Experiment overview:

Experiment parameters:

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Result names and types:

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trial_index,arm_name,trial_status,generation_method,generation_node,recent_samples_size,n_samples,const,max_depth,threshold
0,0_0,FAILED,Sobol,GenerationStep_0,1616,166,7.426549670994282870140068553155,19,0.952987361311912528627487972699
1,1_0,FAILED,Sobol,GenerationStep_0,4575,4220,2.723967261798679651008114888100,9,0.260637365708127621832801423807
2,2_0,FAILED,Sobol,GenerationStep_0,3291,1803,8.635115817170589735951580223627,11,0.147747184250503788005559613339
3,3_0,FAILED,Sobol,GenerationStep_0,332,2739,1.510518819340504581560935548623,2,0.574309574075043238750026830530
4,4_0,FAILED,Sobol,GenerationStep_0,677,2304,4.289996911054477557456721115159,5,0.647797864343971019351897666638
5,5_0,FAILED,Sobol,GenerationStep_0,3010,3233,5.875175440645777236170488322387,13,0.076086130410432814552557090337
6,6_0,FAILED,Sobol,GenerationStep_0,4225,660,0.581680755565874285650806996273,7,0.455160013502463711709822291596
7,7_0,FAILED,Sobol,GenerationStep_0,1892,4721,9.588373845854773591668163135182,17,0.760535941543057592006960021536
8,8_0,FAILED,Sobol,GenerationStep_0,2296,1290,1.187544804815202859060718765249,14,0.353200125595554692559119303041
9,9_0,FAILED,Sobol,GenerationStep_0,4005,2861,8.976407040328718167643273773137,4,0.924743262933567122807687610475
10,10_0,FAILED,Sobol,GenerationStep_0,2799,434,4.900742856157012994344768230803,16,0.546020581852644681930541992188
11,11_0,FAILED,Sobol,GenerationStep_0,1089,3873,5.268091089710593699635410303017,7,0.240354498729109772314771475976
12,12_0,FAILED,Sobol,GenerationStep_0,111,1241,8.035355418178252051575327641331,10,0.045878576744347809857060838112
13,13_0,FAILED,Sobol,GenerationStep_0,3695,4687,2.113941110493615216370244525024,18,0.738425674550235222604044338368
14,14_0,FAILED,Sobol,GenerationStep_0,4989,2104,6.821907180590555341836989100557,1,0.851179753331467559007705858676
15,15_0,FAILED,Sobol,GenerationStep_0,1405,3668,3.322506800367496904158315373934,12,0.424936101341620076077276735305
16,16_0,FAILED,Sobol,GenerationStep_0,1455,1925,9.210409587346017445952384150587,6,0.607457477945834378729728086910
17,17_0,FAILED,Sobol,GenerationStep_0,4747,3496,0.641063897510059210738120327733,18,0.177339283011853698912574373026
18,18_0,FAILED,Sobol,GenerationStep_0,3452,1070,5.346240823679604403650955646299,4,0.289582738814875506605517330172
19,19_0,FAILED,Sobol,GenerationStep_0,161,4509,4.510114910896867890244266163791,14,0.986051967913284865829837144702
20,20_0,FAILED,Sobol,GenerationStep_0,1140,607,2.192410181662999058005425467854,11,0.789633597364649220118337780150
21,21_0,FAILED,Sobol,GenerationStep_0,2555,4053,7.644427058300004240720681991661,2,0.487828702704980965432213224631
22,22_0,FAILED,Sobol,GenerationStep_0,3762,1470,3.556828908080235329691731749335,20,0.109629969339817764928390886325
23,23_0,FAILED,Sobol,GenerationStep_0,2347,3033,6.275125933165663028034941817168,8,0.677237680390477159164674958447
24,24_0,FAILED,Sobol,GenerationStep_0,2134,801,2.957978878990747073629563601571,1,0.211424353893846284080382247339
25,25_0,FAILED,Sobol,GenerationStep_0,4176,4855,6.880079016525298740702965005767,13,0.512940729320049304540418688703
26,26_0,FAILED,Sobol,GenerationStep_0,2961,2438,1.588677362740039900046440379811,9,0.891488761162385290326426456886
27,27_0,FAILED,Sobol,GenerationStep_0,919,3374,8.244497985062189115978981135413,19,0.323714624734595390886937593677
28,28_0,FAILED,Sobol,GenerationStep_0,575,1670,5.953634473161772966420812736033,16,0.391346577597782019353189753019
29,29_0,FAILED,Sobol,GenerationStep_0,3241,2599,3.899059667247347427121439977782,7,0.821785622099414414520879290649
30,30_0,FAILED,Sobol,GenerationStep_0,4525,26,9.822685728668234972360551182646,15,0.709404160086065549428724352765
31,31_0,FAILED,Sobol,GenerationStep_0,1859,4087,0.034890512464568021466781999607,3,0.013133746184408663648657267231
32,32_0,FAILED,Sobol,GenerationStep_0,1734,1759,4.789404784659855529582728195237,8,0.769162747114896738764855399495
33,33_0,FAILED,Sobol,GenerationStep_0,4380,2705,5.047432380804792728667962364852,20,0.451771731462329628747909282538
34,34_0,FAILED,Sobol,GenerationStep_0,3173,278,0.998623512780293931534458806709,2,0.081362736703827973072655765918
35,35_0,FAILED,Sobol,GenerationStep_0,528,4342,8.833331402963958467466909496579,11,0.633384297018870667805856555788
36,36_0,FAILED,Sobol,GenerationStep_0,793,773,6.613450669061393227821099571884,14,0.581139449188485701647266523651
37,37_0,FAILED,Sobol,GenerationStep_0,2815,4844,3.238022741296328721460895394557,5,0.135435133261606110988140017071
38,38_0,FAILED,Sobol,GenerationStep_0,4109,2261,7.904482052688488025182778073940,18,0.271061122186481928686418996222
39,39_0,FAILED,Sobol,GenerationStep_0,2087,3200,1.951873756386339753277070485638,6,0.951944200549274643918806759757
40,40_0,FAILED,Sobol,GenerationStep_0,2491,323,8.550629299653694559424366161693,3,0.419613810233771811208924873426
41,41_0,FAILED,Sobol,GenerationStep_0,3887,3752,1.302064617260359158379401378625,15,0.865639005471020905879697693308
42,42_0,FAILED,Sobol,GenerationStep_0,2603,1335,7.264480109873228563799330004258,7,0.729875010335817919759904270904
43,43_0,FAILED,Sobol,GenerationStep_0,1208,2896,2.593096354754641730266939703142,16,0.049190717427060007271855113231
44,44_0,FAILED,Sobol,GenerationStep_0,306,2148,0.361019588214345321652842812910,19,0.229945970522239806488329350032
45,45_0,FAILED,Sobol,GenerationStep_0,3578,3702,9.477038083806633039785083383322,10,0.547048496684059526451449073647
46,46_0,FAILED,Sobol,GenerationStep_0,4794,1129,4.146918964240700944401396554895,13,0.917806789919733967408888020145
47,47_0,FAILED,Sobol,GenerationStep_0,1522,4565,5.686256607056596301674744609045,1,0.365618774484843034322523180890
48,48_0,FAILED,Sobol,GenerationStep_0,1260,957,1.848394777143373968186779165990,17,0.666311390953138515946818642988
49,49_0,FAILED,Sobol,GenerationStep_0,4863,4385,8.316777500058524452697383821942,6,0.110201036026701337799948987595
50,50_0,FAILED,Sobol,GenerationStep_0,3647,1968,2.983878623357973935981135582551,13,0.481470904007554045822558919099
51,51_0,FAILED,Sobol,GenerationStep_0,44,3530,7.186176052561030758170090848580,5,0.802448181312531261255571735092
52,52_0,FAILED,Sobol,GenerationStep_0,945,1513,9.868111305736936955668170412537,3,0.981247438035905306108475087967
53,53_0,FAILED,Sobol,GenerationStep_0,2674,3067,0.282405654992908261569084515941,11,0.304498839098960139004645952809
54,54_0,FAILED,Sobol,GenerationStep_0,3957,494,6.232877496771514813644898822531,9,0.168209944481030104768137789506
55,55_0,FAILED,Sobol,GenerationStep_0,2228,3930,3.912757214237935876610663399333,20,0.610373683569952807381753245863
56,56_0,FAILED,Sobol,GenerationStep_0,2018,2393,5.593753507762216692356105340878,12,0.019567686239257454927642498888
57,57_0,FAILED,Sobol,GenerationStep_0,4371,3340,4.555542797414586786430845677387,1,0.696513434780761553355432624812
58,58_0,FAILED,Sobol,GenerationStep_0,3077,913,9.224104824887588094384227588307,18,0.832666226722300062412784882326
59,59_0,FAILED,Sobol,GenerationStep_0,724,4977,0.920309379565529606104234972008,10,0.390821195725351566707672645862
60,60_0,RUNNING,Sobol,GenerationStep_0,457,137,3.629105964630842340312710803119,8,0.332737365365028403552116742503
61,61_0,RUNNING,Sobol,GenerationStep_0,3436,4209,6.534845657018014009054240887053,16,0.888679153438657554175961195142
62,62_0,RUNNING,Sobol,GenerationStep_0,4643,1625,2.498504908249713718504381176899,4,0.517760487468913233044531807536
63,63_0,RUNNING,Sobol,GenerationStep_0,1664,2564,7.670329261112958540991257905262,15,0.196493025338277227387351331345
64,64_0,RUNNING,Sobol,GenerationStep_0,1704,2192,2.058309053866192783743827021681,1,0.443755162807181469108996907380
65,65_0,RUNNING,Sobol,GenerationStep_0,4682,3131,8.087325508146546937382481701206,12,0.777661119913682363780083051097
66,66_0,RUNNING,Sobol,GenerationStep_0,3398,704,3.428220823395065952610138992895,10,0.624819151818752249738508908194
67,67_0,RUNNING,Sobol,GenerationStep_0,420,4775,6.722296286331490122734066972043,18,0.089434597071260210632281939525
68,68_0,RUNNING,Sobol,GenerationStep_0,763,268,9.043062246111221114119871344883,16,0.126869779862463477604350714500
69,69_0,RUNNING,Sobol,GenerationStep_0,3118,4332,1.126992280811071278634472037083,8,0.589211101356893807157177889167
70,70_0,RUNNING,Sobol,GenerationStep_0,4334,1749,5.173400662828237628332317399327,15,0.943927899578586249162981403060
71,71_0,RUNNING,Sobol,GenerationStep_0,1980,2695,4.991771763370373093948728637770,4,0.279559762669727207562431203769
72,72_0,RUNNING,Sobol,GenerationStep_0,2189,1139,5.813440851236694406622973474441,6,0.874143326813355048265918867401
73,73_0,RUNNING,Sobol,GenerationStep_0,3917,4575,4.355393169129268216011041658930,17,0.411603190122172224452157252017
74,74_0,RUNNING,Sobol,GenerationStep_0,2711,2158,9.678219942679628928772217477672,5,0.057268050454556941597505925756
75,75_0,RUNNING,Sobol,GenerationStep_0,983,3712,0.485731827965937557056719242610,13,0.721315337795764177641899550508
76,76_0,RUNNING,Sobol,GenerationStep_0,3,1402,2.774754690375178967087776982225,11,0.555126097396016149332353961654
77,77_0,RUNNING,Sobol,GenerationStep_0,3608,2963,7.369659365081228763472154241754,3,0.221386565666645773742260416839
78,78_0,RUNNING,Sobol,GenerationStep_0,4901,390,1.409725710679776922162886876322,20,0.374122887628152989147878315634
79,79_0,RUNNING,Sobol,GenerationStep_0,1297,3819,8.739570743493736415530293015763,9,0.909795961609110248602405590646
80,80_0,RUNNING,Sobol,GenerationStep_0,1562,524,3.807992616876028524330877189641,15,0.118692149743437766473697081437
81,81_0,RUNNING,Sobol,GenerationStep_0,4833,3960,6.048363043202088284999717870960,3,0.658302553545683677427291513595
82,82_0,RUNNING,Sobol,GenerationStep_0,3540,1543,0.095404893310740590539609229381,16,0.810512072490528256984987365286
83,83_0,RUNNING,Sobol,GenerationStep_0,269,3097,9.756068666043692161338185542263,7,0.472913255831226730929728319097
84,84_0,RUNNING,Sobol,GenerationStep_0,1247,2018,6.979651767626405600708494603168,10,0.312562997961416844105997370207
85,85_0,RUNNING,Sobol,GenerationStep_0,2644,3580,2.852302999121136828364342363784,19,0.972690057544037700587580275169
86,86_0,RUNNING,Sobol,GenerationStep_0,3850,1006,8.192489751935935871074434544425,1,0.618864589087665062372423108172
87,87_0,RUNNING,Sobol,GenerationStep_0,2453,4435,1.644347562525421357904065189359,13,0.160200898874551050932169005137
88,88_0,RUNNING,Sobol,GenerationStep_0,2047,1578,7.539933988818899202044576668413,20,0.688510070033371501807550885133
89,89_0,RUNNING,Sobol,GenerationStep_0,4068,2516,2.293241433481685742634681446361,8,0.028064272616058587306309135556

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Download »job_infos.csv« as file

start_time,end_time,run_time,program_string,recent_samples_size,n_samples,const,max_depth,threshold,ACCURACY,RUNTIME,exit_code,signal,hostname,OO_Info_SLURM_JOB_ID
1743614360,1743614366,6,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1616 n_samples 166 const 7.426549670994283 max_depth 19 threshold 0.9529873613119125,1616,166,7.426549670994283,19,0.9529873613119125,None,None,1,None,n1705,16303423
1743614394,1743614408,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3291 n_samples 1803 const 8.63511581717059 max_depth 11 threshold 0.1477471842505038,3291,1803,8.63511581717059,11,0.1477471842505038,None,None,1,None,n1706,16303432
1743614394,1743614414,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4575 n_samples 4220 const 2.7239672617986797 max_depth 9 threshold 0.2606373657081276,4575,4220,2.7239672617986797,9,0.2606373657081276,None,None,1,None,n1710,16303427
1743614420,1743614426,6,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 677 n_samples 2304 const 4.289996911054478 max_depth 5 threshold 0.647797864343971,677,2304,4.289996911054478,5,0.647797864343971,None,None,1,None,n1705,16303441
1743614423,1743614437,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 332 n_samples 2739 const 1.5105188193405046 max_depth 2 threshold 0.5743095740750432,332,2739,1.5105188193405046,2,0.5743095740750432,None,None,1,None,n1708,16303437
1743614449,1743614455,6,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1892 n_samples 4721 const 9.588373845854774 max_depth 17 threshold 0.7605359415430576,1892,4721,9.588373845854774,17,0.7605359415430576,None,None,1,None,n1705,16303454
1743614454,1743614467,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4225 n_samples 660 const 0.5816807555658743 max_depth 7 threshold 0.4551600135024637,4225,660,0.5816807555658743,7,0.4551600135024637,None,None,1,None,n1707,16303450
1743614454,1743614474,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3010 n_samples 3233 const 5.875175440645777 max_depth 13 threshold 0.07608613041043281,3010,3233,5.875175440645777,13,0.07608613041043281,None,None,1,None,n1714,16303446
1743614479,1743614486,7,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4005 n_samples 2861 const 8.976407040328718 max_depth 4 threshold 0.9247432629335671,4005,2861,8.976407040328718,4,0.9247432629335671,None,None,1,None,n1705,16303464
1743614484,1743614498,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2296 n_samples 1290 const 1.1875448048152029 max_depth 14 threshold 0.3532001255955547,2296,1290,1.1875448048152029,14,0.3532001255955547,None,None,1,None,n1706,16303459
1743614509,1743614515,6,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1089 n_samples 3873 const 5.268091089710594 max_depth 7 threshold 0.24035449872910977,1089,3873,5.268091089710594,7,0.24035449872910977,None,None,1,None,n1705,16303474
1743614514,1743614534,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2799 n_samples 434 const 4.900742856157013 max_depth 16 threshold 0.5460205818526447,2799,434,4.900742856157013,16,0.5460205818526447,None,None,1,None,n1708,16303469
1743614539,1743614546,7,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3695 n_samples 4687 const 2.113941110493615 max_depth 18 threshold 0.7384256745502352,3695,4687,2.113941110493615,18,0.7384256745502352,None,None,1,None,n1705,16303483
1743614544,1743614558,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 111 n_samples 1241 const 8.035355418178252 max_depth 10 threshold 0.04587857674434781,111,1241,8.035355418178252,10,0.04587857674434781,None,None,1,None,n1706,16303479
1743614575,1743614595,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4989 n_samples 2104 const 6.821907180590555 max_depth 1 threshold 0.8511797533314676,4989,2104,6.821907180590555,1,0.8511797533314676,None,None,1,None,n1710,16303488
1743614599,1743614606,7,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4747 n_samples 3496 const 0.6410638975100592 max_depth 18 threshold 0.1773392830118537,4747,3496,0.6410638975100592,18,0.1773392830118537,None,None,1,None,n1705,16303502
1743614605,1743614618,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1455 n_samples 1925 const 9.210409587346017 max_depth 6 threshold 0.6074574779458344,1455,1925,9.210409587346017,6,0.6074574779458344,None,None,1,None,n1707,16303498
1743614641,1743614647,6,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2555 n_samples 4053 const 7.644427058300004 max_depth 2 threshold 0.48782870270498097,2555,4053,7.644427058300004,2,0.48782870270498097,None,None,1,None,n1705,16303515
1743614634,1743614648,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3452 n_samples 1070 const 5.346240823679604 max_depth 4 threshold 0.2895827388148755,3452,1070,5.346240823679604,4,0.2895827388148755,None,None,1,None,n1716,16303506
1743614635,1743614648,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1140 n_samples 607 const 2.192410181662999 max_depth 11 threshold 0.7896335973646492,1140,607,2.192410181662999,11,0.7896335973646492,None,None,1,None,n1706,16303512
1743614636,1743614656,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 161 n_samples 4509 const 4.510114910896868 max_depth 14 threshold 0.9860519679132849,161,4509,4.510114910896868,14,0.9860519679132849,None,None,1,None,n1710,16303509
1743614660,1743614666,6,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2134 n_samples 801 const 2.957978878990747 max_depth 1 threshold 0.21142435389384628,2134,801,2.957978878990747,1,0.21142435389384628,None,None,1,None,n1705,16303523
1743614661,1743614667,6,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2347 n_samples 3033 const 6.275125933165663 max_depth 8 threshold 0.6772376803904772,2347,3033,6.275125933165663,8,0.6772376803904772,None,None,1,None,n1705,16303521
1743614665,1743614678,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3762 n_samples 1470 const 3.5568289080802353 max_depth 20 threshold 0.10962996933981776,3762,1470,3.5568289080802353,20,0.10962996933981776,None,None,1,None,n1707,16303518
1743614690,1743614697,7,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 575 n_samples 1670 const 5.953634473161773 max_depth 16 threshold 0.391346577597782,575,1670,5.953634473161773,16,0.391346577597782,None,None,1,None,n1705,16303535
1743614695,1743614708,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4176 n_samples 4855 const 6.880079016525299 max_depth 13 threshold 0.5129407293200493,4176,4855,6.880079016525299,13,0.5129407293200493,None,None,1,None,n1716,16303526
1743614695,1743614708,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 919 n_samples 3374 const 8.24449798506219 max_depth 19 threshold 0.3237146247345954,919,3374,8.24449798506219,19,0.3237146247345954,None,None,1,None,n1706,16303532
1743614696,1743614716,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2961 n_samples 2438 const 1.58867736274004 max_depth 9 threshold 0.8914887611623853,2961,2438,1.58867736274004,9,0.8914887611623853,None,None,1,None,n1710,16303529
1743614725,1743614745,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3241 n_samples 2599 const 3.8990596672473474 max_depth 7 threshold 0.8217856220994144,3241,2599,3.8990596672473474,7,0.8217856220994144,None,None,1,None,n1708,16303538
1743615961,1743615981,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4525 n_samples 26 const 9.822685728668235 max_depth 15 threshold 0.7094041600860655,4525,26,9.822685728668235,15,0.7094041600860655,None,None,1,None,n1692,16303951
1743615991,1743616011,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1859 n_samples 4087 const 0.03489051246456802 max_depth 3 threshold 0.013133746184408664,1859,4087,0.03489051246456802,3,0.013133746184408664,None,None,1,None,n1692,16303962
1743616022,1743616041,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4380 n_samples 2705 const 5.047432380804793 max_depth 20 threshold 0.45177173146232963,4380,2705,5.047432380804793,20,0.45177173146232963,None,None,1,None,n1690,16303975
1743616022,1743616042,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1734 n_samples 1759 const 4.7894047846598555 max_depth 8 threshold 0.7691627471148967,1734,1759,4.7894047846598555,8,0.7691627471148967,None,None,1,None,n1691,16303970
1743616052,1743616072,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3173 n_samples 278 const 0.9986235127802939 max_depth 2 threshold 0.08136273670382797,3173,278,0.9986235127802939,2,0.08136273670382797,None,None,1,None,n1692,16303983
1743616052,1743616072,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 528 n_samples 4342 const 8.833331402963958 max_depth 11 threshold 0.6333842970188707,528,4342,8.833331402963958,11,0.6333842970188707,None,None,1,None,n1692,16303987
1743616082,1743616102,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 793 n_samples 773 const 6.613450669061393 max_depth 14 threshold 0.5811394491884857,793,773,6.613450669061393,14,0.5811394491884857,None,None,1,None,n1692,16303990
1743616082,1743616102,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2815 n_samples 4844 const 3.2380227412963287 max_depth 5 threshold 0.1354351332616061,2815,4844,3.2380227412963287,5,0.1354351332616061,None,None,1,None,n1692,16303993
1743616082,1743616102,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4109 n_samples 2261 const 7.904482052688488 max_depth 18 threshold 0.27106112218648193,4109,2261,7.904482052688488,18,0.27106112218648193,None,None,1,None,n1692,16303995
1743616107,1743616114,7,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2087 n_samples 3200 const 1.9518737563863398 max_depth 6 threshold 0.9519442005492746,2087,3200,1.9518737563863398,6,0.9519442005492746,None,None,1,None,n1693,16303998
1743616113,1743616132,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2603 n_samples 1335 const 7.264480109873229 max_depth 7 threshold 0.7298750103358179,2603,1335,7.264480109873229,7,0.7298750103358179,None,None,1,None,n1690,16304005
1743616113,1743616133,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3887 n_samples 3752 const 1.3020646172603592 max_depth 15 threshold 0.8656390054710209,3887,3752,1.3020646172603592,15,0.8656390054710209,None,None,1,None,n1691,16304002
1743616113,1743616133,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2491 n_samples 323 const 8.550629299653695 max_depth 3 threshold 0.4196138102337718,2491,323,8.550629299653695,3,0.4196138102337718,None,None,1,None,n1691,16304000
1743616138,1743616144,6,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1208 n_samples 2896 const 2.5930963547546417 max_depth 16 threshold 0.04919071742706001,1208,2896,2.5930963547546417,16,0.04919071742706001,None,None,1,None,n1693,16304008
1743616143,1743616163,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3578 n_samples 3702 const 9.477038083806633 max_depth 10 threshold 0.5470484966840595,3578,3702,9.477038083806633,10,0.5470484966840595,None,None,1,None,n1692,16304015
1743616143,1743616163,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 306 n_samples 2148 const 0.3610195882143453 max_depth 19 threshold 0.2299459705222398,306,2148,0.3610195882143453,19,0.2299459705222398,None,None,1,None,n1692,16304011
1743616168,1743616174,6,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4794 n_samples 1129 const 4.146918964240701 max_depth 13 threshold 0.917806789919734,4794,1129,4.146918964240701,13,0.917806789919734,None,None,1,None,n1693,16304018
1743616173,1743616193,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1522 n_samples 4565 const 5.686256607056596 max_depth 1 threshold 0.36561877448484303,1522,4565,5.686256607056596,1,0.36561877448484303,None,None,1,None,n1692,16304022
1743616173,1743616193,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1260 n_samples 957 const 1.848394777143374 max_depth 17 threshold 0.6663113909531385,1260,957,1.848394777143374,17,0.6663113909531385,None,None,1,None,n1692,16304025
1743616198,1743616205,7,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4863 n_samples 4385 const 8.316777500058524 max_depth 6 threshold 0.11020103602670134,4863,4385,8.316777500058524,6,0.11020103602670134,None,None,1,None,n1693,16304028
1743616203,1743616223,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 44 n_samples 3530 const 7.186176052561031 max_depth 5 threshold 0.8024481813125313,44,3530,7.186176052561031,5,0.8024481813125313,None,None,1,None,n1690,16304034
1743616204,1743616223,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 945 n_samples 1513 const 9.868111305736937 max_depth 3 threshold 0.9812474380359053,945,1513,9.868111305736937,3,0.9812474380359053,None,None,1,None,n1690,16304036
1743616203,1743616224,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3647 n_samples 1968 const 2.983878623357974 max_depth 13 threshold 0.48147090400755405,3647,1968,2.983878623357974,13,0.48147090400755405,None,None,1,None,n1691,16304031
1743616258,1743616265,7,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2018 n_samples 2393 const 5.593753507762217 max_depth 12 threshold 0.019567686239257455,2018,2393,5.593753507762217,12,0.019567686239257455,None,None,1,None,n1693,16304048
1743616263,1743616283,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4371 n_samples 3340 const 4.555542797414587 max_depth 1 threshold 0.6965134347807616,4371,3340,4.555542797414587,1,0.6965134347807616,None,None,1,None,n1692,16304052
1743616263,1743616283,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3077 n_samples 913 const 9.224104824887588 max_depth 18 threshold 0.8326662267223001,3077,913,9.224104824887588,18,0.8326662267223001,None,None,1,None,n1692,16304055
1743616293,1743616313,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 724 n_samples 4977 const 0.9203093795655296 max_depth 10 threshold 0.39082119572535157,724,4977,0.9203093795655296,10,0.39082119572535157,None,None,1,None,n1691,16304060
1743622914,1743622921,7,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4643 n_samples 1625 const 2.4985049082497137 max_depth 4 threshold 0.5177604874689132,4643,1625,2.4985049082497137,4,0.5177604874689132,None,None,1,None,n1697,16306317
1743622919,1743622933,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 457 n_samples 137 const 3.6291059646308423 max_depth 8 threshold 0.3327373653650284,457,137,3.6291059646308423,8,0.3327373653650284,None,None,1,None,n1703,16306312
1743622919,1743622939,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3436 n_samples 4209 const 6.534845657018014 max_depth 16 threshold 0.8886791534386576,3436,4209,6.534845657018014,16,0.8886791534386576,None,None,1,None,n1700,16306314
1743622949,1743622962,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3398 n_samples 704 const 3.428220823395066 max_depth 10 threshold 0.6248191518187522,3398,704,3.428220823395066,10,0.6248191518187522,None,None,1,None,n1707,16306324
1743622949,1743622963,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 420 n_samples 4775 const 6.72229628633149 max_depth 18 threshold 0.08943459707126021,420,4775,6.72229628633149,18,0.08943459707126021,None,None,1,None,n1703,16306327
1743622949,1743622963,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1704 n_samples 2192 const 2.058309053866193 max_depth 1 threshold 0.44375516280718147,1704,2192,2.058309053866193,1,0.44375516280718147,None,None,1,None,n1708,16306320
1743622949,1743622963,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4682 n_samples 3131 const 8.087325508146547 max_depth 12 threshold 0.7776611199136824,4682,3131,8.087325508146547,12,0.7776611199136824,None,None,1,None,n1708,16306322
1743622949,1743622969,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1664 n_samples 2564 const 7.6703292611129585 max_depth 15 threshold 0.19649302533827723,1664,2564,7.6703292611129585,15,0.19649302533827723,None,None,1,None,n1720,16306319
1743622975,1743622981,6,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3118 n_samples 4332 const 1.1269922808110713 max_depth 8 threshold 0.5892111013568938,3118,4332,1.1269922808110713,8,0.5892111013568938,None,None,1,None,n1704,16306333
1743622979,1743622992,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 763 n_samples 268 const 9.043062246111221 max_depth 16 threshold 0.12686977986246348,763,268,9.043062246111221,16,0.12686977986246348,None,None,1,None,n1708,16306330
1743622980,1743623000,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4334 n_samples 1749 const 5.173400662828238 max_depth 15 threshold 0.9439278995785862,4334,1749,5.173400662828238,15,0.9439278995785862,None,None,1,None,n1700,16306337
1743623009,1743623022,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2189 n_samples 1139 const 5.813440851236694 max_depth 6 threshold 0.874143326813355,2189,1139,5.813440851236694,6,0.874143326813355,None,None,1,None,n1707,16306344
1743623009,1743623023,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1980 n_samples 2695 const 4.991771763370373 max_depth 4 threshold 0.2795597626697272,1980,2695,4.991771763370373,4,0.2795597626697272,None,None,1,None,n1708,16306341
1743623014,1743623028,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3917 n_samples 4575 const 4.355393169129268 max_depth 17 threshold 0.4116031901221722,3917,4575,4.355393169129268,17,0.4116031901221722,None,None,1,None,n1703,16306347
1743623040,1743623054,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3 n_samples 1402 const 2.774754690375179 max_depth 11 threshold 0.5551260973960161,3,1402,2.774754690375179,11,0.5551260973960161,None,None,1,None,n1703,16306357
1743623039,1743623059,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2711 n_samples 2158 const 9.678219942679629 max_depth 5 threshold 0.05726805045455694,2711,2158,9.678219942679629,5,0.05726805045455694,None,None,1,None,n1708,16306350
1743623039,1743623059,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 983 n_samples 3712 const 0.48573182796593756 max_depth 13 threshold 0.7213153377957642,983,3712,0.48573182796593756,13,0.7213153377957642,None,None,1,None,n1708,16306352
1743623064,1743623071,7,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1297 n_samples 3819 const 8.739570743493736 max_depth 9 threshold 0.9097959616091102,1297,3819,8.739570743493736,9,0.9097959616091102,None,None,1,None,n1704,16306365
1743623069,1743623083,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3608 n_samples 2963 const 7.369659365081229 max_depth 3 threshold 0.22138656566664577,3608,2963,7.369659365081229,3,0.22138656566664577,None,None,1,None,n1720,16306359
1743623070,1743623090,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4901 n_samples 390 const 1.409725710679777 max_depth 20 threshold 0.374122887628153,4901,390,1.409725710679777,20,0.374122887628153,None,None,1,None,n1708,16306361
1743623099,1743623113,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4833 n_samples 3960 const 6.048363043202088 max_depth 3 threshold 0.6583025535456837,4833,3960,6.048363043202088,3,0.6583025535456837,None,None,1,None,n1708,16306374
1743623130,1743623143,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3540 n_samples 1543 const 0.09540489331074059 max_depth 16 threshold 0.8105120724905283,3540,1543,0.09540489331074059,16,0.8105120724905283,None,None,1,None,n1708,16306380
1743623130,1743623143,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 269 n_samples 3097 const 9.756068666043692 max_depth 7 threshold 0.47291325583122673,269,3097,9.756068666043692,7,0.47291325583122673,None,None,1,None,n1703,16306386
1743623155,1743623161,6,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2644 n_samples 3580 const 2.852302999121137 max_depth 19 threshold 0.9726900575440377,2644,3580,2.852302999121137,19,0.9726900575440377,None,None,1,None,n1704,16306395
1743623100,1743623170,70,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1562 n_samples 524 const 3.8079926168760285 max_depth 15 threshold 0.11869214974343777,1562,524,3.8079926168760285,15,0.11869214974343777,None,None,1,None,n1719,16306370
1743623159,1743623179,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1247 n_samples 2018 const 6.979651767626406 max_depth 10 threshold 0.31256299796141684,1247,2018,6.979651767626406,10,0.31256299796141684,None,None,1,None,n1708,16306391
1743623190,1743623203,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2047 n_samples 1578 const 7.539933988818899 max_depth 20 threshold 0.6885100700333715,2047,1578,7.539933988818899,20,0.6885100700333715,None,None,1,None,n1707,16306405
1743623190,1743623203,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2453 n_samples 4435 const 1.6443475625254214 max_depth 13 threshold 0.16020089887455105,2453,4435,1.6443475625254214,13,0.16020089887455105,None,None,1,None,n1708,16306403
1743623190,1743623203,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3850 n_samples 1006 const 8.192489751935936 max_depth 1 threshold 0.6188645890876651,3850,1006,8.192489751935936,1,0.6188645890876651,None,None,1,None,n1720,16306399
1743623220,1743623233,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4068 n_samples 2516 const 2.2932414334816857 max_depth 8 threshold 0.028064272616058587,4068,2516,2.2932414334816857,8,0.028064272616058587,None,None,1,None,n1720,16306409

