Experiment overview:

Best RUNTIME, min (total: 1, failed: 59):

Experiment parameters:

Number of evaluations:

Result names and types:

                                                              Pareto Frontier Results for ACCURACY/RUNTIME:                                                              
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ recent_samples_size ┃ epochs ┃ sub_window_num ┃  n   ┃  k  ┃ eps_small ┃ eps_big ┃     temperature     ┃ lamb ┃     percentile     ┃   ACCURACY    ┃     RUNTIME      ┃
┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━╇━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│        4385         │  293   │      498       │ 1106 │ 475 │    66     │   399   │ 0.17638392612803727 │ 417  │ 0.1837478404454887 │ 0.710 ± 1.000 │ 2013.000 ± 1.000 │
└─────────────────────┴────────┴────────────────┴──────┴─────┴───────────┴─────────┴─────────────────────┴──────┴────────────────────┴───────────────┴──────────────────┘

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trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,epochs,sub_window_num,n,k,eps_small,eps_big,temperature,lamb,percentile
0,0_0,FAILED,Sobol,GenerationStep_0,,,4282,454,192,547,246,81,215,0.397879131972789790161471046304,248,0.514095430850982637593915569596
1,1_0,FAILED,Sobol,GenerationStep_0,,,1924,76,465,4551,437,438,342,0.964544389641843746829863448511,314,0.331200033994391573877180690033
2,2_0,FAILED,Sobol,GenerationStep_0,,,110,372,82,2190,272,362,99,0.511645010413601997179000591132,488,0.205502444949001078500216976863
3,3_0,FAILED,Sobol,GenerationStep_0,,,3676,220,324,2562,80,156,472,0.082126992403529580633048112759,78,0.887344786373898353204481281864
4,4_0,FAILED,Sobol,GenerationStep_0,,,3050,255,420,3454,14,59,2,0.701993366861715872850879804901,422,0.406577468300238276111002733160
5,5_0,FAILED,Sobol,GenerationStep_0,,,736,151,177,1326,323,455,383,0.135268618605099616436504561534,19,0.746210202604532191195119139593
6,6_0,FAILED,Sobol,GenerationStep_0,,,1303,415,309,4278,470,278,187,0.344676657514646656021994886032,158,0.873786341702565527711499271390
7,7_0,FAILED,Sobol,GenerationStep_0,,,4904,53,36,783,162,236,306,0.774255925371311604088475633034,280,0.035344196874648334261159732250
8,8_0,FAILED,Sobol,GenerationStep_0,,,4593,339,268,1627,404,172,58,0.669017149659804966077558674442,395,0.954246513690799491591576497740
9,9_0,FAILED,Sobol,GenerationStep_0,,,1614,195,10,3132,213,316,434,0.233704207932576540907021467319,47,0.140063583461567747745490919442
10,10_0,FAILED,Sobol,GenerationStep_0,,,1047,491,376,1105,112,391,131,0.315833427946083267201515809575,154,0.263864061139523986554422663176
11,11_0,FAILED,Sobol,GenerationStep_0,,,2739,106,150,3977,304,97,254,0.861250649793073530524623038218,284,0.578993932219222240398437406839
12,12_0,FAILED,Sobol,GenerationStep_0,,,3360,390,125,4852,353,189,220,0.496495300489477819905204114548,190,0.122118325864896182242347322244
13,13_0,FAILED,Sobol,GenerationStep_0,,,425,19,352,223,44,294,351,0.931869488378986754462118824449,373,0.781650909382849978790375189419
14,14_0,FAILED,Sobol,GenerationStep_0,,,2240,284,233,2885,132,470,94,0.598458203251473586092856749019,453,0.659732788825407645560972014209
15,15_0,FAILED,Sobol,GenerationStep_0,,,3967,188,491,1890,440,12,463,0.052981500027701258770385095431,113,0.499390794783830638259303213999
16,16_0,FAILED,Sobol,GenerationStep_0,,,3789,299,17,4069,68,300,313,0.566828148953616661742671567481,61,0.709814831731841011652761608275
17,17_0,FAILED,Sobol,GenerationStep_0,,,2350,169,259,689,251,219,194,0.022799058009870351582115688416,378,0.386933662649244058950870339686
18,18_0,FAILED,Sobol,GenerationStep_0,,,613,404,127,3665,418,19,500,0.464382321298122402453145696199,298,0.009669075550511479349991006416
19,19_0,FAILED,Sobol,GenerationStep_0,,,3260,1,401,1418,234,500,119,0.902169941780157413901974905457,138,0.831725129954516861907620750571
20,20_0,FAILED,Sobol,GenerationStep_0,,,2634,475,374,2411,172,341,401,0.285651868321001534134495614126,356,0.368509108591824785516877227565
21,21_0,FAILED,Sobol,GenerationStep_0,,,1239,118,100,2664,489,174,28,0.829619713102467404297613029485,204,0.536723973995074654652626122697
22,22_0,FAILED,Sobol,GenerationStep_0,,,1729,323,484,328,343,122,287,0.639318485453724827394239582645,97,0.911984377801418277798006783996
23,23_0,FAILED,Sobol,GenerationStep_0,,,4410,208,242,4448,27,392,160,0.201590346348471949333713837405,467,0.244700749093666680700209781207
24,24_0,FAILED,Sobol,GenerationStep_0,,,4726,434,441,2989,285,453,408,0.376307828159071489082521111413,329,0.760362482013180795981099890923
25,25_0,FAILED,Sobol,GenerationStep_0,,,1413,38,214,2109,102,34,39,0.804437243673950419520224386360,232,0.086393026821315291319258733438
26,26_0,FAILED,Sobol,GenerationStep_0,,,924,273,332,4750,200,235,280,0.734107462399639199013279267092,93,0.457634120581671577365767689116
27,27_0,FAILED,Sobol,GenerationStep_0,,,2949,136,75,3,384,253,149,0.164967041488736865240127826837,471,0.632778461094945621212559672131
28,28_0,FAILED,Sobol,GenerationStep_0,,,3571,359,169,1013,461,408,371,0.541827214793302092132876168762,3,0.162265699684619901788096285600
29,29_0,FAILED,Sobol,GenerationStep_0,,,302,237,426,3766,144,75,248,0.113757276970893134171447513836,437,0.992956561380997304588902352407
30,30_0,FAILED,Sobol,GenerationStep_0,,,2040,441,61,1720,56,126,442,0.427578428038395963461937299144,263,0.619715091396123129996453826607
31,31_0,FAILED,Sobol,GenerationStep_0,,,4099,93,287,3341,372,356,66,0.996657599102705682447833623883,173,0.287955466395243997457242812743
32,32_0,FAILED,Sobol,GenerationStep_0,,,4142,364,385,4518,169,262,488,0.794092265429906518647840130143,385,0.551346494136378151296185023966
33,33_0,FAILED,Sobol,GenerationStep_0,,,2143,228,143,397,478,226,115,0.355880978530272840121284616544,53,0.351936388190835724998350997339
34,34_0,FAILED,Sobol,GenerationStep_0,,,209,461,277,2746,317,43,325,0.192698382507078352920970587547,133,0.230085843088105312936875179730
35,35_0,COMPLETED,Sobol,GenerationStep_0,0.709999999999999964472863211995,2013.000000000000000000000000000000,3499,69,4,2493,8,445,198,0.737148899806663426836905728123,308,0.928549484066665153925157483172
36,36_0,FAILED,Sobol,GenerationStep_0,,,2875,408,224,1492,87,349,291,0.124176728057675059280207108259,215,0.401555260766297605901087308666
37,37_0,FAILED,Sobol,GenerationStep_0,,,832,60,497,3739,278,134,172,0.562447492649778779671976280952,352,0.693241189306601834907439751987
38,38_0,FAILED,Sobol,GenerationStep_0,,,1514,263,116,776,429,68,398,0.968853564764373009765563438123,459,0.817111145973205554859930543898
39,39_0,FAILED,Sobol,GenerationStep_0,,,4771,143,358,4156,238,415,16,0.424341797618195404329100028917,103,0.026235103840008378028869628906
40,40_0,FAILED,Sobol,GenerationStep_0,,,4455,499,87,3437,449,492,269,0.025554887542501091013402714225,226,0.976393507363274681942755250930
41,41_0,FAILED,Sobol,GenerationStep_0,,,1830,98,313,1817,141,28,145,0.595116734809242209358615127712,340,0.176882419995963574566033571500
42,42_0,FAILED,Sobol,GenerationStep_0,,,1148,331,197,3831,36,210,420,0.882030940087512149716530984733,479,0.304526134548708804494765445270
43,43_0,FAILED,Sobol,GenerationStep_0,,,2559,203,455,1078,345,309,43,0.453477858155034496689950174186,84,0.605090756949037356093867856544
44,44_0,FAILED,Sobol,GenerationStep_0,,,3188,292,304,95,312,399,446,0.827062823528423862740055483300,428,0.069828991293907169413124336188
45,45_0,FAILED,Sobol,GenerationStep_0,,,519,180,46,4841,121,115,77,0.257439730099402352969661933457,10,0.774978220814839025010201112309
46,46_0,FAILED,Sobol,GenerationStep_0,,,2454,382,414,2169,204,181,367,0.221532180236652498361848984132,184,0.649350110758096010776796447317
47,47_0,FAILED,Sobol,GenerationStep_0,,,3831,27,188,3049,395,334,236,0.650144743545912229265582027438,257,0.443010767644271274967593399197
48,48_0,FAILED,Sobol,GenerationStep_0,,,4039,397,338,879,19,106,102,0.252196646333672114259627505817,323,0.731586708389222573067911525868
49,49_0,FAILED,Sobol,GenerationStep_0,,,2334,8,64,4375,335,382,484,0.681292766395956261860078484460,241,0.423149199755862348570900621780
50,50_0,FAILED,Sobol,GenerationStep_0,,,321,306,446,1390,498,325,211,0.856278573893941907790861023386,67,0.049960076954215767996991814925
51,51_0,FAILED,Sobol,GenerationStep_0,,,3317,161,204,3519,182,163,330,0.290036498155444855129303505237,494,0.857222224382683584131825682562
52,52_0,FAILED,Sobol,GenerationStep_0,,,2694,315,55,2654,225,6,175,0.913178080544806980434202614560,25,0.316575617754831895034328681504
53,53_0,FAILED,Sobol,GenerationStep_0,,,945,216,297,2282,409,477,302,0.484143206644803314464553523067,411,0.530666244000196463126428625401
54,54_0,FAILED,Sobol,GenerationStep_0,,,1706,482,163,4611,259,287,14,0.058150773205794398235113362716,272,0.901961588477715903167108990601
55,55_0,FAILED,Sobol,GenerationStep_0,,,4668,111,437,606,76,196,387,0.624333367567509456286245494994,167,0.188939249653369195636187782839
56,56_0,FAILED,Sobol,GenerationStep_0,,,4978,281,136,1960,365,148,135,0.938188446544110821179174308782,36,0.798216841008514199629075847042
57,57_0,FAILED,Sobol,GenerationStep_0,,,1395,128,394,2955,49,372,266,0.393194419522769733621458954076,399,0.107504498032853001987518837268
58,58_0,FAILED,Sobol,GenerationStep_0,,,634,426,26,305,152,429,54,0.094960325568914413785215344888,292,0.482817249022424233029227025327
59,59_0,FAILED,Sobol,GenerationStep_0,,,3004,46,253,4933,468,90,423,0.529851369348354639399190091353,148,0.674354230793193010207176030235
60,60_0,RUNNING,Sobol,GenerationStep_0,,,3633,449,475,4052,377,243,82,0.161550118334591402691202688402,366,0.156628533577546469324204281293
61,61_0,RUNNING,Sobol,GenerationStep_0,,,6,85,248,1180,193,271,459,0.706484667663462406750340960571,198,0.939631704349070839832336332620
62,62_0,RUNNING,Sobol,GenerationStep_0,,,2019,352,365,3218,108,462,231,0.761495256051421209875229578756,118,0.562421367967501306672772898310
63,63_0,RUNNING,Sobol,GenerationStep_0,,,4355,245,107,1714,292,53,355,0.326665462118573501903995293105,443,0.278486484616994878216189590603
64,64_0,RUNNING,Sobol,GenerationStep_0,,,4322,259,347,2898,483,194,282,0.300914265694096683123603952481,311,0.596767446998506811972617924766
65,65_0,RUNNING,Sobol,GenerationStep_0,,,1973,146,121,2019,167,293,163,0.845425325452350051591565716080,128,0.312824728300794940860640735991
66,66_0,RUNNING,Sobol,GenerationStep_0,,,77,411,487,4992,1,475,406,0.685875724593177471533067546261,48,0.185121736511588086404600517199
67,67_0,RUNNING,Sobol,GenerationStep_0,,,3640,57,229,245,318,12,26,0.247604252613149583561735767034,387,0.968117993960157074972983082262
68,68_0,RUNNING,Sobol,GenerationStep_0,,,3016,466,14,1241,277,165,496,0.613476405339315578046921473288,106,0.450399211926385767412739369320
69,69_0,RUNNING,Sobol,GenerationStep_0,,,701,64,272,3994,93,319,122,0.069024709059856831361301487959,454,0.641929276656359459884981788491
70,70_0,RUNNING,Sobol,GenerationStep_0,,,1344,360,154,1654,241,384,319,0.479554644608870150879198490657,347,0.767749435441568484073115996580
71,71_0,RUNNING,Sobol,GenerationStep_0,,,4951,233,380,3275,424,100,191,0.917764752528630212147220390762,218,0.077029253400862224276934853151
72,72_0,RUNNING,Sobol,GenerationStep_0,,,4636,378,174,4315,135,59,440,0.526685136000625830909882552078,79,0.935814191207289702845173451351
73,73_0,RUNNING,Sobol,GenerationStep_0,,,1658,32,416,936,451,460,70,0.098071865303441876915435670981,482,0.222784939059987668885653988582
74,74_0,RUNNING,Sobol,GenerationStep_0,,,1015,296,32,3579,351,277,374,0.380900052401237199095618279898,343,0.344587687615305171551227658711
75,75_0,RUNNING,Sobol,GenerationStep_0,,,2702,176,305,1333,34,241,243,0.950522438442334527408661415393,222,0.558670478513464296987933721539
76,76_0,RUNNING,Sobol,GenerationStep_0,,,3330,335,469,2341,123,84,277,0.329780833537690332146752325571,253,0.018031709091737867234339631750
77,77_0,RUNNING,Sobol,GenerationStep_0,,,387,199,196,2594,307,431,155,0.758332736490294312403648291365,187,0.825286017455160614275655461824
78,78_0,RUNNING,Sobol,GenerationStep_0,,,2282,496,327,549,394,366,411,0.718814945775084201962101815298,13,0.701604242963716373537863546517
79,79_0,RUNNING,Sobol,GenerationStep_0,,,4013,101,85,4670,210,150,35,0.149251919528469445541674076594,423,0.393159817289561008823994825434
80,80_0,RUNNING,Sobol,GenerationStep_0,,,3898,479,423,1873,329,413,183,0.748030377447605143714781661402,498,0.681735313752666161057902627363
81,81_0,RUNNING,Sobol,GenerationStep_0,,,2466,114,165,3378,21,74,311,0.181848962065763786188909989505,64,0.475403835728764545542901487352
82,82_0,RUNNING,Sobol,GenerationStep_0,,,491,318,283,1020,187,132,4,0.360445010416209687953426055174,238,0.100268321594223386306055090245
83,83_0,RUNNING,Sobol,GenerationStep_0,,,3137,212,56,3892,496,355,378,0.789481063296087137715062453935,328,0.805424434695392821303983055259
84,84_0,RUNNING,Sobol,GenerationStep_0,,,2513,311,218,4781,412,447,96,0.413496090963482887392643760904,172,0.270155783601105203839409796274
85,85_0,RUNNING,Sobol,GenerationStep_0,,,1115,157,445,153,220,37,476,0.979738874089904121511551693402,270,0.570727293299511106994259534986
86,86_0,RUNNING,Sobol,GenerationStep_0,,,1837,392,78,3107,75,228,218,0.557832458831369892848783820227,408,0.947863659542053982320908289694
87,87_0,RUNNING,Sobol,GenerationStep_0,,,4527,13,336,2112,266,256,336,0.128737046157009898950107640303,29,0.148360440982505670248770002217
88,88_0,RUNNING,Sobol,GenerationStep_0,,,4836,348,96,456,55,340,89,0.450337971323169772297489998891,145,0.849011438569054033287386573647

