Experiment overview

Job Summary per Generation Node

Experiment parameters

Number of evaluations

Result names and types

Last progressbar status

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trial_index,submit_time,queue_time,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_SLURM_JOB_ID,arm_name,trial_status,generation_node,RESULT,x
0,1752150846,4,1752150850,1752150856,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 74.60605353116989135742\n"; exit 0 }',0,,slurmnode2,650,0_0,COMPLETED,SOBOL,74.606053531169891357421875,74.606053531169891357421875
1,1752150850,4,1752150854,1752150860,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 919.77811045944690704346\n"; exit 0 }',1,,slurmnode3,651,1_0,FAILED,SOBOL,,919.77811045944690704345703125
2,1752150853,4,1752150857,1752150863,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 548.66822808980941772461\n"; exit 0 }',1,,slurmnode4,652,2_0,FAILED,SOBOL,,548.668228089809417724609375
3,1752150858,5,1752150863,1752150869,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 453.52844521403312683105\n"; exit 0 }',0,,slurmnode2,653,3_0,COMPLETED,SOBOL,453.5284452140331268310546875,453.5284452140331268310546875
4,1752150863,5,1752150868,1752150874,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 372.65787646174430847168\n"; exit 0 }',1,,slurmnode3,654,4_0,FAILED,SOBOL,,372.6578764617443084716796875
5,1752150868,5,1752150873,1752150879,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 652.48801559209823608398\n"; exit 0 }',0,,slurmnode2,655,5_0,COMPLETED,SOBOL,652.488015592098236083984375,652.488015592098236083984375
6,1752150873,4,1752150877,1752150883,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 750.15860982239246368408\n"; exit 0 }',0,,slurmnode4,656,6_0,COMPLETED,SOBOL,750.15860982239246368408203125,750.15860982239246368408203125
7,1752150878,4,1752150882,1752150888,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 220.29977105557918548584\n"; exit 0 }',0,,slurmnode3,657,7_0,COMPLETED,SOBOL,220.29977105557918548583984375,220.29977105557918548583984375
8,1752150884,4,1752150888,1752150894,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 175.62617734074592590332\n"; exit 0 }',1,,slurmnode2,658,8_0,FAILED,SOBOL,,175.6261773407459259033203125
9,1752150891,5,1752150896,1752150902,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 830.47696948051452636719\n"; exit 0 }',0,,slurmnode3,659,9_0,COMPLETED,SOBOL,830.4769694805145263671875,830.4769694805145263671875
10,1752150897,6,1752150903,1752150909,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 701.556378975510597229\n"; exit 0 }',0,,slurmnode2,660,10_0,COMPLETED,SOBOL,701.55637897551059722900390625,701.55637897551059722900390625
11,1752150902,7,1752150909,1752150915,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 296.73428647220134735107\n"; exit 0 }',0,,slurmnode3,661,11_0,COMPLETED,SOBOL,296.73428647220134735107421875,296.73428647220134735107421875
12,1752150909,4,1752150913,1752150919,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 377.10894457995891571045\n"; exit 0 }',1,,slurmnode2,662,12_0,FAILED,SOBOL,,377.10894457995891571044921875
13,1752150915,4,1752150919,1752150925,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 597.25593961775302886963\n"; exit 0 }',1,,slurmnode4,663,13_0,FAILED,SOBOL,,597.25593961775302886962890625
14,1752150921,5,1752150926,1752150932,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 999.61581826210021972656\n"; exit 0 }',1,,slurmnode2,664,14_0,FAILED,SOBOL,,999.6158182621002197265625
15,1752151061,3,1752151064,1752151070,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 29.43654730916023254395\n"; exit 0 }',0,,slurmnode2,665,15_0,COMPLETED,SOBOL,29.4365473091602325439453125,29.4365473091602325439453125
16,1752151068,4,1752151072,1752151078,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 45.6983651965856552124\n"; exit 0 }',1,,slurmnode3,666,16_0,FAILED,SOBOL,,45.69836519658565521240234375
17,1752151075,5,1752151080,1752151086,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 952.59228534996509552002\n"; exit 0 }',1,,slurmnode2,667,17_0,FAILED,SOBOL,,952.59228534996509552001953125
18,1752151081,4,1752151085,1752151091,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 581.51292055845260620117\n"; exit 0 }',1,,slurmnode3,668,18_0,FAILED,SOBOL,,581.512920558452606201171875
19,1752151089,4,1752151093,1752151099,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 424.59024116396903991699\n"; exit 0 }',0,,slurmnode2,669,19_0,COMPLETED,SOBOL,424.5902411639690399169921875,424.5902411639690399169921875
20,1752151097,4,1752151101,1752151107,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 280.47199174761772155762\n"; exit 0 }',1,,slurmnode3,670,20_0,FAILED,SOBOL,,280.4719917476177215576171875
21,1752151104,5,1752151109,1752151115,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 748.58038872480392456055\n"; exit 0 }',1,,slurmnode2,671,21_0,FAILED,SOBOL,,748.580388724803924560546875
22,1752151113,4,1752151117,1752151123,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 846.22046537697315216064\n"; exit 0 }',1,,slurmnode3,672,22_0,FAILED,SOBOL,,846.22046537697315216064453125
23,1752151121,4,1752151125,1752151131,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 128.14440391957759857178\n"; exit 0 }',0,,slurmnode2,673,23_0,COMPLETED,SOBOL,128.14440391957759857177734375,128.14440391957759857177734375
24,1752151129,6,1752151135,1752151141,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 204.56438139081001281738\n"; exit 0 }',0,,slurmnode3,674,24_0,COMPLETED,SOBOL,204.5643813908100128173828125,204.5643813908100128173828125
25,1752151139,4,1752151143,1752151149,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 797.63227701187133789062\n"; exit 0 }',0,,slurmnode2,675,25_0,COMPLETED,SOBOL,797.632277011871337890625,797.632277011871337890625
26,1752151147,4,1752151151,1752151157,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 668.74220408499240875244\n"; exit 0 }',0,,slurmnode3,676,26_0,COMPLETED,SOBOL,668.74220408499240875244140625,668.74220408499240875244140625
27,1752151154,4,1752151158,1752151164,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 325.64197294414043426514\n"; exit 0 }',0,,slurmnode2,677,27_0,COMPLETED,SOBOL,325.64197294414043426513671875,325.64197294414043426513671875
28,1752151159,5,1752151164,1752151170,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 469.26431171596050262451\n"; exit 0 }',0,,slurmnode3,678,28_0,COMPLETED,SOBOL,469.26431171596050262451171875,469.26431171596050262451171875
29,1752151167,4,1752151171,1752151177,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 501.19408406317234039307\n"; exit 0 }',1,,slurmnode2,679,29_0,FAILED,SOBOL,,501.19408406317234039306640625
30,1752151463,3,1752151466,1752151472,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0\n"; exit 0 }',1,,slurmnode2,680,30_0,FAILED,BOTORCH_MODULAR,,0
31,1752151469,4,1752151473,1752151479,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0\n"; exit 0 }',1,,slurmnode3,681,30_0,FAILED,BOTORCH_MODULAR,,0
32,1752151478,4,1752151482,1752151488,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0.00000000000011368684\n"; exit 0 }',0,,slurmnode2,682,32_0,COMPLETED,BOTORCH_MODULAR,0.000000000000113686840000000007,0.00000000000011368683772161603
