Experiment overview

Experiment parameters

Number of evaluations

Result names and types

Last progressbar status

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trial_index,arm_name,trial_status,generation_node,RESULT,epochs,lr,bsz,da,db
0,0_0,COMPLETED,SOBOL,0.363157894736842123961650941055,215,0.038512815356254580245742857869,22,84,73
1,1_0,COMPLETED,SOBOL,0.363157894736842123961650941055,108,0.015938022834248839754156534809,4,36,97
2,2_0,COMPLETED,SOBOL,0.363157894736842123961650941055,41,0.033111474132165315265030614000,26,68,121
3,3_0,COMPLETED,SOBOL,0.210526315789473672523968161840,293,0.009077209090813994490920535441,15,30,29
4,4_0,COMPLETED,SOBOL,0.363157894736842123961650941055,253,0.025985500807873904843825485500,9,17,15
5,5_0,COMPLETED,SOBOL,0.342105263157894690095872647362,72,0.003965534205548465127022517152,21,61,135
6,6_0,COMPLETED,SOBOL,0.363157894736842123961650941055,149,0.045156125262379651075228537138,13,46,109
7,7_0,COMPLETED,SOBOL,0.273684210526315752076698117889,182,0.021533131316304209013079429269,31,100,61
8,8_0,COMPLETED,SOBOL,0.368421052631578982428095514479,170,0.034938093863427638341434544600,13,63,86
9,9_0,COMPLETED,SOBOL,0.221052631578947389456857308687,136,0.012622092448174953432937783759,30,14,66
10,10_0,COMPLETED,SOBOL,0.363157894736842123961650941055,49,0.041858533131890002243480353172,8,92,37
11,11_0,COMPLETED,SOBOL,0.205263157894736814057523588417,228,0.017939504372887313254913976834,20,54,131
12,12_0,COMPLETED,SOBOL,0.363157894736842123961650941055,278,0.046981061799451710736530429813,29,38,143
13,13_0,COMPLETED,SOBOL,0.352631578947368407028761794209,26,0.025079322202131153207727010113,17,82,25
14,14_0,COMPLETED,SOBOL,0.363157894736842123961650941055,86,0.029329911922104660165766532032,24,21,51
15,15_0,COMPLETED,SOBOL,0.226315789473684247923301882111,193,0.005968699668534100527539365544,7,76,101
16,16_0,COMPLETED,SOBOL,0.363157894736842123961650941055,208,0.030516341128386560710428199172,30,49,32
17,17_0,COMPLETED,SOBOL,0.294736842105263185942476411583,96,0.005547521986998617954389700913,11,96,118
18,18_0,COMPLETED,SOBOL,0.363157894736842123961650941055,12,0.049626962931826716640681951276,18,20,91
19,19_0,COMPLETED,SOBOL,0.357894736842105265495206367632,268,0.023198671134188771775219706228,8,57,79
20,20_0,COMPLETED,SOBOL,0.363157894736842123961650941055,245,0.042966082393191759591921652373,17,70,55
21,21_0,COMPLETED,SOBOL,0.331578947368421084185285963031,61,0.017597955047152936264298617175,28,27,115
22,22_0,COMPLETED,SOBOL,0.363157894736842123961650941055,119,0.037648669738322496081117662925,5,86,138
23,23_0,COMPLETED,SOBOL,0.289473684210526327476031838160,158,0.010677515048533679081765868091,24,33,12
24,24_0,COMPLETED,SOBOL,0.363157894736842123961650941055,181,0.045506554391235118361969114176,5,25,125
25,25_0,COMPLETED,SOBOL,0.294736842105263185942476411583,144,0.020416704442352058557208493994,23,72,43
26,26_0,COMPLETED,SOBOL,0.257894736842105287699666860135,73,0.027938956550322475991254833616,16,42,69
27,27_0,COMPLETED,SOBOL,0.400000000000000022204460492503,258,0.001246079257689416443233287879,26,78,84
28,28_0,COMPLETED,SOBOL,0.363157894736842123961650941055,290,0.033529567996039989774548217838,21,94,104
29,29_0,COMPLETED,SOBOL,0.342105263157894690095872647362,33,0.007893864432349802229271773513,11,52,48
30,30_0,COMPLETED,SOBOL,0.363157894736842123961650941055,112,0.040390381009317938287850324741,32,65,19
31,31_0,COMPLETED,SOBOL,0.363157894736842123961650941055,222,0.013295204789377745163703181674,14,12,149
32,32_0,COMPLETED,SOBOL,0.363157894736842123961650941055,225,0.032002595848403862788256191152,9,34,59
33,33_0,COMPLETED,SOBOL,0.305263157894736791853063095914,115,0.009432429737411440057170963769,19,89,111
34,34_0,COMPLETED,SOBOL,0.363157894736842123961650941055,29,0.038851442229002719486175010388,12,28,133
35,35_0,COMPLETED,SOBOL,0.363157894736842123961650941055,287,0.014821803461760284237325180356,30,72,17
36,36_0,COMPLETED,SOBOL,0.363157894736842123961650941055,264,0.043980000988580292275997862816,25,56,27
37,37_0,COMPLETED,SOBOL,0.363157894736842123961650941055,79,0.021955595032311977371497491163,6,18,123
38,38_0,COMPLETED,SOBOL,0.363157894736842123961650941055,138,0.026400439435616138150741960544,28,96,95
39,39_0,COMPLETED,SOBOL,0.310526315789473650319507669337,176,0.002773006135597825237704139312,18,47,75
40,40_0,COMPLETED,SOBOL,0.363157894736842123961650941055,164,0.041442097591236237708045564432,25,10,99
41,41_0,COMPLETED,SOBOL,0.363157894736842123961650941055,124,0.019133526252582671450808149416,15,65,53
42,42_0,COMPLETED,SOBOL,0.363157894736842123961650941055,56,0.036112724327482283170898114122,23,50,23
43,43_0,COMPLETED,SOBOL,0.357894736842105265495206367632,239,0.012201125645078719772484987516,4,93,145
44,44_0,COMPLETED,SOBOL,0.363157894736842123961650941055,271,0.028992775801569226068465923163,13,80,129
45,45_0,COMPLETED,SOBOL,0.394736842105263163738015919080,15,0.007083419207483530009861194543,31,43,39
46,46_0,COMPLETED,SOBOL,0.363157894736842123961650941055,93,0.048091439916752284911005688173,10,75,64
47,47_0,COMPLETED,SOBOL,0.326315789473684225718841389607,205,0.024722610666416587610338950753,20,25,89
48,48_0,COMPLETED,SOBOL,0.363157894736842123961650941055,197,0.048504673126153648177183441703,15,98,10
49,49_0,COMPLETED,SOBOL,0.363157894736842123961650941055,90,0.023543377521447840516888305729,27,45,141
50,50_0,COMPLETED,BOTORCH_MODULAR,0.210526315789473672523968161840,270,0.007496462857620130905422772827,13,54,37
51,51_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,206,0.018580191968796171131383943020,24,64,149
52,52_0,COMPLETED,BOTORCH_MODULAR,0.210526315789473672523968161840,228,0.019205537068883341694780497733,22,60,114
53,53_0,COMPLETED,BOTORCH_MODULAR,0.263157894736842146166111433558,264,0.007645076494056082284933584248,11,17,15
54,54_0,COMPLETED,BOTORCH_MODULAR,0.215789473684210530990412735264,293,0.007622216190276850933393859577,12,81,64
55,55_0,COMPLETED,BOTORCH_MODULAR,0.273684210526315752076698117889,256,0.007374182263328240248545508706,14,55,105
56,56_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,209,0.017730677120134034907561471073,24,29,139
57,57_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,249,0.018956831262533280213489206290,21,100,117
58,58_0,COMPLETED,BOTORCH_MODULAR,0.226315789473684247923301882111,210,0.018134186355114399746835118776,24,80,21
59,59_0,COMPLETED,BOTORCH_MODULAR,0.205263157894736814057523588417,238,0.019186158888778025166654828126,23,30,150
60,60_0,COMPLETED,BOTORCH_MODULAR,0.252631578947368429233222286712,299,0.007199924535050441359862460899,13,15,17
61,61_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,171,0.015949576969283528471432731521,27,57,114
62,62_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,291,0.007658675793229817105323142812,18,75,33
63,63_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,249,0.019005052508357052343246351711,18,44,96
64,64_0,COMPLETED,BOTORCH_MODULAR,0.268421052631578893610253544466,255,0.007460554260177230771755585437,11,94,118
65,65_0,COMPLETED,BOTORCH_MODULAR,0.242105263157894712300333139865,285,0.007556581272546691527280948719,11,19,108
66,66_0,COMPLETED,BOTORCH_MODULAR,0.289473684210526327476031838160,261,0.007478775160301866405110349234,17,17,88
67,67_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,240,0.007874477593012513612635849825,12,85,26
68,68_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,217,0.018926354419972594295140666532,24,26,71
69,69_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,256,0.018861427196533941952338864212,20,10,75
70,70_0,COMPLETED,BOTORCH_MODULAR,0.278947368421052610543142691313,215,0.006812226295170613864227160406,15,53,80
71,71_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,233,0.006217614722099881405248389399,12,100,10
72,72_0,COMPLETED,BOTORCH_MODULAR,0.205263157894736814057523588417,297,0.008624809966880779207865082014,10,19,15
73,73_0,COMPLETED,BOTORCH_MODULAR,0.284210526315789469009587264736,262,0.007519851997140713888156948741,6,71,42
74,74_0,COMPLETED,BOTORCH_MODULAR,0.289473684210526327476031838160,215,0.018478349194916202785643477569,26,63,143
75,75_0,COMPLETED,BOTORCH_MODULAR,0.278947368421052610543142691313,98,0.012617606914665400671959893941,32,81,79
76,76_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,299,0.007932413782095484866552226322,16,91,69
77,77_0,COMPLETED,BOTORCH_MODULAR,0.252631578947368429233222286712,210,0.006899569415199882649325502371,12,15,18
78,78_0,COMPLETED,BOTORCH_MODULAR,0.236842105263157853833888566442,218,0.019329759901366812963052765895,22,99,138
79,79_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,29,0.029301884808002092580592190529,8,27,44
80,80_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,196,0.006609580120544020394313111666,12,10,150
81,81_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,285,0.007115790633921306382325688844,14,16,98
82,82_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,266,0.018200081982399928665072863510,17,27,145
83,83_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,276,0.005756367011277506787192415061,7,46,13
84,84_0,COMPLETED,BOTORCH_MODULAR,0.231578947368421106389746455534,236,0.018191428847488880227167840076,17,96,138
85,85_0,COMPLETED,BOTORCH_MODULAR,0.210526315789473672523968161840,185,0.016867976402973518940120456477,26,99,18
86,86_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,249,0.005782727719504192863408942316,12,61,15
87,87_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,245,0.019063230595536842515436148915,24,99,145
88,88_0,COMPLETED,BOTORCH_MODULAR,0.321052631578947367252396816184,145,0.014934565492241777193149765424,30,83,38
89,89_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,149,0.014741442716167682883132705740,32,38,133
90,90_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,78,0.028540945551311831113183714592,8,29,115
91,91_0,COMPLETED,BOTORCH_MODULAR,0.252631578947368429233222286712,238,0.019753098301503273920287639953,23,40,51
92,92_0,COMPLETED,BOTORCH_MODULAR,0.273684210526315752076698117889,187,0.017269271781021992839821876942,28,45,109
93,93_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,193,0.017432097536603498311169602175,24,83,125
94,94_0,COMPLETED,BOTORCH_MODULAR,0.352631578947368407028761794209,258,0.007888561976878491824316519399,23,45,20
95,95_0,COMPLETED,BOTORCH_MODULAR,0.300000000000000044408920985006,128,0.013237760994526394722758944056,32,86,150
96,96_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,214,0.019517726077636510934043556631,20,34,135
97,97_0,COMPLETED,BOTORCH_MODULAR,0.226315789473684247923301882111,235,0.018694706024350585954474368577,21,94,41
98,98_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,199,0.018454427148746507109100534194,23,10,135
99,99_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,269,0.018613859487177048662731593254,20,91,15
100,100_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.012480270788173824722533389320,19,10,62
101,101_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.012824551963462507697677494889,18,100,10
102,102_0,COMPLETED,BOTORCH_MODULAR,0.205263157894736814057523588417,300,0.011026625377822970794361445712,17,10,150
103,103_0,COMPLETED,BOTORCH_MODULAR,0.273684210526315752076698117889,300,0.001000000000000000020816681712,4,10,125
104,104_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,300,0.011656794357371746614915331008,17,100,150
105,105_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.013126491186955498505217754257,15,10,53
106,106_0,COMPLETED,BOTORCH_MODULAR,0.347368421052631548562317220785,12,0.020788641162496158953931768565,32,10,10
107,107_0,COMPLETED,BOTORCH_MODULAR,0.242105263157894712300333139865,300,0.013415054619962967288882005334,20,10,10
108,108_0,COMPLETED,BOTORCH_MODULAR,0.426315789473684203514380897104,300,0.001000000000000000020816681712,4,72,38
109,109_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,300,0.013122758870489303895112698228,28,100,143
110,110_0,COMPLETED,BOTORCH_MODULAR,0.278947368421052610543142691313,300,0.019467937238025409540931320862,31,10,40
111,111_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.001000000000000000020816681712,12,74,150
112,112_0,COMPLETED,BOTORCH_MODULAR,0.205263157894736814057523588417,300,0.010115099163588854927486870849,21,10,150
113,113_0,COMPLETED,BOTORCH_MODULAR,0.205263157894736814057523588417,300,0.006418381700557950104990556639,4,23,133
114,114_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,143,0.014528886353966676686644277083,21,10,10
115,115_0,COMPLETED,BOTORCH_MODULAR,0.336842105263157942651730536454,59,0.001000000000000000020816681712,4,44,46
116,116_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,300,0.012985621954074081166319309943,14,100,21
117,117_0,COMPLETED,BOTORCH_MODULAR,0.273684210526315752076698117889,300,0.004200623124357016555108224054,9,100,150
118,118_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,300,0.016215385120840201255143497860,26,100,34
119,119_0,COMPLETED,BOTORCH_MODULAR,0.378947368421052588338682198810,300,0.001000000000000000020816681712,4,100,144
120,120_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.012006915962153377752663629963,22,100,10
121,121_0,COMPLETED,BOTORCH_MODULAR,0.331578947368421084185285963031,300,0.010649232891532295700032229036,9,100,131
122,122_0,COMPLETED,BOTORCH_MODULAR,0.226315789473684247923301882111,300,0.011382068036042502709448420717,16,10,10
123,123_0,COMPLETED,BOTORCH_MODULAR,0.347368421052631548562317220785,70,0.014681492020967154207844451719,19,100,10
124,124_0,COMPLETED,BOTORCH_MODULAR,0.484210526315789424600666279730,300,0.001000000000000000020816681712,14,100,10
125,125_0,COMPLETED,BOTORCH_MODULAR,0.257894736842105287699666860135,289,0.013927838814426345484531744034,7,94,46
126,126_0,COMPLETED,BOTORCH_MODULAR,0.257894736842105287699666860135,300,0.010212014219220862110137915124,22,28,10
127,127_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,10,0.050000000000000002775557561563,32,13,15
128,128_0,COMPLETED,BOTORCH_MODULAR,0.315789473684210508785952242761,300,0.001000000000000000020816681712,10,10,150
129,129_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.010770196782853468792096052198,11,10,122
130,130_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,10,0.050000000000000002775557561563,32,100,150
131,131_0,COMPLETED,BOTORCH_MODULAR,0.236842105263157853833888566442,255,0.014015335446575414093950406880,32,10,13
132,132_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,52,0.013835659574635993454561067040,20,10,146
133,133_0,COMPLETED,BOTORCH_MODULAR,0.321052631578947367252396816184,300,0.001000000000000000020816681712,4,10,10
134,134_0,COMPLETED,BOTORCH_MODULAR,0.305263157894736791853063095914,11,0.005054453714667562526374755549,9,64,148
135,135_0,COMPLETED,BOTORCH_MODULAR,0.236842105263157853833888566442,128,0.016058153151853687967687278615,16,10,10
136,136_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,300,0.016906189011529692417523662584,24,10,10
137,137_0,COMPLETED,BOTORCH_MODULAR,0.231578947368421106389746455534,173,0.014558425672782379992065138197,19,96,140
138,138_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,119,0.001000000000000000020816681712,4,18,150
139,139_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,298,0.016132348518329869824228239850,7,17,61
140,140_0,COMPLETED,BOTORCH_MODULAR,0.226315789473684247923301882111,300,0.011974093389918611177180629568,25,10,24
141,141_0,COMPLETED,BOTORCH_MODULAR,0.326315789473684225718841389607,84,0.001802655256010054531101705066,10,98,16
142,142_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.014084919345043725794064393142,19,10,150
143,143_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.011567346853173413046000916893,4,10,10
144,144_0,COMPLETED,BOTORCH_MODULAR,0.336842105263157942651730536454,300,0.007573017790446202879284243181,32,100,56
145,145_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,300,0.012164148696572516308855860245,21,100,126
146,146_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,10,0.014163568188661252930660161553,32,49,10
147,147_0,COMPLETED,BOTORCH_MODULAR,0.215789473684210530990412735264,300,0.008114591441693562792747407286,15,100,150
148,148_0,COMPLETED,BOTORCH_MODULAR,0.215789473684210530990412735264,300,0.012513265941276736220588716719,25,10,150
149,149_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,287,0.022880173036728228275205054842,32,100,16

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Download »job_infos.csv« as file