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Download »job_infos.csv« as file

start_time,end_time,run_time,program_string,recent_samples_size,epochs,sub_window_num,n,k,eps_small,eps_big,temperature,lamb,percentile,ACCURACY,RUNTIME,exit_code,signal,hostname,OO_Info_SLURM_JOB_ID
1743196112,1743196189,77,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 4410 epochs 208 sub_window_num 242 n 4448 k 27 eps_small 392 eps_big 160 temperature 0.20159034634847195 lamb 467 percentile 0.24470074909366668,4410,208,242,4448,27,392,160,0.20159034634847195,467,0.24470074909366668,None,None,1,None,i7009,3669972
start_time,end_time,run_time,program_string,recent_samples_size,epochs,sub_window_num,n,k,eps_small,eps_big,temperature,lamb,percentile,ACCURACY,RUNTIME,exit_code,signal,hostname,OO_Info_SLURM_JOB_ID
1743196112,1743196189,77,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 2350 epochs 169 sub_window_num 259 n 689 k 251 eps_small 219 eps_big 194 temperature 0.02279905800987035 lamb 378 percentile 0.38693366264924406,2350,169,259,689,251,219,194,0.02279905800987035,378,0.38693366264924406,None,None,1,None,i7009,3669965
1743196087,1743196195,108,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 736 epochs 151 sub_window_num 177 n 1326 k 323 eps_small 455 eps_big 383 temperature 0.13526861860509962 lamb 19 percentile 0.7462102026045322,736,151,177,1326,323,455,383,0.13526861860509962,19,0.7462102026045322,None,None,1,None,i7010,3669953
1743196087,1743196195,108,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 1614 epochs 195 sub_window_num 10 n 3132 k 213 eps_small 316 eps_big 434 temperature 0.23370420793257654 lamb 47 percentile 0.14006358346156775,1614,195,10,3132,213,316,434,0.23370420793257654,47,0.14006358346156775,None,None,1,None,i7010,3669957
1743196112,1743196195,83,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 3571 epochs 359 sub_window_num 169 n 1013 k 461 eps_small 408 eps_big 371 temperature 0.5418272147933021 lamb 3 percentile 0.1622656996846199,3571,359,169,1013,461,408,371,0.5418272147933021,3,0.1622656996846199,None,None,1,None,i7009,3669977
1743196112,1743196195,83,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 1729 epochs 323 sub_window_num 484 n 328 k 343 eps_small 122 eps_big 287 temperature 0.6393184854537248 lamb 97 percentile 0.9119843778014183,1729,323,484,328,343,122,287,0.6393184854537248,97,0.9119843778014183,None,None,1,None,i7009,3669971
1743196112,1743196208,96,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 1239 epochs 118 sub_window_num 100 n 2664 k 489 eps_small 174 eps_big 28 temperature 0.8296197131024674 lamb 204 percentile 0.5367239739950747,1239,118,100,2664,489,174,28,0.8296197131024674,204,0.5367239739950747,None,None,1,None,i7009,3669969
1743196112,1743196214,102,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 4726 epochs 434 sub_window_num 441 n 2989 k 285 eps_small 453 eps_big 408 temperature 0.3763078281590715 lamb 329 percentile 0.7603624820131808,4726,434,441,2989,285,453,408,0.3763078281590715,329,0.7603624820131808,None,None,1,None,i7009,3669973
1743196087,1743196227,140,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 3360 epochs 390 sub_window_num 125 n 4852 k 353 eps_small 189 eps_big 220 temperature 0.4964953004894778 lamb 190 percentile 0.12211832586489618,3360,390,125,4852,353,189,220,0.4964953004894778,190,0.12211832586489618,None,None,1,None,i7010,3669960
1743214451,1743214477,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 209 epochs 461 sub_window_num 277 n 2746 k 317 eps_small 43 eps_big 325 temperature 0.19269838250707835 lamb 133 percentile 0.2300858430881053,209,461,277,2746,317,43,325,0.19269838250707835,133,0.2300858430881053,None,None,1,None,i7089,3678162
1743214451,1743214484,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 4142 epochs 364 sub_window_num 385 n 4518 k 169 eps_small 262 eps_big 488 temperature 0.7940922654299065 lamb 385 percentile 0.5513464941363782,4142,364,385,4518,169,262,488,0.7940922654299065,385,0.5513464941363782,None,None,1,None,i7162,3678157
1743214471,1743214491,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 2875 epochs 408 sub_window_num 224 n 1492 k 87 eps_small 349 eps_big 291 temperature 0.12417672805767506 lamb 215 percentile 0.4015552607662976,2875,408,224,1492,87,349,291,0.12417672805767506,215,0.4015552607662976,None,None,1,None,i7169,3678168
1743214472,1743214491,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 1514 epochs 263 sub_window_num 116 n 776 k 429 eps_small 68 eps_big 398 temperature 0.968853564764373 lamb 459 percentile 0.8171111459732056,1514,263,116,776,429,68,398,0.968853564764373,459,0.8171111459732056,None,None,1,None,i7080,3678174
1743214476,1743214502,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 1830 epochs 98 sub_window_num 313 n 1817 k 141 eps_small 28 eps_big 145 temperature 0.5951167348092422 lamb 340 percentile 0.17688241999596357,1830,98,313,1817,141,28,145,0.5951167348092422,340,0.17688241999596357,None,None,1,None,i7023,3678180
1743214476,1743214502,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 4455 epochs 499 sub_window_num 87 n 3437 k 449 eps_small 492 eps_big 269 temperature 0.02555488754250109 lamb 226 percentile 0.9763935073632747,4455,499,87,3437,449,492,269,0.02555488754250109,226,0.9763935073632747,None,None,1,None,i7024,3678178
1743214491,1743214511,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 2559 epochs 203 sub_window_num 455 n 1078 k 345 eps_small 309 eps_big 43 temperature 0.4534778581550345 lamb 84 percentile 0.6050907569490374,2559,203,455,1078,345,309,43,0.4534778581550345,84,0.6050907569490374,None,None,1,None,i7162,3678186
1743214491,1743214511,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 519 epochs 180 sub_window_num 46 n 4841 k 121 eps_small 115 eps_big 77 temperature 0.25743973009940235 lamb 10 percentile 0.774978220814839,519,180,46,4841,121,115,77,0.25743973009940235,10,0.774978220814839,None,None,1,None,i7095,3678191
1743214506,1743214519,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 4039 epochs 397 sub_window_num 338 n 879 k 19 eps_small 106 eps_big 102 temperature 0.2521966463336721 lamb 323 percentile 0.7315867083892226,4039,397,338,879,19,106,102,0.2521966463336721,323,0.7315867083892226,None,None,1,None,i7029,3678200
1743214506,1743214526,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 2334 epochs 8 sub_window_num 64 n 4375 k 335 eps_small 382 eps_big 484 temperature 0.6812927663959563 lamb 241 percentile 0.42314919975586235,2334,8,64,4375,335,382,484,0.6812927663959563,241,0.42314919975586235,None,None,1,None,i7017,3678203
1743214511,1743214531,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 2694 epochs 315 sub_window_num 55 n 2654 k 225 eps_small 6 eps_big 175 temperature 0.913178080544807 lamb 25 percentile 0.3165756177548319,2694,315,55,2654,225,6,175,0.913178080544807,25,0.3165756177548319,None,None,1,None,i7018,3678210
1743214507,1743214533,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 3831 epochs 27 sub_window_num 188 n 3049 k 395 eps_small 334 eps_big 236 temperature 0.6501447435459122 lamb 257 percentile 0.4430107676442713,3831,27,188,3049,395,334,236,0.6501447435459122,257,0.4430107676442713,None,None,1,None,i7169,3678197
1743214513,1743214539,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 1706 epochs 482 sub_window_num 163 n 4611 k 259 eps_small 287 eps_big 14 temperature 0.0581507732057944 lamb 272 percentile 0.9019615884777159,1706,482,163,4611,259,287,14,0.0581507732057944,272,0.9019615884777159,None,None,1,None,i7010,3678215
1743214511,1743214544,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 945 epochs 216 sub_window_num 297 n 2282 k 409 eps_small 477 eps_big 302 temperature 0.4841432066448033 lamb 411 percentile 0.5306662440001965,945,216,297,2282,409,477,302,0.4841432066448033,411,0.5306662440001965,None,None,1,None,i7011,3678213
1743214531,1743214544,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 1395 epochs 128 sub_window_num 394 n 2955 k 49 eps_small 372 eps_big 266 temperature 0.39319441952276973 lamb 399 percentile 0.107504498032853,1395,128,394,2955,49,372,266,0.39319441952276973,399,0.107504498032853,None,None,1,None,i7029,3678221
1743214532,1743214551,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 4978 epochs 281 sub_window_num 136 n 1960 k 365 eps_small 148 eps_big 135 temperature 0.9381884465441108 lamb 36 percentile 0.7982168410085142,4978,281,136,1960,365,148,135,0.9381884465441108,36,0.7982168410085142,None,None,1,None,i7095,3678219
1743214471,1743216503,2032,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier MCDDD recent_samples_size 3499 epochs 69 sub_window_num 4 n 2493 k 8 eps_small 445 eps_big 198 temperature 0.7371488998066634 lamb 308 percentile 0.9285494840666652,3499,69,4,2493,8,445,198,0.7371488998066634,308,0.9285494840666652,0.71,2013,0,None,i7183,2013,1374.078125,1275.8246998152708,-1,0.8600387883265608,3678165