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/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303423/16303423_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303427/16303427_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303432/16303432_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303441/16303441_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303437/16303437_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303450/16303450_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303454/16303454_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303446/16303446_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303464/16303464_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303459/16303459_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303474/16303474_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303469/16303469_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303483/16303483_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303479/16303479_0_log.err not found


⚠ Job 16303493 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303493/16303493_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303493/16303493_0_log.out
----------------------------------------
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 7, in <module>
    from submitit.core.submission import submitit_main
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 16, in <module>
    import numpy  # type: ignore  # noqa
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py", line 181, in <module>
    from . import lib
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/__init__.py", line 23, in <module>
    from . import _index_tricks_impl
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_index_tricks_impl.py", line 12, in <module>
    import numpy.matrixlib as matrixlib
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/__init__.py", line 4, in <module>
    from . import defmatrix
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/defmatrix.py", line 12, in <module>
    from numpy.linalg import matrix_power
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/__init__.py", line 88, in <module>
    from . import _linalg
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/_linalg.py", line 41, in <module>
    from numpy._typing import NDArray
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_typing/__init__.py", line 19, in <module>
    from ._nbit import (
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 879, in exec_module
  File "<frozen importlib._bootstrap_external>", line 975, in get_code
  File "<frozen importlib._bootstrap_external>", line 1073, in get_data
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303493/16303493_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303488/16303488_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303502/16303502_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303498/16303498_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303515/16303515_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303506/16303506_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303509/16303509_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303512/16303512_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303521/16303521_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303523/16303523_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303518/16303518_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303535/16303535_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303526/16303526_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303532/16303532_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303529/16303529_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303538/16303538_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303951/16303951_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303962/16303962_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303970/16303970_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303975/16303975_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303983/16303983_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303987/16303987_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303990/16303990_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303993/16303993_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303995/16303995_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303998/16303998_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304005/16304005_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304000/16304000_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304002/16304002_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304008/16304008_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304011/16304011_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304015/16304015_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304018/16304018_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304022/16304022_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304025/16304025_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304028/16304028_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304031/16304031_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304034/16304034_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304036/16304036_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304048/16304048_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304052/16304052_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304055/16304055_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304060/16304060_0_log.err not found

Job SlurmJob<job_id=16304039, task_id=0, state="FAILED">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed

Job SlurmJob<job_id=16304041, task_id=0, state="FAILED">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed

Job SlurmJob<job_id=16304045, task_id=0, state="FAILED">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed

Job SlurmJob<job_id=16304039, task_id=0, state="FAILED">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed

Job SlurmJob<job_id=16304041, task_id=0, state="FAILED">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed

Job SlurmJob<job_id=16304045, task_id=0, state="FAILED">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed


⚠ Job 16304039 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304039/16304039_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304039/16304039_0_log.out
----------------------------------------
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 37, in process_job
    env = job_environment.JobEnvironment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/job_environment.py", line 44, in __new__
    return plugins.get_job_environment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 71, in get_job_environment
    envs = get_job_environments()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 88, in get_job_environments
    return {env.name(): env for env in _get_plugins()1]}
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 24, in _get_plugins
    import pkg_resources
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/__init__.py", line 78, in <module>
    __import__('pkg_resources.extern.packaging.requirements')
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/requirements.py", line 9, in <module>
    from pkg_resources.extern.pyparsing import stringStart, stringEnd, originalTextFor, ParseException
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 674, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 571, in module_from_spec
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py", line 52, in create_module
    return self.load_module(spec.name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py", line 37, in load_module
    __import__(extant)
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 879, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1012, in get_code
  File "<frozen importlib._bootstrap_external>", line 672, in _compile_bytecode
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304039/16304039_0_log.err not found


⚠ Job 16304041 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304041/16304041_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304041/16304041_0_log.out
----------------------------------------
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 37, in process_job
    env = job_environment.JobEnvironment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/job_environment.py", line 44, in __new__
    return plugins.get_job_environment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 71, in get_job_environment
    envs = get_job_environments()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 88, in get_job_environments
    return {env.name(): env for env in _get_plugins()1]}
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 24, in _get_plugins
    import pkg_resources
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/__init__.py", line 78, in <module>
    __import__('pkg_resources.extern.packaging.requirements')
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/requirements.py", line 9, in <module>
    from pkg_resources.extern.pyparsing import stringStart, stringEnd, originalTextFor, ParseException
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 674, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 571, in module_from_spec
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py", line 52, in create_module
    return self.load_module(spec.name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py", line 37, in load_module
    __import__(extant)
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 879, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1012, in get_code
  File "<frozen importlib._bootstrap_external>", line 672, in _compile_bytecode
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304041/16304041_0_log.err not found


⚠ Job 16304045 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304045/16304045_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304045/16304045_0_log.out
----------------------------------------
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 37, in process_job
    env = job_environment.JobEnvironment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/job_environment.py", line 44, in __new__
    return plugins.get_job_environment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 71, in get_job_environment
    envs = get_job_environments()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 88, in get_job_environments
    return {env.name(): env for env in _get_plugins()1]}
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 24, in _get_plugins
    import pkg_resources
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/__init__.py", line 78, in <module>
    __import__('pkg_resources.extern.packaging.requirements')
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/requirements.py", line 9, in <module>
    from pkg_resources.extern.pyparsing import stringStart, stringEnd, originalTextFor, ParseException
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 674, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 571, in module_from_spec
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py", line 52, in create_module
    return self.load_module(spec.name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py", line 37, in load_module
    __import__(extant)
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 879, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1012, in get_code
  File "<frozen importlib._bootstrap_external>", line 672, in _compile_bytecode
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304045/16304045_0_log.err not found

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Current git-hash: 748be6af2e38a3c47ed5b1c8cc0139d9175bbc80 (version: 5373)
Runtime (end): 45 seconds, PID: 3392277
To cancel, press CTRL c, then run 'scancel 16303402'








Run-UUID: 277d8296-2be9-4a02-85a1-6e8e841904bf
  _________________________________________________
 /                                                 \
| OmniOpt2 - Optimizing like Schrödinger’s cat—unti |
| l you look, it's both perfect and terrible.       |
 \                                                 /
  =================================================
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                                                                                                 /"      "|
omniopt --partition=romeo --experiment_name=BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME --result_names ACCURACY=max RUNTIME=min --mem_gb=32 --time=1440 --worker_timeout=60 --max_eval=500 --num_parallel_jobs=30 --revert_to_random_when_seemingly_exhausted --generate_all_jobs_at_once --decimalrounding=12 --gpus=0 --num_random_steps=20 --send_anonymized_usage_stats --run_program=bW9kdWxlIGxvYWQgR0NDY29yZS8xMC4zLjAgUHl0aG9uICYmIHNvdXJjZSAvZGF0YS9ob3JzZS93cy9zNDEyMjQ4NS1jb21wUGVyZkREL2JlbmNobWFyay92ZW52L2Jpbi9hY3RpdmF0ZSAmJiBweXRob24gL2RhdGEvaG9yc2Uvd3MvczQxMjI0ODUtY29tcFBlcmZERC9iZW5jaG1hcmsvZGZraS9iZW5jaG1hcmtkZC9tYWluLnB5IDEgMSAwIFBva2VySGFuZCAyMDAwIEhvZWZmZGluZ1RyZWVDbGFzc2lmaWVyIEJORE0gcmVjZW50X3NhbXBsZXNfc2l6ZSAlKHJlY2VudF9zYW1wbGVzX3NpemUpIG5fc2FtcGxlcyAlKG5fc2FtcGxlcykgY29uc3QgJShjb25zdCkgbWF4X2RlcHRoICUobWF4X2RlcHRoKSB0aHJlc2hvbGQgJSh0aHJlc2hvbGQp --cpus_per_task=1 --model=BOTORCH_MODULAR --run_mode=local --live_share --parameter recent_samples_size range 1 5000 int --parameter n_samples range 1 5000 int --parameter const range 0.001 10.0 float --parameter max_depth range 1 20 int --parameter threshold range 0.001 0.999 float
Run-folder: runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0
Warning: --num_random_steps is smaller than --num_parallel_jobs. It's recommended that --num_parallel_jobs is the same as or a multiple of --num_random_steps
You have 2 CPUs available for the main process. No CUDA devices found. Generation strategy: Sobol for 30 trials, BoTorch for subsequent trials.
Run-Program: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size %(recent_samples_size) n_samples %(n_samples) const %(const) max_depth %(max_depth) threshold %(threshold)
                             Experiment parameters:                             
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name                ┃ Type  ┃ Lower bound ┃ Upper bound ┃ Type  ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ recent_samples_size │ range │ 1           │ 5000        │ int   │ No         │
│ n_samples           │ range │ 1           │ 5000        │ int   │ No         │
│ const               │ range │ 0.001       │ 10          │ float │ No         │
│ max_depth           │ range │ 1           │ 20          │ int   │ No         │
│ threshold           │ range │ 0.001       │ 0.999       │ float │ No         │
└─────────────────────┴───────┴─────────────┴─────────────┴───────┴────────────┘
        Result-Names:        
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ ACCURACY    │         max │
│ RUNTIME     │         min │
└─────────────┴─────────────┘
See https://imageseg.scads.de/omniax/share?user_id=s4122485&experiment_name=BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME&run_nr=0 for live-results.

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Failed jobs: 26 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 4 (13%/30), job_failed:   0%|░░░░░░░░░░| 0/500 06:24<?, ?it/s]
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303423/16303423_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303427/16303427_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303432/16303432_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303441/16303441_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303437/16303437_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303450/16303450_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303454/16303454_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303446/16303446_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303464/16303464_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303459/16303459_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303474/16303474_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303469/16303469_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303483/16303483_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303479/16303479_0_log.err not found

⚠ Job 16303493 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303493/16303493_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303493/16303493_0_log.out
----------------------------------------
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 7, in <module>
    from submitit.core.submission import submitit_main
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 16, in <module>
    import numpy  # type: ignore  # noqa
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py", line 181, in <module>
    from . import lib
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/__init__.py", line 23, in <module>
    from . import _index_tricks_impl
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_index_tricks_impl.py", line 12, in <module>
    import numpy.matrixlib as matrixlib
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/__init__.py", line 4, in <module>
    from . import defmatrix
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/defmatrix.py", line 12, in <module>
    from numpy.linalg import matrix_power
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/__init__.py", line 88, in <module>
    from . import _linalg
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/_linalg.py", line 41, in <module>
    from numpy._typing import NDArray
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_typing/__init__.py", line 19, in <module>
    from ._nbit import (
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 879, in exec_module
  File "<frozen importlib._bootstrap_external>", line 975, in get_code
  File "<frozen importlib._bootstrap_external>", line 1073, in get_data
KeyboardInterrupt


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303493/16303493_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303488/16303488_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303502/16303502_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303498/16303498_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303515/16303515_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303506/16303506_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303509/16303509_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303512/16303512_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303521/16303521_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303523/16303523_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303518/16303518_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303535/16303535_0_log.err not found
Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, finished 0 jobs:   0%|░░░░░░░░░░| 0/500 07:09<?, ?it/s]
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303526/16303526_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303532/16303532_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303529/16303529_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303538/16303538_0_log.err not found
Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, failed 3 (10%/30), waiting for old jobs to finish (3 left):   0%|░░░░░░░░░░| 0/500 36:29<?, ?it/s]
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303951/16303951_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303962/16303962_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303970/16303970_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303975/16303975_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303983/16303983_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303987/16303987_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303990/16303990_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303993/16303993_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303995/16303995_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303998/16303998_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304005/16304005_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304000/16304000_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304002/16304002_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304008/16304008_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304011/16304011_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304015/16304015_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304018/16304018_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304022/16304022_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304025/16304025_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304028/16304028_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304031/16304031_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304034/16304034_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304036/16304036_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304048/16304048_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304052/16304052_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304055/16304055_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304060/16304060_0_log.err not found
Job SlurmJob<job_id=16304039, task_id=0, state="FAILED">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed
Job SlurmJob<job_id=16304041, task_id=0, state="FAILED">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed
Job SlurmJob<job_id=16304045, task_id=0, state="FAILED">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed
Job SlurmJob<job_id=16304039, task_id=0, state="FAILED">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed
Job SlurmJob<job_id=16304041, task_id=0, state="FAILED">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed
Job SlurmJob<job_id=16304045, task_id=0, state="FAILED">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing'], which would be ignored: failed
Failed jobs: 58 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, failed 2 (7%/30), job_failed:   0%|░░░░░░░░░░| 0/500 37:08<?, ?it/s]
⚠ Job 16304039 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304039/16304039_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304039/16304039_0_log.out
----------------------------------------
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 37, in process_job
    env = job_environment.JobEnvironment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/job_environment.py", line 44, in __new__
    return plugins.get_job_environment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 71, in get_job_environment
    envs = get_job_environments()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 88, in get_job_environments
    return {env.name(): env for env in _get_plugins()1]}
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 24, in _get_plugins
    import pkg_resources
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/__init__.py", line 78, in <module>
    __import__('pkg_resources.extern.packaging.requirements')
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/requirements.py", line 9, in <module>
    from pkg_resources.extern.pyparsing import stringStart, stringEnd, originalTextFor, ParseException
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 674, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 571, in module_from_spec
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py", line 52, in create_module
    return self.load_module(spec.name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py", line 37, in load_module
    __import__(extant)
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 879, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1012, in get_code
  File "<frozen importlib._bootstrap_external>", line 672, in _compile_bytecode
KeyboardInterrupt


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304039/16304039_0_log.err not found

⚠ Job 16304041 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304041/16304041_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304041/16304041_0_log.out
----------------------------------------
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 37, in process_job
    env = job_environment.JobEnvironment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/job_environment.py", line 44, in __new__
    return plugins.get_job_environment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 71, in get_job_environment
    envs = get_job_environments()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 88, in get_job_environments
    return {env.name(): env for env in _get_plugins()1]}
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 24, in _get_plugins
    import pkg_resources
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/__init__.py", line 78, in <module>
    __import__('pkg_resources.extern.packaging.requirements')
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/requirements.py", line 9, in <module>
    from pkg_resources.extern.pyparsing import stringStart, stringEnd, originalTextFor, ParseException
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 674, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 571, in module_from_spec
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py", line 52, in create_module
    return self.load_module(spec.name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py", line 37, in load_module
    __import__(extant)
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 879, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1012, in get_code
  File "<frozen importlib._bootstrap_external>", line 672, in _compile_bytecode
KeyboardInterrupt


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304041/16304041_0_log.err not found
Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, finished 0 jobs:   0%|░░░░░░░░░░| 0/500 37:32<?, ?it/s]
⚠ Job 16304045 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304045/16304045_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304045/16304045_0_log.out
----------------------------------------
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 37, in process_job
    env = job_environment.JobEnvironment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/job_environment.py", line 44, in __new__
    return plugins.get_job_environment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 71, in get_job_environment
    envs = get_job_environments()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 88, in get_job_environments
    return {env.name(): env for env in _get_plugins()1]}
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 24, in _get_plugins
    import pkg_resources
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/__init__.py", line 78, in <module>
    __import__('pkg_resources.extern.packaging.requirements')
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/requirements.py", line 9, in <module>
    from pkg_resources.extern.pyparsing import stringStart, stringEnd, originalTextFor, ParseException
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 674, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 571, in module_from_spec
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py", line 52, in create_module
    return self.load_module(spec.name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py", line 37, in load_module
    __import__(extant)
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 879, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1012, in get_code
  File "<frozen importlib._bootstrap_external>", line 672, in _compile_bytecode
KeyboardInterrupt


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304045/16304045_0_log.err not found
Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left):   0%|░░░░░░░░░░| 0/500 1:16:56<?, ?it/s]