start_time,end_time,run_time,program_string,epochs,lr,bsz,da,db,RESULT,exit_code,signal,hostname,OO_Info_SLURM_JOB_ID
1747745370,1747745389,19,bash /data/horse/ws/pwinkler-oopt/run.sh 26 0.025079322202131153 17 82 25,26,0.025079322202131153,17,82,25,0.3526315789473684,0,None,n1673,17185402
1747745371,1747745390,19,bash /data/horse/ws/pwinkler-oopt/run.sh 86 0.02932991192210466 24 21 51,86,0.02932991192210466,24,21,51,0.3631578947368421,0,None,n1673,17185403
1747745367,1747745392,25,bash /data/horse/ws/pwinkler-oopt/run.sh 170 0.03493809386342764 13 63 86,170,0.03493809386342764,13,63,86,0.368421052631579,0,None,n1675,17185399
1747745367,1747745392,25,bash /data/horse/ws/pwinkler-oopt/run.sh 136 0.012622092448174953 30 14 66,136,0.012622092448174953,30,14,66,0.2210526315789474,0,None,n1675,17185398
1747745367,1747745392,25,bash /data/horse/ws/pwinkler-oopt/run.sh 293 0.009077209090813994 15 30 29,293,0.009077209090813994,15,30,29,0.21052631578947367,0,None,n1675,17185400
1747745370,1747745395,25,bash /data/horse/ws/pwinkler-oopt/run.sh 228 0.017939504372887313 20 54 131,228,0.017939504372887313,20,54,131,0.20526315789473681,0,None,n1673,17185404
1747745371,1747745396,25,bash /data/horse/ws/pwinkler-oopt/run.sh 278 0.04698106179945171 29 38 143,278,0.04698106179945171,29,38,143,0.3631578947368421,0,None,n1678,17185394
1747745373,1747745397,24,bash /data/horse/ws/pwinkler-oopt/run.sh 149 0.04515612526237965 13 46 109,149,0.04515612526237965,13,46,109,0.3631578947368421,0,None,n1677,17185397
1747745372,1747745402,30,bash /data/horse/ws/pwinkler-oopt/run.sh 253 0.025985500807873905 9 17 15,253,0.025985500807873905,9,17,15,0.3631578947368421,0,None,n1678,17185396
1747745378,1747745403,25,bash /data/horse/ws/pwinkler-oopt/run.sh 72 0.003965534205548465 21 61 135,72,0.003965534205548465,21,61,135,0.3421052631578947,0,None,n1674,17185401
1747745390,1747745408,18,bash /data/horse/ws/pwinkler-oopt/run.sh 41 0.033111474132165315 26 68 121,41,0.033111474132165315,26,68,121,0.3631578947368421,0,None,n1671,17185409
1747745390,1747745408,18,bash /data/horse/ws/pwinkler-oopt/run.sh 182 0.02153313131630421 31 100 61,182,0.02153313131630421,31,100,61,0.27368421052631575,0,None,n1671,17185410
1747745399,1747745411,12,bash /data/horse/ws/pwinkler-oopt/run.sh 112 0.04039038100931794 32 65 19,112,0.04039038100931794,32,65,19,0.3631578947368421,0,None,n1671,17185462
1747745399,1747745411,12,bash /data/horse/ws/pwinkler-oopt/run.sh 245 0.04296608239319176 17 70 55,245,0.04296608239319176,17,70,55,0.3631578947368421,0,None,n1671,17185461
1747745390,1747745414,24,bash /data/horse/ws/pwinkler-oopt/run.sh 193 0.0059686996685341005 7 76 101,193,0.0059686996685341005,7,76,101,0.22631578947368425,0,None,n1671,17185411
1747745403,1747745415,12,bash /data/horse/ws/pwinkler-oopt/run.sh 144 0.02041670444235206 23 72 43,144,0.02041670444235206,23,72,43,0.2947368421052632,0,None,n1671,17185460
1747745392,1747745417,25,bash /data/horse/ws/pwinkler-oopt/run.sh 49 0.04185853313189 8 92 37,49,0.04185853313189,8,92,37,0.3631578947368421,0,None,n1672,17185405
1747745392,1747745417,25,bash /data/horse/ws/pwinkler-oopt/run.sh 215 0.03851281535625458 22 84 73,215,0.03851281535625458,22,84,73,0.3631578947368421,0,None,n1672,17185408
1747745399,1747745417,18,bash /data/horse/ws/pwinkler-oopt/run.sh 268 0.023198671134188772 8 57 79,268,0.023198671134188772,8,57,79,0.35789473684210527,0,None,n1671,17185459
1747745407,1747745426,19,bash /data/horse/ws/pwinkler-oopt/run.sh 158 0.010677515048533679 24 33 12,158,0.010677515048533679,24,33,12,0.2894736842105263,0,None,n1669,17185465
1747745407,1747745426,19,bash /data/horse/ws/pwinkler-oopt/run.sh 73 0.027938956550322476 16 42 69,73,0.027938956550322476,16,42,69,0.2578947368421053,0,None,n1669,17185469
1747745407,1747745426,19,bash /data/horse/ws/pwinkler-oopt/run.sh 33 0.007893864432349802 11 52 48,33,0.007893864432349802,11,52,48,0.3421052631578947,0,None,n1669,17185467
1747745407,1747745426,19,bash /data/horse/ws/pwinkler-oopt/run.sh 258 0.0012460792576894164 26 78 84,258,0.0012460792576894164,26,78,84,0.4,0,None,n1669,17185466
1747745392,1747745429,37,bash /data/horse/ws/pwinkler-oopt/run.sh 108 0.01593802283424884 4 36 97,108,0.01593802283424884,4,36,97,0.3631578947368421,0,None,n1672,17185407
1747745407,1747745432,25,bash /data/horse/ws/pwinkler-oopt/run.sh 119 0.037648669738322496 5 86 138,119,0.037648669738322496,5,86,138,0.3631578947368421,0,None,n1669,17185464
1747745407,1747745438,31,bash /data/horse/ws/pwinkler-oopt/run.sh 181 0.04550655439123512 5 25 125,181,0.04550655439123512,5,25,125,0.3631578947368421,0,None,n1669,17185463
1747745428,1747745441,13,bash /data/horse/ws/pwinkler-oopt/run.sh 61 0.017597955047152936 28 27 115,61,0.017597955047152936,28,27,115,0.3315789473684211,0,None,n1674,17185472
1747745428,1747745441,13,bash /data/horse/ws/pwinkler-oopt/run.sh 12 0.04962696293182672 18 20 91,12,0.04962696293182672,18,20,91,0.3631578947368421,0,None,n1673,17185474
1747745428,1747745441,13,bash /data/horse/ws/pwinkler-oopt/run.sh 96 0.005547521986998618 11 96 118,96,0.005547521986998618,11,96,118,0.2947368421052632,0,None,n1673,17185473
1747745433,1747745445,12,bash /data/horse/ws/pwinkler-oopt/run.sh 290 0.03352956799603999 21 94 104,290,0.03352956799603999,21,94,104,0.3631578947368421,0,None,n1675,17185471
1747745429,1747745447,18,bash /data/horse/ws/pwinkler-oopt/run.sh 222 0.013295204789377745 14 12 149,222,0.013295204789377745,14,12,149,0.3631578947368421,0,None,n1675,17185470
1747745430,1747745449,19,bash /data/horse/ws/pwinkler-oopt/run.sh 208 0.03051634112838656 30 49 32,208,0.03051634112838656,30,49,32,0.3631578947368421,0,None,n1672,17185475
1747745459,1747745471,12,bash /data/horse/ws/pwinkler-oopt/run.sh 138 0.026400439435616138 28 96 95,138,0.026400439435616138,28,96,95,0.3631578947368421,0,None,n1671,17185516
1747745459,1747745471,12,bash /data/horse/ws/pwinkler-oopt/run.sh 124 0.01913352625258267 15 65 53,124,0.01913352625258267,15,65,53,0.3631578947368421,0,None,n1671,17185515
1747745459,1747745471,12,bash /data/horse/ws/pwinkler-oopt/run.sh 287 0.014821803461760284 30 72 17,287,0.014821803461760284,30,72,17,0.3631578947368421,0,None,n1671,17185512
1747745459,1747745471,12,bash /data/horse/ws/pwinkler-oopt/run.sh 164 0.04144209759123624 25 10 99,164,0.04144209759123624,25,10,99,0.3631578947368421,0,None,n1671,17185511
1747745461,1747745473,12,bash /data/horse/ws/pwinkler-oopt/run.sh 29 0.03885144222900272 12 28 133,29,0.03885144222900272,12,28,133,0.3631578947368421,0,None,n1672,17185508
1747745463,1747745476,13,bash /data/horse/ws/pwinkler-oopt/run.sh 264 0.04398000098858029 25 56 27,264,0.04398000098858029,25,56,27,0.3631578947368421,0,None,n1671,17185514
1747745459,1747745477,18,bash /data/horse/ws/pwinkler-oopt/run.sh 225 0.03200259584840386 9 34 59,225,0.03200259584840386,9,34,59,0.3631578947368421,0,None,n1671,17185513
1747745459,1747745477,18,bash /data/horse/ws/pwinkler-oopt/run.sh 205 0.024722610666416588 20 25 89,205,0.024722610666416588,20,25,89,0.3263157894736842,0,None,n1671,17185517
1747745466,1747745484,18,bash /data/horse/ws/pwinkler-oopt/run.sh 93 0.048091439916752285 10 75 64,93,0.048091439916752285,10,75,64,0.3631578947368421,0,None,n1672,17185509
1747745490,1747745502,12,bash /data/horse/ws/pwinkler-oopt/run.sh 15 0.00708341920748353 31 43 39,15,0.00708341920748353,31,43,39,0.39473684210526316,0,None,n1669,17185519
1747745490,1747745502,12,bash /data/horse/ws/pwinkler-oopt/run.sh 176 0.0027730061355978252 18 47 75,176,0.0027730061355978252,18,47,75,0.31052631578947365,0,None,n1669,17185522
1747745494,1747745506,12,bash /data/horse/ws/pwinkler-oopt/run.sh 56 0.03611272432748228 23 50 23,56,0.03611272432748228,23,50,23,0.3631578947368421,0,None,n1669,17185521
1747745494,1747745506,12,bash /data/horse/ws/pwinkler-oopt/run.sh 115 0.00943242973741144 19 89 111,115,0.00943242973741144,19,89,111,0.3052631578947368,0,None,n1669,17185525
1747745494,1747745506,12,bash /data/horse/ws/pwinkler-oopt/run.sh 79 0.021955595032311977 6 18 123,79,0.021955595032311977,6,18,123,0.3631578947368421,0,None,n1669,17185523
1747745490,1747745508,18,bash /data/horse/ws/pwinkler-oopt/run.sh 271 0.028992775801569226 13 80 129,271,0.028992775801569226,13,80,129,0.3631578947368421,0,None,n1669,17185524
1747745469,1747745512,43,bash /data/horse/ws/pwinkler-oopt/run.sh 239 0.01220112564507872 4 93 145,239,0.01220112564507872,4,93,145,0.35789473684210527,0,None,n1670,17185518
1747745498,1747745516,18,bash /data/horse/ws/pwinkler-oopt/run.sh 90 0.02354337752144784 27 45 141,90,0.02354337752144784,27,45,141,0.3631578947368421,0,None,n1667,17185547
1747745498,1747745522,24,bash /data/horse/ws/pwinkler-oopt/run.sh 197 0.04850467312615365 15 98 10,197,0.04850467312615365,15,98,10,0.3631578947368421,0,None,n1667,17185546
1747746573,1747746598,25,bash /data/horse/ws/pwinkler-oopt/run.sh 256 0.00737418226332824 14 55 105,256,0.00737418226332824,14,55,105,0.27368421052631575,0,None,n1699,17186380
1747746573,1747746598,25,bash /data/horse/ws/pwinkler-oopt/run.sh 285 0.0075565812725466915 11 19 108,285,0.0075565812725466915,11,19,108,0.2421052631578947,0,None,n1699,17186382
1747746574,1747746598,24,bash /data/horse/ws/pwinkler-oopt/run.sh 171 0.01594957696928353 27 57 114,171,0.01594957696928353,27,57,114,0.2210526315789474,0,None,n1701,17186379
1747746574,1747746598,24,bash /data/horse/ws/pwinkler-oopt/run.sh 270 0.007496462857620131 13 54 37,270,0.007496462857620131,13,54,37,0.21052631578947367,0,None,n1701,17186378
1747746576,1747746601,25,bash /data/horse/ws/pwinkler-oopt/run.sh 210 0.0181341863551144 24 80 21,210,0.0181341863551144,24,80,21,0.22631578947368425,0,None,n1691,17186388
1747746576,1747746601,25,bash /data/horse/ws/pwinkler-oopt/run.sh 206 0.01858019196879617 24 64 149,206,0.01858019196879617,24,64,149,0.3631578947368421,0,None,n1691,17186387
1747746576,1747746607,31,bash /data/horse/ws/pwinkler-oopt/run.sh 249 0.01895683126253328 21 100 117,249,0.01895683126253328,21,100,117,0.35789473684210527,0,None,n1691,17186385
1747746576,1747746607,31,bash /data/horse/ws/pwinkler-oopt/run.sh 249 0.019005052508357052 18 44 96,249,0.019005052508357052,18,44,96,0.3631578947368421,0,None,n1691,17186384
1747746576,1747746613,37,bash /data/horse/ws/pwinkler-oopt/run.sh 255 0.007460554260177231 11 94 118,255,0.007460554260177231,11,94,118,0.2684210526315789,0,None,n1691,17186389
1747746576,1747746613,37,bash /data/horse/ws/pwinkler-oopt/run.sh 264 0.007645076494056082 11 17 15,264,0.007645076494056082,11,17,15,0.26315789473684215,0,None,n1691,17186386
1747746599,1747746618,19,bash /data/horse/ws/pwinkler-oopt/run.sh 209 0.017730677120134035 24 29 139,209,0.017730677120134035,24,29,139,0.3631578947368421,0,None,n1684,17186397
1747746599,1747746624,25,bash /data/horse/ws/pwinkler-oopt/run.sh 228 0.01920553706888334 22 60 114,228,0.01920553706888334,22,60,114,0.21052631578947367,0,None,n1684,17186392
1747746599,1747746624,25,bash /data/horse/ws/pwinkler-oopt/run.sh 238 0.019186158888778025 23 30 150,238,0.019186158888778025,23,30,150,0.20526315789473681,0,None,n1684,17186394
1747746599,1747746624,25,bash /data/horse/ws/pwinkler-oopt/run.sh 291 0.007658675793229817 18 75 33,291,0.007658675793229817,18,75,33,0.2210526315789474,0,None,n1684,17186396
1747746615,1747746628,13,bash /data/horse/ws/pwinkler-oopt/run.sh 210 0.006899569415199883 12 15 18,210,0.006899569415199883,12,15,18,0.25263157894736843,0,None,n1684,17186492
1747746616,1747746628,12,bash /data/horse/ws/pwinkler-oopt/run.sh 217 0.018926354419972594 24 26 71,217,0.018926354419972594,24,26,71,0.24736842105263157,0,None,n1699,17186485
1747746616,1747746628,12,bash /data/horse/ws/pwinkler-oopt/run.sh 29 0.029301884808002093 8 27 44,29,0.029301884808002093,8,27,44,0.3631578947368421,0,None,n1673,17186495
1747746616,1747746629,13,bash /data/horse/ws/pwinkler-oopt/run.sh 218 0.019329759901366813 22 99 138,218,0.019329759901366813,22,99,138,0.23684210526315785,0,None,n1678,17186494
1747746599,1747746630,31,bash /data/horse/ws/pwinkler-oopt/run.sh 299 0.007199924535050441 13 15 17,299,0.007199924535050441,13,15,17,0.25263157894736843,0,None,n1684,17186395
1747746603,1747746633,30,bash /data/horse/ws/pwinkler-oopt/run.sh 293 0.007622216190276851 12 81 64,293,0.007622216190276851,12,81,64,0.21578947368421053,0,None,n1686,17186390
1747746616,1747746634,18,bash /data/horse/ws/pwinkler-oopt/run.sh 256 0.018861427196533942 20 10 75,256,0.018861427196533942,20,10,75,0.35789473684210527,0,None,n1699,17186484
1747746617,1747746635,18,bash /data/horse/ws/pwinkler-oopt/run.sh 261 0.007478775160301866 17 17 88,261,0.007478775160301866,17,17,88,0.2894736842105263,0,None,n1691,17186488
1747746617,1747746642,25,bash /data/horse/ws/pwinkler-oopt/run.sh 233 0.006217614722099881 12 100 10,233,0.006217614722099881,12,100,10,0.3631578947368421,0,None,n1691,17186486
1747746623,1747746647,24,bash /data/horse/ws/pwinkler-oopt/run.sh 240 0.007874477593012514 12 85 26,240,0.007874477593012514,12,85,26,0.3631578947368421,0,None,n1691,17186491
1747746617,1747746648,31,bash /data/horse/ws/pwinkler-oopt/run.sh 297 0.00862480996688078 10 19 15,297,0.00862480996688078,10,19,15,0.20526315789473681,0,None,n1691,17186490
1747746627,1747746651,24,bash /data/horse/ws/pwinkler-oopt/run.sh 215 0.018478349194916203 26 63 143,215,0.018478349194916203,26,63,143,0.2894736842105263,0,None,n1683,17186493
1747746645,1747746657,12,bash /data/horse/ws/pwinkler-oopt/run.sh 98 0.0126176069146654 32 81 79,98,0.0126176069146654,32,81,79,0.2789473684210526,0,None,n1699,17186496
1747746645,1747746663,18,bash /data/horse/ws/pwinkler-oopt/run.sh 285 0.007115790633921306 14 16 98,285,0.007115790633921306,14,16,98,0.2210526315789474,0,None,n1684,17186503
1747746646,1747746665,19,bash /data/horse/ws/pwinkler-oopt/run.sh 215 0.006812226295170614 15 53 80,215,0.006812226295170614,15,53,80,0.2789473684210526,0,None,n1691,17186497
1747746651,1747746670,19,bash /data/horse/ws/pwinkler-oopt/run.sh 196 0.00660958012054402 12 10 150,196,0.00660958012054402,12,10,150,0.3631578947368421,0,None,n1691,17186500
1747746651,1747746676,25,bash /data/horse/ws/pwinkler-oopt/run.sh 299 0.007932413782095485 16 91 69,299,0.007932413782095485,16,91,69,0.24736842105263157,0,None,n1691,17186501
1747746646,1747746677,31,bash /data/horse/ws/pwinkler-oopt/run.sh 262 0.007519851997140714 6 71 42,262,0.007519851997140714,6,71,42,0.28421052631578947,0,None,n1686,17186502
1747746736,1747746748,12,bash /data/horse/ws/pwinkler-oopt/run.sh 78 0.02854094555131183 8 29 115,78,0.02854094555131183,8,29,115,0.35789473684210527,0,None,n1684,17186616
1747746736,1747746748,12,bash /data/horse/ws/pwinkler-oopt/run.sh 145 0.014934565492241777 30 83 38,145,0.014934565492241777,30,83,38,0.32105263157894737,0,None,n1684,17186620
1747746736,1747746748,12,bash /data/horse/ws/pwinkler-oopt/run.sh 187 0.017269271781021993 28 45 109,187,0.017269271781021993,28,45,109,0.27368421052631575,0,None,n1684,17186618
1747746736,1747746748,12,bash /data/horse/ws/pwinkler-oopt/run.sh 235 0.018694706024350586 21 94 41,235,0.018694706024350586,21,94,41,0.22631578947368425,0,None,n1684,17186621
1747746736,1747746749,13,bash /data/horse/ws/pwinkler-oopt/run.sh 128 0.013237760994526395 32 86 150,128,0.013237760994526395,32,86,150,0.30000000000000004,0,None,n1683,17186622
1747746737,1747746749,12,bash /data/horse/ws/pwinkler-oopt/run.sh 149 0.014741442716167683 32 38 133,149,0.014741442716167683,32,38,133,0.3631578947368421,0,None,n1673,17186626
1747746737,1747746749,12,bash /data/horse/ws/pwinkler-oopt/run.sh 185 0.01686797640297352 26 99 18,185,0.01686797640297352,26,99,18,0.21052631578947367,0,None,n1686,17186615
1747746737,1747746749,12,bash /data/horse/ws/pwinkler-oopt/run.sh 238 0.019753098301503274 23 40 51,238,0.019753098301503274,23,40,51,0.25263157894736843,0,None,n1678,17186624
1747746736,1747746755,19,bash /data/horse/ws/pwinkler-oopt/run.sh 193 0.0174320975366035 24 83 125,193,0.0174320975366035,24,83,125,0.3631578947368421,0,None,n1684,17186617
1747746736,1747746761,25,bash /data/horse/ws/pwinkler-oopt/run.sh 276 0.005756367011277507 7 46 13,276,0.005756367011277507,7,46,13,0.3631578947368421,0,None,n1684,17186619
1747746767,1747746779,12,bash /data/horse/ws/pwinkler-oopt/run.sh 258 0.007888561976878492 23 45 20,258,0.007888561976878492,23,45,20,0.3526315789473684,0,None,n1673,17186631
1747746767,1747746779,12,bash /data/horse/ws/pwinkler-oopt/run.sh 245 0.019063230595536843 24 99 145,245,0.019063230595536843,24,99,145,0.3631578947368421,0,None,n1683,17186629
1747746768,1747746781,13,bash /data/horse/ws/pwinkler-oopt/run.sh 214 0.01951772607763651 20 34 135,214,0.01951772607763651,20,34,135,0.2210526315789474,0,None,n1684,17186628
1747746767,1747746785,18,bash /data/horse/ws/pwinkler-oopt/run.sh 249 0.005782727719504193 12 61 15,249,0.005782727719504193,12,61,15,0.3631578947368421,0,None,n1673,17186632
1747746767,1747746785,18,bash /data/horse/ws/pwinkler-oopt/run.sh 236 0.01819142884748888 17 96 138,236,0.01819142884748888,17,96,138,0.2315789473684211,0,None,n1678,17186630
1747746774,1747746786,12,bash /data/horse/ws/pwinkler-oopt/run.sh 266 0.01820008198239993 17 27 145,266,0.01820008198239993,17,27,145,0.2210526315789474,0,None,n1684,17186627
1747746797,1747746809,12,bash /data/horse/ws/pwinkler-oopt/run.sh 199 0.018454427148746507 23 10 135,199,0.018454427148746507,23,10,135,0.3631578947368421,0,None,n1678,17186690
1747746797,1747746810,13,bash /data/horse/ws/pwinkler-oopt/run.sh 269 0.01861385948717705 20 91 15,269,0.01861385948717705,20,91,15,0.3631578947368421,0,None,n1673,17186692
1747749627,1747749646,19,bash /data/horse/ws/pwinkler-oopt/run.sh 143 0.014528886353966677 21 10 10,143,0.014528886353966677,21,10,10,0.3631578947368421,0,None,n1709,17189112
1747749627,1747749647,20,bash /data/horse/ws/pwinkler-oopt/run.sh 12 0.02078864116249616 32 10 10,12,0.02078864116249616,32,10,10,0.34736842105263155,0,None,n1708,17189116
1747749627,1747749647,20,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.01946793723802541 31 10 40,300,0.01946793723802541,31,10,40,0.2789473684210526,0,None,n1708,17189117
1747749627,1747749652,25,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.013415054619962967 20 10 10,300,0.013415054619962967,20,10,10,0.2421052631578947,0,None,n1709,17189110
1747749627,1747749652,25,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.012824551963462508 18 100 10,300,0.012824551963462508,18,100,10,0.3631578947368421,0,None,n1709,17189111
1747749627,1747749653,26,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.010115099163588855 21 10 150,300,0.010115099163588855,21,10,150,0.20526315789473681,0,None,n1708,17189114
1747749627,1747749653,26,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.011656794357371747 17 100 150,300,0.011656794357371747,17,100,150,0.24736842105263157,0,None,n1708,17189113
1747749627,1747749653,26,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.012480270788173825 19 10 62,300,0.012480270788173825,19,10,62,0.3631578947368421,0,None,n1708,17189118
1747749629,1747749654,25,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.01102662537782297 17 10 150,300,0.01102662537782297,17,10,150,0.20526315789473681,0,None,n1711,17189109
1747749627,1747749659,32,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.001 12 74 150,300,0.001,12,74,150,0.3631578947368421,0,None,n1708,17189115
1747749646,1747749665,19,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.013126491186955499 15 10 53,300,0.013126491186955499,15,10,53,0.3631578947368421,0,None,n1708,17189120
1747749655,1747749679,24,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.013122758870489304 28 100 143,300,0.013122758870489304,28,100,143,0.2210526315789474,0,None,n1707,17189125
1747749655,1747749679,24,bash /data/horse/ws/pwinkler-oopt/run.sh 59 0.001 4 44 46,59,0.001,4,44,46,0.33684210526315794,0,None,n1707,17189122
1747749646,1747749683,37,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.001 4 72 38,300,0.001,4,72,38,0.4263157894736842,0,None,n1708,17189119
1747749655,1747749698,43,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.001 4 10 125,300,0.001,4,10,125,0.27368421052631575,0,None,n1707,17189121
1747749655,1747749698,43,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.00641838170055795 4 23 133,300,0.00641838170055795,4,23,133,0.20526315789473681,0,None,n1707,17189123
1747749739,1747749751,12,bash /data/horse/ws/pwinkler-oopt/run.sh 255 0.014015335446575414 32 10 13,255,0.014015335446575414,32,10,13,0.23684210526315785,0,None,n1709,17189141
1747749739,1747749757,18,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.011382068036042503 16 10 10,300,0.011382068036042503,16,10,10,0.22631578947368425,0,None,n1709,17189140
1747749739,1747749757,18,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.001 14 100 10,300,0.001,14,100,10,0.4842105263157894,0,None,n1709,17189139
1747749739,1747749758,19,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.012985621954074081 14 100 21,300,0.012985621954074081,14,100,21,0.35789473684210527,0,None,n1711,17189137
1747749740,1747749759,19,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.010212014219220862 22 28 10,300,0.010212014219220862,22,28,10,0.2578947368421053,0,None,n1708,17189143
1747749740,1747749759,19,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.012006915962153378 22 100 10,300,0.012006915962153378,22,100,10,0.3631578947368421,0,None,n1708,17189145
1747749739,1747749763,24,bash /data/horse/ws/pwinkler-oopt/run.sh 289 0.013927838814426345 7 94 46,289,0.013927838814426345,7,94,46,0.2578947368421053,0,None,n1709,17189142
1747749745,1747749763,18,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.010770196782853469 11 10 122,300,0.010770196782853469,11,10,122,0.3631578947368421,0,None,n1709,17189138
1747749740,1747749765,25,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.010649232891532296 9 100 131,300,0.010649232891532296,9,100,131,0.3315789473684211,0,None,n1708,17189146
1747749740,1747749765,25,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.001 10 10 150,300,0.001,10,10,150,0.3157894736842105,0,None,n1708,17189144
1747749770,1747749782,12,bash /data/horse/ws/pwinkler-oopt/run.sh 10 0.05 32 13 15,10,0.05,32,13,15,0.3631578947368421,0,None,n1708,17189150
1747749770,1747749782,12,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.0162153851208402 26 100 34,300,0.0162153851208402,26,100,34,0.24736842105263157,0,None,n1708,17189149
1747749770,1747749783,13,bash /data/horse/ws/pwinkler-oopt/run.sh 10 0.05 32 100 150,10,0.05,32,100,150,0.3631578947368421,0,None,n1711,17189147
1747749770,1747749789,19,bash /data/horse/ws/pwinkler-oopt/run.sh 70 0.014681492020967154 19 100 10,70,0.014681492020967154,19,100,10,0.34736842105263155,0,None,n1708,17189151
1747749770,1747749795,25,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.0042006231243570166 9 100 150,300,0.0042006231243570166,9,100,150,0.27368421052631575,0,None,n1708,17189153
1747749770,1747749807,37,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.001 4 100 144,300,0.001,4,100,144,0.3789473684210526,0,None,n1708,17189152
1747749869,1747749875,6,bash /data/horse/ws/pwinkler-oopt/run.sh 11 0.0050544537146675625 9 64 148,11,0.0050544537146675625,9,64,148,0.3052631578947368,0,None,n1709,17189166
1747749864,1747749876,12,bash /data/horse/ws/pwinkler-oopt/run.sh 128 0.016058153151853688 16 10 10,128,0.016058153151853688,16,10,10,0.23684210526315785,0,None,n1709,17189163
1747749864,1747749876,12,bash /data/horse/ws/pwinkler-oopt/run.sh 10 0.014163568188661253 32 49 10,10,0.014163568188661253,32,49,10,0.3631578947368421,0,None,n1709,17189167
1747749864,1747749876,12,bash /data/horse/ws/pwinkler-oopt/run.sh 173 0.01455842567278238 19 96 140,173,0.01455842567278238,19,96,140,0.2315789473684211,0,None,n1709,17189164
1747749865,1747749877,12,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.016906189011529692 24 10 10,300,0.016906189011529692,24,10,10,0.24736842105263157,0,None,n1708,17189168
1747749864,1747749882,18,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.008114591441693563 15 100 150,300,0.008114591441693563,15,100,150,0.21578947368421053,0,None,n1709,17189165
1747749865,1747749883,18,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.012164148696572516 21 100 126,300,0.012164148696572516,21,100,126,0.2210526315789474,0,None,n1708,17189169
1747749865,1747749889,24,bash /data/horse/ws/pwinkler-oopt/run.sh 119 0.001 4 18 150,119,0.001,4,18,150,0.3631578947368421,0,None,n1711,17189161
1747749873,1747749892,19,bash /data/horse/ws/pwinkler-oopt/run.sh 52 0.013835659574635993 20 10 146,52,0.013835659574635993,20,10,146,0.35789473684210527,0,None,n1713,17189160
1747749864,1747749901,37,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.001 4 10 10,300,0.001,4,10,10,0.32105263157894737,0,None,n1709,17189162
1747749895,1747749907,12,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.011974093389918611 25 10 24,300,0.011974093389918611,25,10,24,0.22631578947368425,0,None,n1709,17189175
1747749895,1747749907,12,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.014084919345043726 19 10 150,300,0.014084919345043726,19,10,150,0.3631578947368421,0,None,n1709,17189174
1747749900,1747749912,12,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.007573017790446203 32 100 56,300,0.007573017790446203,32,100,56,0.33684210526315794,0,None,n1709,17189172
1747749900,1747749912,12,bash /data/horse/ws/pwinkler-oopt/run.sh 84 0.0018026552560100545 10 98 16,84,0.0018026552560100545,10,98,16,0.3263157894736842,0,None,n1709,17189170
1747749900,1747749924,24,bash /data/horse/ws/pwinkler-oopt/run.sh 298 0.01613234851832987 7 17 61,298,0.01613234851832987,7,17,61,0.3631578947368421,0,None,n1709,17189171
1747749900,1747749930,30,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.011567346853173413 4 10 10,300,0.011567346853173413,4,10,10,0.3631578947368421,0,None,n1709,17189173
1747749944,1747749975,31,bash /data/horse/ws/pwinkler-oopt/run.sh 300 0.012513265941276736 25 10 150,300,0.012513265941276736,25,10,150,0.21578947368421053,0,None,n1719,17189178
1747749958,1747749982,24,bash /data/horse/ws/pwinkler-oopt/run.sh 287 0.02288017303672823 32 100 16,287,0.02288017303672823,32,100,16,0.3631578947368421,0,None,n1713,17189179

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⠹ Loading base modules...
⠋ Loading rich_argparse...
⠋ Loading torch...
⠋ Loading numpy...
⠋ Loading ax...
⠋ Loading botorch...
⠋ Loading submitit...
⠋ Loading ax logger...
Run-UUID: 78aad4b0-ecec-45cb-8ad7-a6b8e2393861
 .d88888b.                      d8b .d88888b.         888    .d8888b.  
d88P" "Y88b                     Y8Pd88P" "Y88b        888   d88P  Y88b 
888     888                        888     888        888          888 
888     88888888b.d88b. 88888b. 888888     88888888b. 888888     .d88P 
888     888888 "888 "88b888 "88b888888     888888 "88b888    .od888P"  
888     888888  888  888888  888888888     888888  888888   d88P"      
Y88b. .d88P888  888  888888  888888Y88b. .d88P888 d88PY88b. 888"       
 "Y88888P" 888  888  888888  888888 "Y88888P" 88888P"  "Y888888888888  
                                              888                      
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⠋ Checking if has random steps...
⠋ Writing worker creation log...
omniopt --partition=barnard --experiment_name=vergl_botorch --mem_gb=10 --time=720 --worker_timeout=30 --max_eval=2000 --num_parallel_jobs=50 --gpus=0 --num_random_steps=50 --follow --live_share --send_anonymized_usage_stats --checkout_to_latest_tested_version --result_names RESULT=min --run_program=YmFzaCAvZGF0YS9ob3JzZS93cy9wd2lua2xlci1vb3B0L3J1bi5zaCAlKGVwb2NocykgJShscikgJShic3opICUoZGEpICUoZGIp --cpus_per_task=1 --nodes_per_job=1 --generate_all_jobs_at_once --revert_to_random_when_seemingly_exhausted --model=BOTORCH_MODULAR --n_estimators_randomforest=100 --run_mode=local --decimalrounding=4 --occ_type=euclid --main_process_gb=8 --max_nr_of_zero_results=50 --pareto_front_confidence=1 --slurm_signal_delay_s=0 --max_failed_jobs=0 --parameter epochs range 10 300 int false --parameter lr range 0.001 0.05 float false --parameter bsz range 4 32 int false --parameter da range 10 100 int false --parameter db range 10 150 int false --ui_url 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
⠋ Disabling logging...
⠋ Saving state files...
Run-folder: runs/vergl_botorch/6
⠋ Parsing parameters...
⠋ Initializing ax_client...
⠋ Getting experiment parameters...
⠋ Setting orchestrator...
You have 2 CPUs available for the main process. No CUDA devices found. Generation strategy: SOBOL for 50 steps and then BOTORCH_MODULAR for 1950 steps.
Run-Program: bash /data/horse/ws/pwinkler-oopt/run.sh %(epochs) %(lr) %(bsz) %(da) %(db)
                       Experiment parameters                       
┏━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name   ┃ Type  ┃ Lower bound ┃ Upper bound ┃ Type  ┃ Log Scale? ┃
┡━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ epochs │ range │ 10          │ 300         │ int   │ No         │
│ lr     │ range │ 0.001       │ 0.05        │ float │ No         │
│ bsz    │ range │ 4           │ 32          │ int   │ No         │
│ da     │ range │ 10          │ 100         │ int   │ No         │
│ db     │ range │ 10          │ 150         │ int   │ No         │
└────────┴───────┴─────────────┴─────────────┴───────┴────────────┘
        Result-Names         
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT      │         min │
└─────────────┴─────────────┘
See https://imageseg.scads.de/omniax/share?user_id=pwinkler&experiment_name=vergl_botorch&run_nr=2 for live-results.

