.468005952381,-1,0,3195567
1741842876,1741843113,237,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3573 n_samples 1000 n_permutations 50 update_interval 78 n_consecutive_deviations 3,3573,1000,50,78,3,0.6936188077246012,222.7132384777069,0,None,i7016,222.7132384777069,895.74609375,811.14640625,-1,0,3195533
1741842907,1741843182,275,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3403 n_samples 327 n_permutations 50 update_interval 50 n_consecutive_deviations 2,3403,327,50,50,2,0.7120067170445005,266.29093623161316,0,None,i7176,266.29093623161316,893.09765625,799.4595905172414,-1,0,3195536
1741842876,1741843187,311,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3314 n_samples 1000 n_permutations 10 update_interval 50 n_consecutive_deviations 1,3314,1000,10,50,1,0.7210747271200671,297.76543140411377,0,None,i7163,297.76543140411377,902.0234375,803.598876953125,-1,0,3195504
1741844649,1741844709,60,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 307 n_samples 233 n_permutations 10 update_interval 95 n_consecutive_deviations 2,307,233,10,95,2,0.6411418975650713,49.50477910041809,0,None,i7101,49.50477910041809,802.25390625,778.5775669642857,-1,0,3197045
1741844652,1741844710,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2377 n_samples 1000 n_permutations 50 update_interval 250 n_consecutive_deviations 3,2377,1000,50,250,3,0.6643157010915197,43.517781257629395,0,None,i7107,43.517781257629395,778.6171875,765.3705357142857,-1,0,3197041
1741844679,1741844730,51,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 247 n_samples 100 n_permutations 50 update_interval 120 n_consecutive_deviations 3,247,100,50,120,3,0.6482787573467674,39.138739585876465,0,None,i7156,39.138739585876465,795.2265625,783.517578125,-1,0,3197066
1741844679,1741844731,52,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2373 n_samples 100 n_permutations 50 update_interval 250 n_consecutive_deviations 2,2373,100,50,250,2,0.6472712006717044,39.59766674041748,0,None,i7104,39.59766674041748,778.66015625,767.4401041666666,-1,0,3197083
1741844649,1741844734,85,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 320 n_samples 444 n_permutations 10 update_interval 92 n_consecutive_deviations 1,320,444,10,92,1,0.6999160369437447,73.36283493041992,0,None,i7122,73.36283493041992,828.765625,787.73359375,-1,0,3197029
1741844679,1741844743,64,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2659 n_samples 597 n_permutations 50 update_interval 250 n_consecutive_deviations 1,2659,597,50,250,1,0.644752308984047,54.41391968727112,0,None,i7135,54.41391968727112,818.16015625,786.388671875,-1,0,3197071
1741844648,1741844744,96,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 313 n_samples 372 n_permutations 50 update_interval 94 n_consecutive_deviations 1,313,372,50,94,1,0.6862300587741393,83.90807580947876,0,None,i7163,83.90807580947876,838.96875,793.1079545454545,-1,0,3197015
1741844681,1741844745,64,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 262 n_samples 314 n_permutations 50 update_interval 112 n_consecutive_deviations 2,262,314,50,112,2,0.6957178841309823,51.50094294548035,0,None,i7175,51.50094294548035,810.140625,785.486328125,-1,0,3197057
1741844680,1741844763,83,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 258 n_samples 1000 n_permutations 50 update_interval 73 n_consecutive_deviations 1,258,1000,50,73,1,0.7308144416456759,68.3227891921997,0,None,i7095,68.3227891921997,821.1953125,787.3511284722222,-1,0,3197086
1741844678,1741844773,95,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2396 n_samples 1000 n_permutations 50 update_interval 88 n_consecutive_deviations 1,2396,1000,50,88,1,0.7389588581024349,85.76142835617065,0,None,i7172,85.76142835617065,825.6328125,782.5958806818181,-1,0,3197060
1741844709,1741844773,64,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2749 n_samples 759 n_permutations 10 update_interval 250 n_consecutive_deviations 5,2749,759,10,250,5,0.6817800167926112,53.42323303222656,0,None,i7177,53.42323303222656,819.19140625,788.01220703125,-1,0,3197088
1741844679,1741844789,110,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3412 n_samples 1000 n_permutations 50 update_interval 250 n_consecutive_deviations 2,3412,1000,50,250,2,0.6533165407220822,96.70054364204407,0,None,i7117,96.70054364204407,827,779.7477213541666,-1,0,3197077
1741844708,1741844803,95,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1696 n_samples 100 n_permutations 10 update_interval 250 n_consecutive_deviations 5,1696,100,10,250,5,0.6628043660789252,84.05202412605286,0,None,i7172,84.05202412605286,858.34765625,797.0497159090909,-1,0,3197089
1741844680,1741844814,134,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2702 n_samples 869 n_permutations 10 update_interval 250 n_consecutive_deviations 3,2702,869,10,250,3,0.682703610411419,115.8884687423706,0,None,i7163,115.8884687423706,828.06640625,788.9483816964286,-1,0,3197064
1741844650,1741844824,174,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3242 n_samples 637 n_permutations 50 update_interval 87 n_consecutive_deviations 3,3242,637,50,87,3,0.7149454240134341,160.5971131324768,0,None,i7111,160.5971131324768,878.6796875,802.8314144736842,-1,0,3197035
1741844679,1741844840,161,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3081 n_samples 101 n_permutations 10 update_interval 50 n_consecutive_deviations 5,3081,101,10,50,5,0.6947103274559194,149.3215184211731,0,None,i7113,149.3215184211731,840.05078125,779.9880514705883,-1,0,3197081
1741844649,1741844843,194,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3091 n_samples 482 n_permutations 50 update_interval 50 n_consecutive_deviations 5,3091,482,50,50,5,0.7087321578505458,177.98693537712097,0,None,i7140,177.98693537712097,870.65234375,793.213671875,-1,0,3197021
1741844678,1741844845,167,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2906 n_samples 664 n_permutations 10 update_interval 50 n_consecutive_deviations 5,2906,664,10,50,5,0.7044500419815282,153.6108546257019,0,None,i7123,153.6108546257019,868.234375,791.7339409722222,-1,0,3197075
1741844680,1741844846,166,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2632 n_samples 808 n_permutations 50 update_interval 50 n_consecutive_deviations 1,2632,808,50,50,1,0.7096557514693534,154.95011520385742,0,None,i7127,154.95011520385742,872.53125,797.3773871527778,-1,0,3197073
1741844684,1741844869,185,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2898 n_samples 345 n_permutations 50 update_interval 50 n_consecutive_deviations 3,2898,345,50,50,3,0.7073887489504618,173.32682871818542,0,None,i7116,173.32682871818542,855.14453125,776.5611328125,-1,0,3197079
1741844651,1741844881,230,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3216 n_samples 627 n_permutations 50 update_interval 50 n_consecutive_deviations 3,3216,627,50,50,3,0.6806045340050377,219.0813627243042,0,None,i7167,219.0813627243042,868.2421875,782.5638020833334,-1,0,3197011
1741844648,1741844885,237,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3128 n_samples 329 n_permutations 10 update_interval 50 n_consecutive_deviations 3,3128,329,10,50,3,0.7041141897565072,223.152752161026,0,None,i7114,223.152752161026,880.79296875,794.92484375,-1,0,3197032
1741844649,1741844901,252,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1141 n_samples 795 n_permutations 50 update_interval 50 n_consecutive_deviations 1,1141,795,50,50,1,0.7129303106633081,240.29590249061584,0,None,i7129,240.29590249061584,852.91015625,769.9561298076923,-1,0,3197026
1741844681,1741844911,230,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1251 n_samples 939 n_permutations 50 update_interval 50 n_consecutive_deviations 5,1251,939,50,50,5,0.7261125104953821,219.3698239326477,0,None,i7138,219.3698239326477,875.40625,793.4348958333334,-1,0,3197069
1741849459,1741849498,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2011 n_samples 837 n_permutations 35 update_interval 70 n_consecutive_deviations 1,2011,837,35,70,1,0.6750629722921915,24.692607641220093,0,None,i7138,24.692607641220093,791.98828125,775.0828125,-1,0,3200320
1741849486,1741849583,97,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2619 n_samples 709 n_permutations 42 update_interval 154 n_consecutive_deviations 3,2619,709,42,154,3,0.6942905121746431,82.79295349121094,0,None,i7122,82.79295349121094,841.07421875,792.4435369318181,-1,0,3200352
1741849457,1741849602,145,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 506 n_samples 788 n_permutations 33 update_interval 75 n_consecutive_deviations 1,506,788,33,75,1,0.7102434928631403,103.54119229316711,0,None,i7158,103.54119229316711,852.3984375,793.8539663461538,-1,0,3200303
1741849457,1741849602,145,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1590 n_samples 538 n_permutations 26 update_interval 185 n_consecutive_deviations 4,1590,538,26,185,4,0.6821998320738875,101.12649178504944,0,None,i7158,101.12649178504944,858.734375,798.3876201923077,-1,0,3200299
1741849485,1741849618,133,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 510 n_samples 826 n_permutations 41 update_interval 62 n_consecutive_deviations 1,510,826,41,62,1,0.6962216624685138,119.97347664833069,0,None,i7172,119.97347664833069,865.328125,789.9645647321429,-1,0,3200333
1741849456,1741849621,165,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2449 n_samples 865 n_permutations 35 update_interval 50 n_consecutive_deviations 1,2449,865,35,50,1,0.7225860621326616,151.40592098236084,0,None,i7163,151.40592098236084,845.73828125,789.4045138888889,-1,0,3200285
1741849485,1741849626,141,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2757 n_samples 1000 n_permutations 31 update_interval 50 n_consecutive_deviations 4,2757,1000,31,50,4,0.7282955499580185,127.97397589683533,0,None,i7185,127.97397589683533,844.75390625,786.8434895833333,-1,0,3200327
1741849457,1741849627,170,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2705 n_samples 695 n_permutations 32 update_interval 62 n_consecutive_deviations 5,2705,695,32,62,5,0.6895885810243493,126.93467569351196,0,None,i7158,126.93467569351196,859.09765625,786.8731770833333,-1,0,3200295