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2025-04-02 19:18:46: Initializing model, Started OmniOpt2 run...
2025-04-02 19:18:46: Initializing model, finished 0 jobs
2025-04-02 19:18:46: Initializing model, trying to get 30 next steps (current done: 0, max: 500)
2025-04-02 19:18:46: Initializing model, finishing jobs (_get_next_trials), finished 0 jobs
2025-04-02 19:18:46: Initializing model, getting new hyperparameter set #1/30
2025-04-02 19:18:47: SobolGenerator, getting new hyperparameter set #2/30 | ETA: 17s
2025-04-02 19:18:47: SobolGenerator, getting new hyperparameter set #3/30 | ETA: 17s
2025-04-02 19:18:48: SobolGenerator, getting new hyperparameter set #4/30 | ETA: 16s
2025-04-02 19:18:48: SobolGenerator, getting new hyperparameter set #5/30 | ETA: 16s
2025-04-02 19:18:49: SobolGenerator, getting new hyperparameter set #6/30 | ETA: 15s
2025-04-02 19:18:50: SobolGenerator, getting new hyperparameter set #7/30 | ETA: 14s
2025-04-02 19:18:50: SobolGenerator, getting new hyperparameter set #8/30 | ETA: 14s
2025-04-02 19:18:51: SobolGenerator, getting new hyperparameter set #9/30 | ETA: 14s
2025-04-02 19:18:52: SobolGenerator, getting new hyperparameter set #10/30 | ETA: 13s
2025-04-02 19:18:52: SobolGenerator, getting new hyperparameter set #11/30 | ETA: 12s
2025-04-02 19:18:53: SobolGenerator, getting new hyperparameter set #12/30 | ETA: 11s
2025-04-02 19:18:54: SobolGenerator, getting new hyperparameter set #13/30 | ETA: 11s
2025-04-02 19:18:54: SobolGenerator, getting new hyperparameter set #14/30 | ETA: 10s
2025-04-02 19:18:55: SobolGenerator, getting new hyperparameter set #15/30 | ETA: 9s
2025-04-02 19:18:55: SobolGenerator, getting new hyperparameter set #16/30 | ETA: 9s
2025-04-02 19:18:56: SobolGenerator, getting new hyperparameter set #17/30 | ETA: 8s
2025-04-02 19:18:56: SobolGenerator, getting new hyperparameter set #18/30 | ETA: 7s
2025-04-02 19:18:57: SobolGenerator, getting new hyperparameter set #19/30 | ETA: 6s
2025-04-02 19:18:57: SobolGenerator, getting new hyperparameter set #20/30 | ETA: 6s
2025-04-02 19:18:57: SobolGenerator, getting new hyperparameter set #21/30 | ETA: 5s
2025-04-02 19:18:58: SobolGenerator, getting new hyperparameter set #22/30 | ETA: 4s
2025-04-02 19:18:58: SobolGenerator, getting new hyperparameter set #23/30 | ETA: 4s
2025-04-02 19:18:59: SobolGenerator, getting new hyperparameter set #24/30 | ETA: 3s
2025-04-02 19:18:59: SobolGenerator, getting new hyperparameter set #25/30 | ETA: 3s
2025-04-02 19:19:00: SobolGenerator, getting new hyperparameter set #26/30 | ETA: 2s
2025-04-02 19:19:00: SobolGenerator, getting new hyperparameter set #27/30 | ETA: 2s
2025-04-02 19:19:01: SobolGenerator, getting new hyperparameter set #28/30 | ETA: 1s
2025-04-02 19:19:01: SobolGenerator, getting new hyperparameter set #29/30 | ETA: 1s
2025-04-02 19:19:01: SobolGenerator, getting new hyperparameter set #30/30 | ETA: 0s
2025-04-02 19:19:02: SobolGenerator, starting parameter set
2025-04-02 19:19:02: SobolGenerator, starting new job
2025-04-02 19:19:04: SobolGenerator, unknown 1 (3%/30), started new job
2025-04-02 19:19:04: SobolGenerator, unknown 1 (3%/30), starting parameter set
2025-04-02 19:19:05: SobolGenerator, unknown 1 (3%/30), starting new job
2025-04-02 19:19:07: SobolGenerator, unknown 2 (7%/30), started new job
2025-04-02 19:19:07: SobolGenerator, unknown 2 (7%/30), starting parameter set
2025-04-02 19:19:08: SobolGenerator, pending 2 (7%/30), starting new job
2025-04-02 19:19:10: SobolGenerator, pending/unknown 2/1 (10%/30), started new job
2025-04-02 19:19:10: SobolGenerator, pending/unknown 2/1 (10%/30), starting parameter set
2025-04-02 19:19:11: SobolGenerator, pending/unknown 2/1 (10%/30), starting new job
2025-04-02 19:19:13: SobolGenerator, pending/unknown 3/1 (13%/30), started new job
2025-04-02 19:19:13: SobolGenerator, pending/unknown 3/1 (13%/30), starting parameter set
2025-04-02 19:19:14: SobolGenerator, pending/unknown 3/1 (13%/30), starting new job
2025-04-02 19:19:16: SobolGenerator, pending/unknown 3/2 (17%/30), started new job
2025-04-02 19:19:16: SobolGenerator, pending/unknown 3/2 (17%/30), starting parameter set
2025-04-02 19:19:17: SobolGenerator, pending/unknown 3/2 (17%/30), starting new job
2025-04-02 19:19:19: SobolGenerator, running/pending/unknown 1/4/1 (20%/30), started new job
2025-04-02 19:19:19: SobolGenerator, running/pending/unknown 1/4/1 (20%/30), starting parameter set
2025-04-02 19:19:19: SobolGenerator, running/pending/unknown 1/4/1 (20%/30), starting new job
2025-04-02 19:19:21: SobolGenerator, running/pending/unknown 1/4/2 (23%/30), started new job
2025-04-02 19:19:21: SobolGenerator, running/pending/unknown 1/4/2 (23%/30), starting parameter set
2025-04-02 19:19:22: SobolGenerator, running/pending/unknown 1/4/2 (23%/30), starting new job
2025-04-02 19:19:23: SobolGenerator, running/pending/unknown 1/6/1 (27%/30), started new job
2025-04-02 19:19:23: SobolGenerator, running/pending/unknown 1/6/1 (27%/30), starting parameter set
2025-04-02 19:19:24: SobolGenerator, running/pending/unknown 1/6/1 (27%/30), starting new job
2025-04-02 19:19:26: SobolGenerator, running/pending/unknown 1/6/2 (30%/30), started new job
2025-04-02 19:19:26: SobolGenerator, running/pending/unknown 1/6/2 (30%/30), starting parameter set
2025-04-02 19:19:27: SobolGenerator, running/pending/unknown 1/6/2 (30%/30), starting new job
2025-04-02 19:19:29: SobolGenerator, running/pending/unknown 1/8/1 (33%/30), started new job
2025-04-02 19:19:29: SobolGenerator, running/pending/unknown 1/8/1 (33%/30), starting parameter set
2025-04-02 19:19:30: SobolGenerator, completed/pending/unknown 1/8/1 (33%/30), starting new job
2025-04-02 19:19:33: SobolGenerator, completed/pending/unknown 1/8/2 (37%/30), started new job
2025-04-02 19:19:33: SobolGenerator, completed/pending/unknown 1/8/2 (37%/30), starting parameter set
2025-04-02 19:19:34: SobolGenerator, completed/pending 1/10 (37%/30), starting new job
2025-04-02 19:19:36: SobolGenerator, completed/pending/unknown 1/10/1 (40%/30), started new job
2025-04-02 19:19:36: SobolGenerator, completed/pending/unknown 1/10/1 (40%/30), starting parameter set
2025-04-02 19:19:36: SobolGenerator, completed/pending/unknown 1/10/1 (40%/30), starting new job
2025-04-02 19:19:38: SobolGenerator, completed/pending/unknown 1/10/2 (43%/30), started new job
2025-04-02 19:19:38: SobolGenerator, completed/pending/unknown 1/10/2 (43%/30), starting parameter set
2025-04-02 19:19:39: SobolGenerator, completed/pending/unknown 1/10/2 (43%/30), starting new job
2025-04-02 19:19:41: SobolGenerator, completed/pending/unknown 1/11/2 (47%/30), started new job
2025-04-02 19:19:41: SobolGenerator, completed/pending/unknown 1/11/2 (47%/30), starting parameter set
2025-04-02 19:19:42: SobolGenerator, completed/pending/unknown 1/11/2 (47%/30), starting new job
2025-04-02 19:19:44: SobolGenerator, completed/pending/unknown 1/11/3 (50%/30), started new job
2025-04-02 19:19:44: SobolGenerator, completed/pending/unknown 1/11/3 (50%/30), starting parameter set
2025-04-02 19:19:44: SobolGenerator, completed/pending/unknown 1/11/3 (50%/30), starting new job
2025-04-02 19:19:46: SobolGenerator, completed/pending/unknown 1/13/2 (53%/30), started new job
2025-04-02 19:19:46: SobolGenerator, completed/pending/unknown 1/13/2 (53%/30), starting parameter set
2025-04-02 19:19:47: SobolGenerator, completed/pending/unknown 1/13/2 (53%/30), starting new job
2025-04-02 19:19:49: SobolGenerator, completed/running/pending/unknown 1/2/11/3 (57%/30), started new job
2025-04-02 19:19:49: SobolGenerator, completed/running/pending/unknown 1/2/11/3 (57%/30), starting parameter set
2025-04-02 19:19:50: SobolGenerator, completed/running/pending/unknown 1/2/13/1 (57%/30), starting new job
2025-04-02 19:19:53: SobolGenerator, completed/running/pending/unknown 1/2/13/2 (60%/30), started new job
2025-04-02 19:19:53: SobolGenerator, completed/running/pending/unknown 1/2/13/2 (60%/30), starting parameter set
2025-04-02 19:19:54: SobolGenerator, completed/running/pending 1/2/15 (60%/30), starting new job
2025-04-02 19:19:56: SobolGenerator, completed/running/pending/unknown 1/2/15/1 (63%/30), started new job
2025-04-02 19:19:56: SobolGenerator, completed/running/pending/unknown 1/2/15/1 (63%/30), starting parameter set
2025-04-02 19:19:56: SobolGenerator, completed/running/pending/unknown 1/2/15/1 (63%/30), starting new job
2025-04-02 19:19:58: SobolGenerator, completed/running/pending/unknown 1/2/15/2 (67%/30), started new job
2025-04-02 19:19:58: SobolGenerator, completed/running/pending/unknown 1/2/15/2 (67%/30), starting parameter set
2025-04-02 19:19:59: SobolGenerator, completed/running/pending/unknown 1/2/15/2 (67%/30), starting new job
2025-04-02 19:20:01: SobolGenerator, completed/running/pending/unknown 1/2/17/1 (70%/30), started new job
2025-04-02 19:20:01: SobolGenerator, completed/running/pending/unknown 1/2/17/1 (70%/30), starting parameter set
2025-04-02 19:20:01: SobolGenerator, completed/running/pending/unknown 1/2/17/1 (70%/30), starting new job
2025-04-02 19:20:03: SobolGenerator, completed/running/pending/unknown 1/2/17/2 (73%/30), started new job
2025-04-02 19:20:03: SobolGenerator, completed/running/pending/unknown 1/2/17/2 (73%/30), starting parameter set
2025-04-02 19:20:03: SobolGenerator, completed/running/pending/unknown 1/2/17/2 (73%/30), starting new job
2025-04-02 19:20:06: SobolGenerator, completed/running/pending/unknown 1/2/19/1 (77%/30), started new job
2025-04-02 19:20:06: SobolGenerator, completed/running/pending/unknown 1/2/19/1 (77%/30), starting parameter set
2025-04-02 19:20:06: SobolGenerator, completed/running/pending/unknown 1/2/19/1 (77%/30), starting new job
2025-04-02 19:20:09: SobolGenerator, completed/running/pending/unknown 1/2/19/2 (80%/30), started new job
2025-04-02 19:20:09: SobolGenerator, completed/running/pending/unknown 1/2/19/2 (80%/30), starting parameter set
2025-04-02 19:20:10: SobolGenerator, completed/running/pending 2/1/21 (80%/30), starting new job
2025-04-02 19:20:12: SobolGenerator, completed/running/pending/unknown 2/1/21/1 (83%/30), started new job
2025-04-02 19:20:12: SobolGenerator, completed/running/pending/unknown 2/1/21/1 (83%/30), starting parameter set
2025-04-02 19:20:13: SobolGenerator, completed/running/pending 2/1/22 (83%/30), starting new job
2025-04-02 19:20:16: SobolGenerator, completed/running/pending/unknown 2/1/22/1 (87%/30), started new job
2025-04-02 19:20:16: SobolGenerator, completed/running/pending/unknown 2/1/22/1 (87%/30), starting parameter set
2025-04-02 19:20:16: SobolGenerator, completed/running/pending/unknown 2/1/22/1 (87%/30), starting new job
2025-04-02 19:20:18: SobolGenerator, completed/running/pending/unknown 2/1/22/2 (90%/30), started new job
2025-04-02 19:20:18: SobolGenerator, completed/running/pending/unknown 2/1/22/2 (90%/30), starting parameter set
2025-04-02 19:20:18: SobolGenerator, completed/running/pending/unknown 2/1/22/2 (90%/30), starting new job
2025-04-02 19:20:20: SobolGenerator, completed/running/pending/unknown 3/2/22/1 (93%/30), started new job
2025-04-02 19:20:20: SobolGenerator, completed/running/pending/unknown 3/2/22/1 (93%/30), starting parameter set
2025-04-02 19:20:21: SobolGenerator, completed/running/pending/unknown 3/2/22/1 (93%/30), starting new job
2025-04-02 19:20:23: SobolGenerator, completed/running/pending/unknown 3/2/22/2 (97%/30), started new job
2025-04-02 19:20:23: SobolGenerator, completed/running/pending/unknown 3/2/22/2 (97%/30), starting parameter set
2025-04-02 19:20:23: SobolGenerator, completed/running/pending/unknown 3/2/22/2 (97%/30), starting new job
2025-04-02 19:20:25: SobolGenerator, completed/running/pending/unknown 3/2/24/1 (100%/30), started new job
2025-04-02 19:20:26: SobolGenerator, completed/running/pending/unknown 3/2/24/1 (100%/30), job_failed
2025-04-02 19:20:28: Failed jobs: 1 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, completed/running/pending/unknown 2/2/24/1 (97%/30), job_failed
2025-04-02 19:20:30: Failed jobs: 2 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, completed/running/pending/unknown 1/2/24/1 (93%/30), job_failed
2025-04-02 19:20:34: Failed jobs: 3 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/completed/pending 1/1/25 (90%/30), job_failed
2025-04-02 19:20:50: Failed jobs: 4 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, completed/pending 1/25 (87%/30), finishing jobs after starting them, finished 4 jobs
2025-04-02 19:20:50: Failed jobs: 4 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, completed/pending 1/25 (87%/30), got 30, requested 30
2025-04-02 19:20:50: Failed jobs: 4 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, completed/pending 1/25 (87%/30), job_failed
2025-04-02 19:21:05: Failed jobs: 5 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/completed/pending 2/1/22 (83%/30), finishing previous jobs (26), finished 1 job
2025-04-02 19:21:07: Failed jobs: 5 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/completed/pending 2/1/22 (83%/30), waiting for old jobs to finish (25 left)
2025-04-02 19:21:13: Failed jobs: 5 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/completed/pending 2/1/22 (83%/30), job_failed
2025-04-02 19:21:15: Failed jobs: 6 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/completed/pending 1/1/22 (80%/30), job_failed
2025-04-02 19:21:29: Failed jobs: 7 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/pending 1/22 (77%/30), waiting for jobs (25 left), finished 2 jobs
2025-04-02 19:21:29: Failed jobs: 7 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/pending 1/22 (77%/30), waiting for old jobs to finish (23 left)
2025-04-02 19:21:35: Failed jobs: 7 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/pending 1/22 (77%/30), job_failed
2025-04-02 19:21:38: Failed jobs: 8 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/completed/pending 1/1/20 (73%/30), job_failed
2025-04-02 19:21:49: Failed jobs: 9 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/pending 1/20 (70%/30), waiting for jobs (23 left), finished 2 jobs
2025-04-02 19:21:50: Failed jobs: 9 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/pending 1/20 (70%/30), waiting for old jobs to finish (21 left)
2025-04-02 19:21:55: Failed jobs: 9 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/pending 1/20 (70%/30), job_failed
2025-04-02 19:21:58: Failed jobs: 10 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 20 (67%/30), job_failed
2025-04-02 19:22:08: Failed jobs: 11 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 19 (63%/30), waiting for jobs (21 left), finished 2 jobs
2025-04-02 19:22:09: Failed jobs: 11 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 19 (63%/30), waiting for old jobs to finish (19 left)
2025-04-02 19:22:22: Failed jobs: 11 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 19 (63%/30), waiting for jobs (19 left), finished 0 jobs
2025-04-02 19:22:23: Failed jobs: 11 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 19 (63%/30), waiting for old jobs to finish (19 left)
2025-04-02 19:22:28: Failed jobs: 11 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 19 (63%/30), job_failed
2025-04-02 19:22:31: Failed jobs: 12 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 18 (60%/30), job_failed
2025-04-02 19:22:44: Failed jobs: 13 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 17 (57%/30), waiting for jobs (19 left), finished 2 jobs
2025-04-02 19:22:44: Failed jobs: 13 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 17 (57%/30), waiting for old jobs to finish (17 left)
2025-04-02 19:22:50: Failed jobs: 13 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, completed/running/failed/pending 1/1/1/14 (57%/30), job_failed
2025-04-02 19:23:08: Failed jobs: 14 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/failed/pending 1/1/14 (53%/30), job_failed
2025-04-02 19:23:15: Failed jobs: 15 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/pending 1/14 (50%/30), waiting for jobs (17 left), finished 2 jobs
2025-04-02 19:23:16: Failed jobs: 15 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/pending 1/14 (50%/30), waiting for old jobs to finish (15 left)
2025-04-02 19:23:21: Failed jobs: 15 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/pending 1/14 (50%/30), job_failed
2025-04-02 19:23:31: Failed jobs: 16 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 14 (47%/30), waiting for jobs (15 left), finished 1 job
2025-04-02 19:23:31: Failed jobs: 16 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 14 (47%/30), waiting for old jobs to finish (14 left)
2025-04-02 19:23:37: Failed jobs: 16 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 14 (47%/30), job_failed
2025-04-02 19:23:48: Failed jobs: 17 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 13 (43%/30), waiting for jobs (14 left), finished 1 job
2025-04-02 19:23:48: Failed jobs: 17 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 13 (43%/30), waiting for old jobs to finish (13 left)
2025-04-02 19:23:53: Failed jobs: 17 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 13 (43%/30), job_failed
2025-04-02 19:24:00: Failed jobs: 18 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 12 (40%/30), waiting for jobs (13 left), finished 1 job
2025-04-02 19:24:00: Failed jobs: 18 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 12 (40%/30), waiting for old jobs to finish (12 left)
2025-04-02 19:24:08: Failed jobs: 18 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 12 (40%/30), job_failed
2025-04-02 19:24:16: Failed jobs: 19 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 11 (37%/30), waiting for jobs (12 left), finished 1 job
2025-04-02 19:24:16: Failed jobs: 19 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 11 (37%/30), waiting for old jobs to finish (11 left)
2025-04-02 19:24:22: Failed jobs: 19 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 11 (37%/30), job_failed
2025-04-02 19:24:24: Failed jobs: 20 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 10 (33%/30), job_failed
2025-04-02 19:24:27: Failed jobs: 21 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 9 (30%/30), job_failed
2025-04-02 19:24:31: Failed jobs: 22 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 8 (27%/30), job_failed
2025-04-02 19:24:35: Failed jobs: 23 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 7 (23%/30), job_failed
2025-04-02 19:24:41: Failed jobs: 24 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 6 (20%/30), waiting for jobs (11 left), finished 5 jobs
2025-04-02 19:24:41: Failed jobs: 24 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 6 (20%/30), waiting for old jobs to finish (6 left)
2025-04-02 19:24:47: Failed jobs: 24 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 6 (20%/30), job_failed
2025-04-02 19:24:51: Failed jobs: 25 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 5 (17%/30), waiting for jobs (6 left), finished 1 job
2025-04-02 19:24:51: Failed jobs: 25 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 5 (17%/30), waiting for old jobs to finish (5 left)
2025-04-02 19:25:00: Failed jobs: 25 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 5 (17%/30), job_failed
2025-04-02 19:25:04: Failed jobs: 26 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 4 (13%/30), waiting for jobs (5 left), finished 1 job
2025-04-02 19:25:04: Failed jobs: 26 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 4 (13%/30), waiting for old jobs to finish (4 left)
2025-04-02 19:25:10: Failed jobs: 26 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 4 (13%/30), job_failed
2025-04-02 19:25:12: Failed jobs: 27 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), job_failed
2025-04-02 19:25:15: Failed jobs: 28 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 2 (7%/30), waiting for jobs (4 left), finished 2 jobs
2025-04-02 19:25:15: Failed jobs: 28 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 2 (7%/30), waiting for old jobs to finish (2 left)
2025-04-02 19:25:22: Failed jobs: 28 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, completed/running 1/1 (7%/30), job_failed
2025-04-02 19:25:26: Failed jobs: 29 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running 1 (3%/30), waiting for jobs (2 left), finished 1 job
2025-04-02 19:25:26: Failed jobs: 29 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running 1 (3%/30), waiting for old jobs to finish (1 left)
2025-04-02 19:25:32: Failed jobs: 29 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running 1 (3%/30), waiting for jobs (1 left), finished 0 jobs
2025-04-02 19:25:32: Failed jobs: 29 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running 1 (3%/30), waiting for old jobs to finish (1 left)
2025-04-02 19:25:38: Failed jobs: 29 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running 1 (3%/30), waiting for jobs (1 left), finished 0 jobs
2025-04-02 19:25:38: Failed jobs: 29 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running 1 (3%/30), waiting for old jobs to finish (1 left)
2025-04-02 19:25:45: Failed jobs: 29 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running 1 (3%/30), waiting for jobs (1 left), finished 0 jobs
2025-04-02 19:25:45: Failed jobs: 29 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running 1 (3%/30), waiting for old jobs to finish (1 left)
2025-04-02 19:25:51: Failed jobs: 29 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running 1 (3%/30), job_failed
2025-04-02 19:25:55: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, waiting for jobs (1 left), finished 1 job
2025-04-02 19:25:55: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, finished 0 jobs
2025-04-02 19:25:55: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, trying to get 30 next steps (current done: 0, max: 500)
2025-04-02 19:25:56: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, finishing jobs (_get_next_trials), finished 0 jobs
2025-04-02 19:25:56: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #1/30
2025-04-02 19:25:56: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #2/30 | ETA: 11s
2025-04-02 19:25:57: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #3/30 | ETA: 11s
2025-04-02 19:25:57: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #4/30 | ETA: 10s
2025-04-02 19:25:57: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #5/30 | ETA: 10s
2025-04-02 19:25:58: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #6/30 | ETA: 10s
2025-04-02 19:25:58: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #7/30 | ETA: 9s
2025-04-02 19:25:59: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #8/30 | ETA: 9s
2025-04-02 19:25:59: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #9/30 | ETA: 8s
2025-04-02 19:26:00: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #10/30 | ETA: 8s
2025-04-02 19:26:00: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #11/30 | ETA: 8s
2025-04-02 19:26:01: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #12/30 | ETA: 7s
2025-04-02 19:26:01: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #13/30 | ETA: 7s
2025-04-02 19:26:02: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #14/30 | ETA: 7s
2025-04-02 19:26:02: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #15/30 | ETA: 6s
2025-04-02 19:26:03: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #16/30 | ETA: 6s
2025-04-02 19:26:03: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #17/30 | ETA: 6s
2025-04-02 19:26:04: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #18/30 | ETA: 5s
2025-04-02 19:26:04: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #19/30 | ETA: 5s
2025-04-02 19:26:05: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #20/30 | ETA: 4s
2025-04-02 19:26:06: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #21/30 | ETA: 4s
2025-04-02 19:26:06: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #22/30 | ETA: 4s
2025-04-02 19:26:07: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #23/30 | ETA: 3s
2025-04-02 19:26:08: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #24/30 | ETA: 3s
2025-04-02 19:26:09: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #25/30 | ETA: 3s
2025-04-02 19:26:10: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #26/30 | ETA: 2s
2025-04-02 19:26:11: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #27/30 | ETA: 2s
2025-04-02 19:26:11: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #28/30 | ETA: 1s
2025-04-02 19:26:12: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #29/30 | ETA: 1s
2025-04-02 19:26:13: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #30/30 | ETA: 0s
2025-04-02 19:26:14: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, starting parameter set
2025-04-02 19:26:15: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, starting new job
2025-04-02 19:26:17: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, unknown 1 (3%/30), started new job
2025-04-02 19:26:17: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, unknown 1 (3%/30), starting parameter set
2025-04-02 19:26:18: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 1 (3%/30), starting new job
2025-04-02 19:26:21: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), started new job
2025-04-02 19:26:21: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), starting parameter set
2025-04-02 19:26:21: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), starting new job
2025-04-02 19:26:23: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 2/1 (10%/30), started new job
2025-04-02 19:26:23: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 2/1 (10%/30), starting parameter set
2025-04-02 19:26:24: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 2/1 (10%/30), starting new job
2025-04-02 19:26:26: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 2/2 (13%/30), started new job
2025-04-02 19:26:26: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 2/2 (13%/30), starting parameter set
2025-04-02 19:26:26: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 2/2 (13%/30), starting new job
2025-04-02 19:26:28: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 4/1 (17%/30), started new job
2025-04-02 19:26:28: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 4/1 (17%/30), starting parameter set
2025-04-02 19:26:29: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 4/1 (17%/30), starting new job
2025-04-02 19:26:31: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 4/2 (20%/30), started new job
2025-04-02 19:26:31: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 4/2 (20%/30), starting parameter set
2025-04-02 19:26:31: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 4/2 (20%/30), starting new job
2025-04-02 19:26:35: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 6/1 (23%/30), started new job
2025-04-02 19:26:35: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 6/1 (23%/30), starting parameter set
2025-04-02 19:26:36: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 6/1 (23%/30), starting new job
2025-04-02 19:26:38: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 7/1 (27%/30), started new job
2025-04-02 19:26:38: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 7/1 (27%/30), starting parameter set
2025-04-02 19:26:39: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 7/1 (27%/30), starting new job
2025-04-02 19:26:42: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 7/2 (30%/30), started new job
2025-04-02 19:26:42: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 7/2 (30%/30), starting parameter set
2025-04-02 19:26:43: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 9 (30%/30), starting new job
2025-04-02 19:26:45: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 9/1 (33%/30), started new job
2025-04-02 19:26:45: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 9/1 (33%/30), starting parameter set
2025-04-02 19:26:46: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 9/1 (33%/30), starting new job
2025-04-02 19:26:48: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 11 (37%/30), started new job
2025-04-02 19:26:48: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 11 (37%/30), starting parameter set
2025-04-02 19:26:48: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 11 (37%/30), starting new job
2025-04-02 19:26:50: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 11/1 (40%/30), started new job
2025-04-02 19:26:50: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 11/1 (40%/30), starting parameter set
2025-04-02 19:26:51: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 11/1 (40%/30), starting new job
2025-04-02 19:26:53: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 11/2 (43%/30), started new job
2025-04-02 19:26:53: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 11/2 (43%/30), starting parameter set
2025-04-02 19:26:53: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 11/2 (43%/30), starting new job
2025-04-02 19:26:55: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), started new job
2025-04-02 19:26:55: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), starting parameter set
2025-04-02 19:26:56: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), starting new job
2025-04-02 19:26:59: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 14/1 (50%/30), started new job
2025-04-02 19:26:59: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 14/1 (50%/30), starting parameter set
2025-04-02 19:27:00: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 14/1 (50%/30), starting new job
2025-04-02 19:27:02: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 14/2 (53%/30), started new job
2025-04-02 19:27:02: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 14/2 (53%/30), starting parameter set
2025-04-02 19:27:03: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 16 (53%/30), starting new job
2025-04-02 19:27:06: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 16/1 (57%/30), started new job
2025-04-02 19:27:06: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 16/1 (57%/30), starting parameter set
2025-04-02 19:27:07: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 16/1 (57%/30), starting new job
2025-04-02 19:27:09: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 17/1 (60%/30), started new job
2025-04-02 19:27:09: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 17/1 (60%/30), starting parameter set
2025-04-02 19:27:10: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 17/1 (60%/30), starting new job
2025-04-02 19:27:12: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 17/2 (63%/30), started new job
2025-04-02 19:27:12: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 17/2 (63%/30), starting parameter set
2025-04-02 19:27:12: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 17/2 (63%/30), starting new job
2025-04-02 19:27:14: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 19/1 (67%/30), started new job
2025-04-02 19:27:14: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 19/1 (67%/30), starting parameter set
2025-04-02 19:27:15: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 19/1 (67%/30), starting new job
2025-04-02 19:27:17: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 19/2 (70%/30), started new job
2025-04-02 19:27:17: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 19/2 (70%/30), starting parameter set