33,1752151487,5,1752151492,1752151498,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0.00000000000005684342\n"; exit 0 }',0,,slurmnode3,683,33_0,COMPLETED,BOTORCH_MODULAR,0.000000000000056843420000000003,0.000000000000056843418860808015
34,1752151496,4,1752151500,1752151506,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0\n"; exit 0 }',1,,slurmnode2,684,30_0,FAILED,BOTORCH_MODULAR,,0
35,1752151506,4,1752151510,1752151516,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0\n"; exit 0 }',0,,slurmnode3,685,30_0,COMPLETED,BOTORCH_MODULAR,0,0
36,1752151515,4,1752151519,1752151525,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0\n"; exit 0 }',1,,slurmnode2,686,30_0,FAILED,BOTORCH_MODULAR,,0
37,1752151524,5,1752151529,1752151535,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0\n"; exit 0 }',0,,slurmnode3,687,30_0,COMPLETED,BOTORCH_MODULAR,0,0
38,1752151533,6,1752151539,1752151545,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0.00000000000002842171\n"; exit 0 }',1,,slurmnode2,688,38_0,FAILED,BOTORCH_MODULAR,,0.000000000000028421709430404007
39,1752151544,6,1752151550,1752151556,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0\n"; exit 0 }',0,,slurmnode3,689,30_0,COMPLETED,BOTORCH_MODULAR,0,0
40,1752151555,4,1752151559,1752151565,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0.00000000000011368684\n"; exit 0 }',0,,slurmnode2,690,32_0,COMPLETED,BOTORCH_MODULAR,0.000000000000113686840000000007,0.00000000000011368683772161603
41,1752151567,7,1752151574,1752151580,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0\n"; exit 0 }',0,,slurmnode2,691,30_0,COMPLETED,BOTORCH_MODULAR,0,0
42,1752151579,7,1752151586,1752151592,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0\n"; exit 0 }',0,,slurmnode3,692,30_0,COMPLETED,BOTORCH_MODULAR,0,0
43,1752151591,5,1752151596,1752151602,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0\n"; exit 0 }',0,,slurmnode2,693,30_0,COMPLETED,BOTORCH_MODULAR,0,0
44,1752151601,5,1752151606,1752151612,6,perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: 0\n"; exit 0 }',1,,slurmnode3,694,30_0,FAILED,BOTORCH_MODULAR,,0
45,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
46,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
47,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
48,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
49,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
50,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
51,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
52,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
53,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
54,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
55,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
56,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
57,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
58,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
59,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
60,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
61,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
62,,,,,,,,,,,38_0,RUNNING,BOTORCH_MODULAR,,0.000000000000028421709430404007
63,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
64,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
65,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
66,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
67,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
68,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
69,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
70,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
71,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
72,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
73,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
74,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
75,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
76,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
77,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
78,,,,,,,,,,,38_0,RUNNING,BOTORCH_MODULAR,,0.000000000000028421709430404007
79,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
80,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
81,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
82,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
83,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
84,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
85,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
86,,,,,,,,,,,86_0,RUNNING,BOTORCH_MODULAR,,0.000000000000014210854715202004
87,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
88,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
89,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
90,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
91,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
92,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
93,,,,,,,,,,,93_0,RUNNING,BOTORCH_MODULAR,,0.000000000000007105427357601002
94,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
95,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
96,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
97,,,,,,,,,,,38_0,RUNNING,BOTORCH_MODULAR,,0.000000000000028421709430404007
98,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
99,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
100,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
101,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
102,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
103,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
104,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
105,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
106,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
107,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
108,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
109,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
110,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
111,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
112,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
113,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
114,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
115,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
116,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
117,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
118,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
119,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
120,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
121,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
122,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
123,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
124,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
125,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
126,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
127,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
128,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
129,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