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BoTorchGenerator, best RESULT: 0.20526315789473681, completed 33 = ∑33/50, new result: 0.3631578947368421                     :   6%|▒░░░░░░░░░| 117/2000 1:26:13<11:31:37, 22.04s/it]
BoTorchGenerator, best RESULT: 0.20526315789473681, completed 27 = ∑27/50, new result: 0.3157894736842105                     :   6%|▒░░░░░░░░░| 124/2000 1:28:19<10:18:09, 19.77s/it]ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 377: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 26: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 26: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 26: 
invalid start byte
ERROR in line ('<@beartype(__main__.get_line_info) at 0x7ffefc3611b0>', ':', 11,
':', 'get_line_info'): 'utf-8' codec can't decode byte 0xfc in position 16: 
invalid start byte

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2025-05-20 14:45:10: SOBOL, Started OmniOpt2 run...
2025-05-20 14:45:15: SOBOL, getting new HP set #1/50
2025-05-20 14:45:18: Sobol, getting new HP set #2/50 | ETA: 15s
2025-05-20 14:45:20: Sobol, getting new HP set #3/50 | ETA: 11s
2025-05-20 14:45:22: Sobol, getting new HP set #4/50 | ETA: 9s 
2025-05-20 14:45:23: Sobol, getting new HP set #5/50 | ETA: 7s 
2025-05-20 14:45:25: Sobol, getting new HP set #6/50 | ETA: 6s 
2025-05-20 14:45:27: Sobol, getting new HP set #7/50 | ETA: 6s 
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2025-05-20 14:45:30: Sobol, getting new HP set #9/50 | ETA: 5s 
2025-05-20 14:45:33: Sobol, getting new HP set #10/50 | ETA: 5s
2025-05-20 14:45:35: Sobol, getting new HP set #11/50 | ETA: 5s
2025-05-20 14:45:36: Sobol, getting new HP set #12/50 | ETA: 5s
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2025-05-20 14:45:42: Sobol, getting new HP set #15/50 | ETA: 4s
2025-05-20 14:45:44: Sobol, getting new HP set #16/50 | ETA: 4s
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2025-05-20 14:45:50: Sobol, getting new HP set #19/50 | ETA: 3s
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2025-05-20 14:45:56: Sobol, getting new HP set #22/50 | ETA: 3s
2025-05-20 14:45:57: Sobol, getting new HP set #23/50 | ETA: 3s
2025-05-20 14:46:00: Sobol, getting new HP set #24/50 | ETA: 3s
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2025-05-20 14:46:04: Sobol, getting new HP set #26/50 | ETA: 3s
2025-05-20 14:46:06: Sobol, getting new HP set #27/50 | ETA: 2s
2025-05-20 14:46:07: Sobol, getting new HP set #28/50 | ETA: 2s
2025-05-20 14:46:09: Sobol, getting new HP set #29/50 | ETA: 2s
2025-05-20 14:46:11: Sobol, getting new HP set #30/50 | ETA: 2s
2025-05-20 14:46:13: Sobol, getting new HP set #31/50 | ETA: 2s
2025-05-20 14:46:15: Sobol, getting new HP set #32/50 | ETA: 2s
2025-05-20 14:46:16: Sobol, getting new HP set #33/50 | ETA: 2s
2025-05-20 14:46:18: Sobol, getting new HP set #34/50 | ETA: 2s
2025-05-20 14:46:20: Sobol, getting new HP set #35/50 | ETA: 1s
2025-05-20 14:46:22: Sobol, getting new HP set #36/50 | ETA: 1s
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2025-05-20 14:46:26: Sobol, getting new HP set #38/50 | ETA: 1s
2025-05-20 14:46:28: Sobol, getting new HP set #39/50 | ETA: 1s
2025-05-20 14:46:29: Sobol, getting new HP set #40/50 | ETA: 1s
2025-05-20 14:46:31: Sobol, getting new HP set #41/50 | ETA: 1s
2025-05-20 14:46:33: Sobol, getting new HP set #42/50 | ETA: 1s
2025-05-20 14:46:35: Sobol, getting new HP set #43/50 | ETA: 0s
2025-05-20 14:46:38: Sobol, getting new HP set #44/50 | ETA: 0s
2025-05-20 14:46:39: Sobol, getting new HP set #45/50 | ETA: 0s
2025-05-20 14:46:41: Sobol, getting new HP set #46/50 | ETA: 0s
2025-05-20 14:46:43: Sobol, getting new HP set #47/50 | ETA: 0s
2025-05-20 14:46:45: Sobol, getting new HP set #48/50 | ETA: 0s
2025-05-20 14:46:46: Sobol, getting new HP set #49/50 | ETA: 0s
2025-05-20 14:46:49: Sobol, getting new HP set #50/50 | ETA: 0s
2025-05-20 14:46:51: Sobol, eval start                         
2025-05-20 14:46:53: Sobol, eval start                         
2025-05-20 14:46:55: Sobol, eval start                         
2025-05-20 14:46:57: Sobol, eval start                         
2025-05-20 14:46:59: Sobol, eval start                         
2025-05-20 14:47:01: Sobol, eval start                         
2025-05-20 14:47:03: Sobol, eval start                         
2025-05-20 14:47:05: Sobol, eval start                         
2025-05-20 14:47:08: Sobol, eval start                         
2025-05-20 14:47:10: Sobol, eval start                         
2025-05-20 14:47:12: Sobol, eval start                         
2025-05-20 14:47:13: Sobol, eval start                         
2025-05-20 14:47:15: Sobol, eval start                         
2025-05-20 14:47:17: Sobol, eval start                         
2025-05-20 14:47:19: Sobol, eval start                         
2025-05-20 14:47:20: Sobol, eval start                         
2025-05-20 14:47:24: Sobol, eval start                         
2025-05-20 14:47:26: Sobol, eval start                         
2025-05-20 14:47:27: Sobol, eval start                         
2025-05-20 14:47:29: Sobol, eval start                         
2025-05-20 14:47:31: Sobol, eval start                         
2025-05-20 14:47:33: Sobol, eval start                         
2025-05-20 14:47:35: Sobol, eval start                         
2025-05-20 14:47:36: Sobol, eval start                         
2025-05-20 14:47:38: Sobol, eval start                         
2025-05-20 14:47:40: Sobol, eval start                         
2025-05-20 14:47:41: Sobol, eval start                         
2025-05-20 14:47:44: Sobol, eval start                         
2025-05-20 14:47:45: Sobol, eval start                         
2025-05-20 14:47:47: Sobol, eval start                         
2025-05-20 14:47:49: Sobol, eval start                         
2025-05-20 14:47:51: Sobol, eval start                         
2025-05-20 14:47:53: Sobol, eval start                         
2025-05-20 14:47:54: Sobol, eval start                         
2025-05-20 14:47:56: Sobol, eval start                         
2025-05-20 14:47:58: Sobol, eval start                         
2025-05-20 14:48:00: Sobol, eval start                         
2025-05-20 14:48:02: Sobol, eval start                         
2025-05-20 14:48:03: Sobol, eval start                         
2025-05-20 14:48:05: Sobol, eval start                         
2025-05-20 14:48:07: Sobol, eval start                         
2025-05-20 14:48:09: Sobol, eval start                         
2025-05-20 14:48:10: Sobol, eval start                         
2025-05-20 14:48:12: Sobol, eval start                         
2025-05-20 14:48:14: Sobol, eval start                         
2025-05-20 14:48:16: Sobol, eval start                         
2025-05-20 14:48:18: Sobol, eval start                         
2025-05-20 14:48:19: Sobol, eval start                         
2025-05-20 14:48:21: Sobol, eval start                         
2025-05-20 14:48:23: Sobol, eval start                         
2025-05-20 14:48:25: Sobol, starting new job                   
2025-05-20 14:48:25: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:27: Sobol, starting new job                   
2025-05-20 14:48:45: Sobol, unknown 8 = ∑8/50, started new job 
2025-05-20 14:48:45: Sobol, unknown 9 = ∑9/50, started new job 
2025-05-20 14:48:45: Sobol, unknown 8 = ∑8/50, started new job 
2025-05-20 14:48:46: Sobol, unknown 11 = ∑11/50, started new job
2025-05-20 14:48:46: Sobol, unknown 12 = ∑12/50, started new job
2025-05-20 14:48:46: Sobol, unknown 10 = ∑10/50, started new job
2025-05-20 14:48:46: Sobol, unknown 13 = ∑13/50, started new job
2025-05-20 14:48:46: Sobol, unknown 9 = ∑9/50, started new job  
2025-05-20 14:48:46: Sobol, unknown 14 = ∑14/50, started new job
2025-05-20 14:48:47: Sobol, unknown 16 = ∑16/50, started new job
2025-05-20 14:48:47: Sobol, unknown 16 = ∑16/50, started new job
2025-05-20 14:48:48: Sobol, unknown 16 = ∑16/50, started new job
2025-05-20 14:48:48: Sobol, unknown 16 = ∑16/50, started new job
2025-05-20 14:48:48: Sobol, unknown 16 = ∑16/50, started new job
2025-05-20 14:48:48: Sobol, unknown 16 = ∑16/50, started new job
2025-05-20 14:48:49: Sobol, unknown 16 = ∑16/50, started new job
2025-05-20 14:49:09: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:09: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:09: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:10: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:10: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:12: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:12: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:12: Sobol, running/pending 10/6 = ∑16/50, starting new job
2025-05-20 14:49:33: Sobol, running/unknown 16/8 = ∑24/50, started new job 
2025-05-20 14:49:33: Sobol, running/unknown 16/9 = ∑25/50, started new job 
2025-05-20 14:49:34: Sobol, running/unknown 16/11 = ∑27/50, started new job
2025-05-20 14:49:34: Sobol, running/unknown 16/11 = ∑27/50, started new job
2025-05-20 14:49:34: Sobol, running/unknown 16/11 = ∑27/50, started new job
2025-05-20 14:49:35: Sobol, running/unknown 16/13 = ∑29/50, started new job
2025-05-20 14:49:35: Sobol, running/unknown 16/13 = ∑29/50, started new job
2025-05-20 14:49:35: Sobol, running/pending/unknown 16/14/2 = ∑32/50, started new job
2025-05-20 14:49:35: Sobol, running/pending/unknown 16/14/2 = ∑32/50, started new job
2025-05-20 14:49:36: Sobol, running/unknown 16/13 = ∑29/50, started new job          
2025-05-20 14:49:36: Sobol, running/pending/unknown 16/14/2 = ∑32/50, started new job
2025-05-20 14:49:36: Sobol, running/unknown 16/14 = ∑30/50, started new job          
2025-05-20 14:49:36: Sobol, running/pending/unknown 16/14/2 = ∑32/50, started new job
2025-05-20 14:49:36: Sobol, running/pending/unknown 16/14/2 = ∑32/50, started new job
2025-05-20 14:49:37: Sobol, running/pending/unknown 16/14/2 = ∑32/50, started new job
2025-05-20 14:49:38: Sobol, running/pending/unknown 16/14/2 = ∑32/50, started new job
2025-05-20 14:50:01: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:01: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:01: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:01: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:03: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:03: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:03: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:03: Sobol, completed/running/pending 7/19/6 = ∑32/50, starting new job
2025-05-20 14:50:34: Sobol, completed/running/pending/unknown 24/8/3/5 = ∑40/50, started new job
2025-05-20 14:50:34: Sobol, completed/running/pending/unknown 24/8/3/5 = ∑40/50, started new job
2025-05-20 14:50:34: Sobol, completed/running/pending/unknown 24/8/3/5 = ∑40/50, started new job
2025-05-20 14:50:34: Sobol, completed/running/pending/unknown 24/8/3/9 = ∑44/50, started new job
2025-05-20 14:50:34: Sobol, completed/running/pending/unknown 24/8/3/4 = ∑39/50, started new job
2025-05-20 14:50:34: Sobol, completed/running/pending/unknown 25/7/3/9 = ∑44/50, started new job
2025-05-20 14:50:34: Sobol, completed/running/pending/unknown 25/7/3/9 = ∑44/50, started new job
2025-05-20 14:50:35: Sobol, completed/running/pending/unknown 25/7/3/12 = ∑47/50, started new job
2025-05-20 14:50:35: Sobol, completed/running/pending/unknown 25/7/3/13 = ∑48/50, started new job
2025-05-20 14:50:35: Sobol, completed/running/pending/unknown 25/7/3/13 = ∑48/50, started new job
2025-05-20 14:50:36: Sobol, completed/running/pending/unknown 25/7/3/13 = ∑48/50, started new job
2025-05-20 14:50:36: Sobol, completed/running/pending/unknown 25/7/3/13 = ∑48/50, started new job
2025-05-20 14:50:37: Sobol, completed/running/pending/unknown 25/7/3/13 = ∑48/50, started new job
2025-05-20 14:50:37: Sobol, completed/running/pending/unknown 25/7/3/13 = ∑48/50, started new job
2025-05-20 14:50:38: Sobol, completed/running/pending/unknown 25/7/3/13 = ∑48/50, started new job
2025-05-20 14:50:38: Sobol, completed/running/pending/unknown 25/7/3/13 = ∑48/50, started new job
2025-05-20 14:51:06: Sobol, completed/running/pending 32/10/6 = ∑48/50, starting new job         
2025-05-20 14:51:06: Sobol, completed/running/pending 32/10/6 = ∑48/50, starting new job         
2025-05-20 14:51:12: Sobol, completed/running/pending/unknown 32/10/6/2 = ∑50/50, started new job
2025-05-20 14:51:12: Sobol, completed/running/pending/unknown 32/10/6/2 = ∑50/50, started new job
2025-05-20 14:51:17: Sobol, completed/running/pending 38/4/8 = ∑50/50, new result: 0.3631578947368421
2025-05-20 14:51:28: Sobol, best RESULT: 0.3631578947368421, completed/running/pending 39/2/8 = ∑49/50, new result: 0.3631578947368421
2025-05-20 14:51:40: Sobol, best RESULT: 0.3631578947368421, completed/running 39/9 = ∑48/50, new result: 0.3631578947368421          
2025-05-20 14:51:51: Sobol, best RESULT: 0.3631578947368421, completed/running 38/9 = ∑47/50, new result: 0.2210526315789474          
2025-05-20 14:52:03: Sobol, best RESULT: 0.2210526315789474, completed/running 37/9 = ∑46/50, new result: 0.368421052631579           
2025-05-20 14:52:14: Sobol, best RESULT: 0.2210526315789474, completed 45 = ∑45/50, new result: 0.21052631578947367                   
2025-05-20 14:52:24: Sobol, best RESULT: 0.21052631578947367, completed 44 = ∑44/50, new result: 0.3421052631578947                   
2025-05-20 14:52:34: Sobol, best RESULT: 0.21052631578947367, completed 43 = ∑43/50, new result: 0.3526315789473684                   
2025-05-20 14:52:44: Sobol, best RESULT: 0.21052631578947367, completed 42 = ∑42/50, new result: 0.3631578947368421                   
2025-05-20 14:52:54: Sobol, best RESULT: 0.21052631578947367, completed 41 = ∑41/50, new result: 0.20526315789473681                  
2025-05-20 14:53:05: Sobol, best RESULT: 0.20526315789473681, completed 40 = ∑40/50, new result: 0.3631578947368421                   
2025-05-20 14:53:16: Sobol, best RESULT: 0.20526315789473681, completed 39 = ∑39/50, new result: 0.3631578947368421                   
2025-05-20 14:53:26: Sobol, best RESULT: 0.20526315789473681, completed 38 = ∑38/50, new result: 0.3631578947368421                   
2025-05-20 14:53:38: Sobol, best RESULT: 0.20526315789473681, completed 37 = ∑37/50, new result: 0.3631578947368421                   
2025-05-20 14:53:51: Sobol, best RESULT: 0.20526315789473681, completed 36 = ∑36/50, new result: 0.27368421052631575                  
2025-05-20 14:54:01: Sobol, best RESULT: 0.20526315789473681, completed 35 = ∑35/50, new result: 0.22631578947368425                  
2025-05-20 14:54:13: Sobol, best RESULT: 0.20526315789473681, completed 34 = ∑34/50, new result: 0.35789473684210527                  
2025-05-20 14:54:23: Sobol, best RESULT: 0.20526315789473681, completed 33 = ∑33/50, new result: 0.2947368421052632                   
2025-05-20 14:54:34: Sobol, best RESULT: 0.20526315789473681, completed 32 = ∑32/50, new result: 0.3631578947368421                   
2025-05-20 14:54:44: Sobol, best RESULT: 0.20526315789473681, completed 31 = ∑31/50, new result: 0.3631578947368421                   
2025-05-20 14:54:55: Sobol, best RESULT: 0.20526315789473681, completed 30 = ∑30/50, new result: 0.3631578947368421                   
2025-05-20 14:55:06: Sobol, best RESULT: 0.20526315789473681, completed 29 = ∑29/50, new result: 0.3631578947368421                   
2025-05-20 14:55:16: Sobol, best RESULT: 0.20526315789473681, completed 28 = ∑28/50, new result: 0.2894736842105263                   
2025-05-20 14:55:26: Sobol, best RESULT: 0.20526315789473681, completed 27 = ∑27/50, new result: 0.4                                  
2025-05-20 14:55:37: Sobol, best RESULT: 0.20526315789473681, completed 26 = ∑26/50, new result: 0.3421052631578947                   
2025-05-20 14:55:47: Sobol, best RESULT: 0.20526315789473681, completed 25 = ∑25/50, new result: 0.3631578947368421                   
2025-05-20 14:55:57: Sobol, best RESULT: 0.20526315789473681, completed 24 = ∑24/50, new result: 0.2578947368421053                   
2025-05-20 14:56:08: Sobol, best RESULT: 0.20526315789473681, completed 23 = ∑23/50, new result: 0.3315789473684211                   
2025-05-20 14:56:18: Sobol, best RESULT: 0.20526315789473681, completed 22 = ∑22/50, new result: 0.3631578947368421                   
2025-05-20 14:56:28: Sobol, best RESULT: 0.20526315789473681, completed 21 = ∑21/50, new result: 0.2947368421052632                   
2025-05-20 14:56:39: Sobol, best RESULT: 0.20526315789473681, completed 20 = ∑20/50, new result: 0.3631578947368421                   
2025-05-20 14:56:49: Sobol, best RESULT: 0.20526315789473681, completed 19 = ∑19/50, new result: 0.3631578947368421                   
2025-05-20 14:56:59: Sobol, best RESULT: 0.20526315789473681, completed 18 = ∑18/50, new result: 0.3631578947368421                   
2025-05-20 14:57:25: Sobol, best RESULT: 0.20526315789473681, completed 17 = ∑17/50, new result: 0.3631578947368421                   
2025-05-20 14:57:36: Sobol, best RESULT: 0.20526315789473681, completed 16 = ∑16/50, new result: 0.3631578947368421                   
2025-05-20 14:57:46: Sobol, best RESULT: 0.20526315789473681, completed 15 = ∑15/50, new result: 0.3631578947368421                   
2025-05-20 14:57:57: Sobol, best RESULT: 0.20526315789473681, completed 14 = ∑14/50, new result: 0.3631578947368421                   
2025-05-20 14:58:09: Sobol, best RESULT: 0.20526315789473681, completed 13 = ∑13/50, new result: 0.3631578947368421                   
2025-05-20 14:58:19: Sobol, best RESULT: 0.20526315789473681, completed 12 = ∑12/50, new result: 0.3631578947368421                   
2025-05-20 14:58:29: Sobol, best RESULT: 0.20526315789473681, completed 11 = ∑11/50, new result: 0.3631578947368421                   
2025-05-20 14:58:40: Sobol, best RESULT: 0.20526315789473681, completed 10 = ∑10/50, new result: 0.3263157894736842                   
2025-05-20 14:58:50: Sobol, best RESULT: 0.20526315789473681, completed 9 = ∑9/50, new result: 0.35789473684210527                    
2025-05-20 14:59:02: Sobol, best RESULT: 0.20526315789473681, completed 8 = ∑8/50, new result: 0.39473684210526316                    
2025-05-20 14:59:13: Sobol, best RESULT: 0.20526315789473681, completed 7 = ∑7/50, new result: 0.3631578947368421                     
2025-05-20 14:59:24: Sobol, best RESULT: 0.20526315789473681, completed 6 = ∑6/50, new result: 0.31052631578947365                    
2025-05-20 14:59:34: Sobol, best RESULT: 0.20526315789473681, completed 5 = ∑5/50, new result: 0.3631578947368421                     
2025-05-20 14:59:44: Sobol, best RESULT: 0.20526315789473681, completed 4 = ∑4/50, new result: 0.3631578947368421                     
2025-05-20 14:59:54: Sobol, best RESULT: 0.20526315789473681, completed 3 = ∑3/50, new result: 0.3052631578947368                     
2025-05-20 15:00:06: Sobol, best RESULT: 0.20526315789473681, completed 2 = ∑2/50, new result: 0.3631578947368421                     
2025-05-20 15:00:16: Sobol, best RESULT: 0.20526315789473681, completed 1 = ∑1/50, new result: 0.3631578947368421                     
2025-05-20 15:00:26: Sobol, best RESULT: 0.20526315789473681, finishing jobs, finished 50 jobs                                        
2025-05-20 15:00:32: Sobol, best RESULT: 0.20526315789473681, getting new HP set #1/50                                                
2025-05-20 15:00:42: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #2/50 | ETA: 5m 57s                       
2025-05-20 15:00:48: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #3/50 | ETA: 4m 4s                        
2025-05-20 15:00:53: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #4/50 | ETA: 3m 4s                        
2025-05-20 15:00:59: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #5/50 | ETA: 2m 44s                       
2025-05-20 15:01:03: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #6/50 | ETA: 2m 22s                       
2025-05-20 15:01:09: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #7/50 | ETA: 2m 10s                       
2025-05-20 15:01:14: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #8/50 | ETA: 2m 0s                        
2025-05-20 15:01:20: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #9/50 | ETA: 1m 54s                       
2025-05-20 15:01:25: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #10/50 | ETA: 1m 46s                      
2025-05-20 15:01:30: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #11/50 | ETA: 1m 42s                      
2025-05-20 15:01:36: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #12/50 | ETA: 1m 39s                      
2025-05-20 15:01:41: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #13/50 | ETA: 1m 35s                      
2025-05-20 15:01:46: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #14/50 | ETA: 1m 30s                      
2025-05-20 15:01:51: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #15/50 | ETA: 1m 26s                      
2025-05-20 15:01:57: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #16/50 | ETA: 1m 23s                      
2025-05-20 15:02:02: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #17/50 | ETA: 1m 19s                      
2025-05-20 15:02:07: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #18/50 | ETA: 1m 15s                      
2025-05-20 15:02:12: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #19/50 | ETA: 1m 12s                      
2025-05-20 15:02:19: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #20/50 | ETA: 1m 13s                      
2025-05-20 15:02:24: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #21/50 | ETA: 1m 9s                       
2025-05-20 15:02:29: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #22/50 | ETA: 1m 6s                       
2025-05-20 15:02:35: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #23/50 | ETA: 1m 3s                       
2025-05-20 15:02:40: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #24/50 | ETA: 1m 1s                       
2025-05-20 15:02:46: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #25/50 | ETA: 59s                         
2025-05-20 15:02:51: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #26/50 | ETA: 56s                         
2025-05-20 15:02:56: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #27/50 | ETA: 53s                         
2025-05-20 15:03:02: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #28/50 | ETA: 51s                         
2025-05-20 15:03:07: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #29/50 | ETA: 49s                         
2025-05-20 15:03:12: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #30/50 | ETA: 46s                         
2025-05-20 15:03:17: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #31/50 | ETA: 43s                         
2025-05-20 15:03:22: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #32/50 | ETA: 41s                         
2025-05-20 15:03:28: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #33/50 | ETA: 39s                         
2025-05-20 15:03:35: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #34/50 | ETA: 37s                         
2025-05-20 15:03:41: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #35/50 | ETA: 35s                         
2025-05-20 15:03:46: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #36/50 | ETA: 32s                         
2025-05-20 15:03:52: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #37/50 | ETA: 30s                         
2025-05-20 15:03:59: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #38/50 | ETA: 29s                         
2025-05-20 15:04:04: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #39/50 | ETA: 26s                         
2025-05-20 15:04:09: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #40/50 | ETA: 24s                         
2025-05-20 15:04:16: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #41/50 | ETA: 22s                         
2025-05-20 15:04:21: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #42/50 | ETA: 19s                         
2025-05-20 15:04:26: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #43/50 | ETA: 17s                         
2025-05-20 15:04:32: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #44/50 | ETA: 15s                         
2025-05-20 15:04:37: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #45/50 | ETA: 13s                         
2025-05-20 15:04:43: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #46/50 | ETA: 10s                         
2025-05-20 15:04:50: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #47/50 | ETA: 8s                          
2025-05-20 15:04:55: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #48/50 | ETA: 6s                          
2025-05-20 15:05:00: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #49/50 | ETA: 4s                          
2025-05-20 15:05:11: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #50/50 | ETA: 2s                          
2025-05-20 15:05:16: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:20: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:23: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:27: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:30: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:33: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:37: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:40: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:43: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:46: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:49: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:52: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:56: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:59: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:02: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:06: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:09: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:12: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:16: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:19: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:22: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:25: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:28: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:32: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:35: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:38: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:41: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:45: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:49: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:52: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:55: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:58: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:01: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:04: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:08: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:11: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:15: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:19: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:22: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:26: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:29: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:32: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:35: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:38: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:42: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:45: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:49: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:52: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:56: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:59: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:08:03: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:03: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:42: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 8 = ∑8/50, started new job                           
2025-05-20 15:08:42: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 8 = ∑8/50, started new job                           
2025-05-20 15:08:42: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 9 = ∑9/50, started new job                           
2025-05-20 15:08:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 10 = ∑10/50, started new job                         
2025-05-20 15:08:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 11 = ∑11/50, started new job                         
2025-05-20 15:08:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 11 = ∑11/50, started new job                         
2025-05-20 15:08:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 10 = ∑10/50, started new job                         
2025-05-20 15:08:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 12 = ∑12/50, started new job                         
2025-05-20 15:08:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 14 = ∑14/50, started new job                         
2025-05-20 15:08:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = ∑16/50, started new job                         
2025-05-20 15:08:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = ∑16/50, started new job                         
2025-05-20 15:08:45: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = ∑16/50, started new job                         
2025-05-20 15:08:45: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = ∑16/50, started new job                         
2025-05-20 15:08:45: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = ∑16/50, started new job                         
2025-05-20 15:08:46: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = ∑16/50, started new job                         
2025-05-20 15:08:46: BoTorchGenerator, best RESULT: 0.20526315789473681, pending/unknown 12/4 = ∑16/50, started new job               
2025-05-20 15:09:22: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:22: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:22: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:23: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:23: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:23: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:23: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:24: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:24: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:24: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:24: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:24: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:25: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:25: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:25: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:09:26: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job              
2025-05-20 15:10:08: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/7 = ∑23/50, started new job   
2025-05-20 15:10:08: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/9 = ∑25/50, started new job   
2025-05-20 15:10:08: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/8 = ∑24/50, started new job   
2025-05-20 15:10:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/10 = ∑26/50, started new job  
2025-05-20 15:10:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/10 = ∑26/50, started new job  
2025-05-20 15:10:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/12 = ∑28/50, started new job  
2025-05-20 15:10:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/14 = ∑30/50, started new job  
2025-05-20 15:10:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/14 = ∑30/50, started new job  
2025-05-20 15:10:10: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/14 = ∑30/50, started new job   
2025-05-20 15:10:10: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/14 = ∑30/50, started new job   
2025-05-20 15:10:11: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/16 = ∑32/50, started new job   
2025-05-20 15:10:11: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/16 = ∑32/50, started new job   
2025-05-20 15:10:11: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/16 = ∑32/50, started new job   
2025-05-20 15:10:12: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/16 = ∑32/50, started new job   
2025-05-20 15:10:12: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/16 = ∑32/50, started new job   
2025-05-20 15:10:12: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/16 = ∑32/50, started new job   
2025-05-20 15:10:59: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:01: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:01: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:01: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = ∑32/50, starting new job            
2025-05-20 15:11:54: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/5 = ∑44/50, started new job   
2025-05-20 15:11:54: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/5 = ∑44/50, started new job   
2025-05-20 15:11:54: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/5 = ∑44/50, started new job   
2025-05-20 15:11:54: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/5 = ∑44/50, started new job   
2025-05-20 15:11:55: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/5 = ∑44/50, started new job   
2025-05-20 15:11:55: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = ∑48/50, started new job   
2025-05-20 15:11:55: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = ∑48/50, started new job   
2025-05-20 15:11:55: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = ∑48/50, started new job   
2025-05-20 15:11:55: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = ∑48/50, started new job   
2025-05-20 15:11:56: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = ∑48/50, started new job   
2025-05-20 15:11:56: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = ∑48/50, started new job   
2025-05-20 15:11:56: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = ∑48/50, started new job   
2025-05-20 15:11:56: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = ∑48/50, started new job   
2025-05-20 15:11:57: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = ∑48/50, started new job   
2025-05-20 15:11:57: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = ∑48/50, started new job   
2025-05-20 15:11:58: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = ∑48/50, started new job   
2025-05-20 15:12:49: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 42/6 = ∑48/50, starting new job            
2025-05-20 15:12:49: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 42/6 = ∑48/50, starting new job            
2025-05-20 15:12:58: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 42/6/2 = ∑50/50, started new job   
2025-05-20 15:12:58: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 42/6/2 = ∑50/50, started new job   
2025-05-20 15:13:07: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/pending 45/3/2 = ∑50/50, new result: 0.21052631578947367
2025-05-20 15:13:23: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 47/2 = ∑49/50, new result: 0.2210526315789474           
2025-05-20 15:13:38: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 48 = ∑48/50, new result: 0.27368421052631575                    
2025-05-20 15:13:54: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 47 = ∑47/50, new result: 0.2421052631578947                     
2025-05-20 15:14:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 46 = ∑46/50, new result: 0.3631578947368421                     
2025-05-20 15:14:25: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 45 = ∑45/50, new result: 0.35789473684210527                    
2025-05-20 15:14:40: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 44 = ∑44/50, new result: 0.26315789473684215                    
2025-05-20 15:14:56: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 43 = ∑43/50, new result: 0.3631578947368421                     
2025-05-20 15:15:11: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 42 = ∑42/50, new result: 0.22631578947368425                    
2025-05-20 15:15:27: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 41 = ∑41/50, new result: 0.2684210526315789                     
2025-05-20 15:15:43: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 40 = ∑40/50, new result: 0.21578947368421053                    
2025-05-20 15:15:59: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 39 = ∑39/50, new result: 0.21052631578947367                    
2025-05-20 15:16:17: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 38 = ∑38/50, new result: 0.20526315789473681                    
2025-05-20 15:16:36: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 37 = ∑37/50, new result: 0.25263157894736843                    
2025-05-20 15:16:52: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 36 = ∑36/50, new result: 0.3631578947368421                     
2025-05-20 15:17:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 35 = ∑35/50, new result: 0.2210526315789474                     
2025-05-20 15:17:24: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 34 = ∑34/50, new result: 0.35789473684210527                    
2025-05-20 15:17:40: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 33 = ∑33/50, new result: 0.24736842105263157                    
2025-05-20 15:19:04: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 32 = ∑32/50, new result: 0.3631578947368421                     
2025-05-20 15:20:30: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 31 = ∑31/50, new result: 0.2894736842105263                     
2025-05-20 15:21:59: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 30 = ∑30/50, new result: 0.20526315789473681                    
2025-05-20 15:23:44: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 29 = ∑29/50, new result: 0.3631578947368421                     
2025-05-20 15:25:11: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 28 = ∑28/50, new result: 0.25263157894736843                    
2025-05-20 15:26:37: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 27 = ∑27/50, new result: 0.2894736842105263                     
2025-05-20 15:28:03: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 26 = ∑26/50, new result: 0.23684210526315785                    
2025-05-20 15:29:31: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 25 = ∑25/50, new result: 0.3631578947368421                     
2025-05-20 15:31:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 24 = ∑24/50, new result: 0.2789473684210526                     
2025-05-20 15:32:30: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 23 = ∑23/50, new result: 0.2789473684210526                     
2025-05-20 15:34:01: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 22 = ∑22/50, new result: 0.3631578947368421                     
2025-05-20 15:35:32: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 21 = ∑21/50, new result: 0.24736842105263157                    
2025-05-20 15:37:23: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 20 = ∑20/50, new result: 0.2210526315789474                     
2025-05-20 15:37:38: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 19 = ∑19/50, new result: 0.28421052631578947                    
2025-05-20 15:37:55: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 18 = ∑18/50, new result: 0.21052631578947367                    
2025-05-20 15:38:11: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 17 = ∑17/50, new result: 0.35789473684210527                    
2025-05-20 15:38:27: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 16 = ∑16/50, new result: 0.3631578947368421                     
2025-05-20 15:38:43: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 15 = ∑15/50, new result: 0.27368421052631575                    
2025-05-20 15:38:59: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 14 = ∑14/50, new result: 0.3631578947368421                     
2025-05-20 15:39:15: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 13 = ∑13/50, new result: 0.32105263157894737                    
2025-05-20 15:39:29: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 12 = ∑12/50, new result: 0.22631578947368425                    
2025-05-20 15:39:45: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 11 = ∑11/50, new result: 0.30000000000000004                    
2025-05-20 15:40:01: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 10 = ∑10/50, new result: 0.25263157894736843                    
2025-05-20 15:40:18: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 9 = ∑9/50, new result: 0.3631578947368421                       
2025-05-20 15:40:32: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 8 = ∑8/50, new result: 0.2210526315789474                       
2025-05-20 15:40:48: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 7 = ∑7/50, new result: 0.2210526315789474                       
2025-05-20 15:41:04: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 6 = ∑6/50, new result: 0.3631578947368421                       
2025-05-20 15:41:19: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 5 = ∑5/50, new result: 0.3526315789473684                       
2025-05-20 15:41:35: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 4 = ∑4/50, new result: 0.2315789473684211                       
2025-05-20 15:41:52: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 3 = ∑3/50, new result: 0.3631578947368421                       
2025-05-20 15:42:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 2 = ∑2/50, new result: 0.3631578947368421                       
2025-05-20 15:42:26: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 1 = ∑1/50, new result: 0.3631578947368421                       
2025-05-20 15:42:42: BoTorchGenerator, best RESULT: 0.20526315789473681, finishing jobs, finished 50 jobs                                          
2025-05-20 15:42:49: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #1/50                                                  
2025-05-20 15:43:00: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #2/50 | ETA: 4m 11s                                    
2025-05-20 15:43:09: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #3/50 | ETA: 3m 47s                                    
2025-05-20 15:43:22: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #4/50 | ETA: 4m 16s                                    
2025-05-20 15:43:35: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #5/50 | ETA: 4m 38s                                    
2025-05-20 15:43:46: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #6/50 | ETA: 4m 26s                                    
2025-05-20 15:44:02: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #7/50 | ETA: 4m 55s                                    
2025-05-20 15:44:16: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #8/50 | ETA: 4m 53s                                    
2025-05-20 15:44:28: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #9/50 | ETA: 4m 43s                                    
2025-05-20 15:44:38: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #10/50 | ETA: 4m 27s                                   
2025-05-20 15:44:49: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #11/50 | ETA: 4m 14s                                   
2025-05-20 15:45:00: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #12/50 | ETA: 4m 5s                                    
2025-05-20 15:45:20: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #13/50 | ETA: 4m 21s                                   
2025-05-20 15:45:33: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #14/50 | ETA: 4m 17s                                   
2025-05-20 15:45:51: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #15/50 | ETA: 4m 19s                                   
2025-05-20 15:46:05: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #16/50 | ETA: 4m 12s                                   
2025-05-20 15:46:18: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #17/50 | ETA: 4m 3s                                    
2025-05-20 15:46:47: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #18/50 | ETA: 4m 23s                                   
2025-05-20 15:47:03: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #19/50 | ETA: 4m 19s                                   
2025-05-20 15:47:21: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #20/50 | ETA: 4m 16s                                   
2025-05-20 15:47:33: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #21/50 | ETA: 4m 4s                                    
2025-05-20 15:47:51: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #22/50 | ETA: 4m 1s                                    
2025-05-20 15:48:06: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #23/50 | ETA: 3m 53s                                   
2025-05-20 15:48:21: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #24/50 | ETA: 3m 44s                                   
2025-05-20 15:48:32: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #25/50 | ETA: 3m 33s                                   
2025-05-20 15:48:45: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #26/50 | ETA: 3m 24s                                   
2025-05-20 15:49:00: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #27/50 | ETA: 3m 17s                                   
2025-05-20 15:49:13: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #28/50 | ETA: 3m 9s                                    
2025-05-20 15:49:24: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #29/50 | ETA: 2m 58s                                   
2025-05-20 15:49:38: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #30/50 | ETA: 2m 51s                                   
2025-05-20 15:49:56: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #31/50 | ETA: 2m 47s                                   
2025-05-20 15:50:05: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #32/50 | ETA: 2m 36s                                   
2025-05-20 15:50:28: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #33/50 | ETA: 2m 33s                                   
2025-05-20 15:50:44: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #34/50 | ETA: 2m 25s                                   
2025-05-20 15:50:56: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #35/50 | ETA: 2m 16s                                   
2025-05-20 15:51:05: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #36/50 | ETA: 2m 6s                                    
2025-05-20 15:51:20: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #37/50 | ETA: 1m 58s                                   
2025-05-20 15:51:39: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #38/50 | ETA: 1m 52s                                   
2025-05-20 15:51:47: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #39/50 | ETA: 1m 41s                                   
2025-05-20 15:52:02: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #40/50 | ETA: 1m 33s                                   
2025-05-20 15:52:12: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #41/50 | ETA: 1m 24s                                   
2025-05-20 15:52:27: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #42/50 | ETA: 1m 16s                                   
2025-05-20 15:52:44: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #43/50 | ETA: 1m 8s                                    
2025-05-20 15:52:58: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #44/50 | ETA: 59s                                      
2025-05-20 15:53:11: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #45/50 | ETA: 51s                                      
2025-05-20 15:53:19: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #46/50 | ETA: 42s                                      
2025-05-20 15:53:35: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #47/50 | ETA: 33s                                      
2025-05-20 15:53:50: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #48/50 | ETA: 25s                                      
2025-05-20 15:54:11: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #49/50 | ETA: 17s                                      
2025-05-20 15:54:25: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #50/50 | ETA: 8s                                       
2025-05-20 15:54:45: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:54:50: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:54:54: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:54:59: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:04: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:09: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:14: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:18: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:23: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:27: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:32: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:36: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:41: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:46: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:50: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:55: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:00: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:04: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:09: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:14: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:19: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:24: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:28: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:33: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:38: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:43: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:47: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:52: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:57: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:01: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:06: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:14: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:20: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:24: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:29: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:35: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:40: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:45: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:49: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:54: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:58: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:03: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:08: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:12: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:17: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:22: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:27: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:31: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:36: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:41: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:46: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:46: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:46: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:46: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:59:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 8 = ∑8/50, started new job                                        
2025-05-20 15:59:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 10 = ∑10/50, started new job                                      
2025-05-20 15:59:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 10 = ∑10/50, started new job                                      
2025-05-20 15:59:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 12 = ∑12/50, started new job                                      
2025-05-20 15:59:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 12 = ∑12/50, started new job                                      
2025-05-20 15:59:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 12 = ∑12/50, started new job                                      
2025-05-20 15:59:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 12 = ∑12/50, started new job                                      
2025-05-20 15:59:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 13 = ∑13/50, started new job                                      
2025-05-20 15:59:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 14 = ∑14/50, started new job                                      
2025-05-20 15:59:45: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = ∑16/50, started new job                                      
2025-05-20 15:59:45: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = ∑16/50, started new job                                      
2025-05-20 15:59:45: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = ∑16/50, started new job                                      
2025-05-20 15:59:46: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = ∑16/50, started new job                                      
2025-05-20 15:59:46: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = ∑16/50, started new job                                      
2025-05-20 15:59:47: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = ∑16/50, started new job                                      
2025-05-20 15:59:47: BoTorchGenerator, best RESULT: 0.20526315789473681, pending/unknown 14/2 = ∑16/50, started new job                            
2025-05-20 16:00:42: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:42: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:42: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:42: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = ∑16/50, starting new job                           
2025-05-20 16:01:46: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/12 = ∑28/50, started new job                         
2025-05-20 16:01:46: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/13 = ∑29/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/14 = ∑30/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/13 = ∑29/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/13 = ∑29/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/13 = ∑29/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/13 = ∑29/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/16 = ∑32/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/13 = ∑29/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/15 = ∑31/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/16 = ∑32/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/16 = ∑32/50, started new job                         
2025-05-20 16:01:48: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/16 = ∑32/50, started new job                         
2025-05-20 16:01:49: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/16 = ∑32/50, started new job                         
2025-05-20 16:01:49: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/16 = ∑32/50, started new job                         
2025-05-20 16:01:49: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/16 = ∑32/50, started new job                         
2025-05-20 16:02:50: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:50: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:50: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:50: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:50: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:50: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:50: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:51: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:51: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:51: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:51: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:52: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:52: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:52: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:52: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:02:52: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = ∑32/50, starting new job                         
2025-05-20 16:03:59: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 32/7 = ∑39/50, started new job                          
2025-05-20 16:04:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 32/9 = ∑41/50, started new job                          
2025-05-20 16:04:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/1 = ∑41/50, started new job                
2025-05-20 16:04:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/2 = ∑42/50, started new job                
2025-05-20 16:04:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 32/8 = ∑40/50, started new job                          
2025-05-20 16:04:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/2 = ∑42/50, started new job                
2025-05-20 16:04:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/3 = ∑43/50, started new job                
2025-05-20 16:04:02: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/5 = ∑45/50, started new job                
2025-05-20 16:04:02: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/7 = ∑47/50, started new job                
2025-05-20 16:04:02: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/7 = ∑47/50, started new job                
2025-05-20 16:04:02: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/8 = ∑48/50, started new job                
2025-05-20 16:04:03: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/8 = ∑48/50, started new job                
2025-05-20 16:04:03: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/8 = ∑48/50, started new job                
2025-05-20 16:04:04: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/8 = ∑48/50, started new job                
2025-05-20 16:04:04: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/8 = ∑48/50, started new job                
2025-05-20 16:04:04: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/8 = ∑48/50, started new job                
2025-05-20 16:05:10: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 44/4 = ∑48/50, starting new job                         
2025-05-20 16:05:10: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 44/4 = ∑48/50, starting new job                         
2025-05-20 16:05:23: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 46/2/1 = ∑49/50, started new job                
2025-05-20 16:05:26: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 47/2/1 = ∑50/50, started new job                
2025-05-20 16:05:35: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/pending 48/1/1 = ∑50/50, new result: 0.20526315789473681
2025-05-20 16:05:56: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/pending 47/1/1 = ∑49/50, new result: 0.2421052631578947 
2025-05-20 16:06:22: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 46/2 = ∑48/50, new result: 0.3631578947368421           
2025-05-20 16:06:42: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 45/2 = ∑47/50, new result: 0.3631578947368421           
2025-05-20 16:07:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 44/2 = ∑46/50, new result: 0.24736842105263157          
2025-05-20 16:07:19: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 45 = ∑45/50, new result: 0.20526315789473681                    
2025-05-20 16:07:38: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 44 = ∑44/50, new result: 0.3631578947368421                     
2025-05-20 16:07:59: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 43 = ∑43/50, new result: 0.34736842105263155                    
2025-05-20 16:08:20: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 42 = ∑42/50, new result: 0.2789473684210526                     
2025-05-20 16:08:38: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 41 = ∑41/50, new result: 0.3631578947368421                     
2025-05-20 16:08:57: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 40 = ∑40/50, new result: 0.4263157894736842                     
2025-05-20 16:09:18: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 39 = ∑39/50, new result: 0.3631578947368421                     
2025-05-20 16:09:40: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 38 = ∑38/50, new result: 0.27368421052631575                    
2025-05-20 16:10:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 37 = ∑37/50, new result: 0.33684210526315794                    
2025-05-20 16:10:22: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 36 = ∑36/50, new result: 0.20526315789473681                    
2025-05-20 16:10:43: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 35 = ∑35/50, new result: 0.2210526315789474                     
2025-05-20 16:11:03: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 34 = ∑34/50, new result: 0.2578947368421053                     
2025-05-20 16:11:24: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 33 = ∑33/50, new result: 0.3631578947368421                     
2025-05-20 16:11:44: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 32 = ∑32/50, new result: 0.35789473684210527                    
2025-05-20 16:12:05: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 31 = ∑31/50, new result: 0.4842105263157894                     
2025-05-20 16:12:26: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 30 = ∑30/50, new result: 0.22631578947368425                    
2025-05-20 16:12:45: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 29 = ∑29/50, new result: 0.23684210526315785                    
2025-05-20 16:13:04: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 28 = ∑28/50, new result: 0.2578947368421053                     
2025-05-20 16:13:24: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 27 = ∑27/50, new result: 0.3157894736842105                     