1741849485,1741849639,154,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2760 n_samples 846 n_permutations 34 update_interval 50 n_consecutive_deviations 3,2760,846,34,50,3,0.6938706968933669,140.07649946212769,0,None,i7141,140.07649946212769,852.5859375,777.336669921875,-1,0,3200342
1741849459,1741849658,199,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2703 n_samples 926 n_permutations 31 update_interval 50 n_consecutive_deviations 1,2703,926,31,50,1,0.7318219983207389,186.06578040122986,0,None,i7156,186.06578040122986,876.76171875,797.563244047619,-1,0,3200307
1741849487,1741849660,173,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2580 n_samples 1000 n_permutations 47 update_interval 50 n_consecutive_deviations 1,2580,1000,47,50,1,0.7226700251889169,162.4803385734558,0,None,i7080,162.4803385734558,861.8515625,792.2707648026316,-1,0,3200378
1741849486,1741849676,190,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2532 n_samples 1000 n_permutations 13 update_interval 50 n_consecutive_deviations 1,2532,1000,13,50,1,0.726784214945424,177.82028603553772,0,None,i7163,177.82028603553772,859.125,791.8171875,-1,0,3200338
1741849486,1741849730,244,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1696 n_samples 173 n_permutations 35 update_interval 78 n_consecutive_deviations 1,1696,173,35,78,1,0.6794290512174643,233.22979068756104,0,None,i7115,233.22979068756104,880.53515625,803.1980168269231,-1,0,3200356
1741849488,1741849757,269,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3222 n_samples 609 n_permutations 15 update_interval 50 n_consecutive_deviations 1,3222,609,15,50,1,0.7273719563392107,258.57313203811646,0,None,i7093,258.57313203811646,882.609375,796.1030970982143,-1,0,3200370
1741849487,1741849826,339,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3743 n_samples 532 n_permutations 19 update_interval 50 n_consecutive_deviations 1,3743,532,19,50,1,0.7387069689336692,326.5657877922058,0,None,i7101,326.5657877922058,906.109375,809.6839285714286,-1,0,3200367
1741849458,1741849829,371,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1615 n_samples 663 n_permutations 35 update_interval 50 n_consecutive_deviations 1,1615,663,35,50,1,0.7343408900083963,360.0279903411865,0,None,i7134,360.0279903411865,909.10546875,810.1658100328947,-1,0,3200323
1741849515,1741849848,333,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1586 n_samples 509 n_permutations 34 update_interval 50 n_consecutive_deviations 1,1586,509,34,50,1,0.7429890848026868,321.8177344799042,0,None,i7183,321.8177344799042,900.76171875,809.1166294642857,-1,0,3200383
1741849485,1741849880,395,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3905 n_samples 652 n_permutations 14 update_interval 50 n_consecutive_deviations 1,3905,652,14,50,1,0.7372795969773299,384.08520460128784,0,None,i7172,384.08520460128784,914.11328125,818.0292492378048,-1,0,3200330
1741849456,1741849901,445,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1896 n_samples 909 n_permutations 34 update_interval 50 n_consecutive_deviations 1,1896,909,34,50,1,0.7411418975650713,430.58589720726013,0,None,i7163,430.58589720726013,901.71484375,808.4343580163044,-1,0,3200289
1741849567,1741849922,355,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2301 n_samples 1000 n_permutations 32 update_interval 67 n_consecutive_deviations 5,2301,1000,32,67,5,0.7131821998320739,102.91925835609436,0,None,i7153,102.91925835609436,821.5625,798.2518028846154,-1,0,3200310
1741849486,1741849927,441,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 756 n_permutations 16 update_interval 50 n_consecutive_deviations 1,4000,756,16,50,1,0.7109151973131822,428.7973141670227,0,None,i7107,428.7973141670227,892.22265625,798.8703125,-1,0,3200363
1741849516,1741850032,516,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 498 n_permutations 18 update_interval 50 n_consecutive_deviations 1,4000,498,18,50,1,0.7403862300587741,498.7638964653015,0,None,i7186,498.7638964653015,908.625,815.0925480769231,-1,0,3200380
1741849597,1741850266,669,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 449 n_samples 889 n_permutations 33 update_interval 50 n_consecutive_deviations 3,449,889,33,50,3,0.6789252728799329,531.4327092170715,0,None,i7087,531.4327092170715,832.9921875,790.3414481026786,-1,0,3200372
1741854327,1741854397,70,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2692 n_samples 652 n_permutations 32 update_interval 239 n_consecutive_deviations 4,2692,652,32,239,4,0.6329974811083123,58.76574683189392,0,None,i7127,58.76574683189392,825.0078125,785.7509765625,-1,0,3202990
1741854353,1741854423,70,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2802 n_samples 541 n_permutations 50 update_interval 241 n_consecutive_deviations 5,2802,541,50,241,5,0.6675902602854744,58.57691788673401,0,None,i7116,58.57691788673401,803.953125,770.9912109375,-1,0,3203014
1741854352,1741854428,76,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2630 n_samples 1000 n_permutations 10 update_interval 238 n_consecutive_deviations 3,2630,1000,10,238,3,0.6759865659109991,60.63538479804993,0,None,i7114,60.63538479804993,822.53125,792.2100694444445,-1,0,3203018
1741854352,1741854428,76,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2728 n_samples 1000 n_permutations 50 update_interval 239 n_consecutive_deviations 4,2728,1000,50,239,4,0.6712846347607053,58.68696165084839,0,None,i7114,58.68696165084839,807.5234375,780.962890625,-1,0,3203017
1741854324,1741854432,108,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2732 n_samples 1000 n_permutations 10 update_interval 112 n_consecutive_deviations 5,2732,1000,10,112,5,0.7180520570948783,96.45312094688416,0,None,i7129,96.45312094688416,854.78515625,796.6305338541666,-1,0,3202987
1741854328,1741854437,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2548 n_samples 1000 n_permutations 10 update_interval 95 n_consecutive_deviations 3,2548,1000,10,95,3,0.7167926112510495,94.59743142127991,0,None,i7124,94.59743142127991,843.0625,792.4801432291666,-1,0,3202994
1741854322,1741854437,115,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2366 n_samples 1000 n_permutations 50 update_interval 62 n_consecutive_deviations 1,2366,1000,50,62,1,0.7342569269521411,94.95254921913147,0,None,i7123,94.95254921913147,842.71875,791.4192708333334,-1,0,3202996
1741854353,1741854455,102,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2578 n_samples 1000 n_permutations 10 update_interval 110 n_consecutive_deviations 5,2578,1000,10,110,5,0.7120906801007557,85.22018241882324,0,None,i7116,85.22018241882324,821.56640625,776.3966619318181,-1,0,3203015
1741854354,1741854457,103,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1315 n_samples 520 n_permutations 50 update_interval 204 n_consecutive_deviations 5,1315,520,50,204,5,0.6709487825356844,90.53249549865723,0,None,i7115,90.53249549865723,843.94921875,794.330078125,-1,0,3203016
1741854352,1741854461,109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2732 n_samples 1000 n_permutations 50 update_interval 113 n_consecutive_deviations 5,2732,1000,50,113,5,0.7068010075566751,94.86448121070862,0,None,i7123,94.86448121070862,857.22265625,798.7731119791666,-1,0,3203005
1741854354,1741854482,128,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3160 n_samples 769 n_permutations 10 update_interval 153 n_consecutive_deviations 5,3160,769,10,153,5,0.681696053736356,112.13221883773804,0,None,i7129,112.13221883773804,859.63671875,796.0650111607143,-1,0,3203002
1741854383,1741854485,102,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2341 n_samples 1000 n_permutations 10 update_interval 69 n_consecutive_deviations 1,2341,1000,10,69,1,0.7403862300587741,88.44793176651001,0,None,i7111,88.44793176651001,825.7578125,786.0149147727273,-1,0,3203027
1741854352,1741854500,148,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 2932 n_samples 404 n_permutations 10 update_interval 109 n_consecutive_deviations 5,2932,404,10,109,5,0.6946263643996642,136.6158103942871,0,None,i7122,136.6158103942871,871.4921875,795.9423828125,-1,0,3203007
1741854352,1741854505,153,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3225 n_samples 815 n_permutations 10 update_interval 149 n_consecutive_deviations 3,3225,815,10,149,3,0.6845507976490344,113.63333034515381,0,None,i7117,113.63333034515381,858.00390625,787.1824776785714,-1,0,3203013
1741854353,1741854507,154,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3600 n_samples 837 n_permutations 50 update_interval 153 n_consecutive_deviations 5,3600,837,50,153,5,0.6827875734676743,138.39511609077454,0,None,i7113,138.39511609077454,860.828125,789.22900390625,-1,0,3203019
1741854382,1741854542,160,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 1242 n_samples 348 n_permutations 10 update_interval 170 n_consecutive_deviations 1,1242,348,10,170,1,0.6875734676742233,146.11694502830505,0,None,i7113,146.11694502830505,861.51953125,783.3003216911765,-1,0,3203025
1741854383,1741854590,207,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3433 n_samples 130 n_permutations 10 update_interval 82 n_consecutive_deviations 1,3433,130,10,82,1,0.6831234256926952,186.61840391159058,0,None,i7112,186.61840391159058,869.15625,796.1177455357143,-1,0,3203026
1741854353,1741854686,333,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 595 n_permutations 10 update_interval 72 n_consecutive_deviations 1,4000,595,10,72,1,0.7253568429890848,321.5128107070923,0,None,i7127,321.5128107070923,883.30859375,808.7331473214285,-1,0,3203003
1741854382,1741854703,321,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 638 n_permutations 50 update_interval 82 n_consecutive_deviations 1,4000,638,50,82,1,0.7324097397145256,310.05202651023865,0,None,i7122,310.05202651023865,862.515625,802.1202651515151,-1,0,3203024
1741854353,1741854731,378,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 4000 n_samples 563 n_permutations 10 update_interval 89 n_consecutive_deviations 1,4000,563,10,89,1,0.7217464315701092,360.4057550430298,0,None,i7163,360.4057550430298,893.03515625,811.5805921052631,-1,0,3203000
1741854539,1741855655,1116,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier IBDD recent_samples_size 3361 n_samples 103 n_permutations 50 update_interval 155 n_consecutive_deviations 4,3361,103,50,155,4,0.6037783375314861,926.2152695655823,0,None,i7182,926.2152695655823,849.30859375,813.7416118421053,-1,0,3203020