130,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
131,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
132,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
133,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
134,,,,,,,,,,,38_0,RUNNING,BOTORCH_MODULAR,,0.000000000000028421709430404007
135,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
136,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
137,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
138,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
139,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
140,,,,,,,,,,,140_0,RUNNING,BOTORCH_MODULAR,,0.000000000000003552713678800501
141,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
142,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
143,,,,,,,,,,,86_0,RUNNING,BOTORCH_MODULAR,,0.000000000000014210854715202004
144,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
145,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
146,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
147,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
148,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
149,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
150,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
151,,,,,,,,,,,93_0,RUNNING,BOTORCH_MODULAR,,0.000000000000007105427357601002
152,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
153,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
154,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
155,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
156,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
157,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
158,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
159,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
160,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
161,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
162,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
163,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
164,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
165,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
166,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
167,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
168,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
169,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
170,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
171,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
172,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
173,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
174,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
175,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
176,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
177,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
178,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
179,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
180,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
181,,,,,,,,,,,93_0,RUNNING,BOTORCH_MODULAR,,0.000000000000007105427357601002
182,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
183,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
184,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
185,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
186,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
187,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
188,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
189,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
190,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
191,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
192,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
193,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
194,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
195,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
196,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
197,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
198,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
199,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
200,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
201,,,,,,,,,,,86_0,RUNNING,BOTORCH_MODULAR,,0.000000000000014210854715202004
202,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
203,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
204,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
205,,,,,,,,,,,86_0,RUNNING,BOTORCH_MODULAR,,0.000000000000014210854715202004
206,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
207,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
208,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
209,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
210,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
211,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
212,,,,,,,,,,,86_0,RUNNING,BOTORCH_MODULAR,,0.000000000000014210854715202004
213,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
214,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
215,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
216,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0

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To cancel, press CTRL c, then run 'scancel 649'
⠋ Importing logging...
⠋ Importing warnings...
⠋ Importing argparse...
⠋ Importing datetime...
⠋ Importing dataclass...
⠋ Importing hashlib...
⠋ Importing socket...
⠋ Importing stat...
⠋ Importing pwd...
⠋ Importing signal...
⠋ Importing base64...
⠋ Importing json...
⠋ Importing yaml...
⠋ Importing toml...
⠋ Importing csv...
⠋ Importing ast...
⠋ Importing rich.table...
⠋ Importing rich print...
⠋ Importing rich.pretty...
⠋ Importing rich.prompt...
⠋ Importing types.FunctionType...
⠋ Importing typing...
⠋ Importing ThreadPoolExecutor...
⠋ Importing submitit.LocalExecutor...
⠋ Importing submitit.Job...
⠋ Importing importlib.util...
⠋ Importing inspect...
⠋ Importing platform...
⠋ Importing inspect frame info...
⠋ Importing pathlib.Path...
⠋ Importing uuid...
⠋ Importing traceback...
⠋ Importing cowsay...
⠋ Importing psutil...
⠋ Importing shutil...
⠋ Importing itertools.combinations...
⠋ Importing os.listdir...
⠋ Importing os.path...
⠋ Importing PIL.Image...
⠋ Importing sixel...
⠋ Importing subprocess...
⠋ Importing tqdm...
⠋ Importing beartype...
⠋ Importing statistics...
⠋ Trying to import pyfiglet...
⠴ Importing helpers...
⠋ Parsing arguments...
⠴ Importing torch...
⠋ Importing numpy...
⠋ Importing collections...
⠋ Importing ax...
⠋ Importing ax.core.generator_run...
⠋ Importing Cont_X_trans and Y_trans from ax.modelbridge.registry...
⠋ Importing ax.core.arm...
⠋ Importing ax.core.objective...
⠋ Importing ax.core.Metric...
⠋ Importing ax.exceptions.core...
⠋ Importing ax.exceptions.generation_strategy...
⠋ Importing CORE_DECODER_REGISTRY...
⠋ Trying ax.generation_strategy.generation_node...
⠋ Importing GenerationStep, GenerationStrategy from generation_strategy...
⠋ Importing GenerationNode from generation_node...
⠋ Importing ExternalGenerationNode...
⠋ Importing MaxTrials...
⠋ Importing GeneratorSpec...
⠋ Importing Models from ax.modelbridge.registry...
⠋ Importing get_pending_observation_features...