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⚠ Job 3669948 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669948/3669948_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669948 ON i7011 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669948.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669949 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669949/3669949_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669949 ON i7011 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669949.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669950 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669950/3669950_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669950 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669950.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669951 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669951/3669951_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669951 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669951.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669952 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669952/3669952_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669952 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669952.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669954 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669954/3669954_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669954 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669954.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669955 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669955/3669955_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669955 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***



⚠ Job 3669956 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669956/3669956_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669956 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669956.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669958 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669958/3669958_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669958 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669958.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669959 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669959/3669959_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669959 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669959.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669961 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669961/3669961_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669961 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***



⚠ Job 3669962 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669962/3669962_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669962 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669962.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669963 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669963/3669963_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669963 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669963.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669964 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669964/3669964_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669964 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***



⚠ Job 3669966 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669966/3669966_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669966 ON i7009 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669966.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669967 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669967/3669967_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669967 ON i7009 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669967.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669968 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669968/3669968_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669968 ON i7009 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669968.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669974 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669974/3669974_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669974 ON i7009 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669974.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669975 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669975/3669975_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669975 ON i7009 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669975.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669976 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669976/3669976_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669976 ON i7009 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***



⚠ Job 3669978 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669978/3669978_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669978 ON i7009 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669978.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678151 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678151/3678151_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678151 ON i7145 CANCELLED AT 2025-03-29T04:14:15 DUE TO TIME LIMIT ***



⚠ Job 3678154 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678154/3678154_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678154 ON i7181 CANCELLED AT 2025-03-29T04:14:16 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678154.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678159 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678159/3678159_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678159 ON i7095 CANCELLED AT 2025-03-29T04:14:15 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678159.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678171 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678171/3678171_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678171 ON i7089 CANCELLED AT 2025-03-29T04:14:45 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678171.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678176 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678176/3678176_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678176 ON i7050 CANCELLED AT 2025-03-29T04:14:45 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678176.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678183 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678183/3678183_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678183 ON i7019 CANCELLED AT 2025-03-29T04:14:45 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678183.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678189 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678189/3678189_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678189 ON i7139 CANCELLED AT 2025-03-29T04:15:15 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678189.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678194 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678194/3678194_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678194 ON i7018 CANCELLED AT 2025-03-29T04:15:15 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678194.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678206 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678206/3678206_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678206 ON i7167 CANCELLED AT 2025-03-29T04:15:15 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678206.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678208 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678208/3678208_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678208 ON i7024 CANCELLED AT 2025-03-29T04:15:15 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678208.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678217 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678217/3678217_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678217 ON i7162 CANCELLED AT 2025-03-29T04:15:45 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678217.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678223 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678223/3678223_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678223 ON i7017 CANCELLED AT 2025-03-29T04:15:45 DUE TO TIME LIMIT ***



⚠ Job 3678225 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678225/3678225_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678225 ON i7015 CANCELLED AT 2025-03-29T04:15:45 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678225.batch. Some of the step tasks have been OOM Killed.



It seems like the search space was exhausted. You were able to get 0% of the jobs you requested (got: 1, submitted: 60, failed: 59, requested: 500) after main ran

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1743218546.9569385,30,9,30
1743218562.7123454,30,8,27
1743218578.3003733,30,7,23
1743218594.175522,30,6,20
1743218609.8177166,30,5,17
1743218625.6091068,30,4,13
1743218641.189805,30,3,10
1743218656.7427466,30,2,7
1743218672.4718046,30,1,3
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timestamp,ram_usage_mb,cpu_usage_percent
1743187847,597.65234375,34.0
1743187847,597.65234375,34.6
1743187847,597.94921875,34.4
1743187847,597.94921875,35.2
1743187847,597.94921875,41.7
1743187847,597.94921875,33.6
1743187847,597.94921875,29.0
1743187918,612.14453125,33.9
1743187918,612.1484375,29.6
1743187918,612.1484375,35.0
1743187918,612.1484375,25.0
1743200476,626.3359375,33.5
1743200476,626.3359375,34.3
1743200477,626.3359375,34.2
1743200477,626.3359375,38.6
1743218685,642.296875,31.7
1743218685,642.296875,28.1
1743218685,642.296875,27.8
1743218685,642.296875,29.4
1743218689,646.19921875,27.8
1743218689,646.19921875,26.5
1743218689,646.19921875,27.4
1743218689,646.19921875,23.5
1743218694,646.24609375,27.0
1743218694,646.24609375,22.2
1743218694,646.24609375,27.7
1743218694,646.24609375,34.2
1743218699,646.24609375,27.0
1743218699,646.24609375,25.0
1743218699,646.24609375,32.7
1743218699,646.24609375,30.8
1743218703,646.24609375,27.7
1743218703,646.24609375,34.2
1743218703,646.24609375,27.7
1743218703,646.24609375,27.3
1743218707,646.24609375,28.2
1743218707,646.24609375,36.8
1743218707,646.24609375,28.1
1743218707,646.24609375,30.1
1743218712,646.25,27.9
1743218712,646.25,29.2
1743218712,646.25,27.9
1743218712,646.25,20.6
1743218716,646.265625,27.7
1743218716,646.265625,27.9
1743218716,646.265625,27.4
1743218716,646.265625,27.5
1743218721,647.01953125,27.9
1743218721,647.01953125,26.4
1743218721,647.01953125,27.9
1743218721,647.01953125,27.4
1743218725,646.171875,28.4
1743218725,646.171875,21.2
1743218725,646.171875,28.2
1743218725,646.171875,34.3
1743218730,646.17578125,28.3
1743218730,646.17578125,28.9
1743218730,646.17578125,28.6
1743218730,646.17578125,22.6
1743218734,646.23828125,28.3
1743218734,646.23828125,28.2
1743218734,646.23828125,28.0
1743218734,646.23828125,28.3
1743218739,646.23828125,28.3
1743218739,646.23828125,27.9
1743218739,646.23828125,28.9
1743218739,646.23828125,28.3
1743218743,646.24609375,28.5
1743218743,646.24609375,20.0
1743218743,646.24609375,28.7
1743218743,646.24609375,23.3
1743218747,646.2265625,28.4
1743218747,646.2265625,35.0
1743218747,646.2265625,28.9
1743218747,646.2265625,36.2
1743218751,646.30078125,28.5
1743218751,646.30078125,27.1
1743218751,646.30078125,28.9
1743218751,646.30078125,31.4
1743218756,646.234375,28.5
1743218756,646.234375,27.7
1743218756,646.234375,28.7
1743218756,646.234375,35.9
1743218760,646.29296875,28.6
1743218760,646.29296875,28.4
1743218760,646.29296875,28.6
1743218760,646.29296875,30.3
1743218765,646.27734375,28.4
1743218765,646.27734375,27.6
1743218765,646.27734375,29.4
1743218765,646.27734375,20.0
1743218769,646.2890625,28.2
1743218769,646.2890625,28.6
1743218769,646.2890625,28.3
1743218769,646.2890625,35.7
1743218773,646.28125,28.5
1743218773,646.28125,30.3
1743218773,646.28125,28.0
1743218773,646.28125,27.9
1743218777,646.29296875,28.5
1743218777,646.29296875,28.6
1743218777,646.29296875,28.5
1743218777,646.29296875,35.9
1743218782,647.03515625,28.1
1743218782,647.03515625,20.0
1743218782,647.03515625,28.3
1743218782,647.03515625,20.7
1743218786,647.05078125,27.8
1743218786,647.05078125,29.6
1743218786,647.05078125,27.9
1743218786,647.05078125,21.9
1743218790,647.06640625,27.8
1743218790,647.06640625,27.9
1743218790,647.06640625,27.8
1743218790,647.06640625,22.6
1743218795,646.21484375,27.9
1743218795,646.21484375,32.6
1743218795,646.21484375,28.4
1743218795,646.21484375,25.7
1743218799,647.06640625,27.7
1743218799,647.06640625,22.2
1743218799,647.06640625,27.6
1743218799,647.06640625,23.3
1743218803,647.06640625,27.7
1743218803,647.06640625,28.3
1743218803,647.06640625,27.8
1743218803,647.06640625,27.5
1743218808,647.2890625,27.8
1743218808,647.2890625,26.4
1743218808,647.2890625,27.3
1743218808,647.2890625,27.6
1743218812,647.2890625,27.8
1743218812,647.2890625,35.0
1743218812,647.2890625,28.0
1743218812,647.2890625,28.6
1743218816,647.2890625,27.8
1743218816,647.2890625,20.0
1743218816,647.2890625,27.8
1743218816,647.2890625,36.6
1743218821,647.2890625,27.9
1743218821,647.2890625,27.3
1743218821,647.2890625,27.5
1743218821,647.2890625,30.2
1743218825,647.2890625,27.8
1743218825,647.2890625,20.6
1743218825,647.2890625,28.0
1743218825,647.2890625,21.9
1743218830,647.2890625,27.8
1743218830,647.2890625,32.5
1743218830,647.2890625,27.6
1743218830,647.2890625,29.6
1743218834,647.2890625,27.8
1743218834,647.2890625,32.5
1743218834,647.2890625,28.0
1743218834,647.2890625,26.8
1743218838,647.328125,27.9
1743218838,647.328125,26.9
1743218838,647.328125,28.7
1743218838,647.328125,25.0
1743218842,647.328125,27.9
1743218842,647.328125,36.6
1743218842,647.328125,28.0
1743218842,647.328125,33.3
1743218847,647.328125,27.8
1743218847,647.328125,25.0
1743218847,647.328125,27.3
1743218847,647.328125,27.2
1743218851,647.328125,27.9
1743218851,647.328125,27.1
1743218851,647.328125,27.2
1743218851,647.328125,27.5
1743218855,647.328125,27.8
1743218855,647.328125,27.7
1743218855,647.328125,27.4
1743218855,647.328125,21.2
1743218860,647.328125,27.7
1743218860,647.328125,28.0
1743218860,647.328125,27.8
1743218860,647.328125,27.1
1743218865,647.328125,27.3
1743218865,647.328125,27.3
1743218865,647.328125,27.5
1743218865,647.328125,26.9
1743218869,647.37109375,27.3
1743218869,647.37109375,26.8
1743218869,647.37109375,26.7
1743218869,647.37109375,28.9
1743218874,647.37109375,27.3
1743218874,647.37109375,26.5
1743218874,647.37109375,27.2
1743218874,647.37109375,27.8
1743218878,647.37109375,27.2
1743218878,647.37109375,27.7
1743218878,647.37109375,28.0
1743218878,647.37109375,24.6
1743218882,647.37109375,27.4
1743218882,647.37109375,21.9
1743218882,647.37109375,28.1
1743218882,647.37109375,19.5
1743218886,647.37109375,27.3
1743218886,647.37109375,27.5
1743218886,647.37109375,27.7
1743218886,647.37109375,28.0
1743218890,647.37109375,27.3
1743218891,647.37109375,27.1
1743218891,647.37109375,26.8
1743218891,647.37109375,22.9
1743218895,647.37109375,27.3
1743218895,647.37109375,34.9
1743218895,647.37109375,27.9
1743218895,647.37109375,25.0