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Arguments Overview

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Download »worker_usage.csv« as file

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1747749492.8469307,50,0,0
1747749497.763607,50,0,0
1747749502.256778,50,0,0
1747749507.1752167,50,0,0
1747749511.9761117,50,0,0
1747749516.5133018,50,0,0
1747749521.2385318,50,0,0
1747749526.5994375,50,0,0
1747749526.6793182,50,0,0
1747749526.8752942,50,0,0
1747749526.9863634,50,0,0
1747749527.0027094,50,0,0
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1747749527.4173546,50,0,0
1747749527.4272594,50,0,0
1747749582.823835,50,9,18
1747749583.1579518,50,10,20
1747749583.2584631,50,10,20
1747749583.5371242,50,10,20
1747749583.590505,50,11,22
1747749583.7563512,50,8,16
1747749583.8270948,50,12,24
1747749584.1214077,50,13,26
1747749584.2071064,50,14,28
1747749584.8564823,50,16,32
1747749584.9462347,50,16,32
1747749585.266347,50,16,32
1747749585.6540766,50,16,32
1747749585.7893374,50,16,32
1747749586.489116,50,16,32
1747749586.6048968,50,16,32
1747749641.693121,50,16,32
1747749641.875581,50,16,32
1747749641.911691,50,16,32
1747749642.09064,50,16,32
1747749642.1075437,50,16,32
1747749642.1312428,50,16,32
1747749642.3703365,50,16,32
1747749642.4335494,50,16,32
1747749642.4805863,50,16,32
1747749642.5529237,50,16,32
1747749642.5627136,50,16,32
1747749642.8810654,50,16,32
1747749642.9526403,50,16,32
1747749643.0470417,50,16,32
1747749643.0603032,50,16,32
1747749643.4621084,50,16,32
1747749705.9719994,50,13,26
1747749706.3491197,50,13,26
1747749706.375526,50,13,26
1747749706.4315999,50,13,26
1747749706.5108056,50,13,26
1747749706.5428247,50,13,26
1747749706.5774453,50,14,28
1747749706.6546872,50,15,30
1747749706.9562852,50,15,30
1747749707.1064649,50,15,30
1747749707.2762406,50,16,32
1747749707.457985,50,16,32
1747749707.7077973,50,16,32
1747749708.3723886,50,16,32
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1747749708.8811865,50,16,32
1747749769.0246825,50,6,12
1747749769.087693,50,6,12
1747749769.22964,50,6,12
1747749769.5587988,50,6,12
1747749770.1462154,50,6,12
1747749770.1770008,50,6,12
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1747749839.1784563,50,7,14
1747749839.6077058,50,8,16
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1747749839.837475,50,9,18
1747749840.069236,50,10,20
1747749840.2045424,50,11,22
1747749840.476535,50,12,24
1747749840.88358,50,14,28
1747749841.6080942,50,16,32
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1747749842.2156935,50,16,32
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1747749844.3970852,50,16,32
1747749910.1899493,50,4,8
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1747749923.085303,50,3,6
1747749925.7635221,50,4,8
1747749935.6765518,50,2,4
1747749942.0128121,50,2,4
1747749956.7775328,50,2,4
1747749966.4305024,50,2,4
1747749982.60004,50,1,2
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timestamp,ram_usage_mb,cpu_usage_percent
1747745107,634.97265625,13.8
1747745110,635.23046875,13.9
1747745112,635.8046875,14.1
1747745112,635.8046875,21.4
1747745112,635.8046875,13.5
1747745112,636.0625,13.3
1747745112,636.0625,23.1
1747745481,667.98046875,14.4
1747745492,670.87109375,14.4
1747745492,670.87109375,20.0
1747745504,671.2265625,14.3
1747745504,671.2265625,20.0
1747745516,671.2265625,14.1
1747745516,671.2265625,23.1
1747745526,671.2265625,14.2
1747745526,671.2265625,21.4
1747745537,671.2265625,14.2
1747745537,671.2265625,20.0
1747745547,671.2265625,14.1
1747745547,671.2265625,21.4
1747745557,671.2265625,14.5
1747745567,671.2265625,14.2
1747745578,671.484375,14.3
1747745578,671.484375,14.3
1747745588,671.484375,14.5
1747745588,671.484375,16.7
1747745599,671.484375,14.2
1747745599,671.484375,18.8
1747745609,671.484375,14.2
1747745609,671.484375,7.7
1747745621,671.484375,14.4
1747745621,671.484375,14.3
1747745634,670.47265625,14.1
1747745634,670.47265625,7.7
1747745645,670.98828125,14.4
1747745656,670.98828125,14.2
1747745656,670.98828125,20.0
1747745666,670.98828125,14.2
1747745677,670.98828125,14.6
1747745687,670.98828125,14.2
1747745687,670.98828125,21.4
1747745698,671.24609375,14.2
1747745698,671.24609375,21.4
1747745709,671.24609375,14.2
1747745709,671.24609375,20.0
1747745719,671.24609375,14.2
1747745719,671.24609375,8.3
1747745729,671.24609375,14.2
1747745729,671.24609375,21.4
1747745740,671.24609375,14.6
1747745740,671.24609375,20.0
1747745750,671.24609375,14.2
1747745750,671.24609375,23.1
1747745760,671.50390625,14.1
1747745760,671.50390625,26.7
1747745771,671.50390625,14.1
1747745771,671.50390625,21.4
1747745781,671.50390625,14.2
1747745781,671.50390625,26.7
1747745792,671.50390625,14.3
1747745792,671.50390625,20.0
1747745802,671.50390625,14.5
1747745802,671.50390625,20.0
1747745813,671.50390625,14.2
1747745823,671.50390625,14.3
1747745849,671.76171875,14.0
1747745860,671.76171875,14.2
1747745860,671.76171875,20.0
1747745870,672.01953125,14.2
1747745882,672.01953125,14.1
1747745892,672.01953125,14.5
1747745902,672.01953125,14.2
1747745902,672.01953125,9.1
1747745912,672.27734375,14.3
1747745912,672.27734375,21.4
1747745923,672.27734375,14.5
1747745923,672.27734375,21.4
1747745934,672.27734375,14.3
1747745934,672.27734375,21.4
1747745946,672.27734375,14.2
1747745956,672.27734375,14.4
1747745967,672.27734375,14.2
1747745977,672.27734375,14.2
1747745977,672.27734375,21.4
1747745987,672.27734375,14.2
1747745987,672.27734375,23.1
1747745998,672.27734375,14.1
1747746009,672.27734375,14.4
1747746009,672.27734375,15.4
1747746020,672.27734375,14.4
1747746031,672.27734375,14.2
1747746031,672.27734375,18.8
1747746031,672.27734375,13.8
1747746031,672.27734375,21.4
1747746791,699.921875,14.5
1747746791,699.921875,20.0
1747746808,702.83203125,14.3
1747746823,701.703125,14.4
1747746823,701.703125,14.3
1747746839,702.5,14.2
1747746839,702.5,7.7
1747746855,702.05078125,14.2
1747746855,702.05078125,21.4
1747746870,702.046875,14.3
1747746870,702.046875,21.4
1747746885,702.04296875,14.3
1747746885,702.04296875,20.0
1747746901,702.04296875,14.2
1747746901,702.04296875,26.7
1747746916,701.89453125,14.3
1747746916,701.89453125,20.0
1747746933,701.84375,14.2
1747746933,701.84375,14.3
1747746949,701.7421875,14.3
1747746964,701.70703125,14.3
1747746964,701.70703125,21.4
1747746982,700.64453125,14.6
1747746982,700.64453125,7.7
1747747002,700.1953125,16.7
1747747002,700.1953125,11.8
1747747018,700.1953125,15.1
1747747018,700.1953125,14.3
1747747034,700.1953125,14.8
1747747034,700.1953125,25.0
1747747049,700.1953125,15.3
1747747049,700.1953125,14.3
1747747084,700.1953125,14.4
1747747173,700.1953125,14.2
1747747173,700.1953125,14.3
1747747260,698.93359375,14.1
1747747348,699.77734375,13.9
1747747348,699.77734375,20.0
1747747452,699.546875,13.9
1747747539,698.38671875,14.0
1747747539,698.38671875,14.3
1747747625,691.078125,13.9
1747747712,687.55078125,14.0
1747747712,687.55078125,14.3
1747747802,682.27734375,14.0
1747747802,682.27734375,15.8
1747747890,675.625,14.0
1747747978,654.84375,14.9
1747747978,654.84375,15.2
1747748072,531.234375,15.0
1747748072,531.234375,16.1
1747748162,474.34765625,14.9
1747748162,474.34765625,11.9
1747748248,455.4921875,14.5
1747748248,455.4921875,18.4
1747748263,456.6796875,15.3
1747748263,456.6796875,20.0
1747748280,456.6796875,15.2
1747748295,456.6796875,15.1
1747748295,456.6796875,14.3
1747748312,463.02734375,15.2
1747748312,463.02734375,23.5
1747748328,463.02734375,15.4
1747748328,463.02734375,18.8
1747748343,464.52734375,15.3
1747748343,464.52734375,20.0
1747748359,464.52734375,15.1
1747748359,464.52734375,21.4
1747748375,464.52734375,15.2
1747748391,464.52734375,15.4
1747748391,464.52734375,20.0
1747748406,464.4921875,15.2
1747748406,464.4921875,25.0
1747748422,463.97265625,15.3
1747748422,463.97265625,14.5
1747748437,464.23046875,15.2
1747748453,464.18359375,15.5
1747748453,464.18359375,8.3
1747748468,464.18359375,15.2
1747748485,464.18359375,15.4
1747748485,464.18359375,20.0
1747748500,463.19140625,15.3
1747748518,463.44921875,15.4
1747748518,463.44921875,14.3
1747748534,457.29296875,15.3
1747748534,457.29296875,15.3
1747748551,458.38671875,15.3
1747748551,458.38671875,14.5
1747748568,459.6796875,15.2
1747748569,459.6796875,14.3
1747749942,486.72265625,13.5
1747749942,486.72265625,8.0
1747749966,493.9296875,9.8
1747749988,494.07421875,9.8
1747749988,494.07421875,14.3
1747750008,494.13671875,9.8
1747750008,494.13671875,14.3
1747750026,494.203125,9.8
1747750026,494.203125,8.3
1747750045,494.25,9.9
1747750045,494.25,7.1
1747750065,494.31640625,9.8
1747750065,494.31640625,13.3
1747750086,494.3671875,9.8
1747750086,494.3671875,7.7
1747750106,492.15234375,10.0
1747750106,492.15234375,9.5
1747750124,492.19921875,9.8
1747750144,493.12109375,7.4
1747750144,493.12109375,6.7
1747750164,493.12109375,7.5
1747750164,493.12109375,5.8
1747750186,493.12109375,7.6
1747750207,493.37890625,7.5
1747750207,493.37890625,7.1
1747750229,491.546875,7.7
1747750229,491.546875,9.2
1747750249,492.36328125,7.5
1747750249,492.36328125,7.1
1747750270,492.3984375,7.5
1747750270,492.3984375,6.7
1747750290,492.39453125,7.5
1747750311,492.53125,7.5
1747750311,492.53125,7.1
1747750332,492.60546875,7.4
1747750332,492.60546875,7.1
1747750352,489.75,7.8
1747750352,489.75,6.9
1747750371,490.5234375,7.9
1747750391,490.57421875,8.0
1747750391,490.57421875,6.4
1747750410,490.6328125,7.9

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Correlation Heatmap Explanation

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

How It Works

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

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

Color Scale: Yellow to Purple (Viridis)

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

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

What the Heatmap Shows

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

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

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				min-width: 1100px;
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			[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-variant: oldstyle-nums;
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
				background-color: #fafafa;
				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: 0 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;
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			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%;
				margin: 0;
				padding: 0;
				user-select: none;
				user-drag: none;
				-webkit-user-drag: none;
				user-select: none;
				-moz-user-select: none;
				-webkit-user-select: none;
				-ms-user-select: none;
				display: -webkit-box;
			}
			
			.tab {
				display: inline-block;
				padding: 0px;
				margin: 0px;
				font-size: 16px;
				font-weight: bold;
				text-align: center;
				border-radius: 25px;
				text-decoration: none !important;
				transition: background-color 0.3s, color 0.3s;
				color: unset !important;
			}
			
			.tooltipster-base {
				border: 1px solid black;
				position: absolute;
				border-radius: 8px;
				padding: 2px;
				color: white;
				background-color: #61686f;
				width: 70%;
				min-width: 200px;
				pointer-events: none;
			}
			
			td {
				padding-top: 3px;
				padding-bottom: 3px;
			}
			
			.left_side {
				text-align: right;
			}
			
			.right_side {
				text-align: left;
			}
			
			.spinner {
				border: 8px solid rgba(0, 0, 0, 0.1);
				border-left: 8px solid #3498db;
				border-radius: 50%;
				width: 50px;
				height: 50px;
				animation: spin 1s linear infinite;
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			#spinner-overlay {
				-webkit-text-stroke: 1px black;
				white !important;
				position: fixed;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				display: flex;
				justify-content: center;
				align-items: center;
				z-index: 9999;
			}
			
			#spinner-container {
				text-align: center;
				color: #fff;
				display: contents;
			}
			
			#spinner-text {
				font-size: 3vw;
				margin-left: 10px;
			}
			
			a, a:visited, a:active, a:hover, a:link {
				color: #007bff;
				text-decoration: none;
			}
			
			.copy-container {
				display: inline-block;
				position: relative;
				cursor: pointer;
				margin-left: 10px;
				color: blue;
			}
			
			.copy-container:hover {
				text-decoration: underline;
			}
			
			.clipboard-icon {
				position: absolute;
				top: 5px;
				right: 5px;
				font-size: 1.5em;
			}
			
			#main_tab {
				overflow: scroll;
				width: max-content;
			}
			
			.ui-tabs .ui-tabs-nav li {
				user-select: none;
			}
			
			.stacktrace_table {
				background-color: black !important;
				color: white !important;
			}
			
			#breadcrumb {
				user-select: none;
			}
			
			#statusBar {
				user-select: none;
			}
			
			.error_line {
				background-color: red !important;
				color: white !important;
			}
			
			.header_table {
				border: 0px !important;
				padding: 0px !important;
				width: revert !important;
				min-width: revert !important;
			}
			
			.img_auto_width {
				max-width: revert !important;
			}
			
			#main_dir_or_plot_view {
				display: inline-grid;
			}
			
			#refresh_button {
				width: 300px;
			}
			
			._share_link {
				color: black !important;
			}
			
			#footer_element {
				height: 30px;
				background-color: #f8f9fa;
				padding: 0px;
				text-align: center;
				border-top: 1px solid #dee2e6;
				width: 100%;
				box-sizing: border-box;
				position: fixed;
				bottom: 0;
				z-index: 2;
				margin-left: -9px;
				z-index: 99;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 50px;
				height: 26px;
			}
			
			.switch input {
				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
			}
			
			.slider:before {
				position: absolute;
				content: "";
				height: 20px;
				width: 20px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #444;
			}
			
			input:checked + .slider:before {
				transform: translateX(24px);
			}
			
			.mode-text {
				position: absolute;
				top: 5px;
				left: 65px;
				font-size: 14px;
				color: black;
				transition: .4s;
				width: 65px;
				display: block;
				font-size: 0.7rem;
				text-align: center;
			}
			
			input:checked + .slider .mode-text {
				content: "Dark Mode";
				color: white;
			}
			