2025-04-02 19:27:17: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 19/2 (70%/30), starting new job
2025-04-02 19:27:19: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), started new job
2025-04-02 19:27:19: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), starting parameter set
2025-04-02 19:27:20: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), starting new job
2025-04-02 19:27:22: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 21/2 (77%/30), started new job
2025-04-02 19:27:22: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 21/2 (77%/30), starting parameter set
2025-04-02 19:27:23: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 23 (77%/30), starting new job
2025-04-02 19:27:26: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), started new job
2025-04-02 19:27:26: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), starting parameter set
2025-04-02 19:27:27: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), starting new job
2025-04-02 19:27:29: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 23/2 (83%/30), started new job
2025-04-02 19:27:29: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 23/2 (83%/30), starting parameter set
2025-04-02 19:27:30: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 25 (83%/30), starting new job
2025-04-02 19:27:33: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 25/1 (87%/30), started new job
2025-04-02 19:27:33: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 25/1 (87%/30), starting parameter set
2025-04-02 19:27:34: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 25/1 (87%/30), starting new job
2025-04-02 19:27:36: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/1 (90%/30), started new job
2025-04-02 19:27:36: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/1 (90%/30), starting parameter set
2025-04-02 19:27:36: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/1 (90%/30), starting new job
2025-04-02 19:27:38: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/2 (93%/30), started new job
2025-04-02 19:27:38: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/2 (93%/30), starting parameter set
2025-04-02 19:27:39: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/2 (93%/30), starting new job
2025-04-02 19:27:41: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 28/1 (97%/30), started new job
2025-04-02 19:27:41: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 28/1 (97%/30), starting parameter set
2025-04-02 19:27:41: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 28/1 (97%/30), starting new job
2025-04-02 19:27:43: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 28/2 (100%/30), started new job
2025-04-02 19:28:23: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), finishing jobs after starting them, finished 0 jobs
2025-04-02 19:28:23: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), got 30, requested 30
2025-04-02 19:29:02: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), finishing previous jobs (30), finished 0 jobs
2025-04-02 19:29:03: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:29:46: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:29:46: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:30:28: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:30:28: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:31:13: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:31:13: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:31:53: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:31:54: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:32:38: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:32:39: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:33:19: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:33:19: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:34:04: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:34:04: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:34:45: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:34:45: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:35:30: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:35:30: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:36:10: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:36:11: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:36:55: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:36:55: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:37:36: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:37:36: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:38:21: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:38:21: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:39:02: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:39:02: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:39:47: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:39:47: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:40:27: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:40:28: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:41:12: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:41:13: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:41:54: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:41:54: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:42:38: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:42:39: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:43:19: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:43:20: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:44:04: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:44:04: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:44:45: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:44:45: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:45:30: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:45:30: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:46:10: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:46:11: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:46:55: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:46:55: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:47:01: Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), job_failed
2025-04-02 19:47:04: Failed jobs: 31 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 29 (97%/30), job_failed
2025-04-02 19:47:39: Failed jobs: 32 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 28 (93%/30), waiting for jobs (30 left), finished 2 jobs
2025-04-02 19:47:40: Failed jobs: 32 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 28 (93%/30), waiting for old jobs to finish (28 left)
2025-04-02 19:47:45: Failed jobs: 32 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 28 (93%/30), job_failed
2025-04-02 19:47:48: Failed jobs: 33 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 27 (90%/30), job_failed
2025-04-02 19:48:23: Failed jobs: 34 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 26 (87%/30), waiting for jobs (28 left), finished 2 jobs
2025-04-02 19:48:23: Failed jobs: 34 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 26 (87%/30), waiting for old jobs to finish (26 left)
2025-04-02 19:48:29: Failed jobs: 34 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 26 (87%/30), job_failed
2025-04-02 19:48:32: Failed jobs: 35 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 25 (83%/30), job_failed
2025-04-02 19:48:35: Failed jobs: 36 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 24 (80%/30), job_failed
2025-04-02 19:48:38: Failed jobs: 37 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 23 (77%/30), job_failed
2025-04-02 19:48:41: Failed jobs: 38 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 22 (73%/30), job_failed
2025-04-02 19:48:46: Failed jobs: 39 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 21 (70%/30), job_failed
2025-04-02 19:48:53: Failed jobs: 40 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 20 (67%/30), job_failed
2025-04-02 19:49:15: Failed jobs: 41 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 19 (63%/30), waiting for jobs (26 left), finished 7 jobs
2025-04-02 19:49:15: Failed jobs: 41 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 19 (63%/30), waiting for old jobs to finish (19 left)
2025-04-02 19:49:21: Failed jobs: 41 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 19 (63%/30), job_failed
2025-04-02 19:49:26: Failed jobs: 42 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 18 (60%/30), job_failed
2025-04-02 19:49:31: Failed jobs: 43 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 17 (57%/30), job_failed
2025-04-02 19:49:36: Failed jobs: 44 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 16 (53%/30), job_failed
2025-04-02 19:49:40: Failed jobs: 45 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 15 (50%/30), job_failed
2025-04-02 19:49:44: Failed jobs: 46 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 14 (47%/30), job_failed
2025-04-02 19:50:01: Failed jobs: 47 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 13 (43%/30), waiting for jobs (19 left), finished 6 jobs
2025-04-02 19:50:02: Failed jobs: 47 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 13 (43%/30), waiting for old jobs to finish (13 left)
2025-04-02 19:50:07: Failed jobs: 47 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 13 (43%/30), job_failed
2025-04-02 19:50:12: Failed jobs: 48 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 12 (40%/30), job_failed
2025-04-02 19:50:17: Failed jobs: 49 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 11 (37%/30), job_failed
2025-04-02 19:50:30: Failed jobs: 50 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 10 (33%/30), waiting for jobs (13 left), finished 3 jobs
2025-04-02 19:50:30: Failed jobs: 50 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 10 (33%/30), waiting for old jobs to finish (10 left)
2025-04-02 19:50:36: Failed jobs: 50 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 10 (33%/30), job_failed
2025-04-02 19:50:41: Failed jobs: 51 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 9 (30%/30), job_failed
2025-04-02 19:50:47: Failed jobs: 52 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 8 (27%/30), job_failed
2025-04-02 19:51:00: Failed jobs: 53 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 7 (23%/30), waiting for jobs (10 left), finished 3 jobs
2025-04-02 19:51:00: Failed jobs: 53 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 7 (23%/30), waiting for old jobs to finish (7 left)
2025-04-02 19:51:08: Failed jobs: 53 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 7 (23%/30), job_failed
2025-04-02 19:51:16: Failed jobs: 54 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 6 (20%/30), waiting for jobs (7 left), finished 1 job
2025-04-02 19:51:17: Failed jobs: 54 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 6 (20%/30), waiting for old jobs to finish (6 left)
2025-04-02 19:51:27: Failed jobs: 54 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 6 (20%/30), job_failed
2025-04-02 19:51:31: Failed jobs: 55 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 5 (17%/30), job_failed
2025-04-02 19:51:36: Failed jobs: 56 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 4 (13%/30), waiting for jobs (6 left), finished 2 jobs
2025-04-02 19:51:36: Failed jobs: 56 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 4 (13%/30), waiting for old jobs to finish (4 left)
2025-04-02 19:51:46: Failed jobs: 56 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 4 (13%/30), waiting for jobs (4 left), finished 0 jobs
2025-04-02 19:51:46: Failed jobs: 56 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 4 (13%/30), waiting for old jobs to finish (4 left)
2025-04-02 19:51:56: Failed jobs: 56 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 4 (13%/30), job_failed
2025-04-02 19:52:02: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (4 left), finished 1 job
2025-04-02 19:52:03: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:52:12: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:52:12: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:52:21: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:52:21: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:52:32: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:52:32: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:52:43: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:52:44: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:52:52: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:52:52: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:53:02: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:53:02: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:53:14: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:53:14: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:53:23: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:53:23: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:53:32: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:53:32: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:53:44: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:53:44: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:53:54: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:53:54: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:54:03: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:54:03: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:54:14: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:54:14: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:54:25: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:54:25: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:54:34: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:54:34: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:54:44: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:54:44: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:54:56: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:54:56: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:55:05: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:55:05: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:55:14: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, failed 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:55:15: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, failed 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:55:36: Failed jobs: 57 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, failed 3 (10%/30), job_failed
2025-04-02 19:55:54: Failed jobs: 58 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, failed 2 (7%/30), job_failed
2025-04-02 19:56:13: Failed jobs: 59 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, failed 1 (3%/30), job_failed
2025-04-02 19:56:17: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, waiting for jobs (3 left), finished 3 jobs
2025-04-02 19:56:18: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, finished 0 jobs
2025-04-02 19:56:18: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, trying to get 30 next steps (current done: 0, max: 500)
2025-04-02 19:56:19: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, finishing jobs (_get_next_trials), finished 0 jobs
2025-04-02 19:56:19: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #1/30
2025-04-02 19:56:19: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #2/30 | ETA: 12s
2025-04-02 19:56:20: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #3/30 | ETA: 12s
2025-04-02 19:56:20: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #4/30 | ETA: 11s
2025-04-02 19:56:21: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #5/30 | ETA: 11s
2025-04-02 19:56:22: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #6/30 | ETA: 12s
2025-04-02 19:56:23: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #7/30 | ETA: 14s
2025-04-02 19:56:23: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #8/30 | ETA: 14s
2025-04-02 19:56:24: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #9/30 | ETA: 14s
2025-04-02 19:56:25: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #10/30 | ETA: 13s
2025-04-02 19:56:26: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #11/30 | ETA: 13s
2025-04-02 19:56:27: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #12/30 | ETA: 13s
2025-04-02 19:56:28: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #13/30 | ETA: 12s
2025-04-02 19:56:29: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #14/30 | ETA: 11s
2025-04-02 19:56:30: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #15/30 | ETA: 11s
2025-04-02 19:56:30: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #16/30 | ETA: 10s
2025-04-02 19:56:31: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #17/30 | ETA: 10s
2025-04-02 19:56:32: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #18/30 | ETA: 9s
2025-04-02 19:56:33: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #19/30 | ETA: 8s
2025-04-02 19:56:34: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #20/30 | ETA: 8s
2025-04-02 19:56:35: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #21/30 | ETA: 7s
2025-04-02 19:56:36: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #22/30 | ETA: 6s
2025-04-02 19:56:37: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #23/30 | ETA: 6s
2025-04-02 19:56:38: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #24/30 | ETA: 5s
2025-04-02 19:56:39: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #25/30 | ETA: 4s
2025-04-02 19:56:40: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #26/30 | ETA: 3s
2025-04-02 19:56:41: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #27/30 | ETA: 3s
2025-04-02 19:56:41: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #28/30 | ETA: 2s
2025-04-02 19:56:42: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #29/30 | ETA: 1s
2025-04-02 19:56:43: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, getting new hyperparameter set #30/30 | ETA: 0s
2025-04-02 19:56:44: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, starting parameter set
2025-04-02 19:56:44: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, starting new job
2025-04-02 19:56:46: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, unknown 1 (3%/30), started new job
2025-04-02 19:56:46: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, unknown 1 (3%/30), starting parameter set
2025-04-02 19:56:47: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, unknown 1 (3%/30), starting new job
2025-04-02 19:56:49: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), started new job
2025-04-02 19:56:49: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), starting parameter set
2025-04-02 19:56:49: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), starting new job
2025-04-02 19:56:51: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 1/2 (10%/30), started new job
2025-04-02 19:56:51: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 1/2 (10%/30), starting parameter set
2025-04-02 19:56:52: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 1/2 (10%/30), starting new job
2025-04-02 19:56:54: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 3/1 (13%/30), started new job
2025-04-02 19:56:54: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 3/1 (13%/30), starting parameter set
2025-04-02 19:56:54: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 3/1 (13%/30), starting new job
2025-04-02 19:56:56: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 3/2 (17%/30), started new job
2025-04-02 19:56:56: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 3/2 (17%/30), starting parameter set
2025-04-02 19:56:56: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 3/2 (17%/30), starting new job
2025-04-02 19:56:59: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 5/1 (20%/30), started new job
2025-04-02 19:56:59: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 5/1 (20%/30), starting parameter set
2025-04-02 19:56:59: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 5/1 (20%/30), starting new job
2025-04-02 19:57:01: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 5/2 (23%/30), started new job
2025-04-02 19:57:01: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 5/2 (23%/30), starting parameter set
2025-04-02 19:57:02: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 7 (23%/30), starting new job
2025-04-02 19:57:05: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 7/1 (27%/30), started new job
2025-04-02 19:57:05: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 7/1 (27%/30), starting parameter set
2025-04-02 19:57:06: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 7/1 (27%/30), starting new job
2025-04-02 19:57:08: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 8/1 (30%/30), started new job
2025-04-02 19:57:08: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 8/1 (30%/30), starting parameter set
2025-04-02 19:57:10: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 8/1 (30%/30), starting new job
2025-04-02 19:57:12: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 8/2 (33%/30), started new job
2025-04-02 19:57:12: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 8/2 (33%/30), starting parameter set
2025-04-02 19:57:13: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 10 (33%/30), starting new job
2025-04-02 19:57:16: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 10/1 (37%/30), started new job
2025-04-02 19:57:16: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 10/1 (37%/30), starting parameter set
2025-04-02 19:57:17: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 11 (37%/30), starting new job
2025-04-02 19:57:19: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 11/1 (40%/30), started new job
2025-04-02 19:57:19: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 11/1 (40%/30), starting parameter set
2025-04-02 19:57:20: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 11/1 (40%/30), starting new job
2025-04-02 19:57:22: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 11/2 (43%/30), started new job
2025-04-02 19:57:22: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 11/2 (43%/30), starting parameter set
2025-04-02 19:57:22: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 11/2 (43%/30), starting new job
2025-04-02 19:57:24: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), started new job
2025-04-02 19:57:24: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), starting parameter set
2025-04-02 19:57:25: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), starting new job
2025-04-02 19:57:28: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 13/2 (50%/30), started new job
2025-04-02 19:57:28: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 13/2 (50%/30), starting parameter set
2025-04-02 19:57:28: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 13/2 (50%/30), starting new job
2025-04-02 19:57:30: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 14/2 (53%/30), started new job
2025-04-02 19:57:30: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 14/2 (53%/30), starting parameter set
2025-04-02 19:57:31: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 14/2 (53%/30), starting new job
2025-04-02 19:57:34: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 16/1 (57%/30), started new job
2025-04-02 19:57:34: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 16/1 (57%/30), starting parameter set
2025-04-02 19:57:34: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 16/1 (57%/30), starting new job
2025-04-02 19:57:36: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 16/2 (60%/30), started new job
2025-04-02 19:57:36: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 16/2 (60%/30), starting parameter set
2025-04-02 19:57:37: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 16/2 (60%/30), starting new job
2025-04-02 19:57:39: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 18/1 (63%/30), started new job
2025-04-02 19:57:39: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 18/1 (63%/30), starting parameter set
2025-04-02 19:57:40: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 18/1 (63%/30), starting new job
2025-04-02 19:57:42: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 18/2 (67%/30), started new job
2025-04-02 19:57:42: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 18/2 (67%/30), starting parameter set
2025-04-02 19:57:43: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 20 (67%/30), starting new job
2025-04-02 19:57:46: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 20/1 (70%/30), started new job
2025-04-02 19:57:46: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 20/1 (70%/30), starting parameter set
2025-04-02 19:57:47: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 20/1 (70%/30), starting new job
2025-04-02 19:57:49: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), started new job
2025-04-02 19:57:49: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), starting parameter set
2025-04-02 19:57:50: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), starting new job
2025-04-02 19:57:53: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 21/2 (77%/30), started new job
2025-04-02 19:57:53: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 21/2 (77%/30), starting parameter set
2025-04-02 19:57:54: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 23 (77%/30), starting new job
2025-04-02 19:57:56: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), started new job
2025-04-02 19:57:56: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), starting parameter set
2025-04-02 19:57:57: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), starting new job
2025-04-02 19:57:59: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 23/2 (83%/30), started new job
2025-04-02 19:57:59: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 23/2 (83%/30), starting parameter set
2025-04-02 19:57:59: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 23/2 (83%/30), starting new job
2025-04-02 19:58:01: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 24/2 (87%/30), started new job
2025-04-02 19:58:01: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 24/2 (87%/30), starting parameter set
2025-04-02 19:58:01: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 24/2 (87%/30), starting new job
2025-04-02 19:58:03: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/1 (90%/30), started new job
2025-04-02 19:58:04: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/1 (90%/30), starting parameter set
2025-04-02 19:58:04: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/1 (90%/30), starting new job
2025-04-02 19:58:06: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/2 (93%/30), started new job
2025-04-02 19:58:06: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/2 (93%/30), starting parameter set
2025-04-02 19:58:06: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/2 (93%/30), starting new job
2025-04-02 19:58:08: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/3 (97%/30), started new job
2025-04-02 19:58:09: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/3 (97%/30), starting parameter set
2025-04-02 19:58:09: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 26/3 (97%/30), starting new job
2025-04-02 19:58:11: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending/unknown 28/2 (100%/30), started new job
2025-04-02 19:59:23: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), finishing jobs after starting them, finished 0 jobs
2025-04-02 19:59:23: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), got 30, requested 30
2025-04-02 20:00:34: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), finishing previous jobs (30), finished 0 jobs
2025-04-02 20:00:35: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:01:41: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:01:42: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:02:55: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:02:55: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:04:05: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:04:06: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:05:20: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:05:20: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:06:35: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:06:35: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:07:40: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:07:41: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:08:54: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:08:55: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:10:08: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:10:08: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:11:14: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:11:14: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:12:30: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:12:30: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:13:36: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:13:36: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:14:52: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:14:52: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:16:03: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:16:04: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:17:10: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:17:10: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:18:25: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:18:26: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:19:41: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:19:41: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:20:58: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:20:58: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:22:12: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:22:12: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:23:28: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:23:28: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:24:43: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:24:43: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:25:48: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:25:49: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:27:04: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:27:05: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:28:18: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:28:19: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:29:24: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:29:24: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:30:39: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:30:39: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:31:55: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:31:55: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:33:10: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:33:10: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:34:26: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:34:26: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:35:42: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:35:42: Failed jobs: 60 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)