⠋ Importing load_experiment...
⠋ Importing save_experiment...
⠋ Importing save_experiment_to_db...
⠋ Importing TrialStatus...
⠋ Importing Data...
⠋ Importing Experiment...
⠋ Importing parameter types...
⠋ Importing TParameterization...
⠋ Importing pandas...
⠋ Importing AxClient and ObjectiveProperties...
⠋ Importing RandomForestRegressor...
⠋ Importing botorch...
⠋ Importing submitit...
⠋ Importing ax logger...
⠋ Importing SQL-Storage-Stuff...
Run-UUID: 6b34731b-549e-483f-9155-a712f491d60b
  _________________________________________________
 /                                                 \
| OmniOpt2 - Tuning so deep, even Lovecraft would b |
| e scared!                                         |
 \                                                 /
  =================================================
                                                    \
                                                     \
                                                      \
                                                       \
                                                        ("`-'  '-/") .___..--' ' "`-._
                                                         ` *_ *  )    `-.   (      ) .`-.__. `)
                                                          (_Y_.) ' ._   )   `._` ;  `` -. .-'
                                                       _.. `--'_..-_/   /--' _ .' ,4
                                                      ( i l ),-''  ( l i),'  ( ( ! .-'
⠋ Writing worker creation log...
omniopt --partition=alpha --experiment_name=partly_failed --mem_gb=1 --time=60 --worker_timeout=40 --gpus=0 --follow --send_anonymized_usage_stats --result_names RESULT=min --run_program=cGVybCAtZSAnaWYgKHJhbmQoKSA+PSAwLjUpIHsgZXhpdCAxIH0gZWxzZSB7IHByaW50ICJSRVNVTFQ6ICV4XG4iOyBleGl0IDAgfSc= --cpus_per_task=1 --nodes_per_job=1 --revert_to_random_when_seemingly_exhausted --model=BOTORCH_MODULAR --n_estimators_randomforest=100 --run_mode=local --occ_type=euclid --main_process_gb=8 --max_nr_of_zero_results=50 --slurm_signal_delay_s=0 --max_failed_jobs=0 --max_attempts_for_generation=20 --num_restarts=20 --raw_samples=1024 --max_abandoned_retrial=20 --max_num_of_parallel_sruns=1 --generate_all_jobs_at_once --parameter x range 0 1000 float false --live_share --generate_all_jobs_at_once --verbose_break_run_search_table --max_eval=45 --num_parallel_jobs=15 --num_random_steps=15
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /oo_dir/runs/partly_failed/16...
⠋ Writing revert_to_random_when_seemingly_exhausted file ...
⠋ Writing username state file...
⠋ Writing result names file...
⠋ Writing result min/max file...
⠋ Saving state files...
Run-folder: /oo_dir/runs/partly_failed/16
⠋ Printing run info...
⠋ Initializing NVIDIA-Logs...
⠋ Writing ui_url file if it is present...
⠋ Writing live_share file if it is present...
⠋ Writing job_start_time file...
⠋ Writing git info file...
⠋ Checking max_eval...
⠋ Calculating number of steps...
⠋ Adding excluded nodes...
⠋ Handling random steps...
⠋ Initializing ax_client...
[WARNING 07-10 12:32:59] ax.service.ax_client: Selecting a GenerationStrategy when using BatchTrials is in beta. Double check the recommended strategy matches your expectations.
⠋ Setting orchestrator...
You have 8 CPUs available for the main process. No CUDA devices found. Generation strategy: SOBOL for 15 steps and then BOTORCH_MODULAR for 30 steps.
Run-Program: perl -e 'if (rand() >= 0.5) { exit 1 } else { print "RESULT: %x\n"; exit 0 }'
                      Experiment parameters                      
┏━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type  ┃ Lower bound ┃ Upper bound ┃ Type  ┃ Log Scale? ┃
┡━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ x    │ range │ 0           │ 1000        │ float │ No         │
└──────┴───────┴─────────────┴─────────────┴───────┴────────────┘
        Result-Names         
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT      │         min │
└─────────────┴─────────────┘
See https://imageseg.scads.de/omniax/share?user_id=admin&experiment_name=partly_failed&run_nr=0 for live-results.