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⚠ Job 3159639 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159639/3159639_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159639/3159639_0_log.out


⚠ Job 3159678 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159678/3159678_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159678/3159678_0_log.out


⚠ Job 3159717 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159717/3159717_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159717/3159717_0_log.out


⚠ Job 3159725 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159725/3159725_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159725/3159725_0_log.out


⚠ Job 3159734 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159734/3159734_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159734/3159734_0_log.out


⚠ Job 3159662 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159662/3159662_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3159662 ON i7088 CANCELLED AT 2025-03-12T20:52:27 DUE TO TIME LIMIT ***



⚠ Job 3159738 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159738/3159738_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3159738 ON i7173 CANCELLED AT 2025-03-12T20:57:57 DUE TO TIME LIMIT ***



⚠ Job 3178004 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178004/3178004_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178004/3178004_0_log.out


⚠ Job 3178014 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178014/3178014_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178014/3178014_0_log.out


⚠ Job 3178022 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178022/3178022_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178022/3178022_0_log.out


⚠ Job 3178023 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178023/3178023_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178023/3178023_0_log.out


⚠ Job 3178033 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178033/3178033_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178033/3178033_0_log.out


⚠ Job 3178046 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178046/3178046_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178046/3178046_0_log.out


⚠ Job 3178057 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178057/3178057_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178057/3178057_0_log.out


⚠ Job 3178069 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178069/3178069_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178069/3178069_0_log.out

Job SlurmJob<job_id=3180821, task_id=0, state="FAILED">, state not in 'completed', 'early_stopped', 'abandoned', 'cancelled', 'timeout'], which would be removed from the job list, or 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed

Job SlurmJob<job_id=3180821, task_id=0, state="FAILED">, state not in 'completed', 'early_stopped', 'abandoned', 'cancelled', 'timeout'], which would be removed from the job list, or 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed


⚠ Job 3180821 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3180821/3180821_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3180821/3180821_0_log.out


⚠ Job 3184746 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3184746/3184746_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3184746/3184746_0_log.out


⚠ Job 3184771 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3184771/3184771_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3184771/3184771_0_log.out


⚠ Job 3184810 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3184810/3184810_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3184810/3184810_0_log.out


⚠ Job 3188054 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3188054/3188054_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3188054 ON i7031 CANCELLED AT 2025-03-13T04:48:10 DUE TO TIME LIMIT ***



⚠ Job 3191564 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3191564/3191564_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3191564/3191564_0_log.out


⚠ Job 3191578 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3191578/3191578_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3191578/3191578_0_log.out


⚠ Job 3191570 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3191570/3191570_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3191570 ON i7084 CANCELLED AT 2025-03-13T05:44:13 DUE TO TIME LIMIT ***



⚠ Job 3195501 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195501/3195501_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195501/3195501_0_log.out


⚠ Job 3195502 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195502/3195502_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195502/3195502_0_log.out


⚠ Job 3195546 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195546/3195546_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195546/3195546_0_log.out


⚠ Job 3200313 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3200313/3200313_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3200313 ON i7148 CANCELLED AT 2025-03-13T08:34:18 DUE TO TIME LIMIT ***



⚠ Job 3200316 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3200316/3200316_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3200316 ON i7146 CANCELLED AT 2025-03-13T08:34:18 DUE TO TIME LIMIT ***



⚠ Job 3200324 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3200324/3200324_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3200324 ON i7133 CANCELLED AT 2025-03-13T08:34:18 DUE TO TIME LIMIT ***



⚠ Job 3200344 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3200344/3200344_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3200344 ON i7131 CANCELLED AT 2025-03-13T08:34:48 DUE TO TIME LIMIT ***



⚠ Job 3200348 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3200348/3200348_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3200348 ON i7128 CANCELLED AT 2025-03-13T08:34:48 DUE TO TIME LIMIT ***



⚠ Job 3200360 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3200360/3200360_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3200360 ON i7110 CANCELLED AT 2025-03-13T08:34:48 DUE TO TIME LIMIT ***



⚠ Job 3200375 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3200375/3200375_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3200375 ON i7083 CANCELLED AT 2025-03-13T08:34:48 DUE TO TIME LIMIT ***



⚠ Job 3202998 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3202998/3202998_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3202998/3202998_0_log.out


⚠ Job 3203022 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203022/3203022_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203022/3203022_0_log.out


⚠ Job 3203023 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203023/3203023_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203023/3203023_0_log.out


⚠ Job 3202989 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3202989/3202989_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3202989 ON i7128 CANCELLED AT 2025-03-13T09:55:20 DUE TO TIME LIMIT ***



⚠ Job 3202992 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3202992/3202992_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3202992 ON i7125 CANCELLED AT 2025-03-13T09:55:20 DUE TO TIME LIMIT ***



⚠ Job 3203009 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203009/3203009_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3203009 ON i7119 CANCELLED AT 2025-03-13T09:55:50 DUE TO TIME LIMIT ***



⚠ Job 3203011 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203011/3203011_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3203011 ON i7118 CANCELLED AT 2025-03-13T09:55:50 DUE TO TIME LIMIT ***



⚠ Job 3203021 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203021/3203021_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3203021 ON i7173 CANCELLED AT 2025-03-13T09:56:20 DUE TO TIME LIMIT ***



⚠ Job 3203028 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203028/3203028_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3203028 ON i7110 CANCELLED AT 2025-03-13T09:56:20 DUE TO TIME LIMIT ***

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timestamp,ram_usage_mb,cpu_usage_percent
1741783528,595.515625,41.2
1741783528,595.69921875,43.0
1741783528,595.74609375,41.7
1741783528,595.74609375,46.8
1741783528,595.74609375,32.4
1741783528,595.74609375,41.4
1741783528,595.74609375,44.7
1741783589,611.453125,40.6
1741783589,611.453125,29.4
1741783589,611.453125,40.8
1741783589,611.453125,46.7
1741809959,691.5390625,39.4
1741809959,691.5390625,37.2
1741809959,691.5390625,37.5
1741809959,691.5390625,41.3
1741820227,688.34765625,38.4
1741820227,688.34765625,41.3
1741820227,688.34765625,41.3
1741820227,688.34765625,39.5
1741828600,708.375,40.4
1741828600,708.375,41.2
1741828600,708.375,41.5
1741828600,708.375,45.7
1741834111,720.6171875,38.9
1741834111,720.6171875,36.4
1741834111,720.6171875,36.6
1741834111,720.6171875,29.0
1741838902,747.6875,40.1
1741838902,747.6875,41.3
1741838902,747.6875,41.1
1741838902,747.6875,44.9
1741842752,775.0859375,40.7
1741842752,775.0859375,37.5
1741842752,775.0859375,36.5
1741842752,775.0859375,27.0
1741844684,725.8515625,40.7
1741844684,725.8515625,41.7
1741844684,725.8515625,41.5
1741844684,725.8515625,45.7
1741849489,744.71875,41.5
1741849489,744.71875,39.3
1741849489,744.71875,39.2
1741849489,744.71875,44.4
1741854423,794.20703125,41.2
1741854423,794.20703125,41.4
1741854423,794.20703125,41.0
1741854423,794.20703125,29.4

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Correlation Heatmap Explanation

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

How It Works

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

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

Color Scale: Yellow to Purple (Viridis)

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

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

What the Heatmap Shows

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

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

			body {
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
				background-color: #fafafa;
				font-variant: oldstyle-nums;
				text-shadow: 0 0.05em 0.1em rgba(0,0,0,0.2);
				scroll-behavior: smooth;
				text-wrap: balance;
				text-rendering: optimizeLegibility;
				-webkit-font-smoothing: antialiased;
				-moz-osx-font-smoothing: grayscale;
				font-feature-settings: "ss02", "liga", "onum";
			}
			
			.marked_text {
				background-color: yellow;
			}
			
			.time_picker_container {
				font-variant: small-caps;
				width: 100%;
			}
			
			.time_picker_container > input {
				width: 50px;
			}
			
			#loader {
				display: grid;
				justify-content: center;
				align-items: center;
				height: 100%;
			}
			
			.no_linebreak {
				line-break: auto;
			}
			
			.dark_code_bg {
				background-color: #363636;
				color: white;
			}
			
			.code_bg {
				background-color: #C0C0C0;
			}
			
			#commands {
				line-break: anywhere;
			}
			
			.color_red {
				color: red;
			}
			
			.color_orange {
				color: orange;
			}
			
			table > tbody > tr:nth-child(odd) {
				background-color: #fafafa;
			}
			
			table > tbody > tr:nth-child(even) {
				background-color: #ddd;
			}
			
			table {
				border-collapse: collapse;
				margin: 25px 0;
				min-width: 200px;
			}
			
			th {
				background-color: #4eae46;
				color: #ffffff;
				text-align: left;
				border: 0px;
			}
			
			.error_element {
				background-color: #e57373;
				border-radius: 10px;
				padding: 4px;
				display: none;
			}
			
			button {
				background-color: #4eae46;
				border: 1px solid #2A8387;
				border-radius: 4px;
				box-shadow: rgba(0, 0, 0, 0.12) 0 1px 1px;
				cursor: pointer;
				display: block;
				line-height: 100%;
				outline: 0;
				padding: 11px 15px 12px;
				text-align: center;
				transition: box-shadow .05s ease-in-out, opacity .05s ease-in-out;
				user-select: none;
				-webkit-user-select: none;
				touch-action: manipulation;
			}
			
			button:hover {
				box-shadow: rgba(255, 255, 255, 0.3) 0 0 2px inset, rgba(0, 0, 0, 0.4) 0 1px 2px;
				text-decoration: none;
				transition-duration: .15s, .15s;
			}
			
			button:active {
				box-shadow: rgba(0, 0, 0, 0.15) 0 2px 4px inset, rgba(0, 0, 0, 0.4) 0 1px 1px;
			}
			
			button:disabled {
				cursor: not-allowed;
				opacity: .6;
			}
			
			button:disabled:active {
				pointer-events: none;
			}
			
			button:disabled:hover {
				box-shadow: none;
			}
			
			.half_width_td {
				vertical-align: baseline;
				width: 50%;
			}
			
			#scads_bar {
				width: 100%;
				min-height: 80px;
				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: 60px;
				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;
				color: #007bff;
			}
			
			.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;
			}
			
			.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;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					font-size: 2em;
				}
			}
			