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				border: 2px solid #0056b3;
				text-align: center;
				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 pareto_front_data = {
			    "ACCURACY": {
			        "RUNTIME": {
			            "param_dicts": [
			                {
			                    "recent_samples_size": 4385,
			                    "epochs": 293,
			                    "sub_window_num": 498,
			                    "n": 1106,
			                    "k": 475,
			                    "eps_small": 66,
			                    "eps_big": 399,
			                    "temperature": 0.17638392612803727,
			                    "lamb": 417,
			                    "percentile": 0.1837478404454887
			                }
			            ],
			            "means": {
			                "RUNTIME": [
			                    2013
			                ],
			                "ACCURACY": [
			                    0.71
			                ]
			            },
			            "sems": {
			                "RUNTIME": [
			                    0.9999464587503295
			                ],
			                "ACCURACY": [
			                    0.9999464587503295
			                ]
			            },
			            "absolute_metrics": [
			                "ACCURACY",
			                "RUNTIME"
			            ]
			        }
			    }
			};
			var tab_results_headers_json = [
			    "trial_index",
			    "arm_name",
			    "trial_status",
			    "generation_method",
			    "generation_node",
			    "ACCURACY",
			    "RUNTIME",
			    "recent_samples_size",
			    "epochs",
			    "sub_window_num",
			    "n",
			    "k",
			    "eps_small",
			    "eps_big",
			    "temperature",
			    "lamb",
			    "percentile"
			];
			var tab_results_csv_json = [
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			    ],
			    [
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			    [
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			    [
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			        1743218689,
			        646.19921875,
			        27.4
			    ],
			    [
			        1743218689,
			        646.19921875,
			        23.5
			    ],
			    [
			        1743218694,
			        646.24609375,
			        27
			    ],
			    [
			        1743218694,
			        646.24609375,
			        22.2
			    ],
			    [
			        1743218694,
			        646.24609375,
			        27.7
			    ],
			    [
			        1743218694,
			        646.24609375,
			        34.2
			    ],
			    [
			        1743218699,
			        646.24609375,
			        27
			    ],
			    [
			        1743218699,
			        646.24609375,
			        25
			    ],
			    [
			        1743218699,
			        646.24609375,
			        32.7
			    ],
			    [
			        1743218699,
			        646.24609375,
			        30.8
			    ],
			    [
			        1743218703,
			        646.24609375,
			        27.7
			    ],
			    [
			        1743218703,
			        646.24609375,
			        34.2
			    ],
			    [
			        1743218703,
			        646.24609375,
			        27.7
			    ],
			    [
			        1743218703,
			        646.24609375,
			        27.3
			    ],
			    [
			        1743218707,
			        646.24609375,
			        28.2
			    ],
			    [
			        1743218707,
			        646.24609375,
			        36.8
			    ],
			    [
			        1743218707,
			        646.24609375,
			        28.1
			    ],
			    [
			        1743218707,
			        646.24609375,
			        30.1
			    ],
			    [
			        1743218712,
			        646.25,
			        27.9
			    ],
			    [
			        1743218712,
			        646.25,
			        29.2
			    ],
			    [
			        1743218712,
			        646.25,
			        27.9
			    ],
			    [
			        1743218712,
			        646.25,
			        20.6
			    ],
			    [
			        1743218716,
			        646.265625,
			        27.7
			    ],
			    [
			        1743218716,
			        646.265625,
			        27.9
			    ],
			    [
			        1743218716,
			        646.265625,
			        27.4
			    ],
			    [
			        1743218716,
			        646.265625,
			        27.5
			    ],
			    [
			        1743218721,
			        647.01953125,
			        27.9
			    ],
			    [
			        1743218721,
			        647.01953125,
			        26.4
			    ],
			    [
			        1743218721,
			        647.01953125,
			        27.9
			    ],
			    [
			        1743218721,
			        647.01953125,
			        27.4
			    ],
			    [
			        1743218725,
			        646.171875,
			        28.4
			    ],
			    [
			        1743218725,
			        646.171875,
			        21.2
			    ],
			    [
			        1743218725,
			        646.171875,
			        28.2
			    ],
			    [
			        1743218725,
			        646.171875,
			        34.3
			    ],
			    [
			        1743218730,
			        646.17578125,
			        28.3
			    ],
			    [
			        1743218730,
			        646.17578125,
			        28.9
			    ],
			    [
			        1743218730,
			        646.17578125,
			        28.6
			    ],
			    [
			        1743218730,
			        646.17578125,
			        22.6
			    ],
			    [
			        1743218734,
			        646.23828125,
			        28.3
			    ],
			    [
			        1743218734,
			        646.23828125,
			        28.2
			    ],
			    [
			        1743218734,
			        646.23828125,
			        28
			    ],
			    [
			        1743218734,
			        646.23828125,
			        28.3
			    ],
			    [
			        1743218739,
			        646.23828125,
			        28.3
			    ],
			    [
			        1743218739,
			        646.23828125,
			        27.9
			    ],
			    [
			        1743218739,
			        646.23828125,
			        28.9
			    ],
			    [
			        1743218739,
			        646.23828125,
			        28.3
			    ],
			    [
			        1743218743,
			        646.24609375,
			        28.5
			    ],
			    [
			        1743218743,
			        646.24609375,
			        20
			    ],
			    [
			        1743218743,
			        646.24609375,
			        28.7
			    ],
			    [
			        1743218743,
			        646.24609375,
			        23.3
			    ],
			    [
			        1743218747,
			        646.2265625,
			        28.4
			    ],
			    [
			        1743218747,
			        646.2265625,
			        35
			    ],
			    [
			        1743218747,
			        646.2265625,
			        28.9
			    ],
			    [
			        1743218747,
			        646.2265625,
			        36.2
			    ],
			    [
			        1743218751,
			        646.30078125,
			        28.5
			    ],
			    [
			        1743218751,
			        646.30078125,
			        27.1
			    ],
			    [
			        1743218751,
			        646.30078125,
			        28.9
			    ],
			    [
			        1743218751,
			        646.30078125,
			        31.4
			    ],
			    [
			        1743218756,
			        646.234375,
			        28.5
			    ],
			    [
			        1743218756,
			        646.234375,
			        27.7
			    ],
			    [
			        1743218756,
			        646.234375,
			        28.7
			    ],
			    [
			        1743218756,
			        646.234375,
			        35.9
			    ],
			    [
			        1743218760,
			        646.29296875,
			        28.6
			    ],
			    [
			        1743218760,
			        646.29296875,
			        28.4
			    ],
			    [
			        1743218760,
			        646.29296875,
			        28.6
			    ],
			    [
			        1743218760,
			        646.29296875,
			        30.3
			    ],
			    [
			        1743218765,
			        646.27734375,
			        28.4
			    ],
			    [
			        1743218765,
			        646.27734375,
			        27.6
			    ],
			    [
			        1743218765,
			        646.27734375,
			        29.4
			    ],
			    [
			        1743218765,
			        646.27734375,
			        20
			    ],
			    [
			        1743218769,
			        646.2890625,
			        28.2
			    ],
			    [
			        1743218769,
			        646.2890625,
			        28.6
			    ],
			    [
			        1743218769,
			        646.2890625,
			        28.3
			    ],
			    [
			        1743218769,
			        646.2890625,
			        35.7
			    ],
			    [
			        1743218773,
			        646.28125,
			        28.5
			    ],
			    [
			        1743218773,
			        646.28125,
			        30.3
			    ],
			    [
			        1743218773,
			        646.28125,
			        28
			    ],
			    [
			        1743218773,
			        646.28125,
			        27.9
			    ],
			    [
			        1743218777,
			        646.29296875,
			        28.5
			    ],
			    [
			        1743218777,
			        646.29296875,
			        28.6
			    ],
			    [
			        1743218777,
			        646.29296875,
			        28.5
			    ],
			    [
			        1743218777,
			        646.29296875,
			        35.9
			    ],
			    [
			        1743218782,
			        647.03515625,
			        28.1
			    ],
			    [
			        1743218782,
			        647.03515625,
			        20
			    ],
			    [
			        1743218782,
			        647.03515625,
			        28.3
			    ],
			    [
			        1743218782,
			        647.03515625,
			        20.7
			    ],
			    [
			        1743218786,
			        647.05078125,
			        27.8
			    ],
			    [
			        1743218786,
			        647.05078125,
			        29.6
			    ],
			    [
			        1743218786,
			        647.05078125,
			        27.9
			    ],
			    [
			        1743218786,
			        647.05078125,
			        21.9
			    ],
			    [
			        1743218790,
			        647.06640625,
			        27.8
			    ],
			    [
			        1743218790,
			        647.06640625,
			        27.9
			    ],
			    [
			        1743218790,
			        647.06640625,
			        27.8
			    ],
			    [
			        1743218790,
			        647.06640625,
			        22.6
			    ],
			    [
			        1743218795,
			        646.21484375,
			        27.9
			    ],
			    [
			        1743218795,
			        646.21484375,
			        32.6
			    ],
			    [
			        1743218795,
			        646.21484375,
			        28.4
			    ],
			    [
			        1743218795,
			        646.21484375,
			        25.7
			    ],
			    [
			        1743218799,
			        647.06640625,
			        27.7
			    ],
			    [
			        1743218799,
			        647.06640625,
			        22.2
			    ],
			    [
			        1743218799,
			        647.06640625,
			        27.6
			    ],
			    [
			        1743218799,
			        647.06640625,
			        23.3
			    ],
			    [
			        1743218803,
			        647.06640625,
			        27.7
			    ],
			    [
			        1743218803,
			        647.06640625,
			        28.3
			    ],
			    [
			        1743218803,
			        647.06640625,
			        27.8
			    ],
			    [
			        1743218803,
			        647.06640625,
			        27.5
			    ],
			    [
			        1743218808,
			        647.2890625,
			        27.8
			    ],
			    [
			        1743218808,
			        647.2890625,
			        26.4
			    ],
			    [
			        1743218808,
			        647.2890625,
			        27.3
			    ],
			    [
			        1743218808,
			        647.2890625,
			        27.6
			    ],
			    [
			        1743218812,
			        647.2890625,
			        27.8
			    ],
			    [
			        1743218812,
			        647.2890625,
			        35
			    ],
			    [
			        1743218812,
			        647.2890625,
			        28
			    ],
			    [
			        1743218812,
			        647.2890625,
			        28.6
			    ],
			    [
			        1743218816,
			        647.2890625,
			        27.8
			    ],
			    [
			        1743218816,
			        647.2890625,
			        20
			    ],
			    [
			        1743218816,
			        647.2890625,
			        27.8
			    ],
			    [
			        1743218816,
			        647.2890625,
			        36.6
			    ],
			    [
			        1743218821,
			        647.2890625,
			        27.9
			    ],
			    [
			        1743218821,
			        647.2890625,
			        27.3
			    ],
			    [
			        1743218821,
			        647.2890625,
			        27.5
			    ],
			    [
			        1743218821,
			        647.2890625,
			        30.2
			    ],
			    [
			        1743218825,
			        647.2890625,
			        27.8
			    ],
			    [
			        1743218825,
			        647.2890625,
			        20.6
			    ],
			    [
			        1743218825,
			        647.2890625,
			        28
			    ],
			    [
			        1743218825,
			        647.2890625,
			        21.9
			    ],
			    [
			        1743218830,
			        647.2890625,
			        27.8
			    ],
			    [
			        1743218830,
			        647.2890625,
			        32.5
			    ],
			    [
			        1743218830,
			        647.2890625,
			        27.6
			    ],
			    [
			        1743218830,
			        647.2890625,
			        29.6
			    ],
			    [
			        1743218834,
			        647.2890625,
			        27.8
			    ],
			    [
			        1743218834,
			        647.2890625,
			        32.5
			    ],
			    [
			        1743218834,
			        647.2890625,
			        28
			    ],
			    [
			        1743218834,
			        647.2890625,
			        26.8
			    ],
			    [
			        1743218838,
			        647.328125,
			        27.9
			    ],
			    [
			        1743218838,
			        647.328125,
			        26.9
			    ],
			    [
			        1743218838,
			        647.328125,
			        28.7
			    ],
			    [
			        1743218838,
			        647.328125,
			        25
			    ],
			    [
			        1743218842,
			        647.328125,
			        27.9
			    ],
			    [
			        1743218842,
			        647.328125,
			        36.6
			    ],
			    [
			        1743218842,
			        647.328125,
			        28
			    ],
			    [
			        1743218842,
			        647.328125,
			        33.3
			    ],
			    [
			        1743218847,
			        647.328125,
			        27.8
			    ],
			    [
			        1743218847,
			        647.328125,
			        25
			    ],
			    [
			        1743218847,
			        647.328125,
			        27.3
			    ],
			    [
			        1743218847,
			        647.328125,
			        27.2
			    ],
			    [
			        1743218851,
			        647.328125,
			        27.9
			    ],
			    [
			        1743218851,
			        647.328125,
			        27.1
			    ],
			    [
			        1743218851,
			        647.328125,
			        27.2
			    ],
			    [
			        1743218851,
			        647.328125,
			        27.5
			    ],
			    [
			        1743218855,
			        647.328125,
			        27.8
			    ],
			    [
			        1743218855,
			        647.328125,
			        27.7
			    ],
			    [
			        1743218855,
			        647.328125,
			        27.4
			    ],
			    [
			        1743218855,
			        647.328125,
			        21.2
			    ],
			    [
			        1743218860,
			        647.328125,
			        27.7
			    ],
			    [
			        1743218860,
			        647.328125,
			        28
			    ],
			    [
			        1743218860,
			        647.328125,
			        27.8
			    ],
			    [
			        1743218860,
			        647.328125,
			        27.1
			    ],
			    [
			        1743218865,
			        647.328125,
			        27.3
			    ],
			    [
			        1743218865,
			        647.328125,
			        27.3
			    ],
			    [
			        1743218865,
			        647.328125,
			        27.5
			    ],
			    [
			        1743218865,
			        647.328125,
			        26.9
			    ],
			    [
			        1743218869,
			        647.37109375,
			        27.3
			    ],
			    [
			        1743218869,
			        647.37109375,
			        26.8
			    ],
			    [
			        1743218869,
			        647.37109375,
			        26.7
			    ],
			    [
			        1743218869,
			        647.37109375,
			        28.9
			    ],
			    [
			        1743218874,
			        647.37109375,
			        27.3
			    ],
			    [
			        1743218874,
			        647.37109375,
			        26.5
			    ],
			    [
			        1743218874,
			        647.37109375,
			        27.2
			    ],
			    [
			        1743218874,
			        647.37109375,
			        27.8
			    ],
			    [
			        1743218878,
			        647.37109375,
			        27.2
			    ],
			    [
			        1743218878,
			        647.37109375,
			        27.7
			    ],
			    [
			        1743218878,
			        647.37109375,
			        28
			    ],
			    [
			        1743218878,
			        647.37109375,
			        24.6
			    ],
			    [
			        1743218882,
			        647.37109375,
			        27.4
			    ],
			    [
			        1743218882,
			        647.37109375,
			        21.9
			    ],
			    [
			        1743218882,
			        647.37109375,
			        28.1
			    ],
			    [
			        1743218882,
			        647.37109375,
			        19.5
			    ],
			    [
			        1743218886,
			        647.37109375,
			        27.3
			    ],
			    [
			        1743218886,
			        647.37109375,
			        27.5
			    ],
			    [
			        1743218886,
			        647.37109375,
			        27.7
			    ],
			    [
			        1743218886,
			        647.37109375,
			        28
			    ],
			    [
			        1743218890,
			        647.37109375,
			        27.3
			    ],
			    [
			        1743218891,
			        647.37109375,
			        27.1
			    ],
			    [
			        1743218891,
			        647.37109375,
			        26.8
			    ],
			    [
			        1743218891,
			        647.37109375,
			        22.9
			    ],
			    [
			        1743218895,
			        647.37109375,
			        27.3
			    ],
			    [
			        1743218895,
			        647.37109375,
			        34.9
			    ],
			    [
			        1743218895,
			        647.37109375,
			        27.9
			    ],
			    [
			        1743218895,
			        647.37109375,
			        25
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout) {
				layout["width"] = get_graph_width();
				layout["height"] = get_graph_height();
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function load_pareto_graph() {
				if($("#tab_pareto_fronts").data("loaded") == "true") {
					return;
				}
			