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SOBOL, Started OmniOpt2 run...:   0%|░░░░░░░░░░| 0/45 [00:00break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, requested 15 jobs, got 15, 2.56 s/job:   0%|░░░░░░░░░░| 0/45 [00:41break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, eval #1/15 start                     :   0%|░░░░░░░░░░| 0/45 [00:43break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, eval #2/15 start                     :   0%|░░░░░░░░░░| 0/45 [00:44break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, eval #3/15 start                     :   0%|░░░░░░░░░░| 0/45 [00:45break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, eval #4/15 start                     :   0%|░░░░░░░░░░| 0/45 [00:46break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, eval #5/15 start                     :   0%|░░░░░░░░░░| 0/45 [00:47break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, eval #6/15 start                     :   0%|░░░░░░░░░░| 0/45 [00:49break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, eval #7/15 start                     :   0%|░░░░░░░░░░| 0/45 [00:51break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, eval #8/15 start                     :   0%|░░░░░░░░░░| 0/45 [00:52break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, eval #9/15 start                     :   0%|░░░░░░░░░░| 0/45 [00:53break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, eval #10/15 start                    :   0%|░░░░░░░░░░| 0/45 [00:54break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, eval #11/15 start                    :   0%|░░░░░░░░░░| 0/45 [00:55break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, eval #12/15 start                    :   0%|░░░░░░░░░░| 0/45 [00:57break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, eval #13/15 start                    :   0%|░░░░░░░░░░| 0/45 [00:58break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, eval #14/15 start                    :   0%|░░░░░░░░░░| 0/45 [00:59break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 0     │
│ submitted_jobs()     │ 0     │
│ failed_jobs()        │ 0     │
│ count_done_jobs()    │ 0     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, finishing jobs, finished 15 jobs           :  18%|█▒░░░░░░░░| 8/45 [02:50<1:34:28, 153.19s/it]break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, requested 15 jobs, got 15, 4.39 s/job      :  18%|█▒░░░░░░░░| 8/45 [04:01<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, eval #1/15 start                           :  18%|█▒░░░░░░░░| 8/45 [04:03<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, eval #2/15 start                           :  18%|█▒░░░░░░░░| 8/45 [04:06<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, eval #3/15 start                           :  18%|█▒░░░░░░░░| 8/45 [04:08<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, eval #4/15 start                           :  18%|█▒░░░░░░░░| 8/45 [04:10<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, eval #5/15 start                           :  18%|█▒░░░░░░░░| 8/45 [04:13<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, eval #6/15 start                           :  18%|█▒░░░░░░░░| 8/45 [04:16<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, eval #7/15 start                           :  18%|█▒░░░░░░░░| 8/45 [04:19<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, eval #8/15 start                           :  18%|█▒░░░░░░░░| 8/45 [04:21<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, eval #9/15 start                           :  18%|█▒░░░░░░░░| 8/45 [04:23<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, eval #10/15 start                          :  18%|█▒░░░░░░░░| 8/45 [04:26<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, eval #11/15 start                          :  18%|█▒░░░░░░░░| 8/45 [04:28<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, eval #12/15 start                          :  18%|█▒░░░░░░░░| 8/45 [04:30<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, eval #13/15 start                          :  18%|█▒░░░░░░░░| 8/45 [04:32<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 7 ('RESULT: ' not found), best RESULT: 74.60605353116989, eval #14/15 start                          :  18%|█▒░░░░░░░░| 8/45 [04:34<1:34:28, 153.19s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 8     │
│ submitted_jobs()     │ 15    │
│ failed_jobs()        │ 7     │
│ count_done_jobs()    │ 8     │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
Sobol, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, finishing jobs, finished 15 jobs                        :  36%|███▒░░░░░░| 16/45 [07:04<19:49, 41.03s/it]break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
[WARNING 07-10 12:40:32] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 15 unique candidates. Generated arms have the following weights, as there are repeats:
[15.0]
[WARNING 07-10 12:40:51] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 14 unique candidates. Generated arms have the following weights, as there are repeats:
[13.0, 1.0]
[WARNING 07-10 12:41:06] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 12 unique candidates. Generated arms have the following weights, as there are repeats:
[1.0, 11.0]
[WARNING 07-10 12:41:20] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 10 unique candidates. Generated arms have the following weights, as there are repeats:
[10.0]
[WARNING 07-10 12:41:35] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 9 unique candidates. Generated arms have the following weights, as there are repeats:
[9.0]
[WARNING 07-10 12:41:46] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 8 unique candidates. Generated arms have the following weights, as there are repeats:
[7.0, 1.0]
[WARNING 07-10 12:41:56] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 6 unique candidates. Generated arms have the following weights, as there are repeats:
[5.0, 1.0]
[WARNING 07-10 12:42:02] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 4 unique candidates. Generated arms have the following weights, as there are repeats:
[4.0]
[WARNING 07-10 12:42:05] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 3 unique candidates. Generated arms have the following weights, as there are repeats:
[3.0]
[WARNING 07-10 12:42:09] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 2 unique candidates. Generated arms have the following weights, as there are repeats:
[2.0]