			.header_button {
				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;
			}
			

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 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			: :-webkit-scrollbar-button: horizontal: start{
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			: :-webkit-scrollbar-button: horizontal: end{
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			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
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stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
			}
			
			.field-row{
				display: flex;
				align-items: center
			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
				margin-top: 6px
			}
			
			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
			menu[role=tablist] button{
				background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
				padding: 0 12px 3px
			}
			
			menu[role=tablist] button: hover{
				box-shadow: unset;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]{
				border-color: #919b9c;
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]: first-of-type: before{
				content: "";
				display: block;
				position: absolute;
				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
			}
			
			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
			}
			
			ul.tree-view{
				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
			}
			
			@keyframes sliding{
				0%{
					transform: translateX(-30px)
				}
			
				to{
					transform: translateX(100%)
				}
			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
				border-radius: 4px;
				padding: 1px 2px 1px 0;
				overflow: hidden;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress,progress: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				height: 14px
			}
			
			progress[value]: :-webkit-progress-bar{
				background-color: transparent
			}
			
			progress[value]: :-webkit-progress-value{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress[value]: :-moz-progress-bar{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-webkit-progress-bar{
				width: 100%;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-webkit-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]){
				position: relative
			}
			
			progress: not([value]): before{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before,progress: not([value]): before: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): after{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 1px;
				left: 2px;
				width: 100%;
				height: calc(100% - 2px);
				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)
			}
			
			progress: not([value]): after,progress: not([value]): after: not([value]){
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): after: not([value]){
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-moz-progress-bar{
				width: 100%;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-moz-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			

		</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 = [
			    "trial_index",
			    "arm_name",
			    "trial_status",
			    "generation_method",
			    "generation_node",
			    "ACCURACY",
			    "RUNTIME",
			    "recent_samples_size",
			    "n_samples",
			    "n_permutations",
			    "update_interval",
			    "n_consecutive_deviations"
			];
			var tab_results_csv_json = [
			    [
			        0,
			        "0_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.7207388748950462,
			        194.59288001060486,
			        3344,
			        888,
			        49,
			        51,
			        4
			    ],
			    [
			        1,
			        "1_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.6614609571788413,
			        49.13319396972656,
			        341,
			        284,
			        17,
			        165,
			        1
			    ],
			    [
			        2,
			        "2_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        "",
			        "",
			        1906,
			        575,
			        33,
			        145,
			        3
			    ],
			    [
			        3,
			        "3_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.7235936188077245,
			        55.49475121498108,
			        2898,
			        482,
			        22,
			        233,
			        4
			    ],
			    [
			        4,
			        "4_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.6463476070528967,
			        45.030805349349976,
			        2348,
			        754,
			        11,
			        206,
			        3
			    ],
			    [
			        5,
			        "5_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.7130982367758186,
			        179.51324820518494,
			        1364,
			        389,
			        43,
			        116,
			        2
			    ],
			    [
			        6,
			        "6_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.6554995801847188,
			        73.54338765144348,
			        921,
			        892,
			        27,
			        200,
			        2
			    ],
			    [
			        7,
			        "7_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.6596977329974811,
			        182.47526812553406,
			        3917,
			        137,
			        37,
			        85,
			        5
			    ],
			    [
			        8,
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			    [
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			        30,
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			    [
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			        30,
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			        30,
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			        30,
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			    ],
			    [
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			        30,
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			    [
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			        30,
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			    [
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			        30,
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			    ],
			    [
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			        30,
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			    ],
			    [
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			        30,
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			    ],
			    [
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			        30,
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			    ],
			    [
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			        30,
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			    ],
			    [
			        1741854420.430603,
			        30,
			        26,
			        87
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1741783528,
			        595.515625,
			        41.2
			    ],
			    [
			        1741783528,
			        595.69921875,
			        43
			    ],
			    [
			        1741783528,
			        595.74609375,
			        41.7
			    ],
			    [
			        1741783528,
			        595.74609375,
			        46.8
			    ],
			    [
			        1741783528,
			        595.74609375,
			        32.4
			    ],
			    [
			        1741783528,
			        595.74609375,
			        41.4
			    ],
			    [
			        1741783528,
			        595.74609375,
			        44.7
			    ],
			    [
			        1741783589,
			        611.453125,
			        40.6
			    ],
			    [
			        1741783589,
			        611.453125,
			        29.4
			    ],
			    [
			        1741783589,
			        611.453125,
			        40.8
			    ],
			    [
			        1741783589,
			        611.453125,
			        46.7
			    ],
			    [
			        1741809959,
			        691.5390625,
			        39.4
			    ],
			    [
			        1741809959,
			        691.5390625,
			        37.2
			    ],
			    [
			        1741809959,
			        691.5390625,
			        37.5
			    ],
			    [
			        1741809959,
			        691.5390625,
			        41.3
			    ],
			    [
			        1741820227,
			        688.34765625,
			        38.4
			    ],
			    [
			        1741820227,
			        688.34765625,
			        41.3
			    ],
			    [
			        1741820227,
			        688.34765625,
			        41.3
			    ],
			    [
			        1741820227,
			        688.34765625,
			        39.5
			    ],
			    [
			        1741828600,
			        708.375,
			        40.4
			    ],
			    [
			        1741828600,
			        708.375,
			        41.2
			    ],
			    [
			        1741828600,
			        708.375,
			        41.5
			    ],
			    [
			        1741828600,
			        708.375,
			        45.7
			    ],
			    [
			        1741834111,
			        720.6171875,
			        38.9
			    ],
			    [
			        1741834111,
			        720.6171875,
			        36.4
			    ],
			    [
			        1741834111,
			        720.6171875,
			        36.6
			    ],
			    [
			        1741834111,
			        720.6171875,
			        29
			    ],
			    [
			        1741838902,
			        747.6875,
			        40.1
			    ],
			    [
			        1741838902,
			        747.6875,
			        41.3
			    ],
			    [
			        1741838902,
			        747.6875,
			        41.1
			    ],
			    [
			        1741838902,
			        747.6875,
			        44.9
			    ],
			    [
			        1741842752,
			        775.0859375,
			        40.7
			    ],
			    [
			        1741842752,
			        775.0859375,
			        37.5
			    ],
			    [
			        1741842752,
			        775.0859375,
			        36.5
			    ],
			    [
			        1741842752,
			        775.0859375,
			        27
			    ],
			    [
			        1741844684,
			        725.8515625,
			        40.7
			    ],
			    [
			        1741844684,
			        725.8515625,
			        41.7
			    ],
			    [
			        1741844684,
			        725.8515625,
			        41.5
			    ],
			    [
			        1741844684,
			        725.8515625,
			        45.7
			    ],
			    [
			        1741849489,
			        744.71875,
			        41.5
			    ],
			    [
			        1741849489,
			        744.71875,
			        39.3
			    ],
			    [
			        1741849489,
			        744.71875,
			        39.2
			    ],
			    [
			        1741849489,
			        744.71875,
			        44.4
			    ],
			    [
			        1741854423,
			        794.20703125,
			        41.2
			    ],
			    [
			        1741854423,
			        794.20703125,
			        41.4
			    ],
			    [
			        1741854423,
			        794.20703125,
			        41
			    ],
			    [
			        1741854423,
			        794.20703125,
			        29.4
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout) {
				layout["width"] = get_graph_width();
				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
				}).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 load_pareto_graph() {
				if($("#tab_pareto_fronts").data("loaded") == "true") {
					return;
				}
			
				var data = pareto_front_data;
			
				if (!data || typeof data !== "object") {
					console.error("Invalid data format for pareto_front_data");
					return;
				}
			
				if (!Object.keys(data).length) {
					console.warn("No data found in pareto_front_data");
					return;
				}
			
				let categories = Object.keys(data);
				let allMetrics = new Set();
			
				function extractMetrics(obj, prefix = "") {
					let keys = Object.keys(obj);
					for (let key of keys) {
						let newPrefix = prefix ? `${prefix} -> ${key}` : key;
						if (typeof obj[key] === "object" && !Array.isArray(obj[key])) {
							extractMetrics(obj[key], newPrefix);
						} else {
							if (!newPrefix.includes("param_dicts") && !newPrefix.includes(" -> sems -> ") && !newPrefix.includes("absolute_metrics")) {
								allMetrics.add(newPrefix);
							}
						}
					}
				}
			
				for (let cat of categories) {
					extractMetrics(data[cat]);
				}
			
				allMetrics = Array.from(allMetrics);
			
				function extractValues(obj, metricPath, values) {
					let parts = metricPath.split(" -> ");
					let data = obj;
					for (let part of parts) {
						if (data && typeof data === "object") {
							data = data[part];
						} else {
							return;
						}
					}
					if (Array.isArray(data)) {
						values.push(...data);
					}
				}
			
				let graphContainer = document.getElementById("pareto_front_graphs_container");
				graphContainer.classList.add("invert_in_dark_mode");
				graphContainer.innerHTML = "";
			
				var already_plotted = [];
			
				for (let i = 0; i < allMetrics.length; i++) {
					for (let j = i + 1; j < allMetrics.length; j++) {
						let xMetric = allMetrics[i];
						let yMetric = allMetrics[j];
			
						let xValues = [];
						let yValues = [];
			
						for (let cat of categories) {
							let metricData = data[cat];
							extractValues(metricData, xMetric, xValues);
							extractValues(metricData, yMetric, yValues);
						}
			
						xValues = xValues.filter(v => v !== undefined && v !== null);
						yValues = yValues.filter(v => v !== undefined && v !== null);
			
						let cleanXMetric = xMetric.replace(/.* -> /g, "");
						let cleanYMetric = yMetric.replace(/.* -> /g, "");
			
						let plot_key = `${cleanXMetric}-${cleanYMetric}`;
			
						if (xValues.length > 0 && yValues.length > 0 && xValues.length === yValues.length && !already_plotted.includes(plot_key)) {
							let div = document.createElement("div");
							div.id = `pareto_front_graph_${i}_${j}`;
							div.style.marginBottom = "20px";
							graphContainer.appendChild(div);
			
							let layout = {
								title: `${cleanXMetric} vs ${cleanYMetric}`,
								xaxis: {
									title: get_axis_title_data(cleanXMetric)
								},
								yaxis: {
									title: get_axis_title_data(cleanYMetric)
								},
								hovermode: "closest"
							};
			
							let trace = {
								x: xValues,
								y: yValues,
								mode: "markers",
								marker: {
									size: get_marker_size(),
								},
								type: "scatter",
								name: `${cleanXMetric} vs ${cleanYMetric}`
							};
			