				var data = pareto_front_data;
			
				if (!data || typeof data !== "object") {
					console.error("Invalid data format for pareto_front_data");
					return;
				}
			
				if (!Object.keys(data).length) {
					console.warn("No data found in pareto_front_data");
					return;
				}
			
				let categories = Object.keys(data);
				let allMetrics = new Set();
			
				function extractMetrics(obj, prefix = "") {
					let keys = Object.keys(obj);
					for (let key of keys) {
						let newPrefix = prefix ? `${prefix} -> ${key}` : key;
						if (typeof obj[key] === "object" && !Array.isArray(obj[key])) {
							extractMetrics(obj[key], newPrefix);
						} else {
							if (!newPrefix.includes("param_dicts") && !newPrefix.includes(" -> sems -> ") && !newPrefix.includes("absolute_metrics")) {
								allMetrics.add(newPrefix);
							}
						}
					}
				}
			
				for (let cat of categories) {
					extractMetrics(data[cat]);
				}
			
				allMetrics = Array.from(allMetrics);
			
				function extractValues(obj, metricPath, values) {
					let parts = metricPath.split(" -> ");
					let data = obj;
					for (let part of parts) {
						if (data && typeof data === "object") {
							data = data[part];
						} else {
							return;
						}
					}
					if (Array.isArray(data)) {
						values.push(...data);
					}
				}
			
				let graphContainer = document.getElementById("pareto_front_graphs_container");
				graphContainer.classList.add("invert_in_dark_mode");
				graphContainer.innerHTML = "";
			
				var already_plotted = [];
			
				for (let i = 0; i < allMetrics.length; i++) {
					for (let j = i + 1; j < allMetrics.length; j++) {
						let xMetric = allMetrics[i];
						let yMetric = allMetrics[j];
			
						let xValues = [];
						let yValues = [];
			
						for (let cat of categories) {
							let metricData = data[cat];
							extractValues(metricData, xMetric, xValues);
							extractValues(metricData, yMetric, yValues);
						}
			
						xValues = xValues.filter(v => v !== undefined && v !== null);
						yValues = yValues.filter(v => v !== undefined && v !== null);
			
						let cleanXMetric = xMetric.replace(/.* -> /g, "");
						let cleanYMetric = yMetric.replace(/.* -> /g, "");
			
						let plot_key = `${cleanXMetric}-${cleanYMetric}`;
			
						if (xValues.length > 0 && yValues.length > 0 && xValues.length === yValues.length && !already_plotted.includes(plot_key)) {
							let div = document.createElement("div");
							div.id = `pareto_front_graph_${i}_${j}`;
							div.style.marginBottom = "20px";
							graphContainer.appendChild(div);
			
							let layout = {
								title: `${cleanXMetric} vs ${cleanYMetric}`,
								xaxis: {
									title: get_axis_title_data(cleanXMetric)
								},
								yaxis: {
									title: get_axis_title_data(cleanYMetric)
								},
								hovermode: "closest"
							};
			
							let trace = {
								x: xValues,
								y: yValues,
								mode: "markers",
								marker: {
									size: get_marker_size(),
								},
								type: "scatter",
								name: `${cleanXMetric} vs ${cleanYMetric}`
							};
			
							Plotly.newPlot(div.id, [trace], add_default_layout_data(layout));
			
							already_plotted.push(plot_key);
						}
					}
				}
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				$("#tab_pareto_fronts").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_method";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',  // Zeigt nur Ausreißer außerhalb der Whiskers
						jitter: 0.5,  // Erhöht die Streuung der Punkte für bessere Sichtbarkeit
						pointpos: 0   // Position der Punkte innerhalb der Box
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: "Generation Method"
					},
					boxmode: 'group'  // Gruppiert die Boxplots nach Generation Method
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_method"]').forEach(el => {
					let color = el.textContent.includes("Manual") ? "green" :
						el.textContent.includes("Sobol") ? "orange" :
						el.textContent.includes("SAASBO") ? "pink" :
						el.textContent.includes("Uniform") ? "lightblue" :
						el.textContent.includes("Legacy_GPEI") ? "Sienna" :
						el.textContent.includes("BO_MIXED") ? "Aqua" :
						el.textContent.includes("RANDOMFOREST") ? "DarkSeaGreen" :
						el.textContent.includes("EXTERNAL_GENERATOR") ? "Purple" :
						el.textContent.includes("BoTorch") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			

			$(document).ready(function() {
				load_pareto_graph();;
				colorize_table_entries();;
				plotWorkerUsage();;
				plotCPUAndRAMUsage();;
				createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names);;
				plotScatter2d();;
				plotScatter3d();
				plotJobStatusDistribution();;
				plotExitCodesPieChart();