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Download »worker_usage.csv« as file

1743614326.1482422,30,0,0
1743614326.2736368,30,0,0
1743614326.363429,30,0,0
1743614326.405978,30,0,0
1743614326.4229007,30,0,0
1743614327.0316484,30,0,0
1743614327.6690931,30,0,0
1743614328.2966533,30,0,0
1743614328.9756289,30,0,0
1743614329.6098433,30,0,0
1743614330.2171433,30,0,0
1743614330.9998782,30,0,0
1743614331.6229174,30,0,0
1743614332.3316894,30,0,0
1743614332.9286318,30,0,0
1743614333.4541733,30,0,0
1743614334.1649475,30,0,0
1743614334.8596673,30,0,0
1743614335.3039098,30,0,0
1743614335.8588288,30,0,0
1743614336.281217,30,0,0
1743614336.7158413,30,0,0
1743614337.1277611,30,0,0
1743614337.5416033,30,0,0
1743614337.95564,30,0,0
1743614338.3733327,30,0,0
1743614338.8024695,30,0,0
1743614339.2560458,30,0,0
1743614339.691536,30,0,0
1743614340.1244144,30,0,0
1743614340.5641065,30,0,0
1743614341.0282624,30,0,0
1743614341.4793022,30,0,0
1743614341.9231217,30,0,0
1743614342.461221,30,0,0
1743614342.7878532,30,0,0
1743614344.8892004,30,1,3
1743614344.923453,30,1,3
1743614345.2555656,30,1,3
1743614347.3851244,30,2,7
1743614347.4070709,30,2,7
1743614347.9653418,30,2,7
1743614350.6709774,30,3,10
1743614350.6960852,30,3,10
1743614351.247166,30,3,10
1743614353.913257,30,4,13
1743614353.9391387,30,4,13
1743614354.4591002,30,4,13
1743614356.875668,30,5,17
1743614356.8920424,30,5,17
1743614357.2546756,30,5,17
1743614359.2769878,30,6,20
1743614359.293036,30,6,20
1743614359.6380222,30,6,20
1743614361.6437404,30,7,23
1743614361.6593146,30,7,23
1743614362.0157907,30,7,23
1743614363.9835298,30,8,27
1743614363.999677,30,8,27
1743614364.3543434,30,8,27
1743614366.4252262,30,9,30
1743614366.445965,30,9,30
1743614367.0249634,30,9,30
1743614369.71272,30,10,33
1743614369.7331145,30,10,33
1743614370.3117092,30,10,33
1743614373.1146057,30,11,37
1743614373.1368966,30,11,37
1743614373.6911826,30,11,37
1743614376.325062,30,12,40
1743614376.3417552,30,12,40
1743614376.6967008,30,12,40
1743614378.768362,30,13,43
1743614378.784706,30,13,43
1743614379.1163166,30,13,43
1743614381.7049863,30,14,47
1743614381.7213569,30,14,47
1743614382.0712407,30,14,47
1743614384.0638814,30,15,50
1743614384.0798817,30,15,50
1743614384.417195,30,15,50
1743614386.599759,30,16,53
1743614386.6157453,30,16,53
1743614387.0991888,30,16,53
1743614389.535348,30,17,57
1743614389.5573378,30,17,57
1743614390.0982482,30,17,57
1743614393.326567,30,18,60
1743614393.361748,30,18,60
1743614393.9322448,30,18,60
1743614396.3767989,30,19,63
1743614396.3926241,30,19,63
1743614396.7514,30,19,63
1743614398.7806268,30,20,67
1743614398.7992864,30,20,67
1743614399.1321669,30,20,67
1743614401.2516115,30,21,70
1743614401.2684104,30,21,70
1743614401.6195815,30,21,70
1743614403.580625,30,22,73
1743614403.6267917,30,22,73
1743614403.967061,30,22,73
1743614406.43816,30,23,77
1743614406.455604,30,23,77
1743614406.839527,30,23,77
1743614409.398057,30,24,80
1743614409.4210906,30,24,80
1743614410.0089436,30,24,80
1743614412.72063,30,25,83
1743614412.7452004,30,25,83
1743614413.3119042,30,25,83
1743614416.0155778,30,26,87
1743614416.0317533,30,26,87
1743614416.3675628,30,26,87
1743614418.30224,30,27,90
1743614418.3190355,30,27,90
1743614418.698672,30,27,90
1743614420.6801157,30,28,93
1743614420.696553,30,28,93
1743614421.067638,30,28,93
1743614423.2005408,30,29,97
1743614423.2170746,30,29,97
1743614423.5508363,30,29,97
1743614425.525661,30,30,100
1743614426.0612216,30,30,100
1743614428.5747366,30,29,97
1743614430.8366454,30,28,93
1743614434.6653628,30,27,90
1743614450.2123609,30,26,87
1743614450.4110594,30,26,87
1743614450.9254165,30,26,87
1743614465.924989,30,25,83
1743614467.3203673,30,25,83
1743614473.305933,30,25,83
1743614475.6139057,30,24,80
1743614489.5262463,30,23,77
1743614489.8211572,30,23,77
1743614495.3436778,30,23,77
1743614498.2433534,30,22,73
1743614509.834435,30,21,70
1743614510.1202857,30,21,70
1743614515.793751,30,21,70
1743614518.9730403,30,20,67
1743614528.915782,30,19,63
1743614529.1908572,30,19,63
1743614542.8764622,30,19,63
1743614543.04777,30,19,63
1743614548.6933606,30,19,63
1743614551.8725262,30,18,60
1743614564.5142984,30,17,57
1743614564.7698603,30,17,57
1743614570.5142682,30,17,57
1743614588.1462877,30,16,53
1743614595.8174427,30,15,50
1743614596.0838373,30,15,50
1743614601.9926012,30,15,50
1743614611.5626397,30,14,47
1743614611.7329116,30,14,47
1743614617.6279147,30,14,47
1743614628.0952306,30,13,43
1743614628.390372,30,13,43
1743614633.9108574,30,13,43
1743614640.4328911,30,12,40
1743614640.6059697,30,12,40
1743614648.3401864,30,12,40
1743614656.6636686,30,11,37
1743614656.830619,30,11,37
1743614662.3580582,30,11,37
1743614664.5837576,30,10,33
1743614667.0249858,30,9,30
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timestamp,ram_usage_mb,cpu_usage_percent
1743614319,573.89453125,21.7
1743614326,574.15234375,21.5
1743614326,574.15234375,21.1
1743614326,574.15234375,26.0
1743614326,574.15234375,22.2
1743614326,574.15234375,22.0
1743614326,574.15234375,22.0
1743614466,588.875,22.1
1743614466,588.875,19.2
1743614467,588.875,22.5
1743614467,588.875,22.0
1743614943,595.25390625,21.7
1743614943,595.25390625,22.8
1743614943,595.25390625,22.3
1743614943,595.25390625,15.4
1743616835,605.45703125,25.9
1743616835,605.45703125,35.0
1743616835,605.45703125,27.2
1743616835,605.45703125,38.2

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•  Job-Infos
•  Main-Log
•  Debug-Logs
•  Single Logs

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				transition: all 0.3s ease-in-out;
			}
			
			.top_link:hover {
				background-color: #0056b3;
				border-color: #004494;
			}
			
			.top_link:active {
				background-color: #003366;
				border-color: #002244;
			}
			
			button {
				color: black;
			}
			
			.share_folder_buttons {
				width: fit-content;
			}
			
			button {
				background: #fcfcfe;
				border-color: #919b9c;
				border-top-color: rgb(145, 155, 156);
				border-bottom-color: rgb(145, 155, 156);
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c;
			}
			
			button {
				padding-bottom: 2px;
				margin-top: -2px;
				background-color: #ece9d8;
				position: relative;
				z-index: 8;
				margin-left: -3px;
				margin-bottom: 1px;
			}
			
			.window {
				min-width: 1100px;
			}
			
			.error_text {
				color: red;
			}
			
			[role="tab"] {
				padding: 10px !important;
			}
			
			[role="tabpanel"] {
				min-width: fit-content;
			}
			
			select {
				border: 1px solid #7f9db9;
				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;
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			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1M1 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' 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			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 17px;
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			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
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stroke='%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",
			    "recent_samples_size",
			    "n_samples",
			    "const",
			    "max_depth",
			    "threshold"
			];
			var tab_results_csv_json = [
			    [
			        0,
			        "0_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        1616,
			        166,
			        7.426549670994283,
			        19,
			        0.9529873613119125
			    ],
			    [
			        1,
			        "1_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        4575,
			        4220,
			        2.7239672617986797,
			        9,
			        0.2606373657081276
			    ],
			    [
			        2,
			        "2_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        3291,
			        1803,
			        8.63511581717059,
			        11,
			        0.1477471842505038
			    ],
			    [
			        3,
			        "3_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        332,
			        2739,
			        1.5105188193405046,
			        2,
			        0.5743095740750432
			    ],
			    [
			        4,
			        "4_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        677,
			        2304,
			        4.289996911054478,
			        5,
			        0.647797864343971
			    ],
			    [
			        5,
			        "5_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        3010,
			        3233,
			        5.875175440645777,
			        13,
			        0.07608613041043281
			    ],
			    [
			        6,
			        "6_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        4225,
			        660,
			        0.5816807555658743,
			        7,
			        0.4551600135024637
			    ],
			    [
			        7,
			        "7_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        1892,
			        4721,
			        9.588373845854774,
			        17,
			        0.7605359415430576
			    ],
			    [
			        8,
			        "8_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        2296,
			        1290,
			        1.1875448048152029,
			        14,
			        0.3532001255955547
			    ],
			    [
			        9,
			        "9_0",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1616 n_samples 166 const 7.426549670994283 max_depth 19 threshold 0.9529873613119125",
			        1616,
			        166,
			        7.426549670994283,
			        19,
			        0.9529873613119125,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1705",
			        16303423
			    ],
			    [
			        1743614394,
			        1743614408,
			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3291 n_samples 1803 const 8.63511581717059 max_depth 11 threshold 0.1477471842505038",
			        3291,
			        1803,
			        8.63511581717059,
			        11,
			        0.1477471842505038,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1706",
			        16303432
			    ],
			    [
			        1743614394,
			        1743614414,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4575 n_samples 4220 const 2.7239672617986797 max_depth 9 threshold 0.2606373657081276",
			        4575,
			        4220,
			        2.7239672617986797,
			        9,
			        0.2606373657081276,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1710",
			        16303427
			    ],
			    [
			        1743614420,
			        1743614426,
			        6,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 677 n_samples 2304 const 4.289996911054478 max_depth 5 threshold 0.647797864343971",
			        677,
			        2304,
			        4.289996911054478,
			        5,
			        0.647797864343971,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1705",
			        16303441
			    ],
			    [
			        1743614423,
			        1743614437,
			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 332 n_samples 2739 const 1.5105188193405046 max_depth 2 threshold 0.5743095740750432",
			        332,
			        2739,
			        1.5105188193405046,
			        2,
			        0.5743095740750432,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1708",
			        16303437
			    ],
			    [
			        1743614449,
			        1743614455,
			        6,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1892 n_samples 4721 const 9.588373845854774 max_depth 17 threshold 0.7605359415430576",
			        1892,
			        4721,
			        9.588373845854774,
			        17,
			        0.7605359415430576,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1705",
			        16303454
			    ],
			    [
			        1743614454,
			        1743614467,
			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4225 n_samples 660 const 0.5816807555658743 max_depth 7 threshold 0.4551600135024637",
			        4225,
			        660,
			        0.5816807555658743,
			        7,
			        0.4551600135024637,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1707",
			        16303450
			    ],
			    [
			        1743614454,
			        1743614474,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3010 n_samples 3233 const 5.875175440645777 max_depth 13 threshold 0.07608613041043281",
			        3010,
			        3233,
			        5.875175440645777,
			        13,
			        0.07608613041043281,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1714",
			        16303446
			    ],
			    [
			        1743614479,
			        1743614486,
			        7,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4005 n_samples 2861 const 8.976407040328718 max_depth 4 threshold 0.9247432629335671",
			        4005,
			        2861,
			        8.976407040328718,
			        4,
			        0.9247432629335671,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1705",
			        16303464
			    ],
			    [
			        1743614484,
			        1743614498,
			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2296 n_samples 1290 const 1.1875448048152029 max_depth 14 threshold 0.3532001255955547",
			        2296,
			        1290,
			        1.1875448048152029,
			        14,
			        0.3532001255955547,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1706",
			        16303459
			    ],
			    [
			        1743614509,
			        1743614515,
			        6,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1089 n_samples 3873 const 5.268091089710594 max_depth 7 threshold 0.24035449872910977",
			        1089,
			        3873,
			        5.268091089710594,
			        7,
			        0.24035449872910977,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1705",
			        16303474
			    ],
			    [
			        1743614514,
			        1743614534,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2799 n_samples 434 const 4.900742856157013 max_depth 16 threshold 0.5460205818526447",
			        2799,
			        434,
			        4.900742856157013,
			        16,
			        0.5460205818526447,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1708",
			        16303469
			    ],
			    [
			        1743614539,
			        1743614546,
			        7,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3695 n_samples 4687 const 2.113941110493615 max_depth 18 threshold 0.7384256745502352",
			        3695,
			        4687,
			        2.113941110493615,
			        18,
			        0.7384256745502352,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1705",
			        16303483
			    ],
			    [
			        1743614544,
			        1743614558,
			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 111 n_samples 1241 const 8.035355418178252 max_depth 10 threshold 0.04587857674434781",
			        111,
			        1241,
			        8.035355418178252,
			        10,
			        0.04587857674434781,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1706",
			        16303479
			    ],
			    [
			        1743614575,
			        1743614595,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4989 n_samples 2104 const 6.821907180590555 max_depth 1 threshold 0.8511797533314676",
			        4989,
			        2104,
			        6.821907180590555,
			        1,
			        0.8511797533314676,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1710",
			        16303488
			    ],
			    [
			        1743614599,
			        1743614606,
			        7,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4747 n_samples 3496 const 0.6410638975100592 max_depth 18 threshold 0.1773392830118537",
			        4747,
			        3496,
			        0.6410638975100592,
			        18,
			        0.1773392830118537,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1705",
			        16303502
			    ],
			    [
			        1743614605,
			        1743614618,
			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1455 n_samples 1925 const 9.210409587346017 max_depth 6 threshold 0.6074574779458344",
			        1455,
			        1925,
			        9.210409587346017,
			        6,
			        0.6074574779458344,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1707",
			        16303498
			    ],
			    [
			        1743614641,
			        1743614647,
			        6,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2555 n_samples 4053 const 7.644427058300004 max_depth 2 threshold 0.48782870270498097",
			        2555,
			        4053,
			        7.644427058300004,
			        2,
			        0.48782870270498097,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1705",
			        16303515
			    ],
			    [
			        1743614634,
			        1743614648,
			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3452 n_samples 1070 const 5.346240823679604 max_depth 4 threshold 0.2895827388148755",
			        3452,
			        1070,
			        5.346240823679604,
			        4,
			        0.2895827388148755,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1716",
			        16303506
			    ],
			    [
			        1743614635,
			        1743614648,
			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1140 n_samples 607 const 2.192410181662999 max_depth 11 threshold 0.7896335973646492",
			        1140,
			        607,
			        2.192410181662999,
			        11,
			        0.7896335973646492,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1706",
			        16303512
			    ],
			    [
			        1743614636,
			        1743614656,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 161 n_samples 4509 const 4.510114910896868 max_depth 14 threshold 0.9860519679132849",
			        161,
			        4509,
			        4.510114910896868,
			        14,
			        0.9860519679132849,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1710",
			        16303509
			    ],
			    [
			        1743614660,
			        1743614666,
			        6,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2134 n_samples 801 const 2.957978878990747 max_depth 1 threshold 0.21142435389384628",
			        2134,
			        801,
			        2.957978878990747,
			        1,
			        0.21142435389384628,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1705",
			        16303523
			    ],
			    [
			        1743614661,
			        1743614667,
			        6,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2347 n_samples 3033 const 6.275125933165663 max_depth 8 threshold 0.6772376803904772",
			        2347,
			        3033,
			        6.275125933165663,
			        8,
			        0.6772376803904772,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1705",
			        16303521
			    ],
			    [
			        1743614665,
			        1743614678,
			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3762 n_samples 1470 const 3.5568289080802353 max_depth 20 threshold 0.10962996933981776",
			        3762,
			        1470,
			        3.5568289080802353,
			        20,
			        0.10962996933981776,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1707",
			        16303518
			    ],
			    [
			        1743614690,
			        1743614697,
			        7,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 575 n_samples 1670 const 5.953634473161773 max_depth 16 threshold 0.391346577597782",
			        575,
			        1670,
			        5.953634473161773,
			        16,
			        0.391346577597782,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1705",
			        16303535
			    ],
			    [
			        1743614695,
			        1743614708,
			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4176 n_samples 4855 const 6.880079016525299 max_depth 13 threshold 0.5129407293200493",
			        4176,
			        4855,
			        6.880079016525299,
			        13,
			        0.5129407293200493,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1716",
			        16303526
			    ],
			    [
			        1743614695,
			        1743614708,
			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 919 n_samples 3374 const 8.24449798506219 max_depth 19 threshold 0.3237146247345954",
			        919,
			        3374,
			        8.24449798506219,
			        19,
			        0.3237146247345954,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1706",
			        16303532
			    ],
			    [
			        1743614696,
			        1743614716,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2961 n_samples 2438 const 1.58867736274004 max_depth 9 threshold 0.8914887611623853",
			        2961,
			        2438,
			        1.58867736274004,
			        9,
			        0.8914887611623853,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1710",
			        16303529
			    ],
			    [
			        1743614725,
			        1743614745,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3241 n_samples 2599 const 3.8990596672473474 max_depth 7 threshold 0.8217856220994144",
			        3241,
			        2599,
			        3.8990596672473474,
			        7,
			        0.8217856220994144,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1708",
			        16303538
			    ],
			    [
			        1743615961,
			        1743615981,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4525 n_samples 26 const 9.822685728668235 max_depth 15 threshold 0.7094041600860655",
			        4525,
			        26,
			        9.822685728668235,
			        15,
			        0.7094041600860655,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1692",
			        16303951
			    ],
			    [
			        1743615991,
			        1743616011,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1859 n_samples 4087 const 0.03489051246456802 max_depth 3 threshold 0.013133746184408664",
			        1859,
			        4087,
			        0.03489051246456802,
			        3,
			        0.013133746184408664,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1692",
			        16303962
			    ],
			    [
			        1743616022,
			        1743616041,
			        19,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4380 n_samples 2705 const 5.047432380804793 max_depth 20 threshold 0.45177173146232963",
			        4380,
			        2705,
			        5.047432380804793,
			        20,
			        0.45177173146232963,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1690",
			        16303975
			    ],
			    [
			        1743616022,
			        1743616042,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1734 n_samples 1759 const 4.7894047846598555 max_depth 8 threshold 0.7691627471148967",
			        1734,
			        1759,
			        4.7894047846598555,
			        8,
			        0.7691627471148967,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1691",
			        16303970
			    ],
			    [
			        1743616052,
			        1743616072,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3173 n_samples 278 const 0.9986235127802939 max_depth 2 threshold 0.08136273670382797",
			        3173,
			        278,
			        0.9986235127802939,
			        2,
			        0.08136273670382797,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1692",
			        16303983
			    ],
			    [
			        1743616052,
			        1743616072,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 528 n_samples 4342 const 8.833331402963958 max_depth 11 threshold 0.6333842970188707",
			        528,
			        4342,
			        8.833331402963958,
			        11,
			        0.6333842970188707,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1692",
			        16303987
			    ],
			    [
			        1743616082,
			        1743616102,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 793 n_samples 773 const 6.613450669061393 max_depth 14 threshold 0.5811394491884857",
			        793,
			        773,
			        6.613450669061393,
			        14,
			        0.5811394491884857,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1692",
			        16303990
			    ],
			    [
			        1743616082,
			        1743616102,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2815 n_samples 4844 const 3.2380227412963287 max_depth 5 threshold 0.1354351332616061",
			        2815,
			        4844,
			        3.2380227412963287,
			        5,
			        0.1354351332616061,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1692",
			        16303993
			    ],
			    [
			        1743616082,
			        1743616102,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4109 n_samples 2261 const 7.904482052688488 max_depth 18 threshold 0.27106112218648193",
			        4109,
			        2261,
			        7.904482052688488,
			        18,
			        0.27106112218648193,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1692",
			        16303995
			    ],
			    [
			        1743616107,
			        1743616114,
			        7,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2087 n_samples 3200 const 1.9518737563863398 max_depth 6 threshold 0.9519442005492746",
			        2087,
			        3200,
			        1.9518737563863398,
			        6,
			        0.9519442005492746,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1693",
			        16303998
			    ],
			    [
			        1743616113,
			        1743616132,
			        19,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2603 n_samples 1335 const 7.264480109873229 max_depth 7 threshold 0.7298750103358179",
			        2603,
			        1335,
			        7.264480109873229,
			        7,
			        0.7298750103358179,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1690",
			        16304005
			    ],
			    [
			        1743616113,
			        1743616133,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3887 n_samples 3752 const 1.3020646172603592 max_depth 15 threshold 0.8656390054710209",
			        3887,
			        3752,
			        1.3020646172603592,
			        15,
			        0.8656390054710209,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1691",
			        16304002
			    ],
			    [
			        1743616113,
			        1743616133,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2491 n_samples 323 const 8.550629299653695 max_depth 3 threshold 0.4196138102337718",
			        2491,
			        323,
			        8.550629299653695,
			        3,
			        0.4196138102337718,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1691",
			        16304000
			    ],
			    [
			        1743616138,
			        1743616144,
			        6,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1208 n_samples 2896 const 2.5930963547546417 max_depth 16 threshold 0.04919071742706001",
			        1208,
			        2896,
			        2.5930963547546417,
			        16,
			        0.04919071742706001,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1693",
			        16304008
			    ],
			    [
			        1743616143,
			        1743616163,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3578 n_samples 3702 const 9.477038083806633 max_depth 10 threshold 0.5470484966840595",
			        3578,
			        3702,
			        9.477038083806633,
			        10,
			        0.5470484966840595,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1692",
			        16304015
			    ],
			    [
			        1743616143,
			        1743616163,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 306 n_samples 2148 const 0.3610195882143453 max_depth 19 threshold 0.2299459705222398",
			        306,
			        2148,
			        0.3610195882143453,
			        19,
			        0.2299459705222398,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1692",
			        16304011
			    ],
			    [
			        1743616168,
			        1743616174,
			        6,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4794 n_samples 1129 const 4.146918964240701 max_depth 13 threshold 0.917806789919734",
			        4794,
			        1129,
			        4.146918964240701,
			        13,
			        0.917806789919734,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1693",
			        16304018
			    ],
			    [
			        1743616173,
			        1743616193,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1522 n_samples 4565 const 5.686256607056596 max_depth 1 threshold 0.36561877448484303",
			        1522,
			        4565,
			        5.686256607056596,
			        1,
			        0.36561877448484303,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1692",
			        16304022
			    ],
			    [
			        1743616173,
			        1743616193,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1260 n_samples 957 const 1.848394777143374 max_depth 17 threshold 0.6663113909531385",
			        1260,
			        957,
			        1.848394777143374,
			        17,
			        0.6663113909531385,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1692",
			        16304025
			    ],
			    [
			        1743616198,
			        1743616205,
			        7,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4863 n_samples 4385 const 8.316777500058524 max_depth 6 threshold 0.11020103602670134",
			        4863,
			        4385,
			        8.316777500058524,
			        6,
			        0.11020103602670134,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1693",
			        16304028
			    ],
			    [
			        1743616203,
			        1743616223,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 44 n_samples 3530 const 7.186176052561031 max_depth 5 threshold 0.8024481813125313",
			        44,
			        3530,
			        7.186176052561031,
			        5,
			        0.8024481813125313,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1690",
			        16304034
			    ],
			    [
			        1743616204,
			        1743616223,
			        19,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 945 n_samples 1513 const 9.868111305736937 max_depth 3 threshold 0.9812474380359053",
			        945,
			        1513,
			        9.868111305736937,
			        3,
			        0.9812474380359053,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1690",
			        16304036
			    ],
			    [
			        1743616203,
			        1743616224,
			        21,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3647 n_samples 1968 const 2.983878623357974 max_depth 13 threshold 0.48147090400755405",
			        3647,
			        1968,
			        2.983878623357974,
			        13,
			        0.48147090400755405,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1691",
			        16304031
			    ],
			    [
			        1743616258,
			        1743616265,
			        7,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 2018 n_samples 2393 const 5.593753507762217 max_depth 12 threshold 0.019567686239257455",
			        2018,
			        2393,
			        5.593753507762217,
			        12,
			        0.019567686239257455,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1693",
			        16304048
			    ],
			    [
			        1743616263,
			        1743616283,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4371 n_samples 3340 const 4.555542797414587 max_depth 1 threshold 0.6965134347807616",
			        4371,
			        3340,
			        4.555542797414587,
			        1,
			        0.6965134347807616,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1692",
			        16304052
			    ],
			    [
			        1743616263,
			        1743616283,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3077 n_samples 913 const 9.224104824887588 max_depth 18 threshold 0.8326662267223001",
			        3077,
			        913,
			        9.224104824887588,
			        18,
			        0.8326662267223001,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1692",
			        16304055
			    ],
			    [
			        1743616293,
			        1743616313,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 724 n_samples 4977 const 0.9203093795655296 max_depth 10 threshold 0.39082119572535157",
			        724,
			        4977,
			        0.9203093795655296,
			        10,
			        0.39082119572535157,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1691",
			        16304060
			    ],
			    [
			        1743622914,
			        1743622921,
			        7,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4643 n_samples 1625 const 2.4985049082497137 max_depth 4 threshold 0.5177604874689132",
			        4643,
			        1625,
			        2.4985049082497137,
			        4,
			        0.5177604874689132,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1697",
			        16306317
			    ],
			    [
			        1743622919,
			        1743622933,
			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 457 n_samples 137 const 3.6291059646308423 max_depth 8 threshold 0.3327373653650284",
			        457,
			        137,
			        3.6291059646308423,
			        8,
			        0.3327373653650284,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1703",
			        16306312
			    ],
			    [
			        1743622919,
			        1743622939,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3436 n_samples 4209 const 6.534845657018014 max_depth 16 threshold 0.8886791534386576",
			        3436,
			        4209,
			        6.534845657018014,
			        16,
			        0.8886791534386576,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1700",
			        16306314
			    ],
			    [
			        1743622949,
			        1743622962,
			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3398 n_samples 704 const 3.428220823395066 max_depth 10 threshold 0.6248191518187522",
			        3398,
			        704,
			        3.428220823395066,
			        10,
			        0.6248191518187522,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1707",
			        16306324
			    ],
			    [
			        1743622949,
			        1743622963,
			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 420 n_samples 4775 const 6.72229628633149 max_depth 18 threshold 0.08943459707126021",
			        420,
			        4775,
			        6.72229628633149,
			        18,
			        0.08943459707126021,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1703",
			        16306327
			    ],
			    [
			        1743622949,
			        1743622963,
			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1704 n_samples 2192 const 2.058309053866193 max_depth 1 threshold 0.44375516280718147",
			        1704,
			        2192,
			        2.058309053866193,
			        1,
			        0.44375516280718147,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1708",
			        16306320
			    ],
			    [
			        1743622949,
			        1743622963,
			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 4682 n_samples 3131 const 8.087325508146547 max_depth 12 threshold 0.7776611199136824",
			        4682,
			        3131,
			        8.087325508146547,
			        12,
			        0.7776611199136824,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1708",
			        16306322
			    ],
			    [
			        1743622949,
			        1743622969,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 1664 n_samples 2564 const 7.6703292611129585 max_depth 15 threshold 0.19649302533827723",
			        1664,
			        2564,
			        7.6703292611129585,
			        15,
			        0.19649302533827723,
			        "None",
			        "None",
			        1,
			        "None",
			        "n1720",
			        16306319
			    ],
			    [
			        1743622975,
			        1743622981,
			        6,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 PokerHand 2000 HoeffdingTreeClassifier BNDM recent_samples_size 3118 n_samples 4332 const 1.1269922808110713 max_depth 8 threshold 0.5892111013568938",
			        3118,
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			        1.1269922808110713,
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			        763,
			        268,
			        9.043062246111221,
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			        4334,
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			        5.173400662828238,
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			        2189,
			        1139,
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			        3.8079926168760285,
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			        1247,
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			        2453,
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			        1.6443475625254214,
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			        3850,
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			        4068,
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			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1743614319,
			        573.89453125,
			        21.7
			    ],
			    [
			        1743614326,
			        574.15234375,
			        21.5
			    ],
			    [
			        1743614326,
			        574.15234375,
			        21.1
			    ],
			    [
			        1743614326,
			        574.15234375,
			        26
			    ],
			    [
			        1743614326,
			        574.15234375,
			        22.2
			    ],
			    [
			        1743614326,
			        574.15234375,
			        22
			    ],
			    [
			        1743614326,
			        574.15234375,
			        22
			    ],
			    [
			        1743614466,
			        588.875,
			        22.1
			    ],
			    [
			        1743614466,
			        588.875,
			        19.2
			    ],
			    [
			        1743614467,
			        588.875,
			        22.5
			    ],
			    [
			        1743614467,
			        588.875,
			        22
			    ],
			    [
			        1743614943,
			        595.25390625,
			        21.7
			    ],
			    [
			        1743614943,
			        595.25390625,
			        22.8
			    ],
			    [
			        1743614943,
			        595.25390625,
			        22.3
			    ],
			    [
			        1743614943,
			        595.25390625,
			        15.4
			    ],
			    [
			        1743616835,
			        605.45703125,
			        25.9
			    ],
			    [
			        1743616835,
			        605.45703125,
			        35
			    ],
			    [
			        1743616835,
			        605.45703125,
			        27.2
			    ],
			    [
			        1743616835,
			        605.45703125,
			        38.2
			    ]
			];
			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));
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					<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>1</td><td>5000</td><td>int</td><td>No         </td></tr><tr><td> n_samples</td><td>range</td><td>1</td><td>5000</td><td>int</td><td>No         </td></tr><tr><td> const</td><td>range</td><td>0.001</td><td>10</td><td>float</td><td>No         </td></tr><tr><td> max_depth</td><td>range</td><td>1</td><td>20</td><td>int</td><td>No         </td></tr><tr><td> threshold</td><td>range</td><td>0.001</td><td>0.999</td><td>float</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>60</td>
			<td>0</td>
			<td>30</td>
			<td>90</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>
			<h2>Last progressbar status:</h2>
			<tt>2025-04-02 20:35:42: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)</tt><br>
			<h2>Git-Version:</h2>
			<tt>Commit: 748be6af2e38a3c47ed5b1c8cc0139d9175bbc80 (5373)
			</tt>
			<h1>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,recent_samples_size,n_samples,const,max_depth,threshold
0,0_0,FAILED,Sobol,GenerationStep_0,1616,166,7.426549670994282870140068553155,19,0.952987361311912528627487972699
1,1_0,FAILED,Sobol,GenerationStep_0,4575,4220,2.723967261798679651008114888100,9,0.260637365708127621832801423807
2,2_0,FAILED,Sobol,GenerationStep_0,3291,1803,8.635115817170589735951580223627,11,0.147747184250503788005559613339
3,3_0,FAILED,Sobol,GenerationStep_0,332,2739,1.510518819340504581560935548623,2,0.574309574075043238750026830530
4,4_0,FAILED,Sobol,GenerationStep_0,677,2304,4.289996911054477557456721115159,5,0.647797864343971019351897666638
5,5_0,FAILED,Sobol,GenerationStep_0,3010,3233,5.875175440645777236170488322387,13,0.076086130410432814552557090337
6,6_0,FAILED,Sobol,GenerationStep_0,4225,660,0.581680755565874285650806996273,7,0.455160013502463711709822291596
7,7_0,FAILED,Sobol,GenerationStep_0,1892,4721,9.588373845854773591668163135182,17,0.760535941543057592006960021536
8,8_0,FAILED,Sobol,GenerationStep_0,2296,1290,1.187544804815202859060718765249,14,0.353200125595554692559119303041
9,9_0,FAILED,Sobol,GenerationStep_0,4005,2861,8.976407040328718167643273773137,4,0.924743262933567122807687610475
10,10_0,FAILED,Sobol,GenerationStep_0,2799,434,4.900742856157012994344768230803,16,0.546020581852644681930541992188
11,11_0,FAILED,Sobol,GenerationStep_0,1089,3873,5.268091089710593699635410303017,7,0.240354498729109772314771475976
12,12_0,FAILED,Sobol,GenerationStep_0,111,1241,8.035355418178252051575327641331,10,0.045878576744347809857060838112
13,13_0,FAILED,Sobol,GenerationStep_0,3695,4687,2.113941110493615216370244525024,18,0.738425674550235222604044338368
14,14_0,FAILED,Sobol,GenerationStep_0,4989,2104,6.821907180590555341836989100557,1,0.851179753331467559007705858676
15,15_0,FAILED,Sobol,GenerationStep_0,1405,3668,3.322506800367496904158315373934,12,0.424936101341620076077276735305
16,16_0,FAILED,Sobol,GenerationStep_0,1455,1925,9.210409587346017445952384150587,6,0.607457477945834378729728086910
17,17_0,FAILED,Sobol,GenerationStep_0,4747,3496,0.641063897510059210738120327733,18,0.177339283011853698912574373026
18,18_0,FAILED,Sobol,GenerationStep_0,3452,1070,5.346240823679604403650955646299,4,0.289582738814875506605517330172
19,19_0,FAILED,Sobol,GenerationStep_0,161,4509,4.510114910896867890244266163791,14,0.986051967913284865829837144702
20,20_0,FAILED,Sobol,GenerationStep_0,1140,607,2.192410181662999058005425467854,11,0.789633597364649220118337780150
21,21_0,FAILED,Sobol,GenerationStep_0,2555,4053,7.644427058300004240720681991661,2,0.487828702704980965432213224631
22,22_0,FAILED,Sobol,GenerationStep_0,3762,1470,3.556828908080235329691731749335,20,0.109629969339817764928390886325
23,23_0,FAILED,Sobol,GenerationStep_0,2347,3033,6.275125933165663028034941817168,8,0.677237680390477159164674958447
24,24_0,FAILED,Sobol,GenerationStep_0,2134,801,2.957978878990747073629563601571,1,0.211424353893846284080382247339
25,25_0,FAILED,Sobol,GenerationStep_0,4176,4855,6.880079016525298740702965005767,13,0.512940729320049304540418688703
26,26_0,FAILED,Sobol,GenerationStep_0,2961,2438,1.588677362740039900046440379811,9,0.891488761162385290326426456886
27,27_0,FAILED,Sobol,GenerationStep_0,919,3374,8.244497985062189115978981135413,19,0.323714624734595390886937593677
28,28_0,FAILED,Sobol,GenerationStep_0,575,1670,5.953634473161772966420812736033,16,0.391346577597782019353189753019
29,29_0,FAILED,Sobol,GenerationStep_0,3241,2599,3.899059667247347427121439977782,7,0.821785622099414414520879290649
30,30_0,FAILED,Sobol,GenerationStep_0,4525,26,9.822685728668234972360551182646,15,0.709404160086065549428724352765
31,31_0,FAILED,Sobol,GenerationStep_0,1859,4087,0.034890512464568021466781999607,3,0.013133746184408663648657267231
32,32_0,FAILED,Sobol,GenerationStep_0,1734,1759,4.789404784659855529582728195237,8,0.769162747114896738764855399495
33,33_0,FAILED,Sobol,GenerationStep_0,4380,2705,5.047432380804792728667962364852,20,0.451771731462329628747909282538
34,34_0,FAILED,Sobol,GenerationStep_0,3173,278,0.998623512780293931534458806709,2,0.081362736703827973072655765918
35,35_0,FAILED,Sobol,GenerationStep_0,528,4342,8.833331402963958467466909496579,11,0.633384297018870667805856555788
36,36_0,FAILED,Sobol,GenerationStep_0,793,773,6.613450669061393227821099571884,14,0.581139449188485701647266523651
37,37_0,FAILED,Sobol,GenerationStep_0,2815,4844,3.238022741296328721460895394557,5,0.135435133261606110988140017071
38,38_0,FAILED,Sobol,GenerationStep_0,4109,2261,7.904482052688488025182778073940,18,0.271061122186481928686418996222
39,39_0,FAILED,Sobol,GenerationStep_0,2087,3200,1.951873756386339753277070485638,6,0.951944200549274643918806759757
40,40_0,FAILED,Sobol,GenerationStep_0,2491,323,8.550629299653694559424366161693,3,0.419613810233771811208924873426
41,41_0,FAILED,Sobol,GenerationStep_0,3887,3752,1.302064617260359158379401378625,15,0.865639005471020905879697693308
42,42_0,FAILED,Sobol,GenerationStep_0,2603,1335,7.264480109873228563799330004258,7,0.729875010335817919759904270904
43,43_0,FAILED,Sobol,GenerationStep_0,1208,2896,2.593096354754641730266939703142,16,0.049190717427060007271855113231
44,44_0,FAILED,Sobol,GenerationStep_0,306,2148,0.361019588214345321652842812910,19,0.229945970522239806488329350032
45,45_0,FAILED,Sobol,GenerationStep_0,3578,3702,9.477038083806633039785083383322,10,0.547048496684059526451449073647
46,46_0,FAILED,Sobol,GenerationStep_0,4794,1129,4.146918964240700944401396554895,13,0.917806789919733967408888020145
47,47_0,FAILED,Sobol,GenerationStep_0,1522,4565,5.686256607056596301674744609045,1,0.365618774484843034322523180890
48,48_0,FAILED,Sobol,GenerationStep_0,1260,957,1.848394777143373968186779165990,17,0.666311390953138515946818642988
49,49_0,FAILED,Sobol,GenerationStep_0,4863,4385,8.316777500058524452697383821942,6,0.110201036026701337799948987595
50,50_0,FAILED,Sobol,GenerationStep_0,3647,1968,2.983878623357973935981135582551,13,0.481470904007554045822558919099
51,51_0,FAILED,Sobol,GenerationStep_0,44,3530,7.186176052561030758170090848580,5,0.802448181312531261255571735092
52,52_0,FAILED,Sobol,GenerationStep_0,945,1513,9.868111305736936955668170412537,3,0.981247438035905306108475087967
53,53_0,FAILED,Sobol,GenerationStep_0,2674,3067,0.282405654992908261569084515941,11,0.304498839098960139004645952809
54,54_0,FAILED,Sobol,GenerationStep_0,3957,494,6.232877496771514813644898822531,9,0.168209944481030104768137789506
55,55_0,FAILED,Sobol,GenerationStep_0,2228,3930,3.912757214237935876610663399333,20,0.610373683569952807381753245863
56,56_0,FAILED,Sobol,GenerationStep_0,2018,2393,5.593753507762216692356105340878,12,0.019567686239257454927642498888
57,57_0,FAILED,Sobol,GenerationStep_0,4371,3340,4.555542797414586786430845677387,1,0.696513434780761553355432624812
58,58_0,FAILED,Sobol,GenerationStep_0,3077,913,9.224104824887588094384227588307,18,0.832666226722300062412784882326
59,59_0,FAILED,Sobol,GenerationStep_0,724,4977,0.920309379565529606104234972008,10,0.390821195725351566707672645862
60,60_0,RUNNING,Sobol,GenerationStep_0,457,137,3.629105964630842340312710803119,8,0.332737365365028403552116742503
61,61_0,RUNNING,Sobol,GenerationStep_0,3436,4209,6.534845657018014009054240887053,16,0.888679153438657554175961195142
62,62_0,RUNNING,Sobol,GenerationStep_0,4643,1625,2.498504908249713718504381176899,4,0.517760487468913233044531807536
63,63_0,RUNNING,Sobol,GenerationStep_0,1664,2564,7.670329261112958540991257905262,15,0.196493025338277227387351331345
64,64_0,RUNNING,Sobol,GenerationStep_0,1704,2192,2.058309053866192783743827021681,1,0.443755162807181469108996907380
65,65_0,RUNNING,Sobol,GenerationStep_0,4682,3131,8.087325508146546937382481701206,12,0.777661119913682363780083051097
66,66_0,RUNNING,Sobol,GenerationStep_0,3398,704,3.428220823395065952610138992895,10,0.624819151818752249738508908194
67,67_0,RUNNING,Sobol,GenerationStep_0,420,4775,6.722296286331490122734066972043,18,0.089434597071260210632281939525
68,68_0,RUNNING,Sobol,GenerationStep_0,763,268,9.043062246111221114119871344883,16,0.126869779862463477604350714500
69,69_0,RUNNING,Sobol,GenerationStep_0,3118,4332,1.126992280811071278634472037083,8,0.589211101356893807157177889167
70,70_0,RUNNING,Sobol,GenerationStep_0,4334,1749,5.173400662828237628332317399327,15,0.943927899578586249162981403060
71,71_0,RUNNING,Sobol,GenerationStep_0,1980,2695,4.991771763370373093948728637770,4,0.279559762669727207562431203769
72,72_0,RUNNING,Sobol,GenerationStep_0,2189,1139,5.813440851236694406622973474441,6,0.874143326813355048265918867401
73,73_0,RUNNING,Sobol,GenerationStep_0,3917,4575,4.355393169129268216011041658930,17,0.411603190122172224452157252017
74,74_0,RUNNING,Sobol,GenerationStep_0,2711,2158,9.678219942679628928772217477672,5,0.057268050454556941597505925756
75,75_0,RUNNING,Sobol,GenerationStep_0,983,3712,0.485731827965937557056719242610,13,0.721315337795764177641899550508
76,76_0,RUNNING,Sobol,GenerationStep_0,3,1402,2.774754690375178967087776982225,11,0.555126097396016149332353961654
77,77_0,RUNNING,Sobol,GenerationStep_0,3608,2963,7.369659365081228763472154241754,3,0.221386565666645773742260416839
78,78_0,RUNNING,Sobol,GenerationStep_0,4901,390,1.409725710679776922162886876322,20,0.374122887628152989147878315634
79,79_0,RUNNING,Sobol,GenerationStep_0,1297,3819,8.739570743493736415530293015763,9,0.909795961609110248602405590646
80,80_0,RUNNING,Sobol,GenerationStep_0,1562,524,3.807992616876028524330877189641,15,0.118692149743437766473697081437
81,81_0,RUNNING,Sobol,GenerationStep_0,4833,3960,6.048363043202088284999717870960,3,0.658302553545683677427291513595
82,82_0,RUNNING,Sobol,GenerationStep_0,3540,1543,0.095404893310740590539609229381,16,0.810512072490528256984987365286
83,83_0,RUNNING,Sobol,GenerationStep_0,269,3097,9.756068666043692161338185542263,7,0.472913255831226730929728319097
84,84_0,RUNNING,Sobol,GenerationStep_0,1247,2018,6.979651767626405600708494603168,10,0.312562997961416844105997370207
85,85_0,RUNNING,Sobol,GenerationStep_0,2644,3580,2.852302999121136828364342363784,19,0.972690057544037700587580275169
86,86_0,RUNNING,Sobol,GenerationStep_0,3850,1006,8.192489751935935871074434544425,1,0.618864589087665062372423108172
87,87_0,RUNNING,Sobol,GenerationStep_0,2453,4435,1.644347562525421357904065189359,13,0.160200898874551050932169005137
88,88_0,RUNNING,Sobol,GenerationStep_0,2047,1578,7.539933988818899202044576668413,20,0.688510070033371501807550885133
89,89_0,RUNNING,Sobol,GenerationStep_0,4068,2516,2.293241433481685742634681446361,8,0.028064272616058587306309135556
</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">
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303423/16303423_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303427/16303427_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303432/16303432_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303441/16303441_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303437/16303437_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303450/16303450_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303454/16303454_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303446/16303446_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303464/16303464_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303459/16303459_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303474/16303474_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303469/16303469_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303483/16303483_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303479/16303479_0_log.err not found