							Plotly.newPlot(div.id, [trace], add_default_layout_data(layout));
			
							already_plotted.push(plot_key);
						}
					}
				}
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				$("#tab_pareto_fronts").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_method";
			
				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',  // Zeigt nur Ausreißer außerhalb der Whiskers
						jitter: 0.5,  // Erhöht die Streuung der Punkte für bessere Sichtbarkeit
						pointpos: 0   // Position der Punkte innerhalb der Box
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: "Generation Method"
					},
					boxmode: 'group'  // Gruppiert die Boxplots nach Generation Method
				};
			
				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_method"]').forEach(el => {
					let color = el.textContent.includes("Manual") ? "green" :
						el.textContent.includes("Sobol") ? "orange" :
						el.textContent.includes("SAASBO") ? "pink" :
						el.textContent.includes("Uniform") ? "lightblue" :
						el.textContent.includes("Legacy_GPEI") ? "Sienna" :
						el.textContent.includes("BO_MIXED") ? "Aqua" :
						el.textContent.includes("RANDOMFOREST") ? "DarkSeaGreen" :
						el.textContent.includes("EXTERNAL_GENERATOR") ? "Purple" :
						el.textContent.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" : "";
					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';
				}
			}
			
			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();
			});
			

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

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;Overview</h1>
			<h2>Experiment overview:              </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value           </th></tr></thead><tbody><tr><td> Model for non-random steps</td><td>BOTORCH_MODULAR </td></tr><tr><td> Max. nr. evaluations</td><td>500             </td></tr><tr><td> Number random steps</td><td>20              </td></tr><tr><td> Nr. of workers (parameter)</td><td>30              </td></tr><tr><td> Main process memory (GB)</td><td>8               </td></tr><tr><td> Worker memory (GB)</td><td>32              </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>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>range</td><td>10</td><td>4000</td><td>int</td><td>No         </td></tr><tr><td> n_samples</td><td>range</td><td>100</td><td>1000</td><td>int</td><td>No         </td></tr><tr><td> n_permutations</td><td>range</td><td>10</td><td>50</td><td>int</td><td>No         </td></tr><tr><td> update_interval</td><td>range</td><td>50</td><td>250</td><td>int</td><td>No         </td></tr><tr><td> n_consecutive_deviations</td><td>range</td><td>1</td><td>5</td><td>int</td><td>No         </td></tr></tbody></table><br><h2>Number of evaluations:</h2>
			<table>
			<tbody>
			<tr>
			<th>Failed</th>
			<th>Succeeded</th>
			<th>Running</th>
			<th>Total</th>
			</tr>
			<tr>
			<td>42</td>
			<td>248</td>
			<td>10</td>
			<td>300</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types:</h2>
			<br><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>
			