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;Overview</h1>
			<h2>Experiment overview:              </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value           </th></tr></thead><tbody><tr><td> 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>Best RUNTIME, min (total: 1, failed: 59):                                                        </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> ACCURACY</th><th>recent_samples_size</th><th>epochs</th><th>sub_window_num</th><th>n</th><th>k</th><th>eps_small</th><th>eps_big</th><th>temperature</th><th>lamb</th><th>percentile</th><th>RUNTIME </th></tr></thead><tbody><tr><td> 0.71</td><td>3499</td><td>69</td><td>4</td><td>2493</td><td>8</td><td>445</td><td>198</td><td>0.7371488998066634</td><td>308</td><td>0.9285494840666652</td><td>2013    </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> epochs</td><td>range</td><td>1</td><td>500</td><td>int</td><td>No         </td></tr><tr><td> sub_window_num</td><td>range</td><td>1</td><td>500</td><td>int</td><td>No         </td></tr><tr><td> n</td><td>range</td><td>1</td><td>5000</td><td>int</td><td>No         </td></tr><tr><td> k</td><td>range</td><td>1</td><td>500</td><td>int</td><td>No         </td></tr><tr><td> eps_small</td><td>range</td><td>1</td><td>500</td><td>int</td><td>No         </td></tr><tr><td> eps_big</td><td>range</td><td>1</td><td>500</td><td>int</td><td>No         </td></tr><tr><td> temperature</td><td>range</td><td>0.01</td><td>0.999</td><td>float</td><td>No         </td></tr><tr><td> lamb</td><td>range</td><td>1</td><td>500</td><td>int</td><td>No         </td></tr><tr><td> percentile</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>59</td>
			<td>1</td>
			<td>29</td>
			<td>89</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types:</h2>
			<br><table>
			<tr><th>name</th><th>min/max</th></tr>
			<tr>
			<td>ACCURACY</td>
			<td>max</td>
			</tr>
			<tr>
			<td>RUNTIME</td>
			<td>min</td>
			</tr>
			</table><br>
			
			<h1>&nbsp;Pareto-Fronts</h1>
			<div id='pareto_front_graphs_container'></div>
<pre>                                                              Pareto Frontier Results for ACCURACY/RUNTIME:                                                              
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ recent_samples_size ┃ epochs ┃ sub_window_num ┃  n   ┃  k  ┃ eps_small ┃ eps_big ┃     temperature     ┃ lamb ┃     percentile     ┃   ACCURACY    ┃     RUNTIME      ┃
┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━╇━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│        4385         │  293   │      498       │ 1106 │ 475 │    66     │   399   │ 0.17638392612803727 │ 417  │ 0.1837478404454887 │ 0.710 &plusmn; 1.000 │ 2013.000 &plusmn; 1.000 │
└─────────────────────┴────────┴────────────────┴──────┴─────┴───────────┴─────────┴─────────────────────┴──────┴────────────────────┴───────────────┴──────────────────┘
</pre>
			<h1>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,epochs,sub_window_num,n,k,eps_small,eps_big,temperature,lamb,percentile
0,0_0,FAILED,Sobol,GenerationStep_0,,,4282,454,192,547,246,81,215,0.397879131972789790161471046304,248,0.514095430850982637593915569596
1,1_0,FAILED,Sobol,GenerationStep_0,,,1924,76,465,4551,437,438,342,0.964544389641843746829863448511,314,0.331200033994391573877180690033
2,2_0,FAILED,Sobol,GenerationStep_0,,,110,372,82,2190,272,362,99,0.511645010413601997179000591132,488,0.205502444949001078500216976863
3,3_0,FAILED,Sobol,GenerationStep_0,,,3676,220,324,2562,80,156,472,0.082126992403529580633048112759,78,0.887344786373898353204481281864
4,4_0,FAILED,Sobol,GenerationStep_0,,,3050,255,420,3454,14,59,2,0.701993366861715872850879804901,422,0.406577468300238276111002733160
5,5_0,FAILED,Sobol,GenerationStep_0,,,736,151,177,1326,323,455,383,0.135268618605099616436504561534,19,0.746210202604532191195119139593
6,6_0,FAILED,Sobol,GenerationStep_0,,,1303,415,309,4278,470,278,187,0.344676657514646656021994886032,158,0.873786341702565527711499271390
7,7_0,FAILED,Sobol,GenerationStep_0,,,4904,53,36,783,162,236,306,0.774255925371311604088475633034,280,0.035344196874648334261159732250
8,8_0,FAILED,Sobol,GenerationStep_0,,,4593,339,268,1627,404,172,58,0.669017149659804966077558674442,395,0.954246513690799491591576497740
9,9_0,FAILED,Sobol,GenerationStep_0,,,1614,195,10,3132,213,316,434,0.233704207932576540907021467319,47,0.140063583461567747745490919442
10,10_0,FAILED,Sobol,GenerationStep_0,,,1047,491,376,1105,112,391,131,0.315833427946083267201515809575,154,0.263864061139523986554422663176
11,11_0,FAILED,Sobol,GenerationStep_0,,,2739,106,150,3977,304,97,254,0.861250649793073530524623038218,284,0.578993932219222240398437406839
12,12_0,FAILED,Sobol,GenerationStep_0,,,3360,390,125,4852,353,189,220,0.496495300489477819905204114548,190,0.122118325864896182242347322244
13,13_0,FAILED,Sobol,GenerationStep_0,,,425,19,352,223,44,294,351,0.931869488378986754462118824449,373,0.781650909382849978790375189419
14,14_0,FAILED,Sobol,GenerationStep_0,,,2240,284,233,2885,132,470,94,0.598458203251473586092856749019,453,0.659732788825407645560972014209
15,15_0,FAILED,Sobol,GenerationStep_0,,,3967,188,491,1890,440,12,463,0.052981500027701258770385095431,113,0.499390794783830638259303213999
16,16_0,FAILED,Sobol,GenerationStep_0,,,3789,299,17,4069,68,300,313,0.566828148953616661742671567481,61,0.709814831731841011652761608275
17,17_0,FAILED,Sobol,GenerationStep_0,,,2350,169,259,689,251,219,194,0.022799058009870351582115688416,378,0.386933662649244058950870339686
18,18_0,FAILED,Sobol,GenerationStep_0,,,613,404,127,3665,418,19,500,0.464382321298122402453145696199,298,0.009669075550511479349991006416
19,19_0,FAILED,Sobol,GenerationStep_0,,,3260,1,401,1418,234,500,119,0.902169941780157413901974905457,138,0.831725129954516861907620750571
20,20_0,FAILED,Sobol,GenerationStep_0,,,2634,475,374,2411,172,341,401,0.285651868321001534134495614126,356,0.368509108591824785516877227565
21,21_0,FAILED,Sobol,GenerationStep_0,,,1239,118,100,2664,489,174,28,0.829619713102467404297613029485,204,0.536723973995074654652626122697
22,22_0,FAILED,Sobol,GenerationStep_0,,,1729,323,484,328,343,122,287,0.639318485453724827394239582645,97,0.911984377801418277798006783996
23,23_0,FAILED,Sobol,GenerationStep_0,,,4410,208,242,4448,27,392,160,0.201590346348471949333713837405,467,0.244700749093666680700209781207
24,24_0,FAILED,Sobol,GenerationStep_0,,,4726,434,441,2989,285,453,408,0.376307828159071489082521111413,329,0.760362482013180795981099890923
25,25_0,FAILED,Sobol,GenerationStep_0,,,1413,38,214,2109,102,34,39,0.804437243673950419520224386360,232,0.086393026821315291319258733438
26,26_0,FAILED,Sobol,GenerationStep_0,,,924,273,332,4750,200,235,280,0.734107462399639199013279267092,93,0.457634120581671577365767689116
27,27_0,FAILED,Sobol,GenerationStep_0,,,2949,136,75,3,384,253,149,0.164967041488736865240127826837,471,0.632778461094945621212559672131
28,28_0,FAILED,Sobol,GenerationStep_0,,,3571,359,169,1013,461,408,371,0.541827214793302092132876168762,3,0.162265699684619901788096285600
29,29_0,FAILED,Sobol,GenerationStep_0,,,302,237,426,3766,144,75,248,0.113757276970893134171447513836,437,0.992956561380997304588902352407
30,30_0,FAILED,Sobol,GenerationStep_0,,,2040,441,61,1720,56,126,442,0.427578428038395963461937299144,263,0.619715091396123129996453826607
31,31_0,FAILED,Sobol,GenerationStep_0,,,4099,93,287,3341,372,356,66,0.996657599102705682447833623883,173,0.287955466395243997457242812743
32,32_0,FAILED,Sobol,GenerationStep_0,,,4142,364,385,4518,169,262,488,0.794092265429906518647840130143,385,0.551346494136378151296185023966
33,33_0,FAILED,Sobol,GenerationStep_0,,,2143,228,143,397,478,226,115,0.355880978530272840121284616544,53,0.351936388190835724998350997339
34,34_0,FAILED,Sobol,GenerationStep_0,,,209,461,277,2746,317,43,325,0.192698382507078352920970587547,133,0.230085843088105312936875179730
35,35_0,COMPLETED,Sobol,GenerationStep_0,0.709999999999999964472863211995,2013.000000000000000000000000000000,3499,69,4,2493,8,445,198,0.737148899806663426836905728123,308,0.928549484066665153925157483172
36,36_0,FAILED,Sobol,GenerationStep_0,,,2875,408,224,1492,87,349,291,0.124176728057675059280207108259,215,0.401555260766297605901087308666
37,37_0,FAILED,Sobol,GenerationStep_0,,,832,60,497,3739,278,134,172,0.562447492649778779671976280952,352,0.693241189306601834907439751987
38,38_0,FAILED,Sobol,GenerationStep_0,,,1514,263,116,776,429,68,398,0.968853564764373009765563438123,459,0.817111145973205554859930543898
39,39_0,FAILED,Sobol,GenerationStep_0,,,4771,143,358,4156,238,415,16,0.424341797618195404329100028917,103,0.026235103840008378028869628906
40,40_0,FAILED,Sobol,GenerationStep_0,,,4455,499,87,3437,449,492,269,0.025554887542501091013402714225,226,0.976393507363274681942755250930
41,41_0,FAILED,Sobol,GenerationStep_0,,,1830,98,313,1817,141,28,145,0.595116734809242209358615127712,340,0.176882419995963574566033571500
42,42_0,FAILED,Sobol,GenerationStep_0,,,1148,331,197,3831,36,210,420,0.882030940087512149716530984733,479,0.304526134548708804494765445270
43,43_0,FAILED,Sobol,GenerationStep_0,,,2559,203,455,1078,345,309,43,0.453477858155034496689950174186,84,0.605090756949037356093867856544
44,44_0,FAILED,Sobol,GenerationStep_0,,,3188,292,304,95,312,399,446,0.827062823528423862740055483300,428,0.069828991293907169413124336188
45,45_0,FAILED,Sobol,GenerationStep_0,,,519,180,46,4841,121,115,77,0.257439730099402352969661933457,10,0.774978220814839025010201112309
46,46_0,FAILED,Sobol,GenerationStep_0,,,2454,382,414,2169,204,181,367,0.221532180236652498361848984132,184,0.649350110758096010776796447317
47,47_0,FAILED,Sobol,GenerationStep_0,,,3831,27,188,3049,395,334,236,0.650144743545912229265582027438,257,0.443010767644271274967593399197
48,48_0,FAILED,Sobol,GenerationStep_0,,,4039,397,338,879,19,106,102,0.252196646333672114259627505817,323,0.731586708389222573067911525868
49,49_0,FAILED,Sobol,GenerationStep_0,,,2334,8,64,4375,335,382,484,0.681292766395956261860078484460,241,0.423149199755862348570900621780
50,50_0,FAILED,Sobol,GenerationStep_0,,,321,306,446,1390,498,325,211,0.856278573893941907790861023386,67,0.049960076954215767996991814925
51,51_0,FAILED,Sobol,GenerationStep_0,,,3317,161,204,3519,182,163,330,0.290036498155444855129303505237,494,0.857222224382683584131825682562
52,52_0,FAILED,Sobol,GenerationStep_0,,,2694,315,55,2654,225,6,175,0.913178080544806980434202614560,25,0.316575617754831895034328681504
53,53_0,FAILED,Sobol,GenerationStep_0,,,945,216,297,2282,409,477,302,0.484143206644803314464553523067,411,0.530666244000196463126428625401
54,54_0,FAILED,Sobol,GenerationStep_0,,,1706,482,163,4611,259,287,14,0.058150773205794398235113362716,272,0.901961588477715903167108990601
55,55_0,FAILED,Sobol,GenerationStep_0,,,4668,111,437,606,76,196,387,0.624333367567509456286245494994,167,0.188939249653369195636187782839
56,56_0,FAILED,Sobol,GenerationStep_0,,,4978,281,136,1960,365,148,135,0.938188446544110821179174308782,36,0.798216841008514199629075847042
57,57_0,FAILED,Sobol,GenerationStep_0,,,1395,128,394,2955,49,372,266,0.393194419522769733621458954076,399,0.107504498032853001987518837268
58,58_0,FAILED,Sobol,GenerationStep_0,,,634,426,26,305,152,429,54,0.094960325568914413785215344888,292,0.482817249022424233029227025327
59,59_0,FAILED,Sobol,GenerationStep_0,,,3004,46,253,4933,468,90,423,0.529851369348354639399190091353,148,0.674354230793193010207176030235
60,60_0,RUNNING,Sobol,GenerationStep_0,,,3633,449,475,4052,377,243,82,0.161550118334591402691202688402,366,0.156628533577546469324204281293
61,61_0,RUNNING,Sobol,GenerationStep_0,,,6,85,248,1180,193,271,459,0.706484667663462406750340960571,198,0.939631704349070839832336332620
62,62_0,RUNNING,Sobol,GenerationStep_0,,,2019,352,365,3218,108,462,231,0.761495256051421209875229578756,118,0.562421367967501306672772898310
63,63_0,RUNNING,Sobol,GenerationStep_0,,,4355,245,107,1714,292,53,355,0.326665462118573501903995293105,443,0.278486484616994878216189590603
64,64_0,RUNNING,Sobol,GenerationStep_0,,,4322,259,347,2898,483,194,282,0.300914265694096683123603952481,311,0.596767446998506811972617924766
65,65_0,RUNNING,Sobol,GenerationStep_0,,,1973,146,121,2019,167,293,163,0.845425325452350051591565716080,128,0.312824728300794940860640735991
66,66_0,RUNNING,Sobol,GenerationStep_0,,,77,411,487,4992,1,475,406,0.685875724593177471533067546261,48,0.185121736511588086404600517199
67,67_0,RUNNING,Sobol,GenerationStep_0,,,3640,57,229,245,318,12,26,0.247604252613149583561735767034,387,0.968117993960157074972983082262
68,68_0,RUNNING,Sobol,GenerationStep_0,,,3016,466,14,1241,277,165,496,0.613476405339315578046921473288,106,0.450399211926385767412739369320
69,69_0,RUNNING,Sobol,GenerationStep_0,,,701,64,272,3994,93,319,122,0.069024709059856831361301487959,454,0.641929276656359459884981788491
70,70_0,RUNNING,Sobol,GenerationStep_0,,,1344,360,154,1654,241,384,319,0.479554644608870150879198490657,347,0.767749435441568484073115996580
71,71_0,RUNNING,Sobol,GenerationStep_0,,,4951,233,380,3275,424,100,191,0.917764752528630212147220390762,218,0.077029253400862224276934853151
72,72_0,RUNNING,Sobol,GenerationStep_0,,,4636,378,174,4315,135,59,440,0.526685136000625830909882552078,79,0.935814191207289702845173451351
73,73_0,RUNNING,Sobol,GenerationStep_0,,,1658,32,416,936,451,460,70,0.098071865303441876915435670981,482,0.222784939059987668885653988582
74,74_0,RUNNING,Sobol,GenerationStep_0,,,1015,296,32,3579,351,277,374,0.380900052401237199095618279898,343,0.344587687615305171551227658711
75,75_0,RUNNING,Sobol,GenerationStep_0,,,2702,176,305,1333,34,241,243,0.950522438442334527408661415393,222,0.558670478513464296987933721539
76,76_0,RUNNING,Sobol,GenerationStep_0,,,3330,335,469,2341,123,84,277,0.329780833537690332146752325571,253,0.018031709091737867234339631750
77,77_0,RUNNING,Sobol,GenerationStep_0,,,387,199,196,2594,307,431,155,0.758332736490294312403648291365,187,0.825286017455160614275655461824
78,78_0,RUNNING,Sobol,GenerationStep_0,,,2282,496,327,549,394,366,411,0.718814945775084201962101815298,13,0.701604242963716373537863546517
79,79_0,RUNNING,Sobol,GenerationStep_0,,,4013,101,85,4670,210,150,35,0.149251919528469445541674076594,423,0.393159817289561008823994825434
80,80_0,RUNNING,Sobol,GenerationStep_0,,,3898,479,423,1873,329,413,183,0.748030377447605143714781661402,498,0.681735313752666161057902627363
81,81_0,RUNNING,Sobol,GenerationStep_0,,,2466,114,165,3378,21,74,311,0.181848962065763786188909989505,64,0.475403835728764545542901487352
82,82_0,RUNNING,Sobol,GenerationStep_0,,,491,318,283,1020,187,132,4,0.360445010416209687953426055174,238,0.100268321594223386306055090245
83,83_0,RUNNING,Sobol,GenerationStep_0,,,3137,212,56,3892,496,355,378,0.789481063296087137715062453935,328,0.805424434695392821303983055259
84,84_0,RUNNING,Sobol,GenerationStep_0,,,2513,311,218,4781,412,447,96,0.413496090963482887392643760904,172,0.270155783601105203839409796274
85,85_0,RUNNING,Sobol,GenerationStep_0,,,1115,157,445,153,220,37,476,0.979738874089904121511551693402,270,0.570727293299511106994259534986
86,86_0,RUNNING,Sobol,GenerationStep_0,,,1837,392,78,3107,75,228,218,0.557832458831369892848783820227,408,0.947863659542053982320908289694
87,87_0,RUNNING,Sobol,GenerationStep_0,,,4527,13,336,2112,266,256,336,0.128737046157009898950107640303,29,0.148360440982505670248770002217
88,88_0,RUNNING,Sobol,GenerationStep_0,,,4836,348,96,456,55,340,89,0.450337971323169772297489998891,145,0.849011438569054033287386573647
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
⚠ Job 3669948 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669948/3669948_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669948 ON i7011 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669948.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669949 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669949/3669949_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669949 ON i7011 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669949.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669950 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669950/3669950_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669950 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669950.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669951 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669951/3669951_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669951 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669951.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669952 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669952/3669952_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669952 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669952.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669954 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669954/3669954_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669954 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669954.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669955 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669955/3669955_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669955 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***