⚠ Job 16303493 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303493/16303493_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303493/16303493_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 7, in &lt;module&gt;
    from submitit.core.submission import submitit_main
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 16, in &lt;module&gt;
    import numpy  # type: ignore  # noqa
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py&quot;, line 181, in &lt;module&gt;
    from . import lib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/__init__.py&quot;, line 23, in &lt;module&gt;
    from . import _index_tricks_impl
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_index_tricks_impl.py&quot;, line 12, in &lt;module&gt;
    import numpy.matrixlib as matrixlib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/__init__.py&quot;, line 4, in &lt;module&gt;
    from . import defmatrix
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/defmatrix.py&quot;, line 12, in &lt;module&gt;
    from numpy.linalg import matrix_power
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/__init__.py&quot;, line 88, in &lt;module&gt;
    from . import _linalg
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/_linalg.py&quot;, line 41, in &lt;module&gt;
    from numpy._typing import NDArray
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_typing/__init__.py&quot;, line 19, in &lt;module&gt;
    from ._nbit import (
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 688, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 879, in exec_module
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 975, in get_code
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1073, in get_data
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303493/16303493_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303488/16303488_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303502/16303502_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303498/16303498_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303515/16303515_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303506/16303506_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303509/16303509_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303512/16303512_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303521/16303521_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303523/16303523_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303518/16303518_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303535/16303535_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303526/16303526_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303532/16303532_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303529/16303529_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303538/16303538_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303951/16303951_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303962/16303962_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303970/16303970_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303975/16303975_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303983/16303983_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303987/16303987_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303990/16303990_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303993/16303993_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303995/16303995_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16303998/16303998_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304005/16304005_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304000/16304000_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304002/16304002_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304008/16304008_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304011/16304011_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304015/16304015_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304018/16304018_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304022/16304022_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304025/16304025_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304028/16304028_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304031/16304031_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304034/16304034_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304036/16304036_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304048/16304048_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304052/16304052_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304055/16304055_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304060/16304060_0_log.err not found

Job SlurmJob&lt;job_id=16304039, task_id=0, state=&quot;FAILED&quot;&gt;, state not in &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;, &#039;interrupted&#039;], which would be removed from the job list, or &#039;completed&#039;, &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;], which would be ignored: failed

Job SlurmJob&lt;job_id=16304041, task_id=0, state=&quot;FAILED&quot;&gt;, state not in &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;, &#039;interrupted&#039;], which would be removed from the job list, or &#039;completed&#039;, &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;], which would be ignored: failed

Job SlurmJob&lt;job_id=16304045, task_id=0, state=&quot;FAILED&quot;&gt;, state not in &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;, &#039;interrupted&#039;], which would be removed from the job list, or &#039;completed&#039;, &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;], which would be ignored: failed

Job SlurmJob&lt;job_id=16304039, task_id=0, state=&quot;FAILED&quot;&gt;, state not in &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;, &#039;interrupted&#039;], which would be removed from the job list, or &#039;completed&#039;, &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;], which would be ignored: failed

Job SlurmJob&lt;job_id=16304041, task_id=0, state=&quot;FAILED&quot;&gt;, state not in &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;, &#039;interrupted&#039;], which would be removed from the job list, or &#039;completed&#039;, &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;], which would be ignored: failed

Job SlurmJob&lt;job_id=16304045, task_id=0, state=&quot;FAILED&quot;&gt;, state not in &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;, &#039;interrupted&#039;], which would be removed from the job list, or &#039;completed&#039;, &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;], which would be ignored: failed


⚠ Job 16304039 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304039/16304039_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304039/16304039_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 11, in &lt;module&gt;
    submitit_main()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 76, in submitit_main
    process_job(args.folder)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 37, in process_job
    env = job_environment.JobEnvironment()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/job_environment.py&quot;, line 44, in __new__
    return plugins.get_job_environment()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py&quot;, line 71, in get_job_environment
    envs = get_job_environments()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py&quot;, line 88, in get_job_environments
    return {env.name(): env for env in _get_plugins()1]}
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py&quot;, line 24, in _get_plugins
    import pkg_resources
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/__init__.py&quot;, line 78, in &lt;module&gt;
    __import__(&#039;pkg_resources.extern.packaging.requirements&#039;)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/requirements.py&quot;, line 9, in &lt;module&gt;
    from pkg_resources.extern.pyparsing import stringStart, stringEnd, originalTextFor, ParseException
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 674, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 571, in module_from_spec
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py&quot;, line 52, in create_module
    return self.load_module(spec.name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py&quot;, line 37, in load_module
    __import__(extant)
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 688, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 879, in exec_module
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1012, in get_code
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 672, in _compile_bytecode
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304039/16304039_0_log.err not found


⚠ Job 16304041 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304041/16304041_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304041/16304041_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 11, in &lt;module&gt;
    submitit_main()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 76, in submitit_main
    process_job(args.folder)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 37, in process_job
    env = job_environment.JobEnvironment()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/job_environment.py&quot;, line 44, in __new__
    return plugins.get_job_environment()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py&quot;, line 71, in get_job_environment
    envs = get_job_environments()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py&quot;, line 88, in get_job_environments
    return {env.name(): env for env in _get_plugins()1]}
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py&quot;, line 24, in _get_plugins
    import pkg_resources
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/__init__.py&quot;, line 78, in &lt;module&gt;
    __import__(&#039;pkg_resources.extern.packaging.requirements&#039;)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/requirements.py&quot;, line 9, in &lt;module&gt;
    from pkg_resources.extern.pyparsing import stringStart, stringEnd, originalTextFor, ParseException
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 674, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 571, in module_from_spec
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py&quot;, line 52, in create_module
    return self.load_module(spec.name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py&quot;, line 37, in load_module
    __import__(extant)
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 688, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 879, in exec_module
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1012, in get_code
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 672, in _compile_bytecode
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304041/16304041_0_log.err not found


⚠ Job 16304045 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304045/16304045_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304045/16304045_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 11, in &lt;module&gt;
    submitit_main()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 76, in submitit_main
    process_job(args.folder)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 37, in process_job
    env = job_environment.JobEnvironment()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/job_environment.py&quot;, line 44, in __new__
    return plugins.get_job_environment()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py&quot;, line 71, in get_job_environment
    envs = get_job_environments()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py&quot;, line 88, in get_job_environments
    return {env.name(): env for env in _get_plugins()1]}
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py&quot;, line 24, in _get_plugins
    import pkg_resources
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/__init__.py&quot;, line 78, in &lt;module&gt;
    __import__(&#039;pkg_resources.extern.packaging.requirements&#039;)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/requirements.py&quot;, line 9, in &lt;module&gt;
    from pkg_resources.extern.pyparsing import stringStart, stringEnd, originalTextFor, ParseException
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 674, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 571, in module_from_spec
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py&quot;, line 52, in create_module
    return self.load_module(spec.name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/extern/__init__.py&quot;, line 37, in load_module
    __import__(extant)
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 688, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 879, in exec_module
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1012, in get_code
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 672, in _compile_bytecode
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16304045/16304045_0_log.err not found