			<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,n_samples,n_permutations,update_interval,n_consecutive_deviations
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.720738874895046177648794127890,194.592880010604858398437500000000,3344,888,49,51,4
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.661460957178841346681963386800,49.133193969726562500000000000000,341,284,17,165,1
2,2_0,FAILED,Sobol,GenerationStep_0,,,1906,575,33,145,3
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.723593618807724547892235023028,55.494751214981079101562500000000,2898,482,22,233,4
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.646347607052896733215163749264,45.030805349349975585937500000000,2348,754,11,206,3
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.713098236775818627997125531692,179.513248205184936523437500000000,1364,389,43,116,2
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.655499580184718766417972801719,73.543387651443481445312500000000,921,892,27,200,2
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.659697732997481134376016598253,182.475268125534057617187500000000,3917,137,37,85,5
8,8_0,FAILED,Sobol,GenerationStep_0,,,3725,635,28,100,1
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.685642317380352639411000836844,56.575592994689941406250000000000,738,507,38,216,5
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.680940386230058813943344375730,130.819059848785400390625000000000,1041,778,13,94,4
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.621578505457598629035942394694,20.186394929885864257812500000000,2048,251,43,184,3
12,12_0,FAILED,Sobol,GenerationStep_0,,,2715,995,32,155,2
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.682031905961376971880838482321,244.669543266296386718750000000000,1715,177,22,66,3
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.589252728799328329145623683871,298.677754640579223632812500000000,40,686,47,250,5
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.692779177162048731553056768462,159.075114965438842773437500000000,3019,371,17,136,1
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.690092359361880736123850965669,76.917230606079101562500000000000,3160,703,40,193,4
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.683879093198992427105054048297,45.653309822082519531250000000000,181,328,29,79,3
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.695465994962216615959960108739,134.559969663619995117187500000000,1606,957,45,212,1
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.622837951301427383832276518660,68.488093852996826171875000000000,2606,185,13,123,4
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.658522250209907622497951251717,260.854528665542602539062500000000,2157,823,20,138,5
21,21_0,FAILED,Sobol,GenerationStep_0,,,1150,236,31,228,2
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.696137699412258559306110328180,119.475982666015625000000000000000,598,626,15,56,2
23,23_0,FAILED,Sobol,GenerationStep_0,,,3585,544,46,172,4
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.666666666666666629659232512495,110.659118890762329101562500000000,3776,933,19,244,3
25,25_0,FAILED,Sobol,GenerationStep_0,,,780,126,49,129,4
26,26_0,FAILED,Sobol,GenerationStep_0,,,1474,734,24,162,5
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.713098236775818627997125531692,109.433568716049194335937500000000,2458,436,34,72,1
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.715029387069689326139609875099,123.340288877487182617187500000000,2789,588,41,88,1
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.670864819479428997617276309029,136.052598714828491210937500000000,1797,442,11,177,5
30,30_0,COMPLETED,Sobol,GenerationStep_0,0.679261125104953844555666364613,76.835575342178344726562500000000,481,839,36,108,3
31,31_0,FAILED,Sobol,GenerationStep_0,,,3483,302,26,221,2
32,32_0,COMPLETED,Sobol,GenerationStep_0,0.686985726280436637125603738241,97.594797849655151367187500000000,3380,561,13,175,5
33,33_0,COMPLETED,Sobol,GenerationStep_0,0.706297229219143618550447172311,113.474245309829711914062500000000,397,468,44,60,2
34,34_0,COMPLETED,Sobol,GenerationStep_0,0.660285474391267834803898040263,97.194268941879272460937500000000,1823,873,28,231,2
35,35_0,COMPLETED,Sobol,GenerationStep_0,0.686481947942905068593688611145,89.776930809020996093750000000000,2826,269,39,141,3
36,36_0,FAILED,Sobol,GenerationStep_0,,,2440,906,48,120,4
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.669353484466834625088438315288,60.704662561416625976562500000000,2366,482,39,209,3
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.663140218303946316069641397917,38.352751255035400390625000000000,2302,504,41,182,2
39,39_0,FAILED,BoTorch,GenerationStep_1,,,2086,474,20,229,3
40,40_0,FAILED,BoTorch,GenerationStep_1,,,531,487,50,149,3
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.643912678421494577563066741277,57.069819211959838867187500000000,2596,509,50,188,3
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.685810243492863125247538391704,96.342179775238037109375000000000,1140,487,37,219,4
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.650377833753148615336669990938,35.894405603408813476562500000000,2377,482,21,231,2
44,44_0,FAILED,BoTorch,GenerationStep_1,,,2370,465,10,250,3
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.679848866498740544983547806623,57.572444438934326171875000000000,2556,495,50,230,3
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.724013434089000873505881372694,39.449234724044799804687500000000,155,474,50,110,1
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.562804366078925255578724318184,14.890857934951782226562500000000,2029,483,50,249,3
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.658354324097397136661413696856,35.013401031494140625000000000000,2371,460,50,229,4
49,49_0,FAILED,BoTorch,GenerationStep_1,,,2086,468,10,193,2
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.665575146935348471721738405904,67.973251819610595703125000000000,598,487,10,225,1
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.639966414777497938359829277033,22.595691442489624023437500000000,67,474,50,130,2
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.664399664147774959843673059368,45.438687324523925781250000000000,2370,398,10,207,3
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.718891687657430722424578561913,69.585473060607910156250000000000,618,474,17,161,3
54,54_0,FAILED,BoTorch,GenerationStep_1,,,313,612,50,75,5
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.688832913518052092349819304218,287.226474761962890625000000000000,2296,515,50,160,2
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.663056255247690962129070157971,64.362445592880249023437500000000,2549,512,50,205,2
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.686062132661628854002344723995,166.296490907669067382812500000000,1632,466,43,227,3
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.663727959697733016497522839927,41.395910501480102539062500000000,284,527,14,127,4
59,59_0,FAILED,BoTorch,GenerationStep_1,,,3360,535,33,250,5
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.664147774979009231088866727077,26.862851381301879882812500000000,2171,514,27,191,2
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.696221662468513802224379105610,42.827919006347656250000000000000,183,544,34,89,1
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.668178001679261113210372968751,27.946521997451782226562500000000,2191,492,26,191,5
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.605457598656591100549917427998,12.183726549148559570312500000000,10,523,33,91,5
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.738623005877413918440765883133,134.524217605590820312500000000000,2576,595,41,50,1
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.643324937027707766112882836751,18.519067525863647460937500000000,10,1000,50,84,1
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.646431570109151976133432526694,30.520246982574462890625000000000,2125,1000,50,192,1
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.659697732997481134376016598253,34.173401594161987304687500000000,180,547,30,146,1
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.713434089000839599670200641413,96.279071092605590820312500000000,481,626,38,83,1
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.659697732997481134376016598253,28.687767982482910156250000000000,2258,545,20,245,5
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.720403022670025205975719018170,320.804072618484497070312500000000,4000,595,39,50,2
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.622753988245172140914007741230,17.873255968093872070312500000000,10,1000,50,74,5
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.649286314021830346376873421832,35.854069948196411132812500000000,2158,372,26,192,1
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.674055415617128450556094776402,57.666003704071044921875000000000,2388,541,32,101,5
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.704114189756507191653156496614,254.358100414276123046875000000000,4000,1000,50,128,1
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.672712006717044452841491875006,90.355667114257812500000000000000,2347,556,36,50,3
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.727120067170444972504128600121,992.079844713211059570312500000000,2595,565,33,114,1
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.654156171284634768703369900322,40.084568977355957031250000000000,2447,271,16,250,5
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.628379513014273749504923216591,15.910375118255615234375000000000,10,635,42,73,1
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.679261125104953844555666364613,1347.463402986526489257812500000000,3294,473,26,220,5
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.695046179680940401368616221589,65.639644384384155273437500000000,336,537,37,89,5
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.696137699412258559306110328180,784.557538032531738281250000000000,4000,542,31,123,5
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.712342569269521441732706534822,189.672801256179809570312500000000,4000,1000,50,152,1
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.674391267842149422229169886123,144.759169816970825195312500000000,4000,531,29,166,2
84,84_0,FAILED,BoTorch,GenerationStep_1,,,3972,1000,50,187,1
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.560789252728799314517971197347,11.980207681655883789062500000000,10,464,29,150,5
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.691351805205709490920185089635,153.030763864517211914062500000000,4000,625,28,140,5
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.710495382031905986508490968845,87.731783390045166015625000000000,582,508,27,80,5
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.610411418975650765794682683918,220.404023647308349609375000000000,10,489,28,121,1
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.705205709487825349590650603204,54.084026575088500976562500000000,2241,633,42,95,1
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.718639798488664993669772229623,171.641648292541503906250000000000,2731,673,10,50,1
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.723593618807724547892235023028,330.733680248260498046875000000000,1721,562,50,50,1
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.728715365239294698973537833808,409.599945068359375000000000000000,4000,1000,10,50,1
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.692863140218303974471325545892,181.498888492584228515625000000000,1050,137,50,50,1
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.734844668345927765074065973749,496.529509305953979492187500000000,1508,494,10,50,1
95,95_0,RUNNING,BoTorch,GenerationStep_1,,,2866,647,50,50,1
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.710159529806885014835415859125,208.182014942169189453125000000000,1419,499,50,50,5
97,97_0,FAILED,BoTorch,GenerationStep_1,,,4000,722,10,187,1
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.603610411418975645325701862021,10.585102319717407226562500000000,10,100,10,50,1
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.729806884970612967933334402915,189.689577817916870117187500000000,2775,1000,10,50,1
100,100_0,RUNNING,BoTorch,GenerationStep_1,,,1179,1000,10,73,1
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.757430730478589442355996652623,387.531242609024047851562500000000,4000,503,10,50,1
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.742065491183879100134390682797,475.639401912689208984375000000000,4000,283,50,50,1
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.718387909319899264914965897333,324.871183156967163085937500000000,4000,1000,10,50,5
104,104_0,FAILED,BoTorch,GenerationStep_1,,,2166,848,50,50,1
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.593282955499580211267129925545,9.049949884414672851562500000000,10,100,10,50,5
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.720151133501259477220912685880,197.790322542190551757812500000000,864,567,50,50,1
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.642989084802686794439807727031,240.816392183303833007812500000000,10,531,10,50,1
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.702015113350125896651832135831,338.716910839080810546875000000000,1894,100,10,50,1
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.604785894206549157203767208557,10.686228513717651367187500000000,10,111,50,50,1
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.704534005037783406244500383764,332.531161069869995117187500000000,4000,100,10,50,1
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.732157850545759880667162633472,426.273351430892944335937500000000,1903,756,10,50,1
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.682199832073887457717376037181,184.122193336486816406250000000000,617,815,10,50,5
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.678001679261125089759332240646,25.809446334838867187500000000000,2040,1000,50,50,5
114,114_0,FAILED,BoTorch,GenerationStep_1,,,10,100,47,50,5
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.596221662468513824428839598113,7.518453121185302734375000000000,10,100,43,175,1
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.654659949622166226212982564903,199.187878847122192382812500000000,1675,100,50,50,5
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.717632241813601967628244437947,435.149018526077270507812500000000,4000,743,50,50,1
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.654408060453400497458176232612,159.117424726486206054687500000000,1603,1000,10,250,1
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.666162888329135172149619847914,129.150972843170166015625000000000,4000,1000,10,250,1
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.690512174643157061737497315335,76.887488603591918945312500000000,683,233,50,116,3
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.702938706968933679775091150077,244.214117765426635742187500000000,1606,934,30,88,3
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.721494542401343363913213124761,140.160278797149658203125000000000,2631,1000,50,70,2
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.634760705289672544360257688822,81.963191270828247070312500000000,741,100,10,100,4
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.676910159529806931821838134056,78.878663063049316406250000000000,2867,981,38,250,2
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.717968094038623050323622010183,272.979390859603881835937500000000,1400,905,10,75,3
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.642989084802686794439807727031,70.027399301528930664062500000000,593,100,50,143,3
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.696473551637279642001487900416,181.121186256408691406250000000000,1517,1000,50,105,3
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.716204869857262838017675221636,286.609771966934204101562500000000,1723,1000,22,90,1
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.658018471872376164988338587136,99.090069532394409179687500000000,764,100,50,68,4
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.644332493702770792154410628427,66.862190485000610351562500000000,2934,100,50,250,2
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.705793450881612050018532045215,98.725658178329467773437500000000,683,658,50,119,3
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.628127623845508020750116884301,94.889789104461669921875000000000,1365,100,50,250,2
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.698068849706129257448594671587,278.296768903732299804687500000000,1666,1000,10,50,4
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.726196473551637300403172048391,128.284535408020019531250000000000,2597,1000,32,69,1
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.665323257766582742966932073614,69.638697385787963867187500000000,1283,100,10,250,3
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.670948782535684351557847548975,65.610407114028930664062500000000,696,100,10,140,3
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.686565910999160422534259851091,91.148803234100341796875000000000,2873,1000,10,166,3
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.664147774979009231088866727077,76.816322326660156250000000000000,833,100,10,130,3
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.653484466834592825357219680882,136.887045621871948242187500000000,1358,1000,10,147,4
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.616960537363560046486554711009,71.124472618103027343750000000000,825,150,50,104,5
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.667086481947942955272878862161,155.705794095993041992187500000000,1497,672,10,126,3
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.712006717044500470059631425102,204.269793272018432617187500000000,1564,1000,10,82,2
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.704198152812762434571425274044,251.601221084594726562500000000000,1541,844,50,104,1
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.669353484466834625088438315288,192.733649492263793945312500000000,1330,100,10,50,4
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.698320738874895097225703466393,72.972311496734619140625000000000,664,197,50,127,1
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.694458438287153700940734779579,208.760243654251098632812500000000,1711,1000,50,108,3
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.651049538203190558682820210379,137.134091377258300781250000000000,1291,1000,50,250,2