			#mainContent {
				height: fit-content;
				min-height: 100%;
			}
			
			li {
				text-align: left;
			}
			
			#share_path {
				margin-bottom: 20px;
				margin-top: 20px;
			}
			
			#sortForm {
				margin-bottom: 20px;
			}
			
			.share_folder_buttons {
				margin-top: 10px;
				margin-bottom: 10px;
			}
			
			.nav_tab_button {
				margin: 10px;
			}
			
			.header_table {
				margin: 10px;
			}
			
			.no_border {
				border: unset !important;
			}
			
			.gui_table {
				padding: 5px !important;
			}
			
			.gui_parameter_row {
			}
			
			.gui_parameter_row_cell {
				border: unset !important;
			}
			
			.gui_param_table {
				width: 95%;
				margin: unset !important;
			}
			
			table td, table tr,
			.parameterRow table {
				padding: 2px !important;
			}
			
			.parameterRow table {
				margin: 0px;
				border: unset;
			}
			
			.parameterRow > td {
				border: 0px !important;
			}
			
			.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
				border: 0px !important;
			}
			
			.green_text {
				color: green;
			}
			
			.remove_parameter {
				white-space: pre;
			}
			
			select {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				background-color: #fff;
				color: #222;
				padding: 5px 30px 5px 5px;
				border: 1px solid #555;
				border-radius: 5px;
				cursor: pointer;
				outline: none;
				transition: all 0.3s ease;
				background:
					url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
					no-repeat right 10px center,
				linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
				background-size: 12px, auto;
			}
			
			select:hover {
				border-color: #888;
			}
			
			select:focus {
				border-color: #4caf50;
				box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
			}
			
			select::-ms-expand {
				display: none;
			}
			
			input, textarea {
				border-radius: 5px;
			}
			
			#search {
				width: 200px;
				max-width: 70%;
				background-image: url(images/search.svg);
				background-repeat: no-repeat;
				background-size: auto 40px;
				height: 40px;
				line-height: 40px;
				padding-left: 40px;
				box-sizing: border-box;
			}
			
			input[type="checkbox"] {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				width: 25px;
				height: 25px;
				border: 2px solid #3498db;
				border-radius: 5px;
				background-color: #fff;
				position: relative;
				cursor: pointer;
				transition: all 0.3s ease;
				width: 25px !important;
			}
			
			input[type="checkbox"]:checked {
				background-color: #3498db;
				border-color: #2980b9;
			}
			
			input[type="checkbox"]:checked::before {
				content: '✔';
				position: absolute;
				left: 4px;
				top: 2px;
				color: #fff;
			}
			
			input[type="checkbox"]:hover {
				border-color: #2980b9;
				background-color: #3caffc;
			}
			
			.toc {
				margin-bottom: 20px;
			}
			
			.toc li {
				margin-bottom: 5px;
			}
			
			.toc a {
				text-decoration: none;
				color: #007bff;
			}
			
			.toc a:hover {
				text-decoration: underline;
			}
			
			.table-container {
				width: 100%;
				overflow-x: auto;
			}
			
			.section-header {
				background-color: #1d6f9a !important;
				color: white;
			}
			
			.warning {
				color: red;
			}
			
			.li_list a {
				text-decoration: none;
			}
			
			.gridjs-td {
				white-space: nowrap;
			}
			
			th, td {
				border: 1px solid gray !important;
			}
			
			.no_border {
				border: 0px !important;
			}
			
			.no_break {
			
			}
			
			img {
				user-select: none;
				pointer-events: none;
			}
			
			#config_table, #hidden_config_table {
				user-select: none;
			}
			
			.copy_clipboard_button {
				margin-bottom: 10px;
			}
			
			.badge_table {
				background-color: unset !important;
			}
			
			.make_markable {
				user-select: text;
			}
			
			.header-container {
				display: flex;
				flex-wrap: wrap;
				align-items: center;
				justify-content: space-between;
				gap: 1rem;
				padding: 10px;
				background: var(--header-bg, #fff);
				border-bottom: 1px solid #ccc;
			}
			
			.header-logo-group {
				display: flex;
				gap: 1rem;
				align-items: center;
				flex: 1 1 auto;
				min-width: 200px;
			}
			
			.logo-img {
				max-height: 45px;
				height: auto;
				width: auto;
				object-fit: contain;
				pointer-events: unset;
			}
			
			.header-badges {
				flex-direction: column;
				gap: 5px;
				align-items: flex-start;
				flex: 0 1 auto;
				margin-top: auto;
				margin-bottom: auto;
			}
			
			.badge-img {
				height: auto;
				max-width: 130px;
				margin-top: 3px;
			}
			
			.header-tabs {
				margin-top: 10px;
				display: flex;
				flex-wrap: wrap;
				gap: 10px;
				flex: 2 1 100%;
				justify-content: center;
			}
			
			.nav-tab {
				display: inline-block;
				text-decoration: none;
				padding: 8px 16px;
				border-radius: 20px;
				background: linear-gradient(to right, #4a90e2, #357ABD);
				color: white;
				font-weight: bold;
				white-space: nowrap;
				transition: background 0.2s ease-in-out, transform 0.2s;
				box-shadow: 0 2px 4px rgba(0,0,0,0.2);
			}
			
			.nav-tab:hover {
				background: linear-gradient(to right, #5aa0f2, #4a90e2);
				transform: translateY(-2px);
			}
			
			.current-tag {
				padding-left: 10px;
				font-size: 0.9rem;
				color: #666;
			}
			
			.header-theme-toggle {
				flex: 1 1 auto;
				align-items: center;
				margin-top: 20px;
				min-width: 120px;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 60px;
				height: 30px;
			}
			
			.switch input {
				display: none;
			}
			
			.slider {
				position: absolute;
				top: 0; left: 0; right: 0; bottom: 0;
				background-color: #ccc;
				border-radius: 34px;
				cursor: pointer;
			}
			
			.slider::before {
				content: "";
				position: absolute;
				height: 24px;
				width: 24px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #2196F3;
			}
			
			input:checked + .slider::before {
				transform: translateX(30px);
			}
			
			@media (max-width: 768px) {
				.header-logo-group,
				.header-badges,
				.header-theme-toggle {
					justify-content: center;
					flex: 1 1 100%;
					text-align: center;
					width: inherit;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.hide_on_mobile {
					display: none;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					white-space: pre;
					font-size: 2em;
				}
			}
			
			.header_button {
				white-space: pre;
				margin-top: 20px;
				margin: 5px;
			}
			
			.line_break_anywhere {
				line-break: anywhere;
			}
			
			.responsive-container {
				display: flex;
				flex-wrap: wrap;
				justify-content: space-between;
				gap: 20px;
			}
			
			.responsive-container .half {
				flex: 1 1 48%;
				box-sizing: border-box;
				min-width: 500px;
			}
			
			.config-section table {
				width: 100%;
				border-collapse: collapse;
			}
			
			@media (max-width: 768px) {
				.responsive-container .half {
					flex: 1 1 100%;
				}
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			.rotate {
				animation: spin 2s linear infinite;
				display: inline-block;
			}
			
			input::placeholder {
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			.gridjs-th-content {
				overflow: visible !important;
			}
			
			.error_text {
				color: red;
			}
			
			h1, h2, h3, h4, h5, h6 {
				margin-top: 1em;
				font-weight: bold;
				color: #333;
				border-left: 5px solid #ccc;
				padding-left: 0.5em;
			}
			
			.no_cursive {
				font-style: normal;	
			}
			
			.caveat {
				background-color: #fff8b3;
				border: 1px solid #f2d600;
				padding: 1em 1em 1em 70px;
				position: relative;
				font-family: sans-serif;
				color: #665500;
				margin: 1em 0;
				border-radius: 4px;
			}
			
			.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
				margin-top: 0;
				margin-bottom: 0.5em;
				font-weight: bold;
			}
			
			.caveat::before {
				content: "⚠️";
				font-size: 50px;
				line-height: 1;
				position: absolute;
				left: 10px;
				top: 50%;
				transform: translateY(-50%);
				pointer-events: none;
				user-select: none;
			}
			
			.caveat.warning::before { content: "⚠️"; }
			.caveat.stop::before { content: "🛑"; }
			.caveat.exclamation::before { content: "❗"; }
			.caveat.alarm::before { content: "🚨"; }
			.caveat.tip::before { content: "💡"; }
			
			.tutorial_icon {
				display: inline-block;
				font-size: 1.3em;
				line-height: 1;
				vertical-align: middle;
				transform: translateY(-10%);
				padding: 0.2em 0;
			}
			
			.highlight {
				background-color: yellow;
				font-weight: bold;
			}
			
			#searchResults li {
				opacity: 0;
				transform: translateY(8px);
				animation: fadeInUp 0.3s ease-out forwards;
				animation-delay: 0.05s;
				list-style: none;
				margin-bottom: 5px;
			}
			
			@keyframes fadeInUp {
				to {
					opacity: 1;
					transform: translateY(0);
				}
			}
			
			.search_headline {
				font-weight: bold;
				margin-top: 1em;
				margin-bottom: 0.3em;
				color: #444;
			}
			
			.search_share_path {
				color: black;
				display: block ruby;
				margin-top: 20px;
			}
			
			@media print {
				#scads_bar {
					display: none !important;
				}
			}
			

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 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			: :-webkit-scrollbar-button: vertical: end{
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			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
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15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M0 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M1 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M2 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M3 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M4 16h1'/%3E%3Cpath stroke='%237da0d4' d='M5 16h1m4 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M6 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M7 16h3'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				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 2h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 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			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
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stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
			}
			
			.field-row{
				display: flex;
				align-items: center
			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
				margin-top: 6px
			}
			
			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
			menu[role=tablist] button{
				background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
				padding: 0 12px 3px
			}
			
			menu[role=tablist] button: hover{
				box-shadow: unset;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]{
				border-color: #919b9c;
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]: first-of-type: before{
				content: "";
				display: block;
				position: absolute;
				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
			}
			
			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
			}
			
			ul.tree-view{
				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
			}
			
			@keyframes sliding{
				0%{
					transform: translateX(-30px)
				}
			
				to{
					transform: translateX(100%)
				}
			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
				border-radius: 4px;
				padding: 1px 2px 1px 0;
				overflow: hidden;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress,progress: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				height: 14px
			}
			
			progress[value]: :-webkit-progress-bar{
				background-color: transparent
			}
			
			progress[value]: :-webkit-progress-value{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress[value]: :-moz-progress-bar{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-webkit-progress-bar{
				width: 100%;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-webkit-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]){
				position: relative
			}
			
			progress: not([value]): before{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before,progress: not([value]): before: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): after{
				box-sizing: border-box;
				content: "";
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			    [
			        1747748485,
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			        20
			    ],
			    [
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			        15.3
			    ],
			    [
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			    [
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			        463.44921875,
			        14.3
			    ],
			    [
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			        457.29296875,
			        15.3
			    ],
			    [
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			        15.3
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			    [
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			        15.3
			    ],
			    [
			        1747748551,
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			    [
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			    ],
			    [
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			        486.72265625,
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			    ],
			    [
			        1747749942,
			        486.72265625,
			        8
			    ],
			    [
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			        9.8
			    ],
			    [
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			        494.07421875,
			        9.8
			    ],
			    [
			        1747749988,
			        494.07421875,
			        14.3
			    ],
			    [
			        1747750008,
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			        9.8
			    ],
			    [
			        1747750008,
			        494.13671875,
			        14.3
			    ],
			    [
			        1747750026,
			        494.203125,
			        9.8
			    ],
			    [
			        1747750026,
			        494.203125,
			        8.3
			    ],
			    [
			        1747750045,
			        494.25,
			        9.9
			    ],
			    [
			        1747750045,
			        494.25,
			        7.1
			    ],
			    [
			        1747750065,
			        494.31640625,
			        9.8
			    ],
			    [
			        1747750065,
			        494.31640625,
			        13.3
			    ],
			    [
			        1747750086,
			        494.3671875,
			        9.8
			    ],
			    [
			        1747750086,
			        494.3671875,
			        7.7
			    ],
			    [
			        1747750106,
			        492.15234375,
			        10
			    ],
			    [
			        1747750106,
			        492.15234375,
			        9.5
			    ],
			    [
			        1747750124,
			        492.19921875,
			        9.8
			    ],
			    [
			        1747750144,
			        493.12109375,
			        7.4
			    ],
			    [
			        1747750144,
			        493.12109375,
			        6.7
			    ],
			    [
			        1747750164,
			        493.12109375,
			        7.5
			    ],
			    [
			        1747750164,
			        493.12109375,
			        5.8
			    ],
			    [
			        1747750186,
			        493.12109375,
			        7.6
			    ],
			    [
			        1747750207,
			        493.37890625,
			        7.5
			    ],
			    [
			        1747750207,
			        493.37890625,
			        7.1
			    ],
			    [
			        1747750229,
			        491.546875,
			        7.7
			    ],
			    [
			        1747750229,
			        491.546875,
			        9.2
			    ],
			    [
			        1747750249,
			        492.36328125,
			        7.5
			    ],
			    [
			        1747750249,
			        492.36328125,
			        7.1
			    ],
			    [
			        1747750270,
			        492.3984375,
			        7.5
			    ],
			    [
			        1747750270,
			        492.3984375,
			        6.7
			    ],
			    [
			        1747750290,
			        492.39453125,
			        7.5
			    ],
			    [
			        1747750311,
			        492.53125,
			        7.5
			    ],
			    [
			        1747750311,
			        492.53125,
			        7.1
			    ],
			    [
			        1747750332,
			        492.60546875,
			        7.4
			    ],
			    [
			        1747750332,
			        492.60546875,
			        7.1
			    ],
			    [
			        1747750352,
			        489.75,
			        7.8
			    ],
			    [
			        1747750352,
			        489.75,
			        6.9
			    ],
			    [
			        1747750371,
			        490.5234375,
			        7.9
			    ],
			    [
			        1747750391,
			        490.57421875,
			        8
			    ],
			    [
			        1747750391,
			        490.57421875,
			        6.4
			    ],
			    [
			        1747750410,
			        490.6328125,
			        7.9
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout, no_height = 0) {
				layout["width"] = get_graph_width();
				if (!no_height) {
					layout["height"] = get_graph_height();
				}
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true,
					ellipsis: false
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_node";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',
						jitter: 0.5,
						pointpos: 0
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: get_axis_title_data("Generation Method")
					},
					boxmode: 'group'
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
					let text = el.textContent.toLowerCase();
					let color = text.includes("manual") ? "green" :
						text.includes("sobol") ? "orange" :
						text.includes("saasbo") ? "pink" :
						text.includes("uniform") ? "lightblue" :
						text.includes("legacy_gpei") ? "sienna" :
						text.includes("bo_mixed") ? "aqua" :
						text.includes("randomforest") ? "darkseagreen" :
						text.includes("external_generator") ? "purple" :
						text.includes("botorch") ? "yellow" : "";
					if (color !== "") {
						el.style.backgroundColor = color;
					}
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" :
						el.textContent.includes("ABANDONED") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			function demo_mode(nr_sec = 3) {
				let i = 0;
				let tabs = $('menu[role="tablist"] > button');
			
				setInterval(() => {
					tabs.attr('aria-selected', 'false').removeClass('active');
			
					let tab = tabs.eq(i % tabs.length);
					tab.attr('aria-selected', 'true').addClass('active');
			
					tab.trigger('click');
			
					i++;
				}, nr_sec * 1000);
			}
			
			function resizePlotlyCharts() {
				const plotlyElements = document.querySelectorAll('.js-plotly-plot');
			
				if (plotlyElements.length) {
					const windowWidth = window.innerWidth;
					const windowHeight = window.innerHeight;
			
					const newWidth = windowWidth * 0.9;
					const newHeight = windowHeight * 0.9;
			
					plotlyElements.forEach(function(element, index) {
						const layout = {
							width: newWidth,
							height: newHeight,
							plot_bgcolor: 'rgba(0, 0, 0, 0)',
							paper_bgcolor: 'rgba(0, 0, 0, 0)',
						};
			
						Plotly.relayout(element, layout)
					});
				}
			
				make_text_in_parallel_plot_nicer();
				apply_theme_based_on_system_preferences();
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			
			window.addEventListener('resize', function() {
				resizePlotlyCharts();
			});
			
			"use strict";
			
			function get_row_by_index(idx) {
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
			
				var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
			
				if(trial_index_col_idx == -1) {
					error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
			
					return null;
				}
			
				for (var i = 0; i < tab_results_csv_json.length; i++) {
					var row = tab_results_csv_json[i];
					var trial_index = row[trial_index_col_idx];
			
					if (trial_index == idx) {
						return row;
					}
				}
			
				return null;
			}
			
			function load_pareto_graph_from_idxs () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				if(pareto_idxs === null) {
					var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
					$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
					return;	
				}
			
				var table = get_pareto_table_data_from_idx();
			
				var html_tables = createParetoTablesFromData(table);
			
				$("#pareto_from_idxs_table").html(html_tables);
			
				renderParetoFrontPlots(table);
			
				apply_theme_based_on_system_preferences();
			}
			
			function renderParetoFrontPlots(data) {
				try {
					let container = document.getElementById("pareto_front_idxs_plot_container");
					if (!container) {
						console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
						return;
					}
			
					container.innerHTML = "";
			
					if(data === undefined || data === null) {
						var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
						$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
						return;
					}
			
					Object.keys(data).forEach((key, idx) => {
						if (!key.startsWith("Pareto front for ")) return;
			
						let label = key.replace("Pareto front for ", "");
						let [xKey, yKey] = label.split("/");
			
						if (!xKey || !yKey) {
							console.warn("Could not extract two objectives from key:", key);
							return;
						}
			
						let entries = data[key];
						let x = [];
						let y = [];
						let hoverTexts = [];
			
						entries.forEach((entry) => {
							let results = entry.results || {};
							let values = entry.values || {};
			
							let xVal = (results[xKey] || [])[0];
							let yVal = (results[yKey] || [])[0];
			
							if (xVal === undefined || yVal === undefined) {
								console.warn("Missing values for", xKey, yKey, "in", entry);
								return;
							}
			
							x.push(xVal);
							y.push(yVal);
			
							let hoverInfo = [];
			
							if ("trial_index" in values) {
								hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
							}
			
							Object.keys(values)
								.filter(k => k !== "trial_index")
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
								});
			
							Object.keys(results)
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
								});
			
							hoverTexts.push(hoverInfo.join("<br>"));
						});
			
						let wrapper = document.createElement("div");
						wrapper.style.marginBottom = "30px";
			
						let titleEl = document.createElement("h3");
						titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
						wrapper.appendChild(titleEl);
			
						let divId = `pareto_plot_${idx}`;
						let plotDiv = document.createElement("div");
						plotDiv.id = divId;
						plotDiv.style.width = "100%";
						plotDiv.style.height = "400px";
			
						wrapper.appendChild(plotDiv);
						container.appendChild(wrapper);
			
						let trace = {
							x: x,
							y: y,
							text: hoverTexts,
							hoverinfo: "text",
							mode: "markers",
							type: "scatter",
							marker: {
								size: 8,
								color: 'rgb(31, 119, 180)',
								line: {
									width: 1,
									color: 'black'
								}
							},
							name: label
						};
			
						let layout = {
							xaxis: { title: { text: xKey } },
							yaxis: { title: { text: yKey } },
							margin: { t: 10, l: 60, r: 20, b: 50 },
							hovermode: "closest",
							showlegend: false
						};
			
						Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
					});
				} catch (e) {
					console.error("Error while rendering Pareto front plots:", e);
				}
			}
			
			function createParetoTablesFromData(data) {
				try {
					var container = document.createElement("div");
			
					var parsedData;
					try {
						parsedData = typeof data === "string" ? JSON.parse(data) : data;
					} catch (e) {
						console.error("JSON parsing failed:", e);
						return container;
					}
			
					for (var sectionTitle in parsedData) {
						if (!parsedData.hasOwnProperty(sectionTitle)) {
							continue;
						}
			
						var sectionData = parsedData[sectionTitle];
						var heading = document.createElement("h2");
						heading.textContent = sectionTitle;
						container.appendChild(heading);
			
						var table = document.createElement("table");
						table.style.borderCollapse = "collapse";
						table.style.marginBottom = "2em";
						table.style.width = "100%";
			
						var thead = document.createElement("thead");
						var headerRow = document.createElement("tr");
			
						var allValueKeys = new Set();
						var allResultKeys = new Set();
			
						sectionData.forEach(entry => {
							var values = entry.values || {};
							var results = entry.results || {};
			
							Object.keys(values).forEach(key => {
								allValueKeys.add(key);
							});
			
							Object.keys(results).forEach(key => {
								allResultKeys.add(key);
							});
						});
			
						var sortedValueKeys = Array.from(allValueKeys).sort();
						var sortedResultKeys = Array.from(allResultKeys).sort();
			
						if (sortedValueKeys.includes("trial_index")) {
							sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
							sortedValueKeys.unshift("trial_index");
						}
			
						var allColumns = [...sortedValueKeys, ...sortedResultKeys];
			
						allColumns.forEach(col => {
							var th = document.createElement("th");
							th.textContent = col;
							th.style.border = "1px solid black";
							th.style.padding = "4px";
							headerRow.appendChild(th);
						});
			
						thead.appendChild(headerRow);
						table.appendChild(thead);
			
						var tbody = document.createElement("tbody");
			
						sectionData.forEach(entry => {
							var tr = document.createElement("tr");
			
							allColumns.forEach(col => {
								var td = document.createElement("td");
								td.style.border = "1px solid black";
								td.style.padding = "4px";
			
								var value = null;
			
								if (col in entry.values) {
									value = entry.values[col];
								} else if (col in entry.results) {
									value = entry.results[col];
								}
			
								if (Array.isArray(value)) {
									td.textContent = value.join(", ");
								} else {
									td.textContent = value !== null && value !== undefined ? value : "";
								}
			
								tr.appendChild(td);
							});
			
							tbody.appendChild(tr);
						});
			
						table.appendChild(tbody);
						container.appendChild(table);
					}
			
					return container;
				} catch (err) {
					console.error("Unexpected error:", err);
					var errorDiv = document.createElement("div");
					errorDiv.textContent = "Error generating tables.";
					return errorDiv;
				}
			}
			
			function get_pareto_table_data_from_idx () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				var x_keys = Object.keys(pareto_idxs);
			
				var tables = {};
			
				for (var i = 0; i < x_keys.length; i++) {
					var x_key = x_keys[i];
					var y_keys = Object.keys(pareto_idxs[x_key]);
			
					for (var j = 0; j < y_keys.length; j++) {
						var y_key = y_keys[j];
			
						var indices = pareto_idxs[x_key][y_key];
			
						for (var k = 0; k < indices.length; k++) {
							var idx = indices[k];
							var row = get_row_by_index(idx);
			
							if(row === null) {
								error(`Error getting the row for index ${idx}`);
								return;
							}
			
							var row_dict = {
								"results": {},
								"values": {},
							};
			
							for (var l = 0; l < tab_results_headers_json.length; l++) {
								var header = tab_results_headers_json[l];
			
								if (!special_col_names.includes(header) || header == "trial_index") {
									var val = row[l];
			
									if (result_names.includes(header)) {
										if (!Object.keys(row_dict["results"]).includes(header)) {
											row_dict["results"][header] = [];
										}
			
										row_dict["results"][header].push(val);
									} else {
										if (!Object.keys(row_dict["values"]).includes(header)) {
											row_dict["values"][header] = [];
										}
										row_dict["values"][header].push(val);
									}
								}
								
							}
			
							var table_key = `Pareto front for ${x_key}/${y_key}`;
			
							if(!Object.keys(tables).includes(table_key)) {
								tables[table_key] = [];
							}
			
							tables[table_key].push(row_dict);
						}
			
					}
				}
			
				return tables;
			}
			
			function getMinMaxByResultName(resultName) {
				try {
					if (typeof resultName !== "string") {
						error("Parameter resultName must be a string");
						return;
					}
			
					if (!Array.isArray(result_names)) {
						error("Global variable result_names is not an array or undefined");
						return;
					}
					if (!Array.isArray(result_min_max)) {
						error("Global variable result_min_max is not an array or undefined");
						return;
					}
			
					if (result_names.length !== result_min_max.length) {
						error("Global arrays result_names and result_min_max must have the same length");
						return;
					}
			
					var index = result_names.indexOf(resultName);
					if (index === -1) {
						error("Result name '" + resultName + "' not found in result_names");
						return;
					}
			
					var minMaxValue = result_min_max[index];
			
					if (minMaxValue !== "min" && minMaxValue !== "max") {
						error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
						return;
					}
			
					return minMaxValue;
			