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
			
			<h1>&nbsp;Progressbar log</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_progressbar_log")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_progressbar_log", "progressbar")'> Download &raquo;progressbar&laquo; as file</button>
<pre id='simple_pre_tab_tab_progressbar_log'>2025-04-02 19:18:46: Initializing model, Started OmniOpt2 run...
2025-04-02 19:18:46: Initializing model, finished 0 jobs
2025-04-02 19:18:46: Initializing model, trying to get 30 next steps (current done: 0, max: 500)
2025-04-02 19:18:46: Initializing model, finishing jobs (_get_next_trials), finished 0 jobs
2025-04-02 19:18:46: Initializing model, getting new hyperparameter set #1/30
2025-04-02 19:18:47: SobolGenerator, getting new hyperparameter set #2/30 | ETA: 17s
2025-04-02 19:18:47: SobolGenerator, getting new hyperparameter set #3/30 | ETA: 17s
2025-04-02 19:18:48: SobolGenerator, getting new hyperparameter set #4/30 | ETA: 16s
2025-04-02 19:18:48: SobolGenerator, getting new hyperparameter set #5/30 | ETA: 16s
2025-04-02 19:18:49: SobolGenerator, getting new hyperparameter set #6/30 | ETA: 15s
2025-04-02 19:18:50: SobolGenerator, getting new hyperparameter set #7/30 | ETA: 14s
2025-04-02 19:18:50: SobolGenerator, getting new hyperparameter set #8/30 | ETA: 14s
2025-04-02 19:18:51: SobolGenerator, getting new hyperparameter set #9/30 | ETA: 14s
2025-04-02 19:18:52: SobolGenerator, getting new hyperparameter set #10/30 | ETA: 13s
2025-04-02 19:18:52: SobolGenerator, getting new hyperparameter set #11/30 | ETA: 12s
2025-04-02 19:18:53: SobolGenerator, getting new hyperparameter set #12/30 | ETA: 11s
2025-04-02 19:18:54: SobolGenerator, getting new hyperparameter set #13/30 | ETA: 11s
2025-04-02 19:18:54: SobolGenerator, getting new hyperparameter set #14/30 | ETA: 10s
2025-04-02 19:18:55: SobolGenerator, getting new hyperparameter set #15/30 | ETA: 9s
2025-04-02 19:18:55: SobolGenerator, getting new hyperparameter set #16/30 | ETA: 9s
2025-04-02 19:18:56: SobolGenerator, getting new hyperparameter set #17/30 | ETA: 8s
2025-04-02 19:18:56: SobolGenerator, getting new hyperparameter set #18/30 | ETA: 7s
2025-04-02 19:18:57: SobolGenerator, getting new hyperparameter set #19/30 | ETA: 6s
2025-04-02 19:18:57: SobolGenerator, getting new hyperparameter set #20/30 | ETA: 6s
2025-04-02 19:18:57: SobolGenerator, getting new hyperparameter set #21/30 | ETA: 5s
2025-04-02 19:18:58: SobolGenerator, getting new hyperparameter set #22/30 | ETA: 4s
2025-04-02 19:18:58: SobolGenerator, getting new hyperparameter set #23/30 | ETA: 4s
2025-04-02 19:18:59: SobolGenerator, getting new hyperparameter set #24/30 | ETA: 3s
2025-04-02 19:18:59: SobolGenerator, getting new hyperparameter set #25/30 | ETA: 3s
2025-04-02 19:19:00: SobolGenerator, getting new hyperparameter set #26/30 | ETA: 2s
2025-04-02 19:19:00: SobolGenerator, getting new hyperparameter set #27/30 | ETA: 2s
2025-04-02 19:19:01: SobolGenerator, getting new hyperparameter set #28/30 | ETA: 1s
2025-04-02 19:19:01: SobolGenerator, getting new hyperparameter set #29/30 | ETA: 1s
2025-04-02 19:19:01: SobolGenerator, getting new hyperparameter set #30/30 | ETA: 0s
2025-04-02 19:19:02: SobolGenerator, starting parameter set
2025-04-02 19:19:02: SobolGenerator, starting new job
2025-04-02 19:19:04: SobolGenerator, unknown 1 (3%/30), started new job
2025-04-02 19:19:04: SobolGenerator, unknown 1 (3%/30), starting parameter set
2025-04-02 19:19:05: SobolGenerator, unknown 1 (3%/30), starting new job
2025-04-02 19:19:07: SobolGenerator, unknown 2 (7%/30), started new job
2025-04-02 19:19:07: SobolGenerator, unknown 2 (7%/30), starting parameter set
2025-04-02 19:19:08: SobolGenerator, pending 2 (7%/30), starting new job
2025-04-02 19:19:10: SobolGenerator, pending/unknown 2/1 (10%/30), started new job
2025-04-02 19:19:10: SobolGenerator, pending/unknown 2/1 (10%/30), starting parameter set
2025-04-02 19:19:11: SobolGenerator, pending/unknown 2/1 (10%/30), starting new job
2025-04-02 19:19:13: SobolGenerator, pending/unknown 3/1 (13%/30), started new job
2025-04-02 19:19:13: SobolGenerator, pending/unknown 3/1 (13%/30), starting parameter set
2025-04-02 19:19:14: SobolGenerator, pending/unknown 3/1 (13%/30), starting new job
2025-04-02 19:19:16: SobolGenerator, pending/unknown 3/2 (17%/30), started new job
2025-04-02 19:19:16: SobolGenerator, pending/unknown 3/2 (17%/30), starting parameter set
2025-04-02 19:19:17: SobolGenerator, pending/unknown 3/2 (17%/30), starting new job
2025-04-02 19:19:19: SobolGenerator, running/pending/unknown 1/4/1 (20%/30), started new job
2025-04-02 19:19:19: SobolGenerator, running/pending/unknown 1/4/1 (20%/30), starting parameter set
2025-04-02 19:19:19: SobolGenerator, running/pending/unknown 1/4/1 (20%/30), starting new job
2025-04-02 19:19:21: SobolGenerator, running/pending/unknown 1/4/2 (23%/30), started new job
2025-04-02 19:19:21: SobolGenerator, running/pending/unknown 1/4/2 (23%/30), starting parameter set
2025-04-02 19:19:22: SobolGenerator, running/pending/unknown 1/4/2 (23%/30), starting new job
2025-04-02 19:19:23: SobolGenerator, running/pending/unknown 1/6/1 (27%/30), started new job
2025-04-02 19:19:23: SobolGenerator, running/pending/unknown 1/6/1 (27%/30), starting parameter set
2025-04-02 19:19:24: SobolGenerator, running/pending/unknown 1/6/1 (27%/30), starting new job
2025-04-02 19:19:26: SobolGenerator, running/pending/unknown 1/6/2 (30%/30), started new job
2025-04-02 19:19:26: SobolGenerator, running/pending/unknown 1/6/2 (30%/30), starting parameter set
2025-04-02 19:19:27: SobolGenerator, running/pending/unknown 1/6/2 (30%/30), starting new job
2025-04-02 19:19:29: SobolGenerator, running/pending/unknown 1/8/1 (33%/30), started new job
2025-04-02 19:19:29: SobolGenerator, running/pending/unknown 1/8/1 (33%/30), starting parameter set
2025-04-02 19:19:30: SobolGenerator, completed/pending/unknown 1/8/1 (33%/30), starting new job
2025-04-02 19:19:33: SobolGenerator, completed/pending/unknown 1/8/2 (37%/30), started new job
2025-04-02 19:19:33: SobolGenerator, completed/pending/unknown 1/8/2 (37%/30), starting parameter set
2025-04-02 19:19:34: SobolGenerator, completed/pending 1/10 (37%/30), starting new job
2025-04-02 19:19:36: SobolGenerator, completed/pending/unknown 1/10/1 (40%/30), started new job
2025-04-02 19:19:36: SobolGenerator, completed/pending/unknown 1/10/1 (40%/30), starting parameter set
2025-04-02 19:19:36: SobolGenerator, completed/pending/unknown 1/10/1 (40%/30), starting new job
2025-04-02 19:19:38: SobolGenerator, completed/pending/unknown 1/10/2 (43%/30), started new job
2025-04-02 19:19:38: SobolGenerator, completed/pending/unknown 1/10/2 (43%/30), starting parameter set
2025-04-02 19:19:39: SobolGenerator, completed/pending/unknown 1/10/2 (43%/30), starting new job
2025-04-02 19:19:41: SobolGenerator, completed/pending/unknown 1/11/2 (47%/30), started new job
2025-04-02 19:19:41: SobolGenerator, completed/pending/unknown 1/11/2 (47%/30), starting parameter set
2025-04-02 19:19:42: SobolGenerator, completed/pending/unknown 1/11/2 (47%/30), starting new job
2025-04-02 19:19:44: SobolGenerator, completed/pending/unknown 1/11/3 (50%/30), started new job
2025-04-02 19:19:44: SobolGenerator, completed/pending/unknown 1/11/3 (50%/30), starting parameter set
2025-04-02 19:19:44: SobolGenerator, completed/pending/unknown 1/11/3 (50%/30), starting new job
2025-04-02 19:19:46: SobolGenerator, completed/pending/unknown 1/13/2 (53%/30), started new job
2025-04-02 19:19:46: SobolGenerator, completed/pending/unknown 1/13/2 (53%/30), starting parameter set
2025-04-02 19:19:47: SobolGenerator, completed/pending/unknown 1/13/2 (53%/30), starting new job
2025-04-02 19:19:49: SobolGenerator, completed/running/pending/unknown 1/2/11/3 (57%/30), started new job
2025-04-02 19:19:49: SobolGenerator, completed/running/pending/unknown 1/2/11/3 (57%/30), starting parameter set
2025-04-02 19:19:50: SobolGenerator, completed/running/pending/unknown 1/2/13/1 (57%/30), starting new job
2025-04-02 19:19:53: SobolGenerator, completed/running/pending/unknown 1/2/13/2 (60%/30), started new job
2025-04-02 19:19:53: SobolGenerator, completed/running/pending/unknown 1/2/13/2 (60%/30), starting parameter set
2025-04-02 19:19:54: SobolGenerator, completed/running/pending 1/2/15 (60%/30), starting new job
2025-04-02 19:19:56: SobolGenerator, completed/running/pending/unknown 1/2/15/1 (63%/30), started new job
2025-04-02 19:19:56: SobolGenerator, completed/running/pending/unknown 1/2/15/1 (63%/30), starting parameter set
2025-04-02 19:19:56: SobolGenerator, completed/running/pending/unknown 1/2/15/1 (63%/30), starting new job
2025-04-02 19:19:58: SobolGenerator, completed/running/pending/unknown 1/2/15/2 (67%/30), started new job
2025-04-02 19:19:58: SobolGenerator, completed/running/pending/unknown 1/2/15/2 (67%/30), starting parameter set
2025-04-02 19:19:59: SobolGenerator, completed/running/pending/unknown 1/2/15/2 (67%/30), starting new job
2025-04-02 19:20:01: SobolGenerator, completed/running/pending/unknown 1/2/17/1 (70%/30), started new job
2025-04-02 19:20:01: SobolGenerator, completed/running/pending/unknown 1/2/17/1 (70%/30), starting parameter set
2025-04-02 19:20:01: SobolGenerator, completed/running/pending/unknown 1/2/17/1 (70%/30), starting new job
2025-04-02 19:20:03: SobolGenerator, completed/running/pending/unknown 1/2/17/2 (73%/30), started new job
2025-04-02 19:20:03: SobolGenerator, completed/running/pending/unknown 1/2/17/2 (73%/30), starting parameter set
2025-04-02 19:20:03: SobolGenerator, completed/running/pending/unknown 1/2/17/2 (73%/30), starting new job
2025-04-02 19:20:06: SobolGenerator, completed/running/pending/unknown 1/2/19/1 (77%/30), started new job
2025-04-02 19:20:06: SobolGenerator, completed/running/pending/unknown 1/2/19/1 (77%/30), starting parameter set
2025-04-02 19:20:06: SobolGenerator, completed/running/pending/unknown 1/2/19/1 (77%/30), starting new job
2025-04-02 19:20:09: SobolGenerator, completed/running/pending/unknown 1/2/19/2 (80%/30), started new job
2025-04-02 19:20:09: SobolGenerator, completed/running/pending/unknown 1/2/19/2 (80%/30), starting parameter set
2025-04-02 19:20:10: SobolGenerator, completed/running/pending 2/1/21 (80%/30), starting new job
2025-04-02 19:20:12: SobolGenerator, completed/running/pending/unknown 2/1/21/1 (83%/30), started new job
2025-04-02 19:20:12: SobolGenerator, completed/running/pending/unknown 2/1/21/1 (83%/30), starting parameter set
2025-04-02 19:20:13: SobolGenerator, completed/running/pending 2/1/22 (83%/30), starting new job
2025-04-02 19:20:16: SobolGenerator, completed/running/pending/unknown 2/1/22/1 (87%/30), started new job
2025-04-02 19:20:16: SobolGenerator, completed/running/pending/unknown 2/1/22/1 (87%/30), starting parameter set
2025-04-02 19:20:16: SobolGenerator, completed/running/pending/unknown 2/1/22/1 (87%/30), starting new job
2025-04-02 19:20:18: SobolGenerator, completed/running/pending/unknown 2/1/22/2 (90%/30), started new job
2025-04-02 19:20:18: SobolGenerator, completed/running/pending/unknown 2/1/22/2 (90%/30), starting parameter set
2025-04-02 19:20:18: SobolGenerator, completed/running/pending/unknown 2/1/22/2 (90%/30), starting new job
2025-04-02 19:20:20: SobolGenerator, completed/running/pending/unknown 3/2/22/1 (93%/30), started new job
2025-04-02 19:20:20: SobolGenerator, completed/running/pending/unknown 3/2/22/1 (93%/30), starting parameter set
2025-04-02 19:20:21: SobolGenerator, completed/running/pending/unknown 3/2/22/1 (93%/30), starting new job
2025-04-02 19:20:23: SobolGenerator, completed/running/pending/unknown 3/2/22/2 (97%/30), started new job
2025-04-02 19:20:23: SobolGenerator, completed/running/pending/unknown 3/2/22/2 (97%/30), starting parameter set
2025-04-02 19:20:23: SobolGenerator, completed/running/pending/unknown 3/2/22/2 (97%/30), starting new job
2025-04-02 19:20:25: SobolGenerator, completed/running/pending/unknown 3/2/24/1 (100%/30), started new job
2025-04-02 19:20:26: SobolGenerator, completed/running/pending/unknown 3/2/24/1 (100%/30), job_failed
2025-04-02 19:20:28: Failed jobs: 1 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/running/pending/unknown 2/2/24/1 (97%/30), job_failed
2025-04-02 19:20:30: Failed jobs: 2 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/running/pending/unknown 1/2/24/1 (93%/30), job_failed
2025-04-02 19:20:34: Failed jobs: 3 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/completed/pending 1/1/25 (90%/30), job_failed
2025-04-02 19:20:50: Failed jobs: 4 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/pending 1/25 (87%/30), finishing jobs after starting them, finished 4 jobs
2025-04-02 19:20:50: Failed jobs: 4 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/pending 1/25 (87%/30), got 30, requested 30
2025-04-02 19:20:50: Failed jobs: 4 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/pending 1/25 (87%/30), job_failed
2025-04-02 19:21:05: Failed jobs: 5 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/completed/pending 2/1/22 (83%/30), finishing previous jobs (26), finished 1 job
2025-04-02 19:21:07: Failed jobs: 5 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/completed/pending 2/1/22 (83%/30), waiting for old jobs to finish (25 left)
2025-04-02 19:21:13: Failed jobs: 5 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/completed/pending 2/1/22 (83%/30), job_failed
2025-04-02 19:21:15: Failed jobs: 6 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/completed/pending 1/1/22 (80%/30), job_failed
2025-04-02 19:21:29: Failed jobs: 7 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 1/22 (77%/30), waiting for jobs (25 left), finished 2 jobs
2025-04-02 19:21:29: Failed jobs: 7 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 1/22 (77%/30), waiting for old jobs to finish (23 left)
2025-04-02 19:21:35: Failed jobs: 7 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 1/22 (77%/30), job_failed
2025-04-02 19:21:38: Failed jobs: 8 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/completed/pending 1/1/20 (73%/30), job_failed
2025-04-02 19:21:49: Failed jobs: 9 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 1/20 (70%/30), waiting for jobs (23 left), finished 2 jobs
2025-04-02 19:21:50: Failed jobs: 9 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 1/20 (70%/30), waiting for old jobs to finish (21 left)
2025-04-02 19:21:55: Failed jobs: 9 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 1/20 (70%/30), job_failed
2025-04-02 19:21:58: Failed jobs: 10 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 20 (67%/30), job_failed
2025-04-02 19:22:08: Failed jobs: 11 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 19 (63%/30), waiting for jobs (21 left), finished 2 jobs
2025-04-02 19:22:09: Failed jobs: 11 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 19 (63%/30), waiting for old jobs to finish (19 left)
2025-04-02 19:22:22: Failed jobs: 11 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 19 (63%/30), waiting for jobs (19 left), finished 0 jobs
2025-04-02 19:22:23: Failed jobs: 11 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 19 (63%/30), waiting for old jobs to finish (19 left)
2025-04-02 19:22:28: Failed jobs: 11 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 19 (63%/30), job_failed
2025-04-02 19:22:31: Failed jobs: 12 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 18 (60%/30), job_failed
2025-04-02 19:22:44: Failed jobs: 13 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 17 (57%/30), waiting for jobs (19 left), finished 2 jobs
2025-04-02 19:22:44: Failed jobs: 13 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 17 (57%/30), waiting for old jobs to finish (17 left)
2025-04-02 19:22:50: Failed jobs: 13 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/running/failed/pending 1/1/1/14 (57%/30), job_failed
2025-04-02 19:23:08: Failed jobs: 14 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/failed/pending 1/1/14 (53%/30), job_failed
2025-04-02 19:23:15: Failed jobs: 15 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 1/14 (50%/30), waiting for jobs (17 left), finished 2 jobs
2025-04-02 19:23:16: Failed jobs: 15 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 1/14 (50%/30), waiting for old jobs to finish (15 left)
2025-04-02 19:23:21: Failed jobs: 15 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 1/14 (50%/30), job_failed
2025-04-02 19:23:31: Failed jobs: 16 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 14 (47%/30), waiting for jobs (15 left), finished 1 job
2025-04-02 19:23:31: Failed jobs: 16 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 14 (47%/30), waiting for old jobs to finish (14 left)
2025-04-02 19:23:37: Failed jobs: 16 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 14 (47%/30), job_failed
2025-04-02 19:23:48: Failed jobs: 17 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 13 (43%/30), waiting for jobs (14 left), finished 1 job
2025-04-02 19:23:48: Failed jobs: 17 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 13 (43%/30), waiting for old jobs to finish (13 left)
2025-04-02 19:23:53: Failed jobs: 17 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 13 (43%/30), job_failed
2025-04-02 19:24:00: Failed jobs: 18 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 12 (40%/30), waiting for jobs (13 left), finished 1 job
2025-04-02 19:24:00: Failed jobs: 18 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 12 (40%/30), waiting for old jobs to finish (12 left)
2025-04-02 19:24:08: Failed jobs: 18 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 12 (40%/30), job_failed
2025-04-02 19:24:16: Failed jobs: 19 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 11 (37%/30), waiting for jobs (12 left), finished 1 job
2025-04-02 19:24:16: Failed jobs: 19 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 11 (37%/30), waiting for old jobs to finish (11 left)
2025-04-02 19:24:22: Failed jobs: 19 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 11 (37%/30), job_failed
2025-04-02 19:24:24: Failed jobs: 20 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 10 (33%/30), job_failed
2025-04-02 19:24:27: Failed jobs: 21 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 9 (30%/30), job_failed
2025-04-02 19:24:31: Failed jobs: 22 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 8 (27%/30), job_failed
2025-04-02 19:24:35: Failed jobs: 23 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 7 (23%/30), job_failed
2025-04-02 19:24:41: Failed jobs: 24 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 6 (20%/30), waiting for jobs (11 left), finished 5 jobs
2025-04-02 19:24:41: Failed jobs: 24 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 6 (20%/30), waiting for old jobs to finish (6 left)
2025-04-02 19:24:47: Failed jobs: 24 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 6 (20%/30), job_failed
2025-04-02 19:24:51: Failed jobs: 25 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), waiting for jobs (6 left), finished 1 job
2025-04-02 19:24:51: Failed jobs: 25 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), waiting for old jobs to finish (5 left)
2025-04-02 19:25:00: Failed jobs: 25 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), job_failed
2025-04-02 19:25:04: Failed jobs: 26 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 4 (13%/30), waiting for jobs (5 left), finished 1 job
2025-04-02 19:25:04: Failed jobs: 26 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 4 (13%/30), waiting for old jobs to finish (4 left)
2025-04-02 19:25:10: Failed jobs: 26 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 4 (13%/30), job_failed
2025-04-02 19:25:12: Failed jobs: 27 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), job_failed
2025-04-02 19:25:15: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for jobs (4 left), finished 2 jobs
2025-04-02 19:25:15: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for old jobs to finish (2 left)
2025-04-02 19:25:22: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/running 1/1 (7%/30), job_failed
2025-04-02 19:25:26: Failed jobs: 29 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running 1 (3%/30), waiting for jobs (2 left), finished 1 job
2025-04-02 19:25:26: Failed jobs: 29 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running 1 (3%/30), waiting for old jobs to finish (1 left)
2025-04-02 19:25:32: Failed jobs: 29 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running 1 (3%/30), waiting for jobs (1 left), finished 0 jobs
2025-04-02 19:25:32: Failed jobs: 29 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running 1 (3%/30), waiting for old jobs to finish (1 left)
2025-04-02 19:25:38: Failed jobs: 29 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running 1 (3%/30), waiting for jobs (1 left), finished 0 jobs
2025-04-02 19:25:38: Failed jobs: 29 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running 1 (3%/30), waiting for old jobs to finish (1 left)
2025-04-02 19:25:45: Failed jobs: 29 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running 1 (3%/30), waiting for jobs (1 left), finished 0 jobs
2025-04-02 19:25:45: Failed jobs: 29 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running 1 (3%/30), waiting for old jobs to finish (1 left)
2025-04-02 19:25:51: Failed jobs: 29 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running 1 (3%/30), job_failed
2025-04-02 19:25:55: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, waiting for jobs (1 left), finished 1 job
2025-04-02 19:25:55: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, finished 0 jobs
2025-04-02 19:25:55: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, trying to get 30 next steps (current done: 0, max: 500)
2025-04-02 19:25:56: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, finishing jobs (_get_next_trials), finished 0 jobs
2025-04-02 19:25:56: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #1/30
2025-04-02 19:25:56: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #2/30 | ETA: 11s
2025-04-02 19:25:57: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #3/30 | ETA: 11s
2025-04-02 19:25:57: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #4/30 | ETA: 10s
2025-04-02 19:25:57: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #5/30 | ETA: 10s
2025-04-02 19:25:58: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #6/30 | ETA: 10s
2025-04-02 19:25:58: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #7/30 | ETA: 9s
2025-04-02 19:25:59: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #8/30 | ETA: 9s
2025-04-02 19:25:59: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #9/30 | ETA: 8s
2025-04-02 19:26:00: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #10/30 | ETA: 8s
2025-04-02 19:26:00: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #11/30 | ETA: 8s
2025-04-02 19:26:01: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #12/30 | ETA: 7s
2025-04-02 19:26:01: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #13/30 | ETA: 7s
2025-04-02 19:26:02: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #14/30 | ETA: 7s
2025-04-02 19:26:02: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #15/30 | ETA: 6s
2025-04-02 19:26:03: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #16/30 | ETA: 6s
2025-04-02 19:26:03: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #17/30 | ETA: 6s
2025-04-02 19:26:04: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #18/30 | ETA: 5s
2025-04-02 19:26:04: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #19/30 | ETA: 5s
2025-04-02 19:26:05: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #20/30 | ETA: 4s
2025-04-02 19:26:06: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #21/30 | ETA: 4s
2025-04-02 19:26:06: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #22/30 | ETA: 4s
2025-04-02 19:26:07: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #23/30 | ETA: 3s
2025-04-02 19:26:08: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #24/30 | ETA: 3s
2025-04-02 19:26:09: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #25/30 | ETA: 3s
2025-04-02 19:26:10: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #26/30 | ETA: 2s
2025-04-02 19:26:11: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #27/30 | ETA: 2s
2025-04-02 19:26:11: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #28/30 | ETA: 1s
2025-04-02 19:26:12: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #29/30 | ETA: 1s
2025-04-02 19:26:13: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #30/30 | ETA: 0s
2025-04-02 19:26:14: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, starting parameter set
2025-04-02 19:26:15: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, starting new job
2025-04-02 19:26:17: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, unknown 1 (3%/30), started new job
2025-04-02 19:26:17: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, unknown 1 (3%/30), starting parameter set
2025-04-02 19:26:18: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 1 (3%/30), starting new job
2025-04-02 19:26:21: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), started new job
2025-04-02 19:26:21: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), starting parameter set
2025-04-02 19:26:21: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), starting new job
2025-04-02 19:26:23: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 2/1 (10%/30), started new job
2025-04-02 19:26:23: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 2/1 (10%/30), starting parameter set
2025-04-02 19:26:24: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 2/1 (10%/30), starting new job
2025-04-02 19:26:26: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 2/2 (13%/30), started new job
2025-04-02 19:26:26: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 2/2 (13%/30), starting parameter set
2025-04-02 19:26:26: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 2/2 (13%/30), starting new job
2025-04-02 19:26:28: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 4/1 (17%/30), started new job
2025-04-02 19:26:28: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 4/1 (17%/30), starting parameter set
2025-04-02 19:26:29: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 4/1 (17%/30), starting new job
2025-04-02 19:26:31: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 4/2 (20%/30), started new job
2025-04-02 19:26:31: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 4/2 (20%/30), starting parameter set
2025-04-02 19:26:31: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 4/2 (20%/30), starting new job
2025-04-02 19:26:35: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 6/1 (23%/30), started new job
2025-04-02 19:26:35: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 6/1 (23%/30), starting parameter set
2025-04-02 19:26:36: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 6/1 (23%/30), starting new job
2025-04-02 19:26:38: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 7/1 (27%/30), started new job
2025-04-02 19:26:38: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 7/1 (27%/30), starting parameter set
2025-04-02 19:26:39: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 7/1 (27%/30), starting new job
2025-04-02 19:26:42: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 7/2 (30%/30), started new job
2025-04-02 19:26:42: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 7/2 (30%/30), starting parameter set
2025-04-02 19:26:43: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 9 (30%/30), starting new job
2025-04-02 19:26:45: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 9/1 (33%/30), started new job
2025-04-02 19:26:45: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 9/1 (33%/30), starting parameter set
2025-04-02 19:26:46: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 9/1 (33%/30), starting new job
2025-04-02 19:26:48: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 11 (37%/30), started new job
2025-04-02 19:26:48: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 11 (37%/30), starting parameter set
2025-04-02 19:26:48: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 11 (37%/30), starting new job
2025-04-02 19:26:50: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 11/1 (40%/30), started new job
2025-04-02 19:26:50: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 11/1 (40%/30), starting parameter set
2025-04-02 19:26:51: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 11/1 (40%/30), starting new job
2025-04-02 19:26:53: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 11/2 (43%/30), started new job
2025-04-02 19:26:53: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 11/2 (43%/30), starting parameter set
2025-04-02 19:26:53: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 11/2 (43%/30), starting new job
2025-04-02 19:26:55: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), started new job
2025-04-02 19:26:55: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), starting parameter set
2025-04-02 19:26:56: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), starting new job
2025-04-02 19:26:59: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 14/1 (50%/30), started new job
2025-04-02 19:26:59: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 14/1 (50%/30), starting parameter set
2025-04-02 19:27:00: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 14/1 (50%/30), starting new job
2025-04-02 19:27:02: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 14/2 (53%/30), started new job
2025-04-02 19:27:02: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 14/2 (53%/30), starting parameter set
2025-04-02 19:27:03: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 16 (53%/30), starting new job
2025-04-02 19:27:06: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 16/1 (57%/30), started new job
2025-04-02 19:27:06: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 16/1 (57%/30), starting parameter set
2025-04-02 19:27:07: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 16/1 (57%/30), starting new job
2025-04-02 19:27:09: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 17/1 (60%/30), started new job
2025-04-02 19:27:09: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 17/1 (60%/30), starting parameter set
2025-04-02 19:27:10: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 17/1 (60%/30), starting new job
2025-04-02 19:27:12: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 17/2 (63%/30), started new job
2025-04-02 19:27:12: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 17/2 (63%/30), starting parameter set
2025-04-02 19:27:12: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 17/2 (63%/30), starting new job
2025-04-02 19:27:14: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 19/1 (67%/30), started new job
2025-04-02 19:27:14: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 19/1 (67%/30), starting parameter set
2025-04-02 19:27:15: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 19/1 (67%/30), starting new job
2025-04-02 19:27:17: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 19/2 (70%/30), started new job
2025-04-02 19:27:17: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 19/2 (70%/30), starting parameter set
2025-04-02 19:27:17: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 19/2 (70%/30), starting new job
2025-04-02 19:27:19: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), started new job
2025-04-02 19:27:19: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), starting parameter set
2025-04-02 19:27:20: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), starting new job
2025-04-02 19:27:22: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/2 (77%/30), started new job
2025-04-02 19:27:22: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/2 (77%/30), starting parameter set
2025-04-02 19:27:23: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 23 (77%/30), starting new job
2025-04-02 19:27:26: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), started new job
2025-04-02 19:27:26: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), starting parameter set
2025-04-02 19:27:27: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), starting new job
2025-04-02 19:27:29: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/2 (83%/30), started new job
2025-04-02 19:27:29: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/2 (83%/30), starting parameter set
2025-04-02 19:27:30: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 25 (83%/30), starting new job
2025-04-02 19:27:33: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 25/1 (87%/30), started new job
2025-04-02 19:27:33: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 25/1 (87%/30), starting parameter set
2025-04-02 19:27:34: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 25/1 (87%/30), starting new job
2025-04-02 19:27:36: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/1 (90%/30), started new job
2025-04-02 19:27:36: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/1 (90%/30), starting parameter set
2025-04-02 19:27:36: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/1 (90%/30), starting new job
2025-04-02 19:27:38: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/2 (93%/30), started new job
2025-04-02 19:27:38: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/2 (93%/30), starting parameter set