148,148_0,FAILED,BoTorch,GenerationStep_1,,,599,100,50,92,4
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.653904282115869039948563568032,90.396180629730224609375000000000,687,100,50,70,2
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.722250209907640661199934584147,84.447041988372802734375000000000,617,512,50,103,2
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.684802686817800210228313062544,69.391847848892211914062500000000,642,460,50,198,2
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.728127623845507998545656391798,343.283031463623046875000000000000,1464,672,50,50,1
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.675314861460957205352428900369,75.256856679916381835937500000000,825,404,50,250,1
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.717968094038623050323622010183,106.181307792663574218750000000000,600,503,50,82,1
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.708900083963056260039081735158,83.851648569107055664062500000000,629,491,50,149,2
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.671536523929471051985728990985,61.194163084030151367187500000000,800,381,10,250,3
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.659445843828715405621210265963,50.012110471725463867187500000000,620,477,50,250,3
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.723593618807724547892235023028,350.781143903732299804687500000000,3562,622,50,51,1
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.717716204869857210546513215377,190.292778253555297851562500000000,3408,739,10,120,1
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.621494542401343386117673617264,94.126241445541381835937500000000,3030,618,10,250,1
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.690680100755667547574034870195,112.983471870422363281250000000000,566,548,50,50,3
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.699160369437447526408391240693,269.274705886840820312500000000000,1491,643,50,50,3
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.724685138539042816852031592134,235.445698738098144531250000000000,3142,1000,50,69,1
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.690512174643157061737497315335,65.879987001419067382812500000000,560,496,50,151,3
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.720486985726280448893987795600,86.505706548690795898437500000000,713,524,50,133,1
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.644332493702770792154410628427,116.957346200942993164062500000000,3138,685,50,250,1
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.692275398824517163021141641366,118.398233652114868164062500000000,2899,826,50,97,2
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.697649034424853042857250784436,418.895252704620361328125000000000,437,535,50,50,5
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.683291351805205726677172606287,55.429062604904174804687500000000,644,260,50,250,2
170,170_0,FAILED,BoTorch,GenerationStep_1,,,1045,447,10,250,2
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.646431570109151976133432526694,48.894948720932006835937500000000,442,564,50,182,3
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.685642317380352639411000836844,146.260852575302124023437500000000,3005,758,50,136,1
173,173_0,FAILED,BoTorch,GenerationStep_1,,,1719,758,50,50,1
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.719563392107472665770728781354,257.977362632751464843750000000000,1381,527,50,69,1
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.704030226700251837712585256668,290.721381664276123046875000000000,3696,803,10,50,3
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.682955499580184755004097496567,62.888544321060180664062500000000,619,482,50,185,1
177,177_0,FAILED,BoTorch,GenerationStep_1,,,1251,457,10,98,1
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.659109991603694322925832693727,130.760386705398559570312500000000,4000,100,50,250,1
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.715449202350965540730953762250,94.452965736389160156250000000000,2834,710,10,153,1
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.729890848026868210851603180345,140.437126398086547851562500000000,2748,1000,10,50,4
181,181_0,FAILED,BoTorch,GenerationStep_1,,,1351,550,50,250,5
182,182_0,FAILED,BoTorch,GenerationStep_1,,,2886,790,10,50,3
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.721074727120067149321869237610,297.765431404113769531250000000000,3314,1000,10,50,1
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.703190596137699408529897482367,114.996648073196411132812500000000,695,473,10,102,1
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.711922753988245227141362647671,207.793739795684814453125000000000,3054,1000,10,50,3
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.689084802686817821104625636508,92.701134920120239257812500000000,1326,390,10,250,5
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.725692695214105842893559383810,149.738674879074096679687500000000,2882,1000,50,50,4
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.736691855583543220298281539726,209.090581655502319335937500000000,3103,676,10,50,2
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.718387909319899264914965897333,56.988203525543212890625000000000,403,458,10,129,2
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.688497061293031120676744194498,58.230275154113769531250000000000,317,559,50,90,3
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.717548278757346724709975660517,141.067939281463623046875000000000,2458,846,10,50,1
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.683123425692695240840635051427,64.753896713256835937500000000000,2577,1000,10,250,2
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.729135180520570913564881720959,131.158451795578002929687500000000,2695,1000,50,50,5
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.693618807724601160735744542762,222.713238477706909179687500000000,3573,1000,50,78,3
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.712006717044500470059631425102,266.290936231613159179687500000000,3403,327,50,50,2
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.694710327455919429695541111869,53.858572006225585937500000000000,218,562,10,50,3
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.722502099076406389954740916437,70.895862340927124023437500000000,456,497,50,116,1
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.683291351805205726677172606287,93.825459957122802734375000000000,2668,779,10,112,3
199,199_0,FAILED,BoTorch,GenerationStep_1,,,3692,445,10,50,1
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.721158690176322392240138015040,81.546339511871337890625000000000,587,458,10,147,1
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.663979848866498745252329172217,93.203672170639038085937500000000,1610,837,10,250,5
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.725020990764063788525106701854,98.397296905517578125000000000000,2496,1000,50,50,4
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.663979848866498745252329172217,68.369007825851440429687500000000,992,266,50,250,5
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.737027707808564191971356649447,76.625757455825805664062500000000,2230,994,50,50,1
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.667338371116708684027685194451,43.490630149841308593750000000000,121,543,50,50,3
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.598908480268681819858045400906,15.093684911727905273437500000000,10,1000,50,250,2
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.686985726280436637125603738241,188.416741132736206054687500000000,3653,1000,10,106,3
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.701679261125104924978757026111,41.712797641754150390625000000000,217,492,10,131,3
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.727204030226700215422397377552,170.453237771987915039062500000000,2871,1000,50,50,3
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.680604534005037731247966803494,219.081362724304199218750000000000,3216,627,50,50,3
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.686230058774139339838882278855,83.908075809478759765625000000000,313,372,50,94,1
212,212_0,RUNNING,BoTorch,GenerationStep_1,,,3237,619,10,50,1
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.708732157850545774202544180298,177.986935377120971679687500000000,3091,482,50,50,5
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.712930310663308142160587976832,240.295902490615844726562500000000,1141,795,50,50,1
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.699916036943744712672810237564,73.362834930419921875000000000000,320,444,10,92,1
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.704114189756507191653156496614,223.152752161026000976562500000000,3128,329,10,50,3
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.714945424013434083221341097669,160.597113132476806640625000000000,3242,637,50,87,3
218,218_0,RUNNING,BoTorch,GenerationStep_1,,,2731,661,10,250,2
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.664315701091519716925404281938,43.517781257629394531250000000000,2377,1000,50,250,3
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.641141897565071339215592161054,49.504779100418090820312500000000,307,233,10,95,2
221,221_0,RUNNING,BoTorch,GenerationStep_1,,,3240,557,10,50,5
222,222_0,RUNNING,BoTorch,GenerationStep_1,,,1626,100,50,250,5
223,223_0,RUNNING,BoTorch,GenerationStep_1,,,2659,1000,50,50,3
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.695717884130982344714766441029,51.500942945480346679687500000000,262,314,50,112,2
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.738958858102434890113840992854,85.761428356170654296875000000000,2396,1000,50,88,1
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.682703610411419026249291164277,115.888468742370605468750000000000,2702,869,10,250,3
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.648278757346767431357648092671,39.138739585876464843750000000000,247,100,50,120,3
228,228_0,RUNNING,BoTorch,GenerationStep_1,,,3306,678,10,50,3
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.726112510495382057484903270961,219.369823932647705078125000000000,1251,939,50,50,5
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.644752308984047006745754515578,54.413919687271118164062500000000,2659,597,50,250,1
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.709655751469353446303500732029,154.950115203857421875000000000000,2632,808,50,50,1
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.704450041981528163326231606334,153.610854625701904296875000000000,2906,664,10,50,5
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.653316540722082228498379663506,96.700543642044067382812500000000,3412,1000,50,250,2
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.707388748950461776487941278901,173.326828718185424804687500000000,2898,345,50,50,3
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.694710327455919429695541111869,149.321518421173095703125000000000,3081,101,10,50,5
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.647271200671704405316120300995,39.597666740417480468750000000000,2373,100,50,250,2
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.730814441645675882952559732075,68.322789192199707031250000000000,258,1000,50,73,1
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.681780016792611243126032150030,53.423233032226562500000000000000,2749,759,10,250,5
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.662804366078925233374263825681,84.052024126052856445312500000000,1696,100,10,250,5
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.722586062132661632873009693867,151.405920982360839843750000000000,2449,865,35,50,1
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.741141897565071317011131668551,430.585897207260131835937500000000,1896,909,34,50,1
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.689588581024349278614238301088,126.934675693511962890625000000000,2705,695,32,62,5
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.682199832073887457717376037181,101.126491785049438476562500000000,1590,538,26,185,4
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.710243492863140257753684636555,103.541192293167114257812500000000,506,788,33,75,1
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.731821998320738908994087523752,186.065780401229858398437500000000,2703,926,31,50,1
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.713182199832073870915394309122,102.919258356094360351562500000000,2301,1000,32,67,5
247,247_0,FAILED,BoTorch,GenerationStep_1,,,4000,650,46,50,1
248,248_0,FAILED,BoTorch,GenerationStep_1,,,2837,838,35,50,1
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.675062972292191476597622568079,24.692607641220092773437500000000,2011,837,35,70,1
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.734340890008396307564453309169,360.027990341186523437500000000000,1615,663,35,50,1
251,251_0,FAILED,BoTorch,GenerationStep_1,,,415,735,33,111,2
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.728295549958018484382193946658,127.973975896835327148437500000000,2757,1000,31,50,4
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.737279596977329920726162981737,384.085204601287841796875000000000,3905,652,14,50,1
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.696221662468513802224379105610,119.973476648330688476562500000000,510,826,41,62,1
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.726784214945424000831053490401,177.820286035537719726562500000000,2532,1000,13,50,1
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.693870696893366889490550875053,140.076499462127685546875000000000,2760,846,34,50,3
257,257_0,FAILED,BoTorch,GenerationStep_1,,,3847,768,35,50,1
258,258_0,FAILED,BoTorch,GenerationStep_1,,,2387,1000,43,50,1
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.694290512174643104081894762203,82.792953491210937500000000000000,2619,709,42,154,3
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.679429051217464330392203919473,233.229790687561035156250000000000,1696,173,35,78,1
261,261_0,FAILED,BoTorch,GenerationStep_1,,,1534,816,32,50,1
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.710915197313182201099834855995,428.797314167022705078125000000000,4000,756,16,50,1
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.738706968933669161359034660563,326.565787792205810546875000000000,3743,532,19,50,1
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.727371956339210701258934932412,258.573132038116455078125000000000,3222,609,15,50,1
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.678925272879932872882591254893,531.432709217071533203125000000000,449,889,33,50,3
266,266_0,FAILED,BoTorch,GenerationStep_1,,,3092,973,31,50,1
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.722670025188916875791278471297,162.480338573455810546875000000000,2580,1000,47,50,1
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.740386230058774130746712671680,498.763896465301513671875000000000,4000,498,18,50,1
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.742989084802686772235347234528,321.817734479904174804687500000000,1586,509,34,50,1
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.718052057094878293241890787613,96.453120946884155273437500000000,2732,1000,10,112,5
271,271_0,FAILED,BoTorch,GenerationStep_1,,,2793,1000,10,104,4
272,272_0,RUNNING,BoTorch,GenerationStep_1,,,2692,652,32,239,4
273,273_0,FAILED,BoTorch,GenerationStep_1,,,2939,1000,10,109,5
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.716792611251049538445556663646,94.597431421279907226562500000000,2548,1000,10,95,3
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.734256926952141064646184531739,94.952549219131469726562500000000,2366,1000,50,62,1
276,276_0,FAILED,BoTorch,GenerationStep_1,,,2534,1000,10,116,5
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.721746431570109203690321919566,360.405755043029785156250000000000,4000,563,10,89,1
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.681696053736356000207763372600,112.132218837738037109375000000000,3160,769,10,153,5
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.725356842989084760198181811575,321.512810707092285156250000000000,4000,595,10,72,1
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.706801007556675076060059836891,94.864481210708618164062500000000,2732,1000,50,113,5
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.694626364399664186777272334439,136.615810394287109375000000000000,2932,404,10,109,5
282,282_0,FAILED,BoTorch,GenerationStep_1,,,2979,716,10,113,5
283,283_0,FAILED,BoTorch,GenerationStep_1,,,623,513,10,173,1
284,284_0,RUNNING,BoTorch,GenerationStep_1,,,3225,815,10,149,3
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.667590260285474412782491526741,58.576917886734008789062500000000,2802,541,50,241,5
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.712090680100755712977900202532,85.220182418823242187500000000000,2578,1000,10,110,5
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.670948782535684351557847548975,90.532495498657226562500000000000,1315,520,50,204,5
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.671284634760705323230922658695,58.686961650848388671875000000000,2728,1000,50,239,4
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.675986565910999148698579119809,60.635384798049926757812500000000,2630,1000,10,238,3
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.682787573467674269167559941707,138.395116090774536132812500000000,3600,837,50,153,5
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.603778337531486131162239416881,926.215269565582275390625000000000,3361,103,50,155,4
292,292_0,FAILED,BoTorch,GenerationStep_1,,,3010,1000,50,100,5
293,293_0,FAILED,BoTorch,GenerationStep_1,,,3746,483,10,98,1
294,294_0,FAILED,BoTorch,GenerationStep_1,,,3790,535,10,67,1
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.732409739714525609421968965762,310.052026510238647460937500000000,4000,638,50,82,1
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.687573467674223337553485180251,146.116945028305053710937500000000,1242,348,10,170,1
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.683123425692695240840635051427,186.618403911590576171875000000000,3433,130,10,82,1
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.740386230058774130746712671680,88.447931766510009765625000000000,2341,1000,10,69,1
299,299_0,FAILED,BoTorch,GenerationStep_1,,,3563,430,50,144,3
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
⚠ Job 3159639 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159639/3159639_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159639/3159639_0_log.out