				} catch (e) {
					error("Unexpected error: " + e.message);
				}
			}
			

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

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;Overview</h1>
			<button onclick="window.open('https://imageseg.scads.de/omniax/gui?partition=barnard&amp;experiment_name=vergl_botorch&amp;reservation=&amp;account=&amp;mem_gb=10&amp;time=720&amp;worker_timeout=30&amp;max_eval=2000&amp;num_parallel_jobs=50&amp;gpus=0&amp;num_random_steps=50&amp;follow=1&amp;live_share=1&amp;send_anonymized_usage_stats=1&amp;checkout_to_latest_tested_version=1&amp;constraints=&amp;result_names=RESULT%3Dmin&amp;run_program=bash%20%2Fdata%2Fhorse%2Fws%2Fpwinkler-oopt%2Frun.sh%20%25(epochs)%20%25(lr)%20%25(bsz)%20%25(da)%20%25(db)&amp;cpus_per_task=1&amp;nodes_per_job=1&amp;seed=&amp;verbose=0&amp;generate_all_jobs_at_once=1&amp;debug=0&amp;revert_to_random_when_seemingly_exhausted=1&amp;gridsearch=0&amp;model=BOTORCH_MODULAR&amp;external_generator=&amp;n_estimators_randomforest=100&amp;installation_method=clone&amp;run_mode=local&amp;decimalrounding=4&amp;disable_tqdm=0&amp;verbose_tqdm=0&amp;force_local_execution=0&amp;auto_exclude_defective_hosts=0&amp;show_sixel_general=0&amp;show_sixel_trial_index_result=0&amp;show_sixel_scatter=0&amp;show_worker_percentage_table_at_end=0&amp;enforce_sequential_optimization=0&amp;occ=0&amp;occ_type=euclid&amp;no_sleep=0&amp;slurm_use_srun=0&amp;verbose_break_run_search_table=0&amp;abbreviate_job_names=0&amp;main_process_gb=8&amp;max_nr_of_zero_results=50&amp;pareto_front_confidence=1&amp;slurm_signal_delay_s=0&amp;max_failed_jobs=0&amp;exclude=&amp;username=&amp;generation_strategy=&amp;root_venv_dir=&amp;workdir=&amp;parameter_0_name=epochs&amp;parameter_0_type=range&amp;parameter_0_min=10&amp;parameter_0_max=300&amp;parameter_0_number_type=int&amp;parameter_0_log_scale=false&amp;parameter_1_name=lr&amp;parameter_1_type=range&amp;parameter_1_min=0.001&amp;parameter_1_max=0.05&amp;parameter_1_number_type=float&amp;parameter_1_log_scale=false&amp;parameter_2_name=bsz&amp;parameter_2_type=range&amp;parameter_2_min=4&amp;parameter_2_max=32&amp;parameter_2_number_type=int&amp;parameter_2_log_scale=false&amp;parameter_3_name=da&amp;parameter_3_type=range&amp;parameter_3_min=10&amp;parameter_3_max=100&amp;parameter_3_number_type=int&amp;parameter_3_log_scale=false&amp;parameter_4_name=db&amp;parameter_4_type=range&amp;parameter_4_min=10&amp;parameter_4_max=150&amp;parameter_4_number_type=int&amp;parameter_4_log_scale=false&amp;partition=barnard&amp;num_parameters=5', '_blank')">GUI page with all the settings of this job</button><br><br><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>2000            </td></tr><tr><td> Number random steps</td><td>50              </td></tr><tr><td> Nr. of workers (parameter)</td><td>50              </td></tr><tr><td> Main process memory (GB)</td><td>8               </td></tr><tr><td> Worker memory (GB)</td><td>10              </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> epochs</td><td>range</td><td>10</td><td>300</td><td>int</td><td>No         </td></tr><tr><td> lr</td><td>range</td><td>0.001</td><td>0.05</td><td>float</td><td>No         </td></tr><tr><td> bsz</td><td>range</td><td>4</td><td>32</td><td>int</td><td>No         </td></tr><tr><td> da</td><td>range</td><td>10</td><td>100</td><td>int</td><td>No         </td></tr><tr><td> db</td><td>range</td><td>10</td><td>150</td><td>int</td><td>No         </td></tr></tbody></table><h2>Number of evaluations</h2>
			<table>
			<tbody>
			<tr>
			<th>Failed</th>
			<th>Succeeded</th>
			<th>Running</th>
			<th>Total</th>
			</tr>
			<tr>
			<td>0</td>
			<td>150</td>
			<td>0</td>
			<td>150</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types</h2>
			<table>
			<tr><th>name</th><th>min/max</th></tr>
			<tr>
			<td>RESULT</td>
			<td>min</td>
			</tr>
			</table>
			<h2>Last progressbar status</h2>
			<tt>2025-05-20 16:13:24: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 27 = &sum;27/50, new result: 0.3157894736842105</tt><br>
			<h2>Git-Version</h2>
			<tt>Commit: 65708727ebd0710687113edad1960c2f2b350ce4 (6494)
			</tt>
			<h1>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_node,RESULT,epochs,lr,bsz,da,db
0,0_0,COMPLETED,SOBOL,0.363157894736842123961650941055,215,0.038512815356254580245742857869,22,84,73
1,1_0,COMPLETED,SOBOL,0.363157894736842123961650941055,108,0.015938022834248839754156534809,4,36,97
2,2_0,COMPLETED,SOBOL,0.363157894736842123961650941055,41,0.033111474132165315265030614000,26,68,121
3,3_0,COMPLETED,SOBOL,0.210526315789473672523968161840,293,0.009077209090813994490920535441,15,30,29
4,4_0,COMPLETED,SOBOL,0.363157894736842123961650941055,253,0.025985500807873904843825485500,9,17,15
5,5_0,COMPLETED,SOBOL,0.342105263157894690095872647362,72,0.003965534205548465127022517152,21,61,135
6,6_0,COMPLETED,SOBOL,0.363157894736842123961650941055,149,0.045156125262379651075228537138,13,46,109
7,7_0,COMPLETED,SOBOL,0.273684210526315752076698117889,182,0.021533131316304209013079429269,31,100,61
8,8_0,COMPLETED,SOBOL,0.368421052631578982428095514479,170,0.034938093863427638341434544600,13,63,86
9,9_0,COMPLETED,SOBOL,0.221052631578947389456857308687,136,0.012622092448174953432937783759,30,14,66
10,10_0,COMPLETED,SOBOL,0.363157894736842123961650941055,49,0.041858533131890002243480353172,8,92,37
11,11_0,COMPLETED,SOBOL,0.205263157894736814057523588417,228,0.017939504372887313254913976834,20,54,131
12,12_0,COMPLETED,SOBOL,0.363157894736842123961650941055,278,0.046981061799451710736530429813,29,38,143
13,13_0,COMPLETED,SOBOL,0.352631578947368407028761794209,26,0.025079322202131153207727010113,17,82,25
14,14_0,COMPLETED,SOBOL,0.363157894736842123961650941055,86,0.029329911922104660165766532032,24,21,51
15,15_0,COMPLETED,SOBOL,0.226315789473684247923301882111,193,0.005968699668534100527539365544,7,76,101
16,16_0,COMPLETED,SOBOL,0.363157894736842123961650941055,208,0.030516341128386560710428199172,30,49,32
17,17_0,COMPLETED,SOBOL,0.294736842105263185942476411583,96,0.005547521986998617954389700913,11,96,118
18,18_0,COMPLETED,SOBOL,0.363157894736842123961650941055,12,0.049626962931826716640681951276,18,20,91
19,19_0,COMPLETED,SOBOL,0.357894736842105265495206367632,268,0.023198671134188771775219706228,8,57,79
20,20_0,COMPLETED,SOBOL,0.363157894736842123961650941055,245,0.042966082393191759591921652373,17,70,55
21,21_0,COMPLETED,SOBOL,0.331578947368421084185285963031,61,0.017597955047152936264298617175,28,27,115
22,22_0,COMPLETED,SOBOL,0.363157894736842123961650941055,119,0.037648669738322496081117662925,5,86,138
23,23_0,COMPLETED,SOBOL,0.289473684210526327476031838160,158,0.010677515048533679081765868091,24,33,12
24,24_0,COMPLETED,SOBOL,0.363157894736842123961650941055,181,0.045506554391235118361969114176,5,25,125
25,25_0,COMPLETED,SOBOL,0.294736842105263185942476411583,144,0.020416704442352058557208493994,23,72,43
26,26_0,COMPLETED,SOBOL,0.257894736842105287699666860135,73,0.027938956550322475991254833616,16,42,69
27,27_0,COMPLETED,SOBOL,0.400000000000000022204460492503,258,0.001246079257689416443233287879,26,78,84
28,28_0,COMPLETED,SOBOL,0.363157894736842123961650941055,290,0.033529567996039989774548217838,21,94,104
29,29_0,COMPLETED,SOBOL,0.342105263157894690095872647362,33,0.007893864432349802229271773513,11,52,48
30,30_0,COMPLETED,SOBOL,0.363157894736842123961650941055,112,0.040390381009317938287850324741,32,65,19
31,31_0,COMPLETED,SOBOL,0.363157894736842123961650941055,222,0.013295204789377745163703181674,14,12,149
32,32_0,COMPLETED,SOBOL,0.363157894736842123961650941055,225,0.032002595848403862788256191152,9,34,59
33,33_0,COMPLETED,SOBOL,0.305263157894736791853063095914,115,0.009432429737411440057170963769,19,89,111
34,34_0,COMPLETED,SOBOL,0.363157894736842123961650941055,29,0.038851442229002719486175010388,12,28,133
35,35_0,COMPLETED,SOBOL,0.363157894736842123961650941055,287,0.014821803461760284237325180356,30,72,17
36,36_0,COMPLETED,SOBOL,0.363157894736842123961650941055,264,0.043980000988580292275997862816,25,56,27
37,37_0,COMPLETED,SOBOL,0.363157894736842123961650941055,79,0.021955595032311977371497491163,6,18,123
38,38_0,COMPLETED,SOBOL,0.363157894736842123961650941055,138,0.026400439435616138150741960544,28,96,95
39,39_0,COMPLETED,SOBOL,0.310526315789473650319507669337,176,0.002773006135597825237704139312,18,47,75
40,40_0,COMPLETED,SOBOL,0.363157894736842123961650941055,164,0.041442097591236237708045564432,25,10,99
41,41_0,COMPLETED,SOBOL,0.363157894736842123961650941055,124,0.019133526252582671450808149416,15,65,53
42,42_0,COMPLETED,SOBOL,0.363157894736842123961650941055,56,0.036112724327482283170898114122,23,50,23
43,43_0,COMPLETED,SOBOL,0.357894736842105265495206367632,239,0.012201125645078719772484987516,4,93,145
44,44_0,COMPLETED,SOBOL,0.363157894736842123961650941055,271,0.028992775801569226068465923163,13,80,129
45,45_0,COMPLETED,SOBOL,0.394736842105263163738015919080,15,0.007083419207483530009861194543,31,43,39
46,46_0,COMPLETED,SOBOL,0.363157894736842123961650941055,93,0.048091439916752284911005688173,10,75,64
47,47_0,COMPLETED,SOBOL,0.326315789473684225718841389607,205,0.024722610666416587610338950753,20,25,89
48,48_0,COMPLETED,SOBOL,0.363157894736842123961650941055,197,0.048504673126153648177183441703,15,98,10
49,49_0,COMPLETED,SOBOL,0.363157894736842123961650941055,90,0.023543377521447840516888305729,27,45,141
50,50_0,COMPLETED,BOTORCH_MODULAR,0.210526315789473672523968161840,270,0.007496462857620130905422772827,13,54,37
51,51_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,206,0.018580191968796171131383943020,24,64,149
52,52_0,COMPLETED,BOTORCH_MODULAR,0.210526315789473672523968161840,228,0.019205537068883341694780497733,22,60,114
53,53_0,COMPLETED,BOTORCH_MODULAR,0.263157894736842146166111433558,264,0.007645076494056082284933584248,11,17,15
54,54_0,COMPLETED,BOTORCH_MODULAR,0.215789473684210530990412735264,293,0.007622216190276850933393859577,12,81,64
55,55_0,COMPLETED,BOTORCH_MODULAR,0.273684210526315752076698117889,256,0.007374182263328240248545508706,14,55,105
56,56_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,209,0.017730677120134034907561471073,24,29,139
57,57_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,249,0.018956831262533280213489206290,21,100,117
58,58_0,COMPLETED,BOTORCH_MODULAR,0.226315789473684247923301882111,210,0.018134186355114399746835118776,24,80,21
59,59_0,COMPLETED,BOTORCH_MODULAR,0.205263157894736814057523588417,238,0.019186158888778025166654828126,23,30,150
60,60_0,COMPLETED,BOTORCH_MODULAR,0.252631578947368429233222286712,299,0.007199924535050441359862460899,13,15,17
61,61_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,171,0.015949576969283528471432731521,27,57,114
62,62_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,291,0.007658675793229817105323142812,18,75,33
63,63_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,249,0.019005052508357052343246351711,18,44,96
64,64_0,COMPLETED,BOTORCH_MODULAR,0.268421052631578893610253544466,255,0.007460554260177230771755585437,11,94,118
65,65_0,COMPLETED,BOTORCH_MODULAR,0.242105263157894712300333139865,285,0.007556581272546691527280948719,11,19,108
66,66_0,COMPLETED,BOTORCH_MODULAR,0.289473684210526327476031838160,261,0.007478775160301866405110349234,17,17,88
67,67_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,240,0.007874477593012513612635849825,12,85,26
68,68_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,217,0.018926354419972594295140666532,24,26,71
69,69_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,256,0.018861427196533941952338864212,20,10,75
70,70_0,COMPLETED,BOTORCH_MODULAR,0.278947368421052610543142691313,215,0.006812226295170613864227160406,15,53,80
71,71_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,233,0.006217614722099881405248389399,12,100,10
72,72_0,COMPLETED,BOTORCH_MODULAR,0.205263157894736814057523588417,297,0.008624809966880779207865082014,10,19,15
73,73_0,COMPLETED,BOTORCH_MODULAR,0.284210526315789469009587264736,262,0.007519851997140713888156948741,6,71,42
74,74_0,COMPLETED,BOTORCH_MODULAR,0.289473684210526327476031838160,215,0.018478349194916202785643477569,26,63,143
75,75_0,COMPLETED,BOTORCH_MODULAR,0.278947368421052610543142691313,98,0.012617606914665400671959893941,32,81,79
76,76_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,299,0.007932413782095484866552226322,16,91,69
77,77_0,COMPLETED,BOTORCH_MODULAR,0.252631578947368429233222286712,210,0.006899569415199882649325502371,12,15,18
78,78_0,COMPLETED,BOTORCH_MODULAR,0.236842105263157853833888566442,218,0.019329759901366812963052765895,22,99,138
79,79_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,29,0.029301884808002092580592190529,8,27,44
80,80_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,196,0.006609580120544020394313111666,12,10,150
81,81_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,285,0.007115790633921306382325688844,14,16,98
82,82_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,266,0.018200081982399928665072863510,17,27,145
83,83_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,276,0.005756367011277506787192415061,7,46,13
84,84_0,COMPLETED,BOTORCH_MODULAR,0.231578947368421106389746455534,236,0.018191428847488880227167840076,17,96,138
85,85_0,COMPLETED,BOTORCH_MODULAR,0.210526315789473672523968161840,185,0.016867976402973518940120456477,26,99,18
86,86_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,249,0.005782727719504192863408942316,12,61,15
87,87_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,245,0.019063230595536842515436148915,24,99,145
88,88_0,COMPLETED,BOTORCH_MODULAR,0.321052631578947367252396816184,145,0.014934565492241777193149765424,30,83,38
89,89_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,149,0.014741442716167682883132705740,32,38,133
90,90_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,78,0.028540945551311831113183714592,8,29,115
91,91_0,COMPLETED,BOTORCH_MODULAR,0.252631578947368429233222286712,238,0.019753098301503273920287639953,23,40,51
92,92_0,COMPLETED,BOTORCH_MODULAR,0.273684210526315752076698117889,187,0.017269271781021992839821876942,28,45,109
93,93_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,193,0.017432097536603498311169602175,24,83,125
94,94_0,COMPLETED,BOTORCH_MODULAR,0.352631578947368407028761794209,258,0.007888561976878491824316519399,23,45,20
95,95_0,COMPLETED,BOTORCH_MODULAR,0.300000000000000044408920985006,128,0.013237760994526394722758944056,32,86,150
96,96_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,214,0.019517726077636510934043556631,20,34,135
97,97_0,COMPLETED,BOTORCH_MODULAR,0.226315789473684247923301882111,235,0.018694706024350585954474368577,21,94,41
98,98_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,199,0.018454427148746507109100534194,23,10,135
99,99_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,269,0.018613859487177048662731593254,20,91,15
100,100_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.012480270788173824722533389320,19,10,62
101,101_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.012824551963462507697677494889,18,100,10
102,102_0,COMPLETED,BOTORCH_MODULAR,0.205263157894736814057523588417,300,0.011026625377822970794361445712,17,10,150
103,103_0,COMPLETED,BOTORCH_MODULAR,0.273684210526315752076698117889,300,0.001000000000000000020816681712,4,10,125
104,104_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,300,0.011656794357371746614915331008,17,100,150
105,105_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.013126491186955498505217754257,15,10,53
106,106_0,COMPLETED,BOTORCH_MODULAR,0.347368421052631548562317220785,12,0.020788641162496158953931768565,32,10,10
107,107_0,COMPLETED,BOTORCH_MODULAR,0.242105263157894712300333139865,300,0.013415054619962967288882005334,20,10,10
108,108_0,COMPLETED,BOTORCH_MODULAR,0.426315789473684203514380897104,300,0.001000000000000000020816681712,4,72,38
109,109_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,300,0.013122758870489303895112698228,28,100,143
110,110_0,COMPLETED,BOTORCH_MODULAR,0.278947368421052610543142691313,300,0.019467937238025409540931320862,31,10,40
111,111_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.001000000000000000020816681712,12,74,150
112,112_0,COMPLETED,BOTORCH_MODULAR,0.205263157894736814057523588417,300,0.010115099163588854927486870849,21,10,150
113,113_0,COMPLETED,BOTORCH_MODULAR,0.205263157894736814057523588417,300,0.006418381700557950104990556639,4,23,133
114,114_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,143,0.014528886353966676686644277083,21,10,10
115,115_0,COMPLETED,BOTORCH_MODULAR,0.336842105263157942651730536454,59,0.001000000000000000020816681712,4,44,46
116,116_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,300,0.012985621954074081166319309943,14,100,21
117,117_0,COMPLETED,BOTORCH_MODULAR,0.273684210526315752076698117889,300,0.004200623124357016555108224054,9,100,150
118,118_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,300,0.016215385120840201255143497860,26,100,34
119,119_0,COMPLETED,BOTORCH_MODULAR,0.378947368421052588338682198810,300,0.001000000000000000020816681712,4,100,144
120,120_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.012006915962153377752663629963,22,100,10
121,121_0,COMPLETED,BOTORCH_MODULAR,0.331578947368421084185285963031,300,0.010649232891532295700032229036,9,100,131
122,122_0,COMPLETED,BOTORCH_MODULAR,0.226315789473684247923301882111,300,0.011382068036042502709448420717,16,10,10
123,123_0,COMPLETED,BOTORCH_MODULAR,0.347368421052631548562317220785,70,0.014681492020967154207844451719,19,100,10
124,124_0,COMPLETED,BOTORCH_MODULAR,0.484210526315789424600666279730,300,0.001000000000000000020816681712,14,100,10
125,125_0,COMPLETED,BOTORCH_MODULAR,0.257894736842105287699666860135,289,0.013927838814426345484531744034,7,94,46
126,126_0,COMPLETED,BOTORCH_MODULAR,0.257894736842105287699666860135,300,0.010212014219220862110137915124,22,28,10
127,127_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,10,0.050000000000000002775557561563,32,13,15
128,128_0,COMPLETED,BOTORCH_MODULAR,0.315789473684210508785952242761,300,0.001000000000000000020816681712,10,10,150
129,129_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.010770196782853468792096052198,11,10,122
130,130_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,10,0.050000000000000002775557561563,32,100,150
131,131_0,COMPLETED,BOTORCH_MODULAR,0.236842105263157853833888566442,255,0.014015335446575414093950406880,32,10,13
132,132_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,52,0.013835659574635993454561067040,20,10,146
133,133_0,COMPLETED,BOTORCH_MODULAR,0.321052631578947367252396816184,300,0.001000000000000000020816681712,4,10,10
134,134_0,COMPLETED,BOTORCH_MODULAR,0.305263157894736791853063095914,11,0.005054453714667562526374755549,9,64,148
135,135_0,COMPLETED,BOTORCH_MODULAR,0.236842105263157853833888566442,128,0.016058153151853687967687278615,16,10,10
136,136_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,300,0.016906189011529692417523662584,24,10,10
137,137_0,COMPLETED,BOTORCH_MODULAR,0.231578947368421106389746455534,173,0.014558425672782379992065138197,19,96,140
138,138_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,119,0.001000000000000000020816681712,4,18,150
139,139_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,298,0.016132348518329869824228239850,7,17,61
140,140_0,COMPLETED,BOTORCH_MODULAR,0.226315789473684247923301882111,300,0.011974093389918611177180629568,25,10,24
141,141_0,COMPLETED,BOTORCH_MODULAR,0.326315789473684225718841389607,84,0.001802655256010054531101705066,10,98,16
142,142_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.014084919345043725794064393142,19,10,150
143,143_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,300,0.011567346853173413046000916893,4,10,10
144,144_0,COMPLETED,BOTORCH_MODULAR,0.336842105263157942651730536454,300,0.007573017790446202879284243181,32,100,56
145,145_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,300,0.012164148696572516308855860245,21,100,126
146,146_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,10,0.014163568188661252930660161553,32,49,10
147,147_0,COMPLETED,BOTORCH_MODULAR,0.215789473684210530990412735264,300,0.008114591441693562792747407286,15,100,150
148,148_0,COMPLETED,BOTORCH_MODULAR,0.215789473684210530990412735264,300,0.012513265941276736220588716719,25,10,150
149,149_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,287,0.022880173036728228275205054842,32,100,16
</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;Progressbar log</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_progressbar_log")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_progressbar_log", "progressbar")'> Download &raquo;progressbar&laquo; as file</button>
<pre id='simple_pre_tab_tab_progressbar_log'>2025-05-20 14:45:10: SOBOL, Started OmniOpt2 run...
2025-05-20 14:45:15: SOBOL, getting new HP set #1/50
2025-05-20 14:45:18: Sobol, getting new HP set #2/50 | ETA: 15s
2025-05-20 14:45:20: Sobol, getting new HP set #3/50 | ETA: 11s
2025-05-20 14:45:22: Sobol, getting new HP set #4/50 | ETA: 9s 
2025-05-20 14:45:23: Sobol, getting new HP set #5/50 | ETA: 7s 
2025-05-20 14:45:25: Sobol, getting new HP set #6/50 | ETA: 6s 
2025-05-20 14:45:27: Sobol, getting new HP set #7/50 | ETA: 6s 
2025-05-20 14:45:28: Sobol, getting new HP set #8/50 | ETA: 6s 
2025-05-20 14:45:30: Sobol, getting new HP set #9/50 | ETA: 5s 
2025-05-20 14:45:33: Sobol, getting new HP set #10/50 | ETA: 5s
2025-05-20 14:45:35: Sobol, getting new HP set #11/50 | ETA: 5s
2025-05-20 14:45:36: Sobol, getting new HP set #12/50 | ETA: 5s
2025-05-20 14:45:38: Sobol, getting new HP set #13/50 | ETA: 4s
2025-05-20 14:45:40: Sobol, getting new HP set #14/50 | ETA: 4s
2025-05-20 14:45:42: Sobol, getting new HP set #15/50 | ETA: 4s
2025-05-20 14:45:44: Sobol, getting new HP set #16/50 | ETA: 4s
2025-05-20 14:45:45: Sobol, getting new HP set #17/50 | ETA: 4s
2025-05-20 14:45:48: Sobol, getting new HP set #18/50 | ETA: 4s
2025-05-20 14:45:50: Sobol, getting new HP set #19/50 | ETA: 3s
2025-05-20 14:45:52: Sobol, getting new HP set #20/50 | ETA: 3s
2025-05-20 14:45:54: Sobol, getting new HP set #21/50 | ETA: 3s
2025-05-20 14:45:56: Sobol, getting new HP set #22/50 | ETA: 3s
2025-05-20 14:45:57: Sobol, getting new HP set #23/50 | ETA: 3s
2025-05-20 14:46:00: Sobol, getting new HP set #24/50 | ETA: 3s
2025-05-20 14:46:02: Sobol, getting new HP set #25/50 | ETA: 3s
2025-05-20 14:46:04: Sobol, getting new HP set #26/50 | ETA: 3s
2025-05-20 14:46:06: Sobol, getting new HP set #27/50 | ETA: 2s
2025-05-20 14:46:07: Sobol, getting new HP set #28/50 | ETA: 2s
2025-05-20 14:46:09: Sobol, getting new HP set #29/50 | ETA: 2s
2025-05-20 14:46:11: Sobol, getting new HP set #30/50 | ETA: 2s
2025-05-20 14:46:13: Sobol, getting new HP set #31/50 | ETA: 2s
2025-05-20 14:46:15: Sobol, getting new HP set #32/50 | ETA: 2s
2025-05-20 14:46:16: Sobol, getting new HP set #33/50 | ETA: 2s
2025-05-20 14:46:18: Sobol, getting new HP set #34/50 | ETA: 2s
2025-05-20 14:46:20: Sobol, getting new HP set #35/50 | ETA: 1s
2025-05-20 14:46:22: Sobol, getting new HP set #36/50 | ETA: 1s
2025-05-20 14:46:24: Sobol, getting new HP set #37/50 | ETA: 1s
2025-05-20 14:46:26: Sobol, getting new HP set #38/50 | ETA: 1s
2025-05-20 14:46:28: Sobol, getting new HP set #39/50 | ETA: 1s
2025-05-20 14:46:29: Sobol, getting new HP set #40/50 | ETA: 1s
2025-05-20 14:46:31: Sobol, getting new HP set #41/50 | ETA: 1s
2025-05-20 14:46:33: Sobol, getting new HP set #42/50 | ETA: 1s
2025-05-20 14:46:35: Sobol, getting new HP set #43/50 | ETA: 0s
2025-05-20 14:46:38: Sobol, getting new HP set #44/50 | ETA: 0s
2025-05-20 14:46:39: Sobol, getting new HP set #45/50 | ETA: 0s
2025-05-20 14:46:41: Sobol, getting new HP set #46/50 | ETA: 0s
2025-05-20 14:46:43: Sobol, getting new HP set #47/50 | ETA: 0s
2025-05-20 14:46:45: Sobol, getting new HP set #48/50 | ETA: 0s
2025-05-20 14:46:46: Sobol, getting new HP set #49/50 | ETA: 0s
2025-05-20 14:46:49: Sobol, getting new HP set #50/50 | ETA: 0s
2025-05-20 14:46:51: Sobol, eval start                         
2025-05-20 14:46:53: Sobol, eval start                         
2025-05-20 14:46:55: Sobol, eval start                         
2025-05-20 14:46:57: Sobol, eval start                         
2025-05-20 14:46:59: Sobol, eval start                         
2025-05-20 14:47:01: Sobol, eval start                         
2025-05-20 14:47:03: Sobol, eval start                         
2025-05-20 14:47:05: Sobol, eval start                         
2025-05-20 14:47:08: Sobol, eval start                         
2025-05-20 14:47:10: Sobol, eval start                         
2025-05-20 14:47:12: Sobol, eval start                         
2025-05-20 14:47:13: Sobol, eval start                         
2025-05-20 14:47:15: Sobol, eval start                         
2025-05-20 14:47:17: Sobol, eval start                         
2025-05-20 14:47:19: Sobol, eval start                         
2025-05-20 14:47:20: Sobol, eval start                         
2025-05-20 14:47:24: Sobol, eval start                         
2025-05-20 14:47:26: Sobol, eval start                         
2025-05-20 14:47:27: Sobol, eval start                         
2025-05-20 14:47:29: Sobol, eval start                         
2025-05-20 14:47:31: Sobol, eval start                         
2025-05-20 14:47:33: Sobol, eval start                         
2025-05-20 14:47:35: Sobol, eval start                         
2025-05-20 14:47:36: Sobol, eval start                         
2025-05-20 14:47:38: Sobol, eval start                         
2025-05-20 14:47:40: Sobol, eval start                         
2025-05-20 14:47:41: Sobol, eval start                         
2025-05-20 14:47:44: Sobol, eval start                         
2025-05-20 14:47:45: Sobol, eval start                         
2025-05-20 14:47:47: Sobol, eval start                         
2025-05-20 14:47:49: Sobol, eval start                         
2025-05-20 14:47:51: Sobol, eval start                         
2025-05-20 14:47:53: Sobol, eval start                         
2025-05-20 14:47:54: Sobol, eval start                         
2025-05-20 14:47:56: Sobol, eval start                         
2025-05-20 14:47:58: Sobol, eval start                         
2025-05-20 14:48:00: Sobol, eval start                         
2025-05-20 14:48:02: Sobol, eval start                         
2025-05-20 14:48:03: Sobol, eval start                         
2025-05-20 14:48:05: Sobol, eval start                         
2025-05-20 14:48:07: Sobol, eval start                         
2025-05-20 14:48:09: Sobol, eval start                         
2025-05-20 14:48:10: Sobol, eval start                         
2025-05-20 14:48:12: Sobol, eval start                         
2025-05-20 14:48:14: Sobol, eval start                         
2025-05-20 14:48:16: Sobol, eval start                         
2025-05-20 14:48:18: Sobol, eval start                         
2025-05-20 14:48:19: Sobol, eval start                         
2025-05-20 14:48:21: Sobol, eval start                         
2025-05-20 14:48:23: Sobol, eval start                         
2025-05-20 14:48:25: Sobol, starting new job                   
2025-05-20 14:48:25: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:26: Sobol, starting new job                   
2025-05-20 14:48:27: Sobol, starting new job                   
2025-05-20 14:48:45: Sobol, unknown 8 = &sum;8/50, started new job 
2025-05-20 14:48:45: Sobol, unknown 9 = &sum;9/50, started new job 
2025-05-20 14:48:45: Sobol, unknown 8 = &sum;8/50, started new job 
2025-05-20 14:48:46: Sobol, unknown 11 = &sum;11/50, started new job
2025-05-20 14:48:46: Sobol, unknown 12 = &sum;12/50, started new job
2025-05-20 14:48:46: Sobol, unknown 10 = &sum;10/50, started new job
2025-05-20 14:48:46: Sobol, unknown 13 = &sum;13/50, started new job
2025-05-20 14:48:46: Sobol, unknown 9 = &sum;9/50, started new job  
2025-05-20 14:48:46: Sobol, unknown 14 = &sum;14/50, started new job
2025-05-20 14:48:47: Sobol, unknown 16 = &sum;16/50, started new job
2025-05-20 14:48:47: Sobol, unknown 16 = &sum;16/50, started new job
2025-05-20 14:48:48: Sobol, unknown 16 = &sum;16/50, started new job
2025-05-20 14:48:48: Sobol, unknown 16 = &sum;16/50, started new job
2025-05-20 14:48:48: Sobol, unknown 16 = &sum;16/50, started new job
2025-05-20 14:48:48: Sobol, unknown 16 = &sum;16/50, started new job
2025-05-20 14:48:49: Sobol, unknown 16 = &sum;16/50, started new job
2025-05-20 14:49:09: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:09: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:09: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:10: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:10: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:11: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:12: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:12: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:12: Sobol, running/pending 10/6 = &sum;16/50, starting new job
2025-05-20 14:49:33: Sobol, running/unknown 16/8 = &sum;24/50, started new job 
2025-05-20 14:49:33: Sobol, running/unknown 16/9 = &sum;25/50, started new job 
2025-05-20 14:49:34: Sobol, running/unknown 16/11 = &sum;27/50, started new job
2025-05-20 14:49:34: Sobol, running/unknown 16/11 = &sum;27/50, started new job
2025-05-20 14:49:34: Sobol, running/unknown 16/11 = &sum;27/50, started new job
2025-05-20 14:49:35: Sobol, running/unknown 16/13 = &sum;29/50, started new job
2025-05-20 14:49:35: Sobol, running/unknown 16/13 = &sum;29/50, started new job
2025-05-20 14:49:35: Sobol, running/pending/unknown 16/14/2 = &sum;32/50, started new job
2025-05-20 14:49:35: Sobol, running/pending/unknown 16/14/2 = &sum;32/50, started new job
2025-05-20 14:49:36: Sobol, running/unknown 16/13 = &sum;29/50, started new job          
2025-05-20 14:49:36: Sobol, running/pending/unknown 16/14/2 = &sum;32/50, started new job
2025-05-20 14:49:36: Sobol, running/unknown 16/14 = &sum;30/50, started new job          
2025-05-20 14:49:36: Sobol, running/pending/unknown 16/14/2 = &sum;32/50, started new job
2025-05-20 14:49:36: Sobol, running/pending/unknown 16/14/2 = &sum;32/50, started new job
2025-05-20 14:49:37: Sobol, running/pending/unknown 16/14/2 = &sum;32/50, started new job
2025-05-20 14:49:38: Sobol, running/pending/unknown 16/14/2 = &sum;32/50, started new job
2025-05-20 14:50:01: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:01: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:01: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:01: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:02: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:03: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:03: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:03: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:03: Sobol, completed/running/pending 7/19/6 = &sum;32/50, starting new job
2025-05-20 14:50:34: Sobol, completed/running/pending/unknown 24/8/3/5 = &sum;40/50, started new job
2025-05-20 14:50:34: Sobol, completed/running/pending/unknown 24/8/3/5 = &sum;40/50, started new job
2025-05-20 14:50:34: Sobol, completed/running/pending/unknown 24/8/3/5 = &sum;40/50, started new job
2025-05-20 14:50:34: Sobol, completed/running/pending/unknown 24/8/3/9 = &sum;44/50, started new job
2025-05-20 14:50:34: Sobol, completed/running/pending/unknown 24/8/3/4 = &sum;39/50, started new job
2025-05-20 14:50:34: Sobol, completed/running/pending/unknown 25/7/3/9 = &sum;44/50, started new job
2025-05-20 14:50:34: Sobol, completed/running/pending/unknown 25/7/3/9 = &sum;44/50, started new job
2025-05-20 14:50:35: Sobol, completed/running/pending/unknown 25/7/3/12 = &sum;47/50, started new job
2025-05-20 14:50:35: Sobol, completed/running/pending/unknown 25/7/3/13 = &sum;48/50, started new job
2025-05-20 14:50:35: Sobol, completed/running/pending/unknown 25/7/3/13 = &sum;48/50, started new job
2025-05-20 14:50:36: Sobol, completed/running/pending/unknown 25/7/3/13 = &sum;48/50, started new job
2025-05-20 14:50:36: Sobol, completed/running/pending/unknown 25/7/3/13 = &sum;48/50, started new job
2025-05-20 14:50:37: Sobol, completed/running/pending/unknown 25/7/3/13 = &sum;48/50, started new job
2025-05-20 14:50:37: Sobol, completed/running/pending/unknown 25/7/3/13 = &sum;48/50, started new job
2025-05-20 14:50:38: Sobol, completed/running/pending/unknown 25/7/3/13 = &sum;48/50, started new job
2025-05-20 14:50:38: Sobol, completed/running/pending/unknown 25/7/3/13 = &sum;48/50, started new job
2025-05-20 14:51:06: Sobol, completed/running/pending 32/10/6 = &sum;48/50, starting new job         
2025-05-20 14:51:06: Sobol, completed/running/pending 32/10/6 = &sum;48/50, starting new job         
2025-05-20 14:51:12: Sobol, completed/running/pending/unknown 32/10/6/2 = &sum;50/50, started new job
2025-05-20 14:51:12: Sobol, completed/running/pending/unknown 32/10/6/2 = &sum;50/50, started new job
2025-05-20 14:51:17: Sobol, completed/running/pending 38/4/8 = &sum;50/50, new result: 0.3631578947368421
2025-05-20 14:51:28: Sobol, best RESULT: 0.3631578947368421, completed/running/pending 39/2/8 = &sum;49/50, new result: 0.3631578947368421
2025-05-20 14:51:40: Sobol, best RESULT: 0.3631578947368421, completed/running 39/9 = &sum;48/50, new result: 0.3631578947368421          
2025-05-20 14:51:51: Sobol, best RESULT: 0.3631578947368421, completed/running 38/9 = &sum;47/50, new result: 0.2210526315789474          
2025-05-20 14:52:03: Sobol, best RESULT: 0.2210526315789474, completed/running 37/9 = &sum;46/50, new result: 0.368421052631579           
2025-05-20 14:52:14: Sobol, best RESULT: 0.2210526315789474, completed 45 = &sum;45/50, new result: 0.21052631578947367                   
2025-05-20 14:52:24: Sobol, best RESULT: 0.21052631578947367, completed 44 = &sum;44/50, new result: 0.3421052631578947                   
2025-05-20 14:52:34: Sobol, best RESULT: 0.21052631578947367, completed 43 = &sum;43/50, new result: 0.3526315789473684                   
2025-05-20 14:52:44: Sobol, best RESULT: 0.21052631578947367, completed 42 = &sum;42/50, new result: 0.3631578947368421                   
2025-05-20 14:52:54: Sobol, best RESULT: 0.21052631578947367, completed 41 = &sum;41/50, new result: 0.20526315789473681                  
2025-05-20 14:53:05: Sobol, best RESULT: 0.20526315789473681, completed 40 = &sum;40/50, new result: 0.3631578947368421                   
2025-05-20 14:53:16: Sobol, best RESULT: 0.20526315789473681, completed 39 = &sum;39/50, new result: 0.3631578947368421                   
2025-05-20 14:53:26: Sobol, best RESULT: 0.20526315789473681, completed 38 = &sum;38/50, new result: 0.3631578947368421                   
2025-05-20 14:53:38: Sobol, best RESULT: 0.20526315789473681, completed 37 = &sum;37/50, new result: 0.3631578947368421                   
2025-05-20 14:53:51: Sobol, best RESULT: 0.20526315789473681, completed 36 = &sum;36/50, new result: 0.27368421052631575                  
2025-05-20 14:54:01: Sobol, best RESULT: 0.20526315789473681, completed 35 = &sum;35/50, new result: 0.22631578947368425                  
2025-05-20 14:54:13: Sobol, best RESULT: 0.20526315789473681, completed 34 = &sum;34/50, new result: 0.35789473684210527                  
2025-05-20 14:54:23: Sobol, best RESULT: 0.20526315789473681, completed 33 = &sum;33/50, new result: 0.2947368421052632                   
2025-05-20 14:54:34: Sobol, best RESULT: 0.20526315789473681, completed 32 = &sum;32/50, new result: 0.3631578947368421                   
2025-05-20 14:54:44: Sobol, best RESULT: 0.20526315789473681, completed 31 = &sum;31/50, new result: 0.3631578947368421                   
2025-05-20 14:54:55: Sobol, best RESULT: 0.20526315789473681, completed 30 = &sum;30/50, new result: 0.3631578947368421                   
2025-05-20 14:55:06: Sobol, best RESULT: 0.20526315789473681, completed 29 = &sum;29/50, new result: 0.3631578947368421                   
2025-05-20 14:55:16: Sobol, best RESULT: 0.20526315789473681, completed 28 = &sum;28/50, new result: 0.2894736842105263                   
2025-05-20 14:55:26: Sobol, best RESULT: 0.20526315789473681, completed 27 = &sum;27/50, new result: 0.4                                  
2025-05-20 14:55:37: Sobol, best RESULT: 0.20526315789473681, completed 26 = &sum;26/50, new result: 0.3421052631578947                   
2025-05-20 14:55:47: Sobol, best RESULT: 0.20526315789473681, completed 25 = &sum;25/50, new result: 0.3631578947368421                   
2025-05-20 14:55:57: Sobol, best RESULT: 0.20526315789473681, completed 24 = &sum;24/50, new result: 0.2578947368421053                   
2025-05-20 14:56:08: Sobol, best RESULT: 0.20526315789473681, completed 23 = &sum;23/50, new result: 0.3315789473684211                   
2025-05-20 14:56:18: Sobol, best RESULT: 0.20526315789473681, completed 22 = &sum;22/50, new result: 0.3631578947368421                   
2025-05-20 14:56:28: Sobol, best RESULT: 0.20526315789473681, completed 21 = &sum;21/50, new result: 0.2947368421052632                   
2025-05-20 14:56:39: Sobol, best RESULT: 0.20526315789473681, completed 20 = &sum;20/50, new result: 0.3631578947368421                   
2025-05-20 14:56:49: Sobol, best RESULT: 0.20526315789473681, completed 19 = &sum;19/50, new result: 0.3631578947368421                   
2025-05-20 14:56:59: Sobol, best RESULT: 0.20526315789473681, completed 18 = &sum;18/50, new result: 0.3631578947368421                   
2025-05-20 14:57:25: Sobol, best RESULT: 0.20526315789473681, completed 17 = &sum;17/50, new result: 0.3631578947368421                   
2025-05-20 14:57:36: Sobol, best RESULT: 0.20526315789473681, completed 16 = &sum;16/50, new result: 0.3631578947368421                   
2025-05-20 14:57:46: Sobol, best RESULT: 0.20526315789473681, completed 15 = &sum;15/50, new result: 0.3631578947368421                   
2025-05-20 14:57:57: Sobol, best RESULT: 0.20526315789473681, completed 14 = &sum;14/50, new result: 0.3631578947368421                   
2025-05-20 14:58:09: Sobol, best RESULT: 0.20526315789473681, completed 13 = &sum;13/50, new result: 0.3631578947368421                   
2025-05-20 14:58:19: Sobol, best RESULT: 0.20526315789473681, completed 12 = &sum;12/50, new result: 0.3631578947368421                   
2025-05-20 14:58:29: Sobol, best RESULT: 0.20526315789473681, completed 11 = &sum;11/50, new result: 0.3631578947368421                   
2025-05-20 14:58:40: Sobol, best RESULT: 0.20526315789473681, completed 10 = &sum;10/50, new result: 0.3263157894736842                   
2025-05-20 14:58:50: Sobol, best RESULT: 0.20526315789473681, completed 9 = &sum;9/50, new result: 0.35789473684210527                    
2025-05-20 14:59:02: Sobol, best RESULT: 0.20526315789473681, completed 8 = &sum;8/50, new result: 0.39473684210526316                    
2025-05-20 14:59:13: Sobol, best RESULT: 0.20526315789473681, completed 7 = &sum;7/50, new result: 0.3631578947368421                     
2025-05-20 14:59:24: Sobol, best RESULT: 0.20526315789473681, completed 6 = &sum;6/50, new result: 0.31052631578947365                    
2025-05-20 14:59:34: Sobol, best RESULT: 0.20526315789473681, completed 5 = &sum;5/50, new result: 0.3631578947368421                     
2025-05-20 14:59:44: Sobol, best RESULT: 0.20526315789473681, completed 4 = &sum;4/50, new result: 0.3631578947368421                     
2025-05-20 14:59:54: Sobol, best RESULT: 0.20526315789473681, completed 3 = &sum;3/50, new result: 0.3052631578947368                     
2025-05-20 15:00:06: Sobol, best RESULT: 0.20526315789473681, completed 2 = &sum;2/50, new result: 0.3631578947368421                     
2025-05-20 15:00:16: Sobol, best RESULT: 0.20526315789473681, completed 1 = &sum;1/50, new result: 0.3631578947368421                     
2025-05-20 15:00:26: Sobol, best RESULT: 0.20526315789473681, finishing jobs, finished 50 jobs                                        
2025-05-20 15:00:32: Sobol, best RESULT: 0.20526315789473681, getting new HP set #1/50                                                
2025-05-20 15:00:42: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #2/50 | ETA: 5m 57s                       
2025-05-20 15:00:48: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #3/50 | ETA: 4m 4s                        
2025-05-20 15:00:53: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #4/50 | ETA: 3m 4s                        
2025-05-20 15:00:59: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #5/50 | ETA: 2m 44s                       
2025-05-20 15:01:03: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #6/50 | ETA: 2m 22s                       
2025-05-20 15:01:09: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #7/50 | ETA: 2m 10s                       
2025-05-20 15:01:14: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #8/50 | ETA: 2m 0s                        
2025-05-20 15:01:20: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #9/50 | ETA: 1m 54s                       
2025-05-20 15:01:25: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #10/50 | ETA: 1m 46s                      
2025-05-20 15:01:30: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #11/50 | ETA: 1m 42s                      
2025-05-20 15:01:36: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #12/50 | ETA: 1m 39s                      
2025-05-20 15:01:41: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #13/50 | ETA: 1m 35s                      
2025-05-20 15:01:46: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #14/50 | ETA: 1m 30s                      
2025-05-20 15:01:51: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #15/50 | ETA: 1m 26s                      
2025-05-20 15:01:57: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #16/50 | ETA: 1m 23s                      
2025-05-20 15:02:02: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #17/50 | ETA: 1m 19s                      
2025-05-20 15:02:07: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #18/50 | ETA: 1m 15s                      
2025-05-20 15:02:12: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #19/50 | ETA: 1m 12s                      