2025-04-02 19:27:39: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/2 (93%/30), starting new job
2025-04-02 19:27:41: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 28/1 (97%/30), started new job
2025-04-02 19:27:41: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 28/1 (97%/30), starting parameter set
2025-04-02 19:27:41: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 28/1 (97%/30), starting new job
2025-04-02 19:27:43: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 28/2 (100%/30), started new job
2025-04-02 19:28:23: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), finishing jobs after starting them, finished 0 jobs
2025-04-02 19:28:23: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), got 30, requested 30
2025-04-02 19:29:02: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), finishing previous jobs (30), finished 0 jobs
2025-04-02 19:29:03: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:29:46: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:29:46: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:30:28: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:30:28: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:31:13: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:31:13: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:31:53: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:31:54: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:32:38: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:32:39: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:33:19: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:33:19: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:34:04: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:34:04: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:34:45: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:34:45: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:35:30: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:35:30: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:36:10: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:36:11: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:36:55: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:36:55: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:37:36: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:37:36: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:38:21: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:38:21: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:39:02: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:39:02: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:39:47: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:39:47: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:40:27: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:40:28: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:41:12: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:41:13: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:41:54: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:41:54: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:42:38: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:42:39: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:43:19: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:43:20: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:44:04: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:44:04: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:44:45: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:44:45: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:45:30: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:45:30: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:46:10: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:46:11: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:46:55: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 19:46:55: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 19:47:01: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), job_failed
2025-04-02 19:47:04: Failed jobs: 31 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 29 (97%/30), job_failed
2025-04-02 19:47:39: Failed jobs: 32 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 28 (93%/30), waiting for jobs (30 left), finished 2 jobs
2025-04-02 19:47:40: Failed jobs: 32 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 28 (93%/30), waiting for old jobs to finish (28 left)
2025-04-02 19:47:45: Failed jobs: 32 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 28 (93%/30), job_failed
2025-04-02 19:47:48: Failed jobs: 33 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 27 (90%/30), job_failed
2025-04-02 19:48:23: Failed jobs: 34 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 26 (87%/30), waiting for jobs (28 left), finished 2 jobs
2025-04-02 19:48:23: Failed jobs: 34 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 26 (87%/30), waiting for old jobs to finish (26 left)
2025-04-02 19:48:29: Failed jobs: 34 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 26 (87%/30), job_failed
2025-04-02 19:48:32: Failed jobs: 35 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 25 (83%/30), job_failed
2025-04-02 19:48:35: Failed jobs: 36 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 24 (80%/30), job_failed
2025-04-02 19:48:38: Failed jobs: 37 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 23 (77%/30), job_failed
2025-04-02 19:48:41: Failed jobs: 38 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 22 (73%/30), job_failed
2025-04-02 19:48:46: Failed jobs: 39 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 21 (70%/30), job_failed
2025-04-02 19:48:53: Failed jobs: 40 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 20 (67%/30), job_failed
2025-04-02 19:49:15: Failed jobs: 41 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 19 (63%/30), waiting for jobs (26 left), finished 7 jobs
2025-04-02 19:49:15: Failed jobs: 41 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 19 (63%/30), waiting for old jobs to finish (19 left)
2025-04-02 19:49:21: Failed jobs: 41 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 19 (63%/30), job_failed
2025-04-02 19:49:26: Failed jobs: 42 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 18 (60%/30), job_failed
2025-04-02 19:49:31: Failed jobs: 43 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 17 (57%/30), job_failed
2025-04-02 19:49:36: Failed jobs: 44 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 16 (53%/30), job_failed
2025-04-02 19:49:40: Failed jobs: 45 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 15 (50%/30), job_failed
2025-04-02 19:49:44: Failed jobs: 46 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 14 (47%/30), job_failed
2025-04-02 19:50:01: Failed jobs: 47 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 13 (43%/30), waiting for jobs (19 left), finished 6 jobs
2025-04-02 19:50:02: Failed jobs: 47 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 13 (43%/30), waiting for old jobs to finish (13 left)
2025-04-02 19:50:07: Failed jobs: 47 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 13 (43%/30), job_failed
2025-04-02 19:50:12: Failed jobs: 48 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 12 (40%/30), job_failed
2025-04-02 19:50:17: Failed jobs: 49 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 11 (37%/30), job_failed
2025-04-02 19:50:30: Failed jobs: 50 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 10 (33%/30), waiting for jobs (13 left), finished 3 jobs
2025-04-02 19:50:30: Failed jobs: 50 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 10 (33%/30), waiting for old jobs to finish (10 left)
2025-04-02 19:50:36: Failed jobs: 50 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 10 (33%/30), job_failed
2025-04-02 19:50:41: Failed jobs: 51 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 9 (30%/30), job_failed
2025-04-02 19:50:47: Failed jobs: 52 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 8 (27%/30), job_failed
2025-04-02 19:51:00: Failed jobs: 53 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 7 (23%/30), waiting for jobs (10 left), finished 3 jobs
2025-04-02 19:51:00: Failed jobs: 53 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 7 (23%/30), waiting for old jobs to finish (7 left)
2025-04-02 19:51:08: Failed jobs: 53 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 7 (23%/30), job_failed
2025-04-02 19:51:16: Failed jobs: 54 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 6 (20%/30), waiting for jobs (7 left), finished 1 job
2025-04-02 19:51:17: Failed jobs: 54 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 6 (20%/30), waiting for old jobs to finish (6 left)
2025-04-02 19:51:27: Failed jobs: 54 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 6 (20%/30), job_failed
2025-04-02 19:51:31: Failed jobs: 55 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), job_failed
2025-04-02 19:51:36: Failed jobs: 56 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 4 (13%/30), waiting for jobs (6 left), finished 2 jobs
2025-04-02 19:51:36: Failed jobs: 56 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 4 (13%/30), waiting for old jobs to finish (4 left)
2025-04-02 19:51:46: Failed jobs: 56 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 4 (13%/30), waiting for jobs (4 left), finished 0 jobs
2025-04-02 19:51:46: Failed jobs: 56 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 4 (13%/30), waiting for old jobs to finish (4 left)
2025-04-02 19:51:56: Failed jobs: 56 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 4 (13%/30), job_failed
2025-04-02 19:52:02: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (4 left), finished 1 job
2025-04-02 19:52:03: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:52:12: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:52:12: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:52:21: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:52:21: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:52:32: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:52:32: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:52:43: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:52:44: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:52:52: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:52:52: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:53:02: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:53:02: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:53:14: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:53:14: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:53:23: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:53:23: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:53:32: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:53:32: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:53:44: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:53:44: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:53:54: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:53:54: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:54:03: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:54:03: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:54:14: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:54:14: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:54:25: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:54:25: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:54:34: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:54:34: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:54:44: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:54:44: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:54:56: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:54:56: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:55:05: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:55:05: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:55:14: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed 3 (10%/30), waiting for jobs (3 left), finished 0 jobs
2025-04-02 19:55:15: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed 3 (10%/30), waiting for old jobs to finish (3 left)
2025-04-02 19:55:36: Failed jobs: 57 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed 3 (10%/30), job_failed
2025-04-02 19:55:54: Failed jobs: 58 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed 2 (7%/30), job_failed
2025-04-02 19:56:13: Failed jobs: 59 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed 1 (3%/30), job_failed
2025-04-02 19:56:17: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, waiting for jobs (3 left), finished 3 jobs
2025-04-02 19:56:18: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, finished 0 jobs
2025-04-02 19:56:18: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, trying to get 30 next steps (current done: 0, max: 500)
2025-04-02 19:56:19: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, finishing jobs (_get_next_trials), finished 0 jobs
2025-04-02 19:56:19: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #1/30
2025-04-02 19:56:19: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #2/30 | ETA: 12s
2025-04-02 19:56:20: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #3/30 | ETA: 12s
2025-04-02 19:56:20: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #4/30 | ETA: 11s
2025-04-02 19:56:21: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #5/30 | ETA: 11s
2025-04-02 19:56:22: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #6/30 | ETA: 12s
2025-04-02 19:56:23: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #7/30 | ETA: 14s
2025-04-02 19:56:23: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #8/30 | ETA: 14s
2025-04-02 19:56:24: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #9/30 | ETA: 14s
2025-04-02 19:56:25: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #10/30 | ETA: 13s
2025-04-02 19:56:26: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #11/30 | ETA: 13s
2025-04-02 19:56:27: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #12/30 | ETA: 13s
2025-04-02 19:56:28: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #13/30 | ETA: 12s
2025-04-02 19:56:29: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #14/30 | ETA: 11s
2025-04-02 19:56:30: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #15/30 | ETA: 11s
2025-04-02 19:56:30: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #16/30 | ETA: 10s
2025-04-02 19:56:31: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #17/30 | ETA: 10s
2025-04-02 19:56:32: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #18/30 | ETA: 9s
2025-04-02 19:56:33: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #19/30 | ETA: 8s
2025-04-02 19:56:34: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #20/30 | ETA: 8s
2025-04-02 19:56:35: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #21/30 | ETA: 7s
2025-04-02 19:56:36: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #22/30 | ETA: 6s
2025-04-02 19:56:37: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #23/30 | ETA: 6s
2025-04-02 19:56:38: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #24/30 | ETA: 5s
2025-04-02 19:56:39: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #25/30 | ETA: 4s
2025-04-02 19:56:40: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #26/30 | ETA: 3s
2025-04-02 19:56:41: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #27/30 | ETA: 3s
2025-04-02 19:56:41: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #28/30 | ETA: 2s
2025-04-02 19:56:42: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #29/30 | ETA: 1s
2025-04-02 19:56:43: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #30/30 | ETA: 0s
2025-04-02 19:56:44: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, starting parameter set
2025-04-02 19:56:44: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, starting new job
2025-04-02 19:56:46: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, unknown 1 (3%/30), started new job
2025-04-02 19:56:46: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, unknown 1 (3%/30), starting parameter set
2025-04-02 19:56:47: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, unknown 1 (3%/30), starting new job
2025-04-02 19:56:49: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), started new job
2025-04-02 19:56:49: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), starting parameter set
2025-04-02 19:56:49: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), starting new job
2025-04-02 19:56:51: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 1/2 (10%/30), started new job
2025-04-02 19:56:51: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 1/2 (10%/30), starting parameter set
2025-04-02 19:56:52: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 1/2 (10%/30), starting new job
2025-04-02 19:56:54: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 3/1 (13%/30), started new job
2025-04-02 19:56:54: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 3/1 (13%/30), starting parameter set
2025-04-02 19:56:54: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 3/1 (13%/30), starting new job
2025-04-02 19:56:56: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 3/2 (17%/30), started new job
2025-04-02 19:56:56: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 3/2 (17%/30), starting parameter set
2025-04-02 19:56:56: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 3/2 (17%/30), starting new job
2025-04-02 19:56:59: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 5/1 (20%/30), started new job
2025-04-02 19:56:59: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 5/1 (20%/30), starting parameter set
2025-04-02 19:56:59: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 5/1 (20%/30), starting new job
2025-04-02 19:57:01: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 5/2 (23%/30), started new job
2025-04-02 19:57:01: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 5/2 (23%/30), starting parameter set
2025-04-02 19:57:02: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 7 (23%/30), starting new job
2025-04-02 19:57:05: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 7/1 (27%/30), started new job
2025-04-02 19:57:05: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 7/1 (27%/30), starting parameter set
2025-04-02 19:57:06: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 7/1 (27%/30), starting new job
2025-04-02 19:57:08: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 8/1 (30%/30), started new job
2025-04-02 19:57:08: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 8/1 (30%/30), starting parameter set
2025-04-02 19:57:10: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 8/1 (30%/30), starting new job
2025-04-02 19:57:12: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 8/2 (33%/30), started new job
2025-04-02 19:57:12: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 8/2 (33%/30), starting parameter set
2025-04-02 19:57:13: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 10 (33%/30), starting new job
2025-04-02 19:57:16: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 10/1 (37%/30), started new job
2025-04-02 19:57:16: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 10/1 (37%/30), starting parameter set
2025-04-02 19:57:17: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 11 (37%/30), starting new job
2025-04-02 19:57:19: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 11/1 (40%/30), started new job
2025-04-02 19:57:19: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 11/1 (40%/30), starting parameter set
2025-04-02 19:57:20: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 11/1 (40%/30), starting new job
2025-04-02 19:57:22: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 11/2 (43%/30), started new job
2025-04-02 19:57:22: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 11/2 (43%/30), starting parameter set
2025-04-02 19:57:22: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 11/2 (43%/30), starting new job
2025-04-02 19:57:24: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), started new job
2025-04-02 19:57:24: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), starting parameter set
2025-04-02 19:57:25: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), starting new job
2025-04-02 19:57:28: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/2 (50%/30), started new job
2025-04-02 19:57:28: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/2 (50%/30), starting parameter set
2025-04-02 19:57:28: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/2 (50%/30), starting new job
2025-04-02 19:57:30: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 14/2 (53%/30), started new job
2025-04-02 19:57:30: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 14/2 (53%/30), starting parameter set
2025-04-02 19:57:31: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 14/2 (53%/30), starting new job
2025-04-02 19:57:34: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 16/1 (57%/30), started new job
2025-04-02 19:57:34: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 16/1 (57%/30), starting parameter set
2025-04-02 19:57:34: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 16/1 (57%/30), starting new job
2025-04-02 19:57:36: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 16/2 (60%/30), started new job
2025-04-02 19:57:36: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 16/2 (60%/30), starting parameter set
2025-04-02 19:57:37: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 16/2 (60%/30), starting new job
2025-04-02 19:57:39: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 18/1 (63%/30), started new job
2025-04-02 19:57:39: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 18/1 (63%/30), starting parameter set
2025-04-02 19:57:40: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 18/1 (63%/30), starting new job
2025-04-02 19:57:42: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 18/2 (67%/30), started new job
2025-04-02 19:57:42: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 18/2 (67%/30), starting parameter set
2025-04-02 19:57:43: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 20 (67%/30), starting new job
2025-04-02 19:57:46: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 20/1 (70%/30), started new job
2025-04-02 19:57:46: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 20/1 (70%/30), starting parameter set
2025-04-02 19:57:47: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 20/1 (70%/30), starting new job
2025-04-02 19:57:49: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), started new job
2025-04-02 19:57:49: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), starting parameter set
2025-04-02 19:57:50: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), starting new job
2025-04-02 19:57:53: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/2 (77%/30), started new job
2025-04-02 19:57:53: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/2 (77%/30), starting parameter set
2025-04-02 19:57:54: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 23 (77%/30), starting new job
2025-04-02 19:57:56: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), started new job
2025-04-02 19:57:56: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), starting parameter set
2025-04-02 19:57:57: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), starting new job
2025-04-02 19:57:59: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/2 (83%/30), started new job
2025-04-02 19:57:59: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/2 (83%/30), starting parameter set
2025-04-02 19:57:59: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/2 (83%/30), starting new job
2025-04-02 19:58:01: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 24/2 (87%/30), started new job
2025-04-02 19:58:01: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 24/2 (87%/30), starting parameter set
2025-04-02 19:58:01: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 24/2 (87%/30), starting new job
2025-04-02 19:58:03: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/1 (90%/30), started new job
2025-04-02 19:58:04: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/1 (90%/30), starting parameter set
2025-04-02 19:58:04: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/1 (90%/30), starting new job
2025-04-02 19:58:06: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/2 (93%/30), started new job
2025-04-02 19:58:06: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/2 (93%/30), starting parameter set
2025-04-02 19:58:06: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/2 (93%/30), starting new job
2025-04-02 19:58:08: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/3 (97%/30), started new job
2025-04-02 19:58:09: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/3 (97%/30), starting parameter set
2025-04-02 19:58:09: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 26/3 (97%/30), starting new job
2025-04-02 19:58:11: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 28/2 (100%/30), started new job
2025-04-02 19:59:23: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), finishing jobs after starting them, finished 0 jobs
2025-04-02 19:59:23: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), got 30, requested 30
2025-04-02 20:00:34: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), finishing previous jobs (30), finished 0 jobs
2025-04-02 20:00:35: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:01:41: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:01:42: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:02:55: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:02:55: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:04:05: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:04:06: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:05:20: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:05:20: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:06:35: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:06:35: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:07:40: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:07:41: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:08:54: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:08:55: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:10:08: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:10:08: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:11:14: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:11:14: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:12:30: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:12:30: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:13:36: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:13:36: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:14:52: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:14:52: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:16:03: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:16:04: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:17:10: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:17:10: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:18:25: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:18:26: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:19:41: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:19:41: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:20:58: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:20:58: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:22:12: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:22:12: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:23:28: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:23:28: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:24:43: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:24:43: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:25:48: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:25:49: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:27:04: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:27:05: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:28:18: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:28:19: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:29:24: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:29:24: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:30:39: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:30:39: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:31:55: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:31:55: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:33:10: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:33:10: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:34:26: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:34:26: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 20:35:42: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 20:35:42: Failed jobs: 60 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_progressbar_log")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_progressbar_log", "progressbar")'> Download &raquo;progressbar&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>BNDM_PokerHand_HoeffdingTreeClassifier_ACCURACY-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;1&#039;, &#039;5000&#039;, &#039;int&#039;], [&#039;n_samples&#039;, &#039;range&#039;, &#039;1&#039;, &#039;5000&#039;, &#039;int&#039;], [&#039;const&#039;, &#039;range&#039;, &#039;0.001&#039;, &#039;10.0&#039;, &#039;float&#039;],         </td></tr><tr><td></td><td>[&#039;max_depth&#039;, &#039;range&#039;, &#039;1&#039;, &#039;20&#039;, &#039;int&#039;], [&#039;threshold&#039;, &#039;range&#039;, &#039;0.001&#039;, &#039;0.999&#039;, &#039;float&#039;]]                                                             </td></tr><tr><td> continue_previous_job</td><td>None                                                                                                                                                     </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                                                     </td></tr><tr><td> run_dir</td><td>runs                                                                                                                                                     </td></tr><tr><td> seed</td><td>None                                                                                                                                                     </td></tr><tr><td> decimalrounding</td><td>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>10                                                                                                                                                       </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                                                    </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                                                     </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                                                    </td></tr><tr><td> live_share</td><td>True                                                                                                                                                     </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> load_data_from_existing_jobs</td><td>[]                                                                                                                                                       </td></tr><tr><td> num_parallel_jobs</td><td>30                                                                                                                                                       </td></tr><tr><td> worker_timeout</td><td>60                                                                                                                                                       </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                                                    </td></tr><tr><td> time</td><td>1440                                                                                                                                                     </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">1743614326.1482422,30,0,0
1743614326.2736368,30,0,0
1743614326.363429,30,0,0
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1743614327.6690931,30,0,0
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1743614344.8892004,30,1,3
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1743614357.2546756,30,5,17
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1743614364.3543434,30,8,27
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1743614401.2516115,30,21,70
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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>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1743614319,573.89453125,21.7
1743614326,574.15234375,21.5
1743614326,574.15234375,21.1
1743614326,574.15234375,26.0
1743614326,574.15234375,22.2
1743614326,574.15234375,22.0
1743614326,574.15234375,22.0
1743614466,588.875,22.1
1743614466,588.875,19.2
1743614467,588.875,22.5
1743614467,588.875,22.0
1743614943,595.25390625,21.7
1743614943,595.25390625,22.8
1743614943,595.25390625,22.3
1743614943,595.25390625,15.4
1743616835,605.45703125,25.9
1743616835,605.45703125,35.0
1743616835,605.45703125,27.2
1743616835,605.45703125,38.2
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
			
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