⚠ Job 3669956 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669956/3669956_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669956 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669956.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669958 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669958/3669958_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669958 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669958.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669959 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669959/3669959_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669959 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669959.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669961 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669961/3669961_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669961 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***



⚠ Job 3669962 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669962/3669962_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669962 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669962.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669963 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669963/3669963_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669963 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669963.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669964 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669964/3669964_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669964 ON i7010 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***



⚠ Job 3669966 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669966/3669966_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669966 ON i7009 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669966.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669967 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669967/3669967_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669967 ON i7009 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669967.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669968 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669968/3669968_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669968 ON i7009 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669968.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669974 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669974/3669974_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669974 ON i7009 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669974.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669975 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669975/3669975_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669975 ON i7009 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669975.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3669976 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669976/3669976_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669976 ON i7009 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***



⚠ Job 3669978 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3669978/3669978_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3669978 ON i7009 CANCELLED AT 2025-03-28T23:07:09 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3669978.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678151 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678151/3678151_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678151 ON i7145 CANCELLED AT 2025-03-29T04:14:15 DUE TO TIME LIMIT ***



⚠ Job 3678154 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678154/3678154_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678154 ON i7181 CANCELLED AT 2025-03-29T04:14:16 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678154.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678159 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678159/3678159_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678159 ON i7095 CANCELLED AT 2025-03-29T04:14:15 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678159.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678171 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678171/3678171_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678171 ON i7089 CANCELLED AT 2025-03-29T04:14:45 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678171.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678176 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678176/3678176_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678176 ON i7050 CANCELLED AT 2025-03-29T04:14:45 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678176.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678183 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678183/3678183_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678183 ON i7019 CANCELLED AT 2025-03-29T04:14:45 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678183.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678189 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678189/3678189_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678189 ON i7139 CANCELLED AT 2025-03-29T04:15:15 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678189.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678194 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678194/3678194_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678194 ON i7018 CANCELLED AT 2025-03-29T04:15:15 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678194.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678206 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678206/3678206_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678206 ON i7167 CANCELLED AT 2025-03-29T04:15:15 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678206.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678208 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678208/3678208_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678208 ON i7024 CANCELLED AT 2025-03-29T04:15:15 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678208.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678217 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678217/3678217_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678217 ON i7162 CANCELLED AT 2025-03-29T04:15:45 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678217.batch. Some of the step tasks have been OOM Killed.



⚠ Job 3678223 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678223/3678223_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678223 ON i7017 CANCELLED AT 2025-03-29T04:15:45 DUE TO TIME LIMIT ***



⚠ Job 3678225 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/MCDDD_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/3678225/3678225_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3678225 ON i7015 CANCELLED AT 2025-03-29T04:15:45 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=3678225.batch. Some of the step tasks have been OOM Killed.



It seems like the search space was exhausted. You were able to get 0% of the jobs you requested (got: 1, submitted: 60, failed: 59, requested: 500) after main ran