2025-05-20 15:02:19: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #20/50 | ETA: 1m 13s                      
2025-05-20 15:02:24: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #21/50 | ETA: 1m 9s                       
2025-05-20 15:02:29: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #22/50 | ETA: 1m 6s                       
2025-05-20 15:02:35: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #23/50 | ETA: 1m 3s                       
2025-05-20 15:02:40: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #24/50 | ETA: 1m 1s                       
2025-05-20 15:02:46: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #25/50 | ETA: 59s                         
2025-05-20 15:02:51: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #26/50 | ETA: 56s                         
2025-05-20 15:02:56: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #27/50 | ETA: 53s                         
2025-05-20 15:03:02: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #28/50 | ETA: 51s                         
2025-05-20 15:03:07: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #29/50 | ETA: 49s                         
2025-05-20 15:03:12: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #30/50 | ETA: 46s                         
2025-05-20 15:03:17: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #31/50 | ETA: 43s                         
2025-05-20 15:03:22: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #32/50 | ETA: 41s                         
2025-05-20 15:03:28: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #33/50 | ETA: 39s                         
2025-05-20 15:03:35: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #34/50 | ETA: 37s                         
2025-05-20 15:03:41: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #35/50 | ETA: 35s                         
2025-05-20 15:03:46: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #36/50 | ETA: 32s                         
2025-05-20 15:03:52: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #37/50 | ETA: 30s                         
2025-05-20 15:03:59: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #38/50 | ETA: 29s                         
2025-05-20 15:04:04: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #39/50 | ETA: 26s                         
2025-05-20 15:04:09: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #40/50 | ETA: 24s                         
2025-05-20 15:04:16: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #41/50 | ETA: 22s                         
2025-05-20 15:04:21: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #42/50 | ETA: 19s                         
2025-05-20 15:04:26: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #43/50 | ETA: 17s                         
2025-05-20 15:04:32: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #44/50 | ETA: 15s                         
2025-05-20 15:04:37: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #45/50 | ETA: 13s                         
2025-05-20 15:04:43: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #46/50 | ETA: 10s                         
2025-05-20 15:04:50: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #47/50 | ETA: 8s                          
2025-05-20 15:04:55: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #48/50 | ETA: 6s                          
2025-05-20 15:05:00: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #49/50 | ETA: 4s                          
2025-05-20 15:05:11: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #50/50 | ETA: 2s                          
2025-05-20 15:05:16: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:20: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:23: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:27: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:30: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:33: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:37: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:40: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:43: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:46: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:49: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:52: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:56: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:05:59: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:02: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:06: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:09: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:12: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:16: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:19: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:22: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:25: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:28: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:32: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:35: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:38: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:41: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:45: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:49: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:52: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:55: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:06:58: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:01: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:04: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:08: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:11: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:15: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:19: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:22: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:26: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:29: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:32: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:35: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:38: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:42: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:45: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:49: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:52: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:56: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:07:59: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                   
2025-05-20 15:08:03: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:03: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:04: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                             
2025-05-20 15:08:42: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 8 = &sum;8/50, started new job                           
2025-05-20 15:08:42: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 8 = &sum;8/50, started new job                           
2025-05-20 15:08:42: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 9 = &sum;9/50, started new job                           
2025-05-20 15:08:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 10 = &sum;10/50, started new job                         
2025-05-20 15:08:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 11 = &sum;11/50, started new job                         
2025-05-20 15:08:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 11 = &sum;11/50, started new job                         
2025-05-20 15:08:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 10 = &sum;10/50, started new job                         
2025-05-20 15:08:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 12 = &sum;12/50, started new job                         
2025-05-20 15:08:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 14 = &sum;14/50, started new job                         
2025-05-20 15:08:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = &sum;16/50, started new job                         
2025-05-20 15:08:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = &sum;16/50, started new job                         
2025-05-20 15:08:45: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = &sum;16/50, started new job                         
2025-05-20 15:08:45: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = &sum;16/50, started new job                         
2025-05-20 15:08:45: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = &sum;16/50, started new job                         
2025-05-20 15:08:46: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = &sum;16/50, started new job                         
2025-05-20 15:08:46: BoTorchGenerator, best RESULT: 0.20526315789473681, pending/unknown 12/4 = &sum;16/50, started new job               
2025-05-20 15:09:22: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:22: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:22: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:23: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:23: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:23: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:23: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:24: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:24: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:24: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:24: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:24: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:25: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:25: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:25: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:09:26: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job              
2025-05-20 15:10:08: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/7 = &sum;23/50, started new job   
2025-05-20 15:10:08: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/9 = &sum;25/50, started new job   
2025-05-20 15:10:08: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/8 = &sum;24/50, started new job   
2025-05-20 15:10:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/10 = &sum;26/50, started new job  
2025-05-20 15:10:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/10 = &sum;26/50, started new job  
2025-05-20 15:10:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/12 = &sum;28/50, started new job  
2025-05-20 15:10:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/14 = &sum;30/50, started new job  
2025-05-20 15:10:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 6/10/14 = &sum;30/50, started new job  
2025-05-20 15:10:10: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/14 = &sum;30/50, started new job   
2025-05-20 15:10:10: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/14 = &sum;30/50, started new job   
2025-05-20 15:10:11: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/16 = &sum;32/50, started new job   
2025-05-20 15:10:11: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/16 = &sum;32/50, started new job   
2025-05-20 15:10:11: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/16 = &sum;32/50, started new job   
2025-05-20 15:10:12: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/16 = &sum;32/50, started new job   
2025-05-20 15:10:12: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/16 = &sum;32/50, started new job   
2025-05-20 15:10:12: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 8/8/16 = &sum;32/50, started new job   
2025-05-20 15:10:59: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:01: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:01: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:01: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 27/5 = &sum;32/50, starting new job            
2025-05-20 15:11:54: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/5 = &sum;44/50, started new job   
2025-05-20 15:11:54: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/5 = &sum;44/50, started new job   
2025-05-20 15:11:54: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/5 = &sum;44/50, started new job   
2025-05-20 15:11:54: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/5 = &sum;44/50, started new job   
2025-05-20 15:11:55: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/5 = &sum;44/50, started new job   
2025-05-20 15:11:55: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = &sum;48/50, started new job   
2025-05-20 15:11:55: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = &sum;48/50, started new job   
2025-05-20 15:11:55: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = &sum;48/50, started new job   
2025-05-20 15:11:55: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = &sum;48/50, started new job   
2025-05-20 15:11:56: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = &sum;48/50, started new job   
2025-05-20 15:11:56: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = &sum;48/50, started new job   
2025-05-20 15:11:56: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = &sum;48/50, started new job   
2025-05-20 15:11:56: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = &sum;48/50, started new job   
2025-05-20 15:11:57: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = &sum;48/50, started new job   
2025-05-20 15:11:57: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = &sum;48/50, started new job   
2025-05-20 15:11:58: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/7/9 = &sum;48/50, started new job   
2025-05-20 15:12:49: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 42/6 = &sum;48/50, starting new job            
2025-05-20 15:12:49: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 42/6 = &sum;48/50, starting new job            
2025-05-20 15:12:58: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 42/6/2 = &sum;50/50, started new job   
2025-05-20 15:12:58: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 42/6/2 = &sum;50/50, started new job   
2025-05-20 15:13:07: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/pending 45/3/2 = &sum;50/50, new result: 0.21052631578947367
2025-05-20 15:13:23: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 47/2 = &sum;49/50, new result: 0.2210526315789474           
2025-05-20 15:13:38: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 48 = &sum;48/50, new result: 0.27368421052631575                    
2025-05-20 15:13:54: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 47 = &sum;47/50, new result: 0.2421052631578947                     
2025-05-20 15:14:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 46 = &sum;46/50, new result: 0.3631578947368421                     
2025-05-20 15:14:25: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 45 = &sum;45/50, new result: 0.35789473684210527                    
2025-05-20 15:14:40: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 44 = &sum;44/50, new result: 0.26315789473684215                    
2025-05-20 15:14:56: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 43 = &sum;43/50, new result: 0.3631578947368421                     
2025-05-20 15:15:11: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 42 = &sum;42/50, new result: 0.22631578947368425                    
2025-05-20 15:15:27: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 41 = &sum;41/50, new result: 0.2684210526315789                     
2025-05-20 15:15:43: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 40 = &sum;40/50, new result: 0.21578947368421053                    
2025-05-20 15:15:59: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 39 = &sum;39/50, new result: 0.21052631578947367                    
2025-05-20 15:16:17: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 38 = &sum;38/50, new result: 0.20526315789473681                    
2025-05-20 15:16:36: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 37 = &sum;37/50, new result: 0.25263157894736843                    
2025-05-20 15:16:52: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 36 = &sum;36/50, new result: 0.3631578947368421                     
2025-05-20 15:17:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 35 = &sum;35/50, new result: 0.2210526315789474                     
2025-05-20 15:17:24: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 34 = &sum;34/50, new result: 0.35789473684210527                    
2025-05-20 15:17:40: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 33 = &sum;33/50, new result: 0.24736842105263157                    
2025-05-20 15:19:04: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 32 = &sum;32/50, new result: 0.3631578947368421                     
2025-05-20 15:20:30: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 31 = &sum;31/50, new result: 0.2894736842105263                     
2025-05-20 15:21:59: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 30 = &sum;30/50, new result: 0.20526315789473681                    
2025-05-20 15:23:44: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 29 = &sum;29/50, new result: 0.3631578947368421                     
2025-05-20 15:25:11: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 28 = &sum;28/50, new result: 0.25263157894736843                    
2025-05-20 15:26:37: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 27 = &sum;27/50, new result: 0.2894736842105263                     
2025-05-20 15:28:03: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 26 = &sum;26/50, new result: 0.23684210526315785                    
2025-05-20 15:29:31: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 25 = &sum;25/50, new result: 0.3631578947368421                     
2025-05-20 15:31:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 24 = &sum;24/50, new result: 0.2789473684210526                     
2025-05-20 15:32:30: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 23 = &sum;23/50, new result: 0.2789473684210526                     
2025-05-20 15:34:01: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 22 = &sum;22/50, new result: 0.3631578947368421                     
2025-05-20 15:35:32: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 21 = &sum;21/50, new result: 0.24736842105263157                    
2025-05-20 15:37:23: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 20 = &sum;20/50, new result: 0.2210526315789474                     
2025-05-20 15:37:38: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 19 = &sum;19/50, new result: 0.28421052631578947                    
2025-05-20 15:37:55: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 18 = &sum;18/50, new result: 0.21052631578947367                    
2025-05-20 15:38:11: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 17 = &sum;17/50, new result: 0.35789473684210527                    
2025-05-20 15:38:27: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 16 = &sum;16/50, new result: 0.3631578947368421                     
2025-05-20 15:38:43: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 15 = &sum;15/50, new result: 0.27368421052631575                    
2025-05-20 15:38:59: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 14 = &sum;14/50, new result: 0.3631578947368421                     
2025-05-20 15:39:15: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 13 = &sum;13/50, new result: 0.32105263157894737                    
2025-05-20 15:39:29: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 12 = &sum;12/50, new result: 0.22631578947368425                    
2025-05-20 15:39:45: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 11 = &sum;11/50, new result: 0.30000000000000004                    
2025-05-20 15:40:01: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 10 = &sum;10/50, new result: 0.25263157894736843                    
2025-05-20 15:40:18: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 9 = &sum;9/50, new result: 0.3631578947368421                       
2025-05-20 15:40:32: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 8 = &sum;8/50, new result: 0.2210526315789474                       
2025-05-20 15:40:48: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 7 = &sum;7/50, new result: 0.2210526315789474                       
2025-05-20 15:41:04: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 6 = &sum;6/50, new result: 0.3631578947368421                       
2025-05-20 15:41:19: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 5 = &sum;5/50, new result: 0.3526315789473684                       
2025-05-20 15:41:35: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 4 = &sum;4/50, new result: 0.2315789473684211                       
2025-05-20 15:41:52: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 3 = &sum;3/50, new result: 0.3631578947368421                       
2025-05-20 15:42:09: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 2 = &sum;2/50, new result: 0.3631578947368421                       
2025-05-20 15:42:26: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 1 = &sum;1/50, new result: 0.3631578947368421                       
2025-05-20 15:42:42: BoTorchGenerator, best RESULT: 0.20526315789473681, finishing jobs, finished 50 jobs                                          
2025-05-20 15:42:49: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #1/50                                                  
2025-05-20 15:43:00: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #2/50 | ETA: 4m 11s                                    
2025-05-20 15:43:09: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #3/50 | ETA: 3m 47s                                    
2025-05-20 15:43:22: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #4/50 | ETA: 4m 16s                                    
2025-05-20 15:43:35: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #5/50 | ETA: 4m 38s                                    
2025-05-20 15:43:46: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #6/50 | ETA: 4m 26s                                    
2025-05-20 15:44:02: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #7/50 | ETA: 4m 55s                                    
2025-05-20 15:44:16: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #8/50 | ETA: 4m 53s                                    
2025-05-20 15:44:28: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #9/50 | ETA: 4m 43s                                    
2025-05-20 15:44:38: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #10/50 | ETA: 4m 27s                                   
2025-05-20 15:44:49: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #11/50 | ETA: 4m 14s                                   
2025-05-20 15:45:00: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #12/50 | ETA: 4m 5s                                    
2025-05-20 15:45:20: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #13/50 | ETA: 4m 21s                                   
2025-05-20 15:45:33: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #14/50 | ETA: 4m 17s                                   
2025-05-20 15:45:51: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #15/50 | ETA: 4m 19s                                   
2025-05-20 15:46:05: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #16/50 | ETA: 4m 12s                                   
2025-05-20 15:46:18: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #17/50 | ETA: 4m 3s                                    
2025-05-20 15:46:47: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #18/50 | ETA: 4m 23s                                   
2025-05-20 15:47:03: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #19/50 | ETA: 4m 19s                                   
2025-05-20 15:47:21: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #20/50 | ETA: 4m 16s                                   
2025-05-20 15:47:33: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #21/50 | ETA: 4m 4s                                    
2025-05-20 15:47:51: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #22/50 | ETA: 4m 1s                                    
2025-05-20 15:48:06: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #23/50 | ETA: 3m 53s                                   
2025-05-20 15:48:21: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #24/50 | ETA: 3m 44s                                   
2025-05-20 15:48:32: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #25/50 | ETA: 3m 33s                                   
2025-05-20 15:48:45: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #26/50 | ETA: 3m 24s                                   
2025-05-20 15:49:00: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #27/50 | ETA: 3m 17s                                   
2025-05-20 15:49:13: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #28/50 | ETA: 3m 9s                                    
2025-05-20 15:49:24: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #29/50 | ETA: 2m 58s                                   
2025-05-20 15:49:38: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #30/50 | ETA: 2m 51s                                   
2025-05-20 15:49:56: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #31/50 | ETA: 2m 47s                                   
2025-05-20 15:50:05: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #32/50 | ETA: 2m 36s                                   
2025-05-20 15:50:28: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #33/50 | ETA: 2m 33s                                   
2025-05-20 15:50:44: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #34/50 | ETA: 2m 25s                                   
2025-05-20 15:50:56: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #35/50 | ETA: 2m 16s                                   
2025-05-20 15:51:05: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #36/50 | ETA: 2m 6s                                    
2025-05-20 15:51:20: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #37/50 | ETA: 1m 58s                                   
2025-05-20 15:51:39: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #38/50 | ETA: 1m 52s                                   
2025-05-20 15:51:47: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #39/50 | ETA: 1m 41s                                   
2025-05-20 15:52:02: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #40/50 | ETA: 1m 33s                                   
2025-05-20 15:52:12: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #41/50 | ETA: 1m 24s                                   
2025-05-20 15:52:27: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #42/50 | ETA: 1m 16s                                   
2025-05-20 15:52:44: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #43/50 | ETA: 1m 8s                                    
2025-05-20 15:52:58: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #44/50 | ETA: 59s                                      
2025-05-20 15:53:11: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #45/50 | ETA: 51s                                      
2025-05-20 15:53:19: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #46/50 | ETA: 42s                                      
2025-05-20 15:53:35: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #47/50 | ETA: 33s                                      
2025-05-20 15:53:50: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #48/50 | ETA: 25s                                      
2025-05-20 15:54:11: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #49/50 | ETA: 17s                                      
2025-05-20 15:54:25: BoTorchGenerator, best RESULT: 0.20526315789473681, getting new HP set #50/50 | ETA: 8s                                       
2025-05-20 15:54:45: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:54:50: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:54:54: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:54:59: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:04: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:09: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:14: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:18: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:23: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:27: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:32: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:36: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:41: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:46: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:50: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:55:55: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:00: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:04: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:09: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:14: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:19: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:24: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:28: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:33: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:38: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:43: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:47: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:52: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:56:57: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:01: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:06: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:14: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:20: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:24: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:29: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:35: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:40: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:45: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:49: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:54: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:57:58: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:03: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:08: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:12: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:17: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:22: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:27: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:31: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:36: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:41: BoTorchGenerator, best RESULT: 0.20526315789473681, eval start                                                                
2025-05-20 15:58:46: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:46: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:46: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:46: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:58:47: BoTorchGenerator, best RESULT: 0.20526315789473681, starting new job                                                          
2025-05-20 15:59:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 8 = &sum;8/50, started new job                                        
2025-05-20 15:59:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 10 = &sum;10/50, started new job                                      
2025-05-20 15:59:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 10 = &sum;10/50, started new job                                      
2025-05-20 15:59:43: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 12 = &sum;12/50, started new job                                      
2025-05-20 15:59:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 12 = &sum;12/50, started new job                                      
2025-05-20 15:59:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 12 = &sum;12/50, started new job                                      
2025-05-20 15:59:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 12 = &sum;12/50, started new job                                      
2025-05-20 15:59:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 13 = &sum;13/50, started new job                                      
2025-05-20 15:59:44: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 14 = &sum;14/50, started new job                                      
2025-05-20 15:59:45: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = &sum;16/50, started new job                                      
2025-05-20 15:59:45: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = &sum;16/50, started new job                                      
2025-05-20 15:59:45: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = &sum;16/50, started new job                                      
2025-05-20 15:59:46: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = &sum;16/50, started new job                                      
2025-05-20 15:59:46: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = &sum;16/50, started new job                                      
2025-05-20 15:59:47: BoTorchGenerator, best RESULT: 0.20526315789473681, unknown 16 = &sum;16/50, started new job                                      
2025-05-20 15:59:47: BoTorchGenerator, best RESULT: 0.20526315789473681, pending/unknown 14/2 = &sum;16/50, started new job                            
2025-05-20 16:00:42: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:42: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:42: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:42: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:00:43: BoTorchGenerator, best RESULT: 0.20526315789473681, running/pending 10/6 = &sum;16/50, starting new job                           
2025-05-20 16:01:46: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/12 = &sum;28/50, started new job                         
2025-05-20 16:01:46: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/13 = &sum;29/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/14 = &sum;30/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/13 = &sum;29/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/13 = &sum;29/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/13 = &sum;29/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/13 = &sum;29/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/16 = &sum;32/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/13 = &sum;29/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/15 = &sum;31/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/16 = &sum;32/50, started new job                         
2025-05-20 16:01:47: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/16 = &sum;32/50, started new job                         
2025-05-20 16:01:48: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/16 = &sum;32/50, started new job                         
2025-05-20 16:01:49: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/16 = &sum;32/50, started new job                         
2025-05-20 16:01:49: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/16 = &sum;32/50, started new job                         
2025-05-20 16:01:49: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 16/16 = &sum;32/50, started new job                         
2025-05-20 16:02:50: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:50: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:50: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:50: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:50: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:50: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:50: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:51: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:51: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:51: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:51: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:52: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:52: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:52: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:52: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:02:52: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 26/6 = &sum;32/50, starting new job                         
2025-05-20 16:03:59: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 32/7 = &sum;39/50, started new job                          
2025-05-20 16:04:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 32/9 = &sum;41/50, started new job                          
2025-05-20 16:04:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/1 = &sum;41/50, started new job                
2025-05-20 16:04:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/2 = &sum;42/50, started new job                
2025-05-20 16:04:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/unknown 32/8 = &sum;40/50, started new job                          
2025-05-20 16:04:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/2 = &sum;42/50, started new job                
2025-05-20 16:04:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/3 = &sum;43/50, started new job                
2025-05-20 16:04:02: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/5 = &sum;45/50, started new job                
2025-05-20 16:04:02: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/7 = &sum;47/50, started new job                
2025-05-20 16:04:02: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/7 = &sum;47/50, started new job                
2025-05-20 16:04:02: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/8 = &sum;48/50, started new job                
2025-05-20 16:04:03: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/8 = &sum;48/50, started new job                
2025-05-20 16:04:03: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/8 = &sum;48/50, started new job                
2025-05-20 16:04:04: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/8 = &sum;48/50, started new job                
2025-05-20 16:04:04: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/8 = &sum;48/50, started new job                
2025-05-20 16:04:04: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/pending/unknown 32/8/8 = &sum;48/50, started new job                
2025-05-20 16:05:10: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 44/4 = &sum;48/50, starting new job                         
2025-05-20 16:05:10: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 44/4 = &sum;48/50, starting new job                         
2025-05-20 16:05:23: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 46/2/1 = &sum;49/50, started new job                
2025-05-20 16:05:26: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/unknown 47/2/1 = &sum;50/50, started new job                
2025-05-20 16:05:35: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/pending 48/1/1 = &sum;50/50, new result: 0.20526315789473681
2025-05-20 16:05:56: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running/pending 47/1/1 = &sum;49/50, new result: 0.2421052631578947 
2025-05-20 16:06:22: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 46/2 = &sum;48/50, new result: 0.3631578947368421           
2025-05-20 16:06:42: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 45/2 = &sum;47/50, new result: 0.3631578947368421           
2025-05-20 16:07:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed/running 44/2 = &sum;46/50, new result: 0.24736842105263157          
2025-05-20 16:07:19: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 45 = &sum;45/50, new result: 0.20526315789473681                    
2025-05-20 16:07:38: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 44 = &sum;44/50, new result: 0.3631578947368421                     
2025-05-20 16:07:59: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 43 = &sum;43/50, new result: 0.34736842105263155                    
2025-05-20 16:08:20: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 42 = &sum;42/50, new result: 0.2789473684210526                     
2025-05-20 16:08:38: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 41 = &sum;41/50, new result: 0.3631578947368421                     
2025-05-20 16:08:57: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 40 = &sum;40/50, new result: 0.4263157894736842                     
2025-05-20 16:09:18: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 39 = &sum;39/50, new result: 0.3631578947368421                     
2025-05-20 16:09:40: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 38 = &sum;38/50, new result: 0.27368421052631575                    
2025-05-20 16:10:00: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 37 = &sum;37/50, new result: 0.33684210526315794                    
2025-05-20 16:10:22: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 36 = &sum;36/50, new result: 0.20526315789473681                    
2025-05-20 16:10:43: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 35 = &sum;35/50, new result: 0.2210526315789474                     
2025-05-20 16:11:03: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 34 = &sum;34/50, new result: 0.2578947368421053                     
2025-05-20 16:11:24: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 33 = &sum;33/50, new result: 0.3631578947368421                     
2025-05-20 16:11:44: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 32 = &sum;32/50, new result: 0.35789473684210527                    
2025-05-20 16:12:05: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 31 = &sum;31/50, new result: 0.4842105263157894                     
2025-05-20 16:12:26: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 30 = &sum;30/50, new result: 0.22631578947368425                    
2025-05-20 16:12:45: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 29 = &sum;29/50, new result: 0.23684210526315785                    
2025-05-20 16:13:04: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 28 = &sum;28/50, new result: 0.2578947368421053                     
2025-05-20 16:13:24: BoTorchGenerator, best RESULT: 0.20526315789473681, completed 27 = &sum;27/50, new result: 0.3157894736842105                     
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_progressbar_log")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_progressbar_log", "progressbar")'> Download &raquo;progressbar&laquo; as file</button>
			