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, requested 15 jobs, got 15, 13.62 s/job       :  36%|███▒░░░░░░| 16/45 [10:35<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, eval #1/15 start                             :  36%|███▒░░░░░░| 16/45 [10:37<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, eval #2/15 start                             :  36%|███▒░░░░░░| 16/45 [10:40<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, eval #3/15 start                             :  36%|███▒░░░░░░| 16/45 [10:43<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, eval #4/15 start                             :  36%|███▒░░░░░░| 16/45 [10:46<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, eval #5/15 start                             :  36%|███▒░░░░░░| 16/45 [10:49<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, eval #6/15 start                             :  36%|███▒░░░░░░| 16/45 [10:52<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, eval #7/15 start                             :  36%|███▒░░░░░░| 16/45 [10:55<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, eval #8/15 start                             :  36%|███▒░░░░░░| 16/45 [10:58<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, eval #9/15 start                             :  36%|███▒░░░░░░| 16/45 [11:00<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, eval #10/15 start                            :  36%|███▒░░░░░░| 16/45 [11:03<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, eval #11/15 start                            :  36%|███▒░░░░░░| 16/45 [11:06<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, eval #12/15 start                            :  36%|███▒░░░░░░| 16/45 [11:08<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, eval #13/15 start                            :  36%|███▒░░░░░░| 16/45 [11:11<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 14 ('RESULT: ' not found), best RESULT: 29.436547309160233, eval #14/15 start                            :  36%|███▒░░░░░░| 16/45 [11:14<19:49, 41.03s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 16    │
│ submitted_jobs()     │ 30    │
│ failed_jobs()        │ 14    │
│ count_done_jobs()    │ 16    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
BoTorchGenerator, failed: 20 ('RESULT: ' not found), best RESULT: 0, finishing jobs, finished 15 jobs                                           :  56%|█████▒░░░░| 25/45 [14:45<09:46, 29.34s/it]break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
[WARNING 07-10 12:48:20] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 15 unique candidates. Generated arms have the following weights, as there are repeats:
[15.0]
[WARNING 07-10 12:48:42] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 14 unique candidates. Generated arms have the following weights, as there are repeats:
[14.0]
[WARNING 07-10 12:48:58] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 13 unique candidates. Generated arms have the following weights, as there are repeats:
[13.0]
[WARNING 07-10 12:49:15] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 12 unique candidates. Generated arms have the following weights, as there are repeats:
[12.0]
[WARNING 07-10 12:49:29] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 11 unique candidates. Generated arms have the following weights, as there are repeats:
[11.0]
[WARNING 07-10 12:49:42] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 10 unique candidates. Generated arms have the following weights, as there are repeats:
[9.0, 1.0]
[WARNING 07-10 12:49:52] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 8 unique candidates. Generated arms have the following weights, as there are repeats:
[8.0]
[WARNING 07-10 12:50:01] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 7 unique candidates. Generated arms have the following weights, as there are repeats:
[7.0]
[WARNING 07-10 12:50:12] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 6 unique candidates. Generated arms have the following weights, as there are repeats:
[6.0]
[WARNING 07-10 12:50:22] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 5 unique candidates. Generated arms have the following weights, as there are repeats:
[5.0]
[WARNING 07-10 12:50:28] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 4 unique candidates. Generated arms have the following weights, as there are repeats:
[4.0]
[WARNING 07-10 12:50:32] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 3 unique candidates. Generated arms have the following weights, as there are repeats:
[3.0]
[WARNING 07-10 12:50:35] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 2 unique candidates. Generated arms have the following weights, as there are repeats:
[2.0]
BoTorchGenerator, failed: 20 ('RESULT: ' not found), best RESULT: 0, requested 15 jobs, got 15, 17.92 s/job                                     :  56%|█████▒░░░░| 25/45 [19:22<09:46, 29.34s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
[WARNING 07-10 12:52:52] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 15 unique candidates. Generated arms have the following weights, as there are repeats:
[15.0]
[WARNING 07-10 12:53:17] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 14 unique candidates. Generated arms have the following weights, as there are repeats:
[13.0, 1.0]
[WARNING 07-10 12:53:38] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 12 unique candidates. Generated arms have the following weights, as there are repeats:
[12.0]
[WARNING 07-10 12:53:58] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 11 unique candidates. Generated arms have the following weights, as there are repeats:
[11.0]
[WARNING 07-10 12:54:17] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 10 unique candidates. Generated arms have the following weights, as there are repeats:
[9.0, 1.0]
[WARNING 07-10 12:54:29] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 8 unique candidates. Generated arms have the following weights, as there are repeats:
[8.0]
[WARNING 07-10 12:54:39] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 7 unique candidates. Generated arms have the following weights, as there are repeats:
[7.0]
[WARNING 07-10 12:54:47] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 6 unique candidates. Generated arms have the following weights, as there are repeats:
[6.0]
[WARNING 07-10 12:54:54] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 5 unique candidates. Generated arms have the following weights, as there are repeats:
[5.0]
[WARNING 07-10 12:54:59] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 4 unique candidates. Generated arms have the following weights, as there are repeats:
[4.0]
[WARNING 07-10 12:55:04] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 3 unique candidates. Generated arms have the following weights, as there are repeats:
[3.0]
[WARNING 07-10 12:55:07] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 2 unique candidates. Generated arms have the following weights, as there are repeats:
[2.0]
BoTorchGenerator, failed: 20 ('RESULT: ' not found), best RESULT: 0, requested 15 jobs, got 15, 16.71 s/job                                     :  56%|█████▒░░░░| 25/45 [23:42<09:46, 29.34s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
[WARNING 07-10 12:57:15] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 15 unique candidates. Generated arms have the following weights, as there are repeats:
[15.0]
[WARNING 07-10 12:57:36] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 14 unique candidates. Generated arms have the following weights, as there are repeats:
[13.0, 1.0]
[WARNING 07-10 12:57:51] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 12 unique candidates. Generated arms have the following weights, as there are repeats:
[1.0, 1.0, 9.0, 1.0]
[WARNING 07-10 12:58:03] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 8 unique candidates. Generated arms have the following weights, as there are repeats:
[8.0]
[WARNING 07-10 12:58:14] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 7 unique candidates. Generated arms have the following weights, as there are repeats:
[6.0, 1.0]
[WARNING 07-10 12:58:25] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 5 unique candidates. Generated arms have the following weights, as there are repeats:
[4.0, 1.0]
[WARNING 07-10 12:58:31] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 3 unique candidates. Generated arms have the following weights, as there are repeats:
[1.0, 2.0]
BoTorchGenerator, failed: 20 ('RESULT: ' not found), best RESULT: 0, requested 15 jobs, got 15, 14.33 s/job                                     :  56%|█████▒░░░░| 25/45 [27:29<09:46, 29.34s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
[WARNING 07-10 13:01:02] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 15 unique candidates. Generated arms have the following weights, as there are repeats:
[1.0, 14.0]
[WARNING 07-10 13:01:22] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 13 unique candidates. Generated arms have the following weights, as there are repeats:
[12.0, 1.0]
[WARNING 07-10 13:01:34] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 11 unique candidates. Generated arms have the following weights, as there are repeats:
[11.0]
[WARNING 07-10 13:01:48] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 10 unique candidates. Generated arms have the following weights, as there are repeats:
[10.0]
[WARNING 07-10 13:01:59] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 9 unique candidates. Generated arms have the following weights, as there are repeats:
[8.0, 1.0]
[WARNING 07-10 13:02:08] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 7 unique candidates. Generated arms have the following weights, as there are repeats:
[7.0]
[WARNING 07-10 13:02:16] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 6 unique candidates. Generated arms have the following weights, as there are repeats:
[6.0]
[WARNING 07-10 13:02:22] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 5 unique candidates. Generated arms have the following weights, as there are repeats:
[1.0, 4.0]
[WARNING 07-10 13:02:26] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 3 unique candidates. Generated arms have the following weights, as there are repeats:
[1.0, 2.0]
BoTorchGenerator, failed: 20 ('RESULT: ' not found), best RESULT: 0, requested 15 jobs, got 15, 14.37 s/job                                     :  56%|█████▒░░░░| 25/45 [31:15<09:46, 29.34s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
[WARNING 07-10 13:04:50] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 15 unique candidates. Generated arms have the following weights, as there are repeats:
[1.0, 14.0]
[WARNING 07-10 13:05:11] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 13 unique candidates. Generated arms have the following weights, as there are repeats:
[12.0, 1.0]
[WARNING 07-10 13:05:28] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 11 unique candidates. Generated arms have the following weights, as there are repeats:
[1.0, 10.0]
[WARNING 07-10 13:05:45] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 9 unique candidates. Generated arms have the following weights, as there are repeats:
[9.0]
[WARNING 07-10 13:05:56] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 8 unique candidates. Generated arms have the following weights, as there are repeats:
[8.0]
[WARNING 07-10 13:06:04] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 7 unique candidates. Generated arms have the following weights, as there are repeats:
[7.0]
[WARNING 07-10 13:06:13] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 6 unique candidates. Generated arms have the following weights, as there are repeats:
[6.0]
[WARNING 07-10 13:06:23] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 5 unique candidates. Generated arms have the following weights, as there are repeats:
[4.0, 1.0]
[WARNING 07-10 13:06:29] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 3 unique candidates. Generated arms have the following weights, as there are repeats:
[2.0, 1.0]
BoTorchGenerator, failed: 20 ('RESULT: ' not found), best RESULT: 0, requested 15 jobs, got 15, 16.04 s/job                                     :  56%|█████▒░░░░| 25/45 [35:29<09:46, 29.34s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
[WARNING 07-10 13:09:03] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 15 unique candidates. Generated arms have the following weights, as there are repeats:
[15.0]
[WARNING 07-10 13:09:28] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 14 unique candidates. Generated arms have the following weights, as there are repeats:
[14.0]
[WARNING 07-10 13:09:50] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 13 unique candidates. Generated arms have the following weights, as there are repeats:
[13.0]
[WARNING 07-10 13:10:15] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 12 unique candidates. Generated arms have the following weights, as there are repeats:
[12.0]
[WARNING 07-10 13:10:31] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 11 unique candidates. Generated arms have the following weights, as there are repeats:
[11.0]
[WARNING 07-10 13:10:46] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 10 unique candidates. Generated arms have the following weights, as there are repeats:
[10.0]
[WARNING 07-10 13:11:00] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 9 unique candidates. Generated arms have the following weights, as there are repeats:
[9.0]
[WARNING 07-10 13:11:13] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 8 unique candidates. Generated arms have the following weights, as there are repeats:
[8.0]
[WARNING 07-10 13:11:24] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 7 unique candidates. Generated arms have the following weights, as there are repeats:
[7.0]
[WARNING 07-10 13:11:35] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 6 unique candidates. Generated arms have the following weights, as there are repeats:
[6.0]
[WARNING 07-10 13:11:43] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 5 unique candidates. Generated arms have the following weights, as there are repeats:
[5.0]
[WARNING 07-10 13:11:49] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 4 unique candidates. Generated arms have the following weights, as there are repeats:
[4.0]
[WARNING 07-10 13:11:54] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 3 unique candidates. Generated arms have the following weights, as there are repeats:
[3.0]
[WARNING 07-10 13:11:57] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 2 unique candidates. Generated arms have the following weights, as there are repeats:
[2.0]
BoTorchGenerator, failed: 20 ('RESULT: ' not found), best RESULT: 0, requested 15 jobs, got 15, 20.61 s/job                                     :  56%|█████▒░░░░| 25/45 [40:51<09:46, 29.34s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
[WARNING 07-10 13:14:28] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 15 unique candidates. Generated arms have the following weights, as there are repeats:
[14.0, 1.0]
[WARNING 07-10 13:14:51] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 13 unique candidates. Generated arms have the following weights, as there are repeats:
[13.0]
[WARNING 07-10 13:15:10] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 12 unique candidates. Generated arms have the following weights, as there are repeats:
[12.0]
[WARNING 07-10 13:15:28] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 11 unique candidates. Generated arms have the following weights, as there are repeats:
[10.0, 1.0]
[WARNING 07-10 13:15:39] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 9 unique candidates. Generated arms have the following weights, as there are repeats:
[9.0]
[WARNING 07-10 13:15:48] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 8 unique candidates. Generated arms have the following weights, as there are repeats:
[7.0, 1.0]
[WARNING 07-10 13:15:54] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 6 unique candidates. Generated arms have the following weights, as there are repeats:
[4.0, 2.0]
[WARNING 07-10 13:15:59] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 4 unique candidates. Generated arms have the following weights, as there are repeats:
[1.0, 3.0]
[WARNING 07-10 13:16:02] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 2 unique candidates. Generated arms have the following weights, as there are repeats:
[2.0]
BoTorchGenerator, failed: 20 ('RESULT: ' not found), best RESULT: 0, requested 15 jobs, got 15, 13.45 s/job                                     :  56%|█████▒░░░░| 25/45 [44:26<09:46, 29.34s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
[WARNING 07-10 13:17:52] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 15 unique candidates. Generated arms have the following weights, as there are repeats:
[14.0, 1.0]
[WARNING 07-10 13:18:05] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 13 unique candidates. Generated arms have the following weights, as there are repeats:
[12.0, 1.0]
[WARNING 07-10 13:18:17] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 11 unique candidates. Generated arms have the following weights, as there are repeats:
[10.0, 1.0]
[WARNING 07-10 13:18:27] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 9 unique candidates. Generated arms have the following weights, as there are repeats:
[9.0]
[WARNING 07-10 13:18:35] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 8 unique candidates. Generated arms have the following weights, as there are repeats:
[8.0]
[WARNING 07-10 13:18:43] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 7 unique candidates. Generated arms have the following weights, as there are repeats:
[7.0]
[WARNING 07-10 13:18:49] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 6 unique candidates. Generated arms have the following weights, as there are repeats:
[6.0]
[WARNING 07-10 13:18:54] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 5 unique candidates. Generated arms have the following weights, as there are repeats:
[1.0, 4.0]
[WARNING 07-10 13:18:58] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 3 unique candidates. Generated arms have the following weights, as there are repeats:
[3.0]
[WARNING 07-10 13:19:00] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 2 unique candidates. Generated arms have the following weights, as there are repeats:
[2.0]
BoTorchGenerator, failed: 20 ('RESULT: ' not found), best RESULT: 0, requested 15 jobs, got 15, 11.37 s/job                                     :  56%|█████▒░░░░| 25/45 [47:27<09:46, 29.34s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
[WARNING 07-10 13:20:52] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 15 unique candidates. Generated arms have the following weights, as there are repeats:
[15.0]
[WARNING 07-10 13:21:07] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 14 unique candidates. Generated arms have the following weights, as there are repeats:
[14.0]
[WARNING 07-10 13:21:20] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 13 unique candidates. Generated arms have the following weights, as there are repeats:
[13.0]
[WARNING 07-10 13:21:33] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 12 unique candidates. Generated arms have the following weights, as there are repeats:
[11.0, 1.0]
[WARNING 07-10 13:21:44] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 10 unique candidates. Generated arms have the following weights, as there are repeats:
[10.0]
[WARNING 07-10 13:21:53] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 9 unique candidates. Generated arms have the following weights, as there are repeats:
[9.0]
[WARNING 07-10 13:22:02] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 8 unique candidates. Generated arms have the following weights, as there are repeats:
[1.0, 7.0]
[WARNING 07-10 13:22:08] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 6 unique candidates. Generated arms have the following weights, as there are repeats:
[6.0]
[WARNING 07-10 13:22:14] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 5 unique candidates. Generated arms have the following weights, as there are repeats:
[5.0]
[WARNING 07-10 13:22:18] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 4 unique candidates. Generated arms have the following weights, as there are repeats:
[4.0]
[WARNING 07-10 13:22:22] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 3 unique candidates. Generated arms have the following weights, as there are repeats:
[2.0, 1.0]
BoTorchGenerator, failed: 20 ('RESULT: ' not found), best RESULT: 0, requested 15 jobs, got 15, 12.91 s/job                                     :  56%|█████▒░░░░| 25/45 [50:50<09:46, 29.34s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
[WARNING 07-10 13:24:17] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 15 unique candidates. Generated arms have the following weights, as there are repeats:
[