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
			
			<h1>&nbsp;Args Overview</h1>
			<h2>Arguments Overview:                                                                                           </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value                                                                                                                                                    </th></tr></thead><tbody><tr><td> config_yaml</td><td>None                                                                                                                                                     </td></tr><tr><td> config_toml</td><td>None                                                                                                                                                     </td></tr><tr><td> config_json</td><td>None                                                                                                                                                     </td></tr><tr><td> num_random_steps</td><td>20                                                                                                                                                       </td></tr><tr><td> max_eval</td><td>500                                                                                                                                                      </td></tr><tr><td> run_program</td><td>[[&#039;bW9kdWxlIGxvYWQgR0NDY29yZS8xMC4zLjAgUHl0aG9uICYmIHNvdXJjZSAvZGF0YS9ob3JzZS93cy9zNDEyMjQ4NS1jb21wUGVyZkREL2JlbmNobWFyay92ZW52L2Jpbi9hY3RpdmF0ZSAmJiBw&hellip; </td></tr><tr><td> experiment_name</td><td>MCDDD_Electricity_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;epochs&#039;, &#039;range&#039;, &#039;1&#039;, &#039;500&#039;, &#039;int&#039;], [&#039;sub_window_num&#039;, &#039;range&#039;, &#039;1&#039;, &#039;500&#039;, &#039;int&#039;], [&#039;n&#039;,     </td></tr><tr><td></td><td>&#039;range&#039;, &#039;1&#039;, &#039;5000&#039;, &#039;int&#039;], [&#039;k&#039;, &#039;range&#039;, &#039;1&#039;, &#039;500&#039;, &#039;int&#039;], [&#039;eps_small&#039;, &#039;range&#039;, &#039;1&#039;, &#039;500&#039;, &#039;int&#039;], [&#039;eps_big&#039;, &#039;range&#039;, &#039;1&#039;, &#039;500&#039;, &#039;int&#039;],     </td></tr><tr><td></td><td>[&#039;temperature&#039;, &#039;range&#039;, &#039;0.01&#039;, &#039;0.999&#039;, &#039;float&#039;], [&#039;lamb&#039;, &#039;range&#039;, &#039;1&#039;, &#039;500&#039;, &#039;int&#039;], [&#039;percentile&#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> maximize</td><td>False                                                                                                                                                    </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                                                     </td></tr><tr><td> stderr_to_stdout</td><td>False                                                                                                                                                    </td></tr><tr><td> run_dir</td><td>runs                                                                                                                                                     </td></tr><tr><td> seed</td><td>None                                                                                                                                                     </td></tr><tr><td> decimalrounding</td><td>12                                                                                                                                                       </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                                                    </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                                                    </td></tr><tr><td> model</td><td>BOTORCH_MODULAR                                                                                                                                          </td></tr><tr><td> gridsearch</td><td>False                                                                                                                                                    </td></tr><tr><td> occ</td><td>False                                                                                                                                                    </td></tr><tr><td> show_sixel_scatter</td><td>False                                                                                                                                                    </td></tr><tr><td> show_sixel_general</td><td>False                                                                                                                                                    </td></tr><tr><td> show_sixel_trial_index_result</td><td>False                                                                                                                                                    </td></tr><tr><td> follow</td><td>False                                                                                                                                                    </td></tr><tr><td> send_anonymized_usage_stats</td><td>True                                                                                                                                                     </td></tr><tr><td> ui_url</td><td>None                                                                                                                                                     </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                                                           </td></tr><tr><td> exclude</td><td>None                                                                                                                                                     </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                                                        </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                                                        </td></tr><tr><td> max_nr_of_zero_results</td><td>50                                                                                                                                                       </td></tr><tr><td> disable_search_space_exhaustion_detection</td><td>False                                                                                                                                                    </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                                                    </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                                                     </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                                                    </td></tr><tr><td> live_share</td><td>False                                                                                                                                                    </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                                                    </td></tr><tr><td> workdir</td><td>False                                                                                                                                                    </td></tr><tr><td> max_parallelism</td><td>max_eval_times_thousand_plus_thousand                                                                                                                    </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                                                   </td></tr><tr><td> result_names</td><td>[&#039;ACCURACY=max&#039;, &#039;RUNTIME=min&#039;]                                                                                                                          </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                                                        </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                                                     </td></tr><tr><td> generate_all_jobs_at_once</td><td>True                                                                                                                                                     </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                                                     </td></tr><tr><td> num_parallel_jobs</td><td>30                                                                                                                                                       </td></tr><tr><td> worker_timeout</td><td>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">1743187847.5126288,30,0,0
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1743218060.1607952,30,13,43
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1743218330.3433285,30,13,43
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1743218399.7751284,30,13,43
1743218405.4853814,30,13,43
1743218411.2942472,30,13,43
1743218417.1470313,30,13,43
1743218422.8329804,30,13,43
1743218428.4730668,30,13,43
1743218434.262016,30,13,43
1743218440.1265173,30,13,43
1743218445.9675636,30,13,43
1743218452.039781,30,13,43
1743218457.8019714,30,13,43
1743218463.555023,30,13,43
1743218484.2134087,30,13,43
1743218499.9528239,30,12,40
1743218515.6279073,30,11,37
1743218531.294048,30,10,33
1743218546.9569385,30,9,30
1743218562.7123454,30,8,27
1743218578.3003733,30,7,23
1743218594.175522,30,6,20
1743218609.8177166,30,5,17
1743218625.6091068,30,4,13
1743218641.189805,30,3,10
1743218656.7427466,30,2,7
1743218672.4718046,30,1,3
1743218673.6526513,30,0,0
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</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;CPU/RAM-Usage (main)</h1>
			<div class='invert_in_dark_mode' id='mainWorkerCPURAM'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<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
1743187847,597.65234375,34.0
1743187847,597.65234375,34.6
1743187847,597.94921875,34.4
1743187847,597.94921875,35.2
1743187847,597.94921875,41.7
1743187847,597.94921875,33.6
1743187847,597.94921875,29.0
1743187918,612.14453125,33.9
1743187918,612.1484375,29.6
1743187918,612.1484375,35.0
1743187918,612.1484375,25.0
1743200476,626.3359375,33.5
1743200476,626.3359375,34.3
1743200477,626.3359375,34.2
1743200477,626.3359375,38.6
1743218685,642.296875,31.7
1743218685,642.296875,28.1
1743218685,642.296875,27.8
1743218685,642.296875,29.4
1743218689,646.19921875,27.8
1743218689,646.19921875,26.5
1743218689,646.19921875,27.4
1743218689,646.19921875,23.5
1743218694,646.24609375,27.0
1743218694,646.24609375,22.2
1743218694,646.24609375,27.7
1743218694,646.24609375,34.2
1743218699,646.24609375,27.0
1743218699,646.24609375,25.0
1743218699,646.24609375,32.7
1743218699,646.24609375,30.8
1743218703,646.24609375,27.7
1743218703,646.24609375,34.2
1743218703,646.24609375,27.7
1743218703,646.24609375,27.3
1743218707,646.24609375,28.2
1743218707,646.24609375,36.8
1743218707,646.24609375,28.1
1743218707,646.24609375,30.1
1743218712,646.25,27.9
1743218712,646.25,29.2
1743218712,646.25,27.9
1743218712,646.25,20.6
1743218716,646.265625,27.7
1743218716,646.265625,27.9
1743218716,646.265625,27.4
1743218716,646.265625,27.5
1743218721,647.01953125,27.9
1743218721,647.01953125,26.4
1743218721,647.01953125,27.9
1743218721,647.01953125,27.4
1743218725,646.171875,28.4
1743218725,646.171875,21.2
1743218725,646.171875,28.2
1743218725,646.171875,34.3
1743218730,646.17578125,28.3
1743218730,646.17578125,28.9
1743218730,646.17578125,28.6
1743218730,646.17578125,22.6
1743218734,646.23828125,28.3
1743218734,646.23828125,28.2
1743218734,646.23828125,28.0
1743218734,646.23828125,28.3
1743218739,646.23828125,28.3
1743218739,646.23828125,27.9
1743218739,646.23828125,28.9
1743218739,646.23828125,28.3
1743218743,646.24609375,28.5
1743218743,646.24609375,20.0
1743218743,646.24609375,28.7
1743218743,646.24609375,23.3
1743218747,646.2265625,28.4
1743218747,646.2265625,35.0
1743218747,646.2265625,28.9
1743218747,646.2265625,36.2
1743218751,646.30078125,28.5
1743218751,646.30078125,27.1
1743218751,646.30078125,28.9
1743218751,646.30078125,31.4
1743218756,646.234375,28.5
1743218756,646.234375,27.7
1743218756,646.234375,28.7
1743218756,646.234375,35.9
1743218760,646.29296875,28.6
1743218760,646.29296875,28.4
1743218760,646.29296875,28.6
1743218760,646.29296875,30.3
1743218765,646.27734375,28.4
1743218765,646.27734375,27.6
1743218765,646.27734375,29.4
1743218765,646.27734375,20.0
1743218769,646.2890625,28.2
1743218769,646.2890625,28.6
1743218769,646.2890625,28.3
1743218769,646.2890625,35.7
1743218773,646.28125,28.5
1743218773,646.28125,30.3
1743218773,646.28125,28.0
1743218773,646.28125,27.9
1743218777,646.29296875,28.5
1743218777,646.29296875,28.6
1743218777,646.29296875,28.5
1743218777,646.29296875,35.9
1743218782,647.03515625,28.1
1743218782,647.03515625,20.0
1743218782,647.03515625,28.3
1743218782,647.03515625,20.7
1743218786,647.05078125,27.8
1743218786,647.05078125,29.6
1743218786,647.05078125,27.9
1743218786,647.05078125,21.9
1743218790,647.06640625,27.8
1743218790,647.06640625,27.9
1743218790,647.06640625,27.8
1743218790,647.06640625,22.6
1743218795,646.21484375,27.9
1743218795,646.21484375,32.6
1743218795,646.21484375,28.4
1743218795,646.21484375,25.7
1743218799,647.06640625,27.7
1743218799,647.06640625,22.2
1743218799,647.06640625,27.6
1743218799,647.06640625,23.3
1743218803,647.06640625,27.7
1743218803,647.06640625,28.3
1743218803,647.06640625,27.8
1743218803,647.06640625,27.5
1743218808,647.2890625,27.8
1743218808,647.2890625,26.4
1743218808,647.2890625,27.3
1743218808,647.2890625,27.6
1743218812,647.2890625,27.8
1743218812,647.2890625,35.0
1743218812,647.2890625,28.0
1743218812,647.2890625,28.6
1743218816,647.2890625,27.8
1743218816,647.2890625,20.0
1743218816,647.2890625,27.8
1743218816,647.2890625,36.6
1743218821,647.2890625,27.9
1743218821,647.2890625,27.3
1743218821,647.2890625,27.5
1743218821,647.2890625,30.2
1743218825,647.2890625,27.8
1743218825,647.2890625,20.6
1743218825,647.2890625,28.0
1743218825,647.2890625,21.9
1743218830,647.2890625,27.8
1743218830,647.2890625,32.5
1743218830,647.2890625,27.6
1743218830,647.2890625,29.6
1743218834,647.2890625,27.8
1743218834,647.2890625,32.5
1743218834,647.2890625,28.0
1743218834,647.2890625,26.8
1743218838,647.328125,27.9
1743218838,647.328125,26.9
1743218838,647.328125,28.7
1743218838,647.328125,25.0
1743218842,647.328125,27.9
1743218842,647.328125,36.6
1743218842,647.328125,28.0
1743218842,647.328125,33.3
1743218847,647.328125,27.8
1743218847,647.328125,25.0
1743218847,647.328125,27.3
1743218847,647.328125,27.2
1743218851,647.328125,27.9
1743218851,647.328125,27.1
1743218851,647.328125,27.2
1743218851,647.328125,27.5
1743218855,647.328125,27.8
1743218855,647.328125,27.7
1743218855,647.328125,27.4
1743218855,647.328125,21.2
1743218860,647.328125,27.7
1743218860,647.328125,28.0
1743218860,647.328125,27.8
1743218860,647.328125,27.1
1743218865,647.328125,27.3
1743218865,647.328125,27.3
1743218865,647.328125,27.5
1743218865,647.328125,26.9
1743218869,647.37109375,27.3
1743218869,647.37109375,26.8
1743218869,647.37109375,26.7
1743218869,647.37109375,28.9
1743218874,647.37109375,27.3
1743218874,647.37109375,26.5
1743218874,647.37109375,27.2
1743218874,647.37109375,27.8
1743218878,647.37109375,27.2
1743218878,647.37109375,27.7
1743218878,647.37109375,28.0
1743218878,647.37109375,24.6
1743218882,647.37109375,27.4
1743218882,647.37109375,21.9
1743218882,647.37109375,28.1
1743218882,647.37109375,19.5
1743218886,647.37109375,27.3
1743218886,647.37109375,27.5
1743218886,647.37109375,27.7
1743218886,647.37109375,28.0
1743218890,647.37109375,27.3
1743218891,647.37109375,27.1
1743218891,647.37109375,26.8
1743218891,647.37109375,22.9
1743218895,647.37109375,27.3
1743218895,647.37109375,34.9
1743218895,647.37109375,27.9
1743218895,647.37109375,25.0
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
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			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Exit-Codes</h1>
			<div class="invert_in_dark_mode" id="plotExitCodesPieChart"></div>
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