			<h1>&nbsp;Args Overview</h1>
			<h2>Arguments Overview                                                                                           </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value                                                                                                                                                    </th></tr></thead><tbody><tr><td> config_yaml</td><td>None                                                                                                                                                     </td></tr><tr><td> config_toml</td><td>None                                                                                                                                                     </td></tr><tr><td> config_json</td><td>None                                                                                                                                                     </td></tr><tr><td> num_random_steps</td><td>50                                                                                                                                                       </td></tr><tr><td> max_eval</td><td>2000                                                                                                                                                     </td></tr><tr><td> run_program</td><td>[[&#039;YmFzaCAvZGF0YS9ob3JzZS93cy9wd2lua2xlci1vb3B0L3J1bi5zaCAlKGVwb2NocykgJShscikgJShic3opICUoZGEpICUoZGIp&#039;]]                                               </td></tr><tr><td> experiment_name</td><td>vergl_botorch                                                                                                                                            </td></tr><tr><td> mem_gb</td><td>10                                                                                                                                                       </td></tr><tr><td> parameter</td><td>[[&#039;epochs&#039;, &#039;range&#039;, &#039;10&#039;, &#039;300&#039;, &#039;int&#039;, &#039;false&#039;], [&#039;lr&#039;, &#039;range&#039;, &#039;0.001&#039;, &#039;0.05&#039;, &#039;float&#039;, &#039;false&#039;], [&#039;bsz&#039;, &#039;range&#039;, &#039;4&#039;, &#039;32&#039;, &#039;int&#039;, &#039;false&#039;],      </td></tr><tr><td></td><td>[&#039;da&#039;, &#039;range&#039;, &#039;10&#039;, &#039;100&#039;, &#039;int&#039;, &#039;false&#039;], [&#039;db&#039;, &#039;range&#039;, &#039;10&#039;, &#039;150&#039;, &#039;int&#039;, &#039;false&#039;]]                                                              </td></tr><tr><td> continue_previous_job</td><td>None                                                                                                                                                     </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                                                     </td></tr><tr><td> run_dir</td><td>runs                                                                                                                                                     </td></tr><tr><td> seed</td><td>None                                                                                                                                                     </td></tr><tr><td> decimalrounding</td><td>4                                                                                                                                                        </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                                                    </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                                                    </td></tr><tr><td> model</td><td>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>True                                                                                                                                                     </td></tr><tr><td> send_anonymized_usage_stats</td><td>True                                                                                                                                                     </td></tr><tr><td> ui_url</td><td>aHR0cHM6Ly9pbWFnZXNlZy5zY2Fkcy5kZS9vbW5pYXgvZ3VpP3BhcnRpdGlvbj1iYXJuYXJkJmV4cGVyaW1lbnRfbmFtZT12ZXJnbF9ib3RvcmNoJnJlc2VydmF0aW9uPSZhY2NvdW50PSZtZW1fZ2I&hellip; </td></tr><tr><td> root_venv_dir</td><td>/home/pwinkler                                                                                                                                           </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>1.0                                                                                                                                                      </td></tr><tr><td> max_nr_of_zero_results</td><td>50                                                                                                                                                       </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>True                                                                                                                                                     </td></tr><tr><td> live_share</td><td>True                                                                                                                                                     </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                                                    </td></tr><tr><td> disable_previous_job_constraint</td><td>False                                                                                                                                                    </td></tr><tr><td> workdir</td><td></td></tr><tr><td> occ_type</td><td>euclid                                                                                                                                                   </td></tr><tr><td> result_names</td><td>[&#039;RESULT=min&#039;]                                                                                                                                           </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                                                        </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                                                     </td></tr><tr><td> generate_all_jobs_at_once</td><td>True                                                                                                                                                     </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                                                     </td></tr><tr><td> load_data_from_existing_jobs</td><td>[]                                                                                                                                                       </td></tr><tr><td> n_estimators_randomforest</td><td>100                                                                                                                                                      </td></tr><tr><td> external_generator</td><td>None                                                                                                                                                     </td></tr><tr><td> username</td><td>None                                                                                                                                                     </td></tr><tr><td> max_failed_jobs</td><td>0                                                                                                                                                        </td></tr><tr><td> num_cpus_main_job</td><td>None                                                                                                                                                     </td></tr><tr><td> calculate_pareto_front_of_job</td><td>None                                                                                                                                                     </td></tr><tr><td> num_parallel_jobs</td><td>50                                                                                                                                                       </td></tr><tr><td> worker_timeout</td><td>30                                                                                                                                                       </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                                                    </td></tr><tr><td> time</td><td>720                                                                                                                                                      </td></tr><tr><td> partition</td><td>barnard                                                                                                                                                  </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>0                                                                                                                                                        </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">1747745110.655724,50,0,0
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1747749492.8469307,50,0,0
1747749497.763607,50,0,0
1747749502.256778,50,0,0
1747749507.1752167,50,0,0
1747749511.9761117,50,0,0
1747749516.5133018,50,0,0
1747749521.2385318,50,0,0
1747749526.5994375,50,0,0
1747749526.6793182,50,0,0
1747749526.8752942,50,0,0
1747749526.9863634,50,0,0
1747749527.0027094,50,0,0
1747749527.0564163,50,0,0
1747749527.1230202,50,0,0
1747749527.1450646,50,0,0
1747749527.1808252,50,0,0
1747749527.2093039,50,0,0
1747749527.210689,50,0,0
1747749527.2425919,50,0,0
1747749527.3080812,50,0,0
1747749527.337915,50,0,0
1747749527.4173546,50,0,0
1747749527.4272594,50,0,0
1747749582.823835,50,9,18
1747749583.1579518,50,10,20
1747749583.2584631,50,10,20
1747749583.5371242,50,10,20
1747749583.590505,50,11,22
1747749583.7563512,50,8,16
1747749583.8270948,50,12,24
1747749584.1214077,50,13,26
1747749584.2071064,50,14,28
1747749584.8564823,50,16,32
1747749584.9462347,50,16,32
1747749585.266347,50,16,32
1747749585.6540766,50,16,32
1747749585.7893374,50,16,32
1747749586.489116,50,16,32
1747749586.6048968,50,16,32
1747749641.693121,50,16,32
1747749641.875581,50,16,32
1747749641.911691,50,16,32
1747749642.09064,50,16,32
1747749642.1075437,50,16,32
1747749642.1312428,50,16,32
1747749642.3703365,50,16,32
1747749642.4335494,50,16,32
1747749642.4805863,50,16,32
1747749642.5529237,50,16,32
1747749642.5627136,50,16,32
1747749642.8810654,50,16,32
1747749642.9526403,50,16,32
1747749643.0470417,50,16,32
1747749643.0603032,50,16,32
1747749643.4621084,50,16,32
1747749705.9719994,50,13,26
1747749706.3491197,50,13,26
1747749706.375526,50,13,26
1747749706.4315999,50,13,26
1747749706.5108056,50,13,26
1747749706.5428247,50,13,26
1747749706.5774453,50,14,28
1747749706.6546872,50,15,30
1747749706.9562852,50,15,30
1747749707.1064649,50,15,30
1747749707.2762406,50,16,32
1747749707.457985,50,16,32
1747749707.7077973,50,16,32
1747749708.3723886,50,16,32
1747749708.6127255,50,16,32
1747749708.8811865,50,16,32
1747749769.0246825,50,6,12
1747749769.087693,50,6,12
1747749769.22964,50,6,12
1747749769.5587988,50,6,12
1747749770.1462154,50,6,12
1747749770.1770008,50,6,12
1747749770.3795624,50,6,12
1747749771.1733584,50,6,12
1747749771.1880643,50,6,12
1747749771.3058426,50,6,12
1747749771.4661396,50,6,12
1747749771.4680698,50,6,12
1747749771.6182232,50,6,12
1747749771.7703667,50,6,12
1747749771.8339388,50,6,12
1747749772.1131535,50,6,12
1747749839.1784563,50,7,14
1747749839.6077058,50,8,16
1747749839.7226117,50,8,16
1747749839.837475,50,9,18
1747749840.069236,50,10,20
1747749840.2045424,50,11,22
1747749840.476535,50,12,24
1747749840.88358,50,14,28
1747749841.6080942,50,16,32
1747749841.6747997,50,16,32
1747749842.2156935,50,16,32
1747749842.6027384,50,16,32
1747749843.1230404,50,16,32
1747749843.3177128,50,16,32
1747749843.4712057,50,16,32
1747749844.3970852,50,16,32
1747749910.1899493,50,4,8
1747749910.2766225,50,4,8
1747749923.085303,50,3,6
1747749925.7635221,50,4,8
1747749935.6765518,50,2,4
1747749942.0128121,50,2,4
1747749956.7775328,50,2,4
1747749966.4305024,50,2,4
1747749982.60004,50,1,2
1747749988.7658439,50,0,0
1747750001.9332685,50,0,0
1747750008.101761,50,0,0
1747750020.838419,50,0,0
1747750026.9221425,50,0,0
1747750039.5444906,50,0,0
1747750045.7916753,50,0,0
1747750058.7471356,50,0,0
1747750065.1092677,50,0,0
1747750079.8088076,50,0,0
1747750086.248596,50,0,0
1747750099.9529252,50,0,0
1747750106.1539564,50,0,0
1747750118.6086807,50,0,0
1747750124.781028,50,0,0
1747750137.5842907,50,0,0
1747750144.7145607,50,0,0
1747750157.981869,50,0,0
1747750164.1032512,50,0,0
1747750179.223768,50,0,0
1747750186.8724382,50,0,0
1747750200.2746997,50,0,0
1747750207.737403,50,0,0
1747750222.5477371,50,0,0
1747750229.2124407,50,0,0
1747750243.3125916,50,0,0
1747750249.7446175,50,0,0
1747750263.1681402,50,0,0
1747750270.1601555,50,0,0
1747750284.027778,50,0,0
1747750290.7083368,50,0,0
1747750304.358766,50,0,0
1747750311.0806456,50,0,0
1747750325.03957,50,0,0
1747750332.2401128,50,0,0
1747750345.8963346,50,0,0
1747750352.546502,50,0,0
1747750365.3951802,50,0,0
1747750371.3729923,50,0,0
1747750384.865225,50,0,0
1747750391.2426064,50,0,0
1747750403.9947212,50,0,0
1747750410.068083,50,0,0
</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
1747745107,634.97265625,13.8
1747745110,635.23046875,13.9
1747745112,635.8046875,14.1
1747745112,635.8046875,21.4
1747745112,635.8046875,13.5
1747745112,636.0625,13.3
1747745112,636.0625,23.1
1747745481,667.98046875,14.4
1747745492,670.87109375,14.4
1747745492,670.87109375,20.0
1747745504,671.2265625,14.3
1747745504,671.2265625,20.0
1747745516,671.2265625,14.1
1747745516,671.2265625,23.1
1747745526,671.2265625,14.2
1747745526,671.2265625,21.4
1747745537,671.2265625,14.2
1747745537,671.2265625,20.0
1747745547,671.2265625,14.1
1747745547,671.2265625,21.4
1747745557,671.2265625,14.5
1747745567,671.2265625,14.2
1747745578,671.484375,14.3
1747745578,671.484375,14.3
1747745588,671.484375,14.5
1747745588,671.484375,16.7
1747745599,671.484375,14.2
1747745599,671.484375,18.8
1747745609,671.484375,14.2
1747745609,671.484375,7.7
1747745621,671.484375,14.4
1747745621,671.484375,14.3
1747745634,670.47265625,14.1
1747745634,670.47265625,7.7
1747745645,670.98828125,14.4
1747745656,670.98828125,14.2
1747745656,670.98828125,20.0
1747745666,670.98828125,14.2
1747745677,670.98828125,14.6
1747745687,670.98828125,14.2
1747745687,670.98828125,21.4
1747745698,671.24609375,14.2
1747745698,671.24609375,21.4
1747745709,671.24609375,14.2
1747745709,671.24609375,20.0
1747745719,671.24609375,14.2
1747745719,671.24609375,8.3
1747745729,671.24609375,14.2
1747745729,671.24609375,21.4
1747745740,671.24609375,14.6
1747745740,671.24609375,20.0
1747745750,671.24609375,14.2
1747745750,671.24609375,23.1
1747745760,671.50390625,14.1
1747745760,671.50390625,26.7
1747745771,671.50390625,14.1
1747745771,671.50390625,21.4
1747745781,671.50390625,14.2
1747745781,671.50390625,26.7
1747745792,671.50390625,14.3
1747745792,671.50390625,20.0
1747745802,671.50390625,14.5
1747745802,671.50390625,20.0
1747745813,671.50390625,14.2
1747745823,671.50390625,14.3
1747745849,671.76171875,14.0
1747745860,671.76171875,14.2
1747745860,671.76171875,20.0
1747745870,672.01953125,14.2
1747745882,672.01953125,14.1
1747745892,672.01953125,14.5
1747745902,672.01953125,14.2
1747745902,672.01953125,9.1
1747745912,672.27734375,14.3
1747745912,672.27734375,21.4
1747745923,672.27734375,14.5
1747745923,672.27734375,21.4
1747745934,672.27734375,14.3
1747745934,672.27734375,21.4
1747745946,672.27734375,14.2
1747745956,672.27734375,14.4
1747745967,672.27734375,14.2
1747745977,672.27734375,14.2
1747745977,672.27734375,21.4
1747745987,672.27734375,14.2
1747745987,672.27734375,23.1
1747745998,672.27734375,14.1
1747746009,672.27734375,14.4
1747746009,672.27734375,15.4
1747746020,672.27734375,14.4
1747746031,672.27734375,14.2
1747746031,672.27734375,18.8
1747746031,672.27734375,13.8
1747746031,672.27734375,21.4
1747746791,699.921875,14.5
1747746791,699.921875,20.0
1747746808,702.83203125,14.3
1747746823,701.703125,14.4
1747746823,701.703125,14.3
1747746839,702.5,14.2
1747746839,702.5,7.7
1747746855,702.05078125,14.2
1747746855,702.05078125,21.4
1747746870,702.046875,14.3
1747746870,702.046875,21.4
1747746885,702.04296875,14.3
1747746885,702.04296875,20.0
1747746901,702.04296875,14.2
1747746901,702.04296875,26.7
1747746916,701.89453125,14.3
1747746916,701.89453125,20.0
1747746933,701.84375,14.2
1747746933,701.84375,14.3
1747746949,701.7421875,14.3
1747746964,701.70703125,14.3
1747746964,701.70703125,21.4
1747746982,700.64453125,14.6
1747746982,700.64453125,7.7
1747747002,700.1953125,16.7
1747747002,700.1953125,11.8
1747747018,700.1953125,15.1
1747747018,700.1953125,14.3
1747747034,700.1953125,14.8
1747747034,700.1953125,25.0
1747747049,700.1953125,15.3
1747747049,700.1953125,14.3
1747747084,700.1953125,14.4
1747747173,700.1953125,14.2
1747747173,700.1953125,14.3
1747747260,698.93359375,14.1
1747747348,699.77734375,13.9
1747747348,699.77734375,20.0
1747747452,699.546875,13.9
1747747539,698.38671875,14.0
1747747539,698.38671875,14.3
1747747625,691.078125,13.9
1747747712,687.55078125,14.0
1747747712,687.55078125,14.3
1747747802,682.27734375,14.0
1747747802,682.27734375,15.8
1747747890,675.625,14.0
1747747978,654.84375,14.9
1747747978,654.84375,15.2
1747748072,531.234375,15.0
1747748072,531.234375,16.1
1747748162,474.34765625,14.9
1747748162,474.34765625,11.9
1747748248,455.4921875,14.5
1747748248,455.4921875,18.4
1747748263,456.6796875,15.3
1747748263,456.6796875,20.0
1747748280,456.6796875,15.2
1747748295,456.6796875,15.1
1747748295,456.6796875,14.3
1747748312,463.02734375,15.2
1747748312,463.02734375,23.5
1747748328,463.02734375,15.4
1747748328,463.02734375,18.8
1747748343,464.52734375,15.3
1747748343,464.52734375,20.0
1747748359,464.52734375,15.1
1747748359,464.52734375,21.4
1747748375,464.52734375,15.2
1747748391,464.52734375,15.4
1747748391,464.52734375,20.0
1747748406,464.4921875,15.2
1747748406,464.4921875,25.0
1747748422,463.97265625,15.3
1747748422,463.97265625,14.5
1747748437,464.23046875,15.2
1747748453,464.18359375,15.5
1747748453,464.18359375,8.3
1747748468,464.18359375,15.2
1747748485,464.18359375,15.4
1747748485,464.18359375,20.0
1747748500,463.19140625,15.3
1747748518,463.44921875,15.4
1747748518,463.44921875,14.3
1747748534,457.29296875,15.3
1747748534,457.29296875,15.3
1747748551,458.38671875,15.3
1747748551,458.38671875,14.5
1747748568,459.6796875,15.2
1747748569,459.6796875,14.3
1747749942,486.72265625,13.5
1747749942,486.72265625,8.0
1747749966,493.9296875,9.8
1747749988,494.07421875,9.8
1747749988,494.07421875,14.3
1747750008,494.13671875,9.8
1747750008,494.13671875,14.3
1747750026,494.203125,9.8
1747750026,494.203125,8.3
1747750045,494.25,9.9
1747750045,494.25,7.1
1747750065,494.31640625,9.8
1747750065,494.31640625,13.3
1747750086,494.3671875,9.8
1747750086,494.3671875,7.7
1747750106,492.15234375,10.0
1747750106,492.15234375,9.5
1747750124,492.19921875,9.8
1747750144,493.12109375,7.4
1747750144,493.12109375,6.7
1747750164,493.12109375,7.5
1747750164,493.12109375,5.8
1747750186,493.12109375,7.6
1747750207,493.37890625,7.5
1747750207,493.37890625,7.1
1747750229,491.546875,7.7
1747750229,491.546875,9.2
1747750249,492.36328125,7.5
1747750249,492.36328125,7.1
1747750270,492.3984375,7.5
1747750270,492.3984375,6.7
1747750290,492.39453125,7.5
1747750311,492.53125,7.5
1747750311,492.53125,7.1
1747750332,492.60546875,7.4
1747750332,492.60546875,7.1
1747750352,489.75,7.8
1747750352,489.75,6.9
1747750371,490.5234375,7.9
1747750391,490.57421875,8.0
1747750391,490.57421875,6.4
1747750410,490.6328125,7.9
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Results by Generation Method</h1>
			<div class="invert_in_dark_mode" id="plotResultsDistributionByGenerationMethod"></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;Heatmap</h1>
			<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
			    <h1>Correlation Heatmap Explanation</h1>
			
			    <p>
			        This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
			    </p>
			
			    <h2>How It Works</h2>
			    <p>
			        The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
			    </p>
			    <ul>
			        <li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
			        <li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
			        <li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
			    </ul>
			
			    <h2>Color Scale: Yellow to Purple (Viridis)</h2>
			    <p>
			        The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
			    </p>
			    <ul>
			        <li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
			        <li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
			        <li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
			        <li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
			    </ul>
			
			    <h2>What the Heatmap Shows</h2>
			    <p>
			        In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
			    </p>
			
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
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