⚠ Job 3159678 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159678/3159678_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159678/3159678_0_log.out


⚠ Job 3159717 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159717/3159717_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159717/3159717_0_log.out


⚠ Job 3159725 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159725/3159725_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159725/3159725_0_log.out


⚠ Job 3159734 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159734/3159734_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159734/3159734_0_log.out


⚠ Job 3159662 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159662/3159662_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3159662 ON i7088 CANCELLED AT 2025-03-12T20:52:27 DUE TO TIME LIMIT ***



⚠ Job 3159738 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3159738/3159738_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3159738 ON i7173 CANCELLED AT 2025-03-12T20:57:57 DUE TO TIME LIMIT ***



⚠ Job 3178004 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178004/3178004_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178004/3178004_0_log.out


⚠ Job 3178014 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178014/3178014_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178014/3178014_0_log.out


⚠ Job 3178022 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178022/3178022_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178022/3178022_0_log.out


⚠ Job 3178023 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178023/3178023_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178023/3178023_0_log.out


⚠ Job 3178033 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178033/3178033_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178033/3178033_0_log.out


⚠ Job 3178046 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178046/3178046_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178046/3178046_0_log.out


⚠ Job 3178057 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178057/3178057_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178057/3178057_0_log.out


⚠ Job 3178069 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178069/3178069_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178069/3178069_0_log.out

Job SlurmJob&lt;job_id=3180821, task_id=0, state=&quot;FAILED&quot;&gt;, state not in &#039;completed&#039;, &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;], which would be removed from the job list, or &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;], which would be ignored: failed

Job SlurmJob&lt;job_id=3180821, task_id=0, state=&quot;FAILED&quot;&gt;, state not in &#039;completed&#039;, &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;], which would be removed from the job list, or &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;], which would be ignored: failed


⚠ Job 3180821 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3180821/3180821_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3180821/3180821_0_log.out


⚠ Job 3184746 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3184746/3184746_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3184746/3184746_0_log.out


⚠ Job 3184771 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3184771/3184771_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3184771/3184771_0_log.out


⚠ Job 3184810 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3184810/3184810_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3184810/3184810_0_log.out


⚠ Job 3188054 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3188054/3188054_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3188054 ON i7031 CANCELLED AT 2025-03-13T04:48:10 DUE TO TIME LIMIT ***



⚠ Job 3191564 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3191564/3191564_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3191564/3191564_0_log.out


⚠ Job 3191578 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3191578/3191578_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3191578/3191578_0_log.out


⚠ Job 3191570 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3191570/3191570_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3191570 ON i7084 CANCELLED AT 2025-03-13T05:44:13 DUE TO TIME LIMIT ***



⚠ Job 3195501 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195501/3195501_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195501/3195501_0_log.out


⚠ Job 3195502 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195502/3195502_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195502/3195502_0_log.out


⚠ Job 3195546 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195546/3195546_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3195546/3195546_0_log.out


⚠ Job 3200313 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3200313/3200313_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3200313 ON i7148 CANCELLED AT 2025-03-13T08:34:18 DUE TO TIME LIMIT ***



⚠ Job 3200316 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3200316/3200316_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3200316 ON i7146 CANCELLED AT 2025-03-13T08:34:18 DUE TO TIME LIMIT ***



⚠ Job 3200324 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3200324/3200324_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3200324 ON i7133 CANCELLED AT 2025-03-13T08:34:18 DUE TO TIME LIMIT ***



⚠ Job 3200344 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3200344/3200344_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3200344 ON i7131 CANCELLED AT 2025-03-13T08:34:48 DUE TO TIME LIMIT ***



⚠ Job 3200348 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3200348/3200348_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3200348 ON i7128 CANCELLED AT 2025-03-13T08:34:48 DUE TO TIME LIMIT ***



⚠ Job 3200360 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3200360/3200360_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3200360 ON i7110 CANCELLED AT 2025-03-13T08:34:48 DUE TO TIME LIMIT ***



⚠ Job 3200375 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3200375/3200375_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3200375 ON i7083 CANCELLED AT 2025-03-13T08:34:48 DUE TO TIME LIMIT ***



⚠ Job 3202998 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3202998/3202998_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3202998/3202998_0_log.out


⚠ Job 3203022 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203022/3203022_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203022/3203022_0_log.out


⚠ Job 3203023 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203023/3203023_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203023/3203023_0_log.out


⚠ Job 3202989 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3202989/3202989_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3202989 ON i7128 CANCELLED AT 2025-03-13T09:55:20 DUE TO TIME LIMIT ***



⚠ Job 3202992 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3202992/3202992_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3202992 ON i7125 CANCELLED AT 2025-03-13T09:55:20 DUE TO TIME LIMIT ***



⚠ Job 3203009 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203009/3203009_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3203009 ON i7119 CANCELLED AT 2025-03-13T09:55:50 DUE TO TIME LIMIT ***



⚠ Job 3203011 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203011/3203011_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3203011 ON i7118 CANCELLED AT 2025-03-13T09:55:50 DUE TO TIME LIMIT ***



⚠ Job 3203021 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203021/3203021_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3203021 ON i7173 CANCELLED AT 2025-03-13T09:56:20 DUE TO TIME LIMIT ***



⚠ Job 3203028 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203028/3203028_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3203028 ON i7110 CANCELLED AT 2025-03-13T09:56:20 DUE TO TIME LIMIT ***


</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>500                                                                                                                                                      </td></tr><tr><td> run_program</td><td>[[&#039;bW9kdWxlIGxvYWQgR0NDY29yZS8xMC4zLjAgUHl0aG9uICYmIHNvdXJjZSAvZGF0YS9ob3JzZS93cy9zNDEyMjQ4NS1jb21wUGVyZkREL2JlbmNobWFyay92ZW52L2Jpbi9hY3RpdmF0ZSAmJiBw&hellip; </td></tr><tr><td> experiment_name</td><td>IBDD_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME                                                                                                       </td></tr><tr><td> mem_gb</td><td>32                                                                                                                                                       </td></tr><tr><td> parameter</td><td>[[&#039;recent_samples_size&#039;, &#039;range&#039;, &#039;10&#039;, &#039;4000&#039;, &#039;int&#039;], [&#039;n_samples&#039;, &#039;range&#039;, &#039;100&#039;, &#039;1000&#039;, &#039;int&#039;], [&#039;n_permutations&#039;, &#039;range&#039;, &#039;10&#039;, &#039;50&#039;, &#039;int&#039;],    </td></tr><tr><td></td><td>[&#039;update_interval&#039;, &#039;range&#039;, &#039;50&#039;, &#039;250&#039;, &#039;int&#039;], [&#039;n_consecutive_deviations&#039;, &#039;range&#039;, &#039;1&#039;, &#039;5&#039;, &#039;int&#039;]]                                                </td></tr><tr><td> continue_previous_job</td><td>None                                                                                                                                                     </td></tr><tr><td> maximize</td><td>False                                                                                                                                                    </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                                                     </td></tr><tr><td> stderr_to_stdout</td><td>False                                                                                                                                                    </td></tr><tr><td> run_dir</td><td>runs                                                                                                                                                     </td></tr><tr><td> seed</td><td>None                                                                                                                                                     </td></tr><tr><td> decimalrounding</td><td>12                                                                                                                                                       </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>BOTORCH_MODULAR                                                                                                                                          </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>True                                                                                                                                                     </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>50                                                                                                                                                       </td></tr><tr><td> disable_search_space_exhaustion_detection</td><td>False                                                                                                                                                    </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> max_parallelism</td><td>max_eval_times_thousand_plus_thousand                                                                                                                    </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                                                   </td></tr><tr><td> result_names</td><td>[&#039;ACCURACY=max&#039;, &#039;RUNTIME=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>True                                                                                                                                                     </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                                                     </td></tr><tr><td> num_parallel_jobs</td><td>30                                                                                                                                                       </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>1260                                                                                                                                                     </td></tr><tr><td> partition</td><td>romeo                                                                                                                                                    </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">1741783528.9031162,30,0,0
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</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>
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<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1741783528,595.515625,41.2
1741783528,595.69921875,43.0
1741783528,595.74609375,41.7
1741783528,595.74609375,46.8
1741783528,595.74609375,32.4
1741783528,595.74609375,41.4
1741783528,595.74609375,44.7
1741783589,611.453125,40.6
1741783589,611.453125,29.4
1741783589,611.453125,40.8
1741783589,611.453125,46.7
1741809959,691.5390625,39.4
1741809959,691.5390625,37.2
1741809959,691.5390625,37.5
1741809959,691.5390625,41.3
1741820227,688.34765625,38.4
1741820227,688.34765625,41.3
1741820227,688.34765625,41.3
1741820227,688.34765625,39.5
1741828600,708.375,40.4
1741828600,708.375,41.2
1741828600,708.375,41.5
1741828600,708.375,45.7
1741834111,720.6171875,38.9
1741834111,720.6171875,36.4
1741834111,720.6171875,36.6
1741834111,720.6171875,29.0
1741838902,747.6875,40.1
1741838902,747.6875,41.3
1741838902,747.6875,41.1
1741838902,747.6875,44.9
1741842752,775.0859375,40.7
1741842752,775.0859375,37.5
1741842752,775.0859375,36.5
1741842752,775.0859375,27.0
1741844684,725.8515625,40.7
1741844684,725.8515625,41.7
1741844684,725.8515625,41.5
1741844684,725.8515625,45.7
1741849489,744.71875,41.5
1741849489,744.71875,39.3
1741849489,744.71875,39.2
1741849489,744.71875,44.4
1741854423,794.20703125,41.2
1741854423,794.20703125,41.4
1741854423,794.20703125,41.0
1741854423,794.20703125,29.4
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			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;Heatmap</h1>
			<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
			    <h1>Correlation Heatmap Explanation</h1>
			
			    <p>
			        This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
			    </p>
			
			    <h2>How It Works</h2>
			    <p>
			        The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
			    </p>
			    <ul>
			        <li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
			        <li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
			        <li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
			    </ul>
			
			    <h2>Color Scale: Yellow to Purple (Viridis)</h2>
			    <p>
			        The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
			    </p>
			    <ul>
			        <li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
			        <li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
			        <li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
			        <li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
			    </ul>
			
			    <h2>What the Heatmap Shows</h2>
			    <p>
			        In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
			    </p>
			
			<h1>&nbsp;Result-Pairs</h1>
			<div class="invert_in_dark_mode" id="plotResultPairs"></div>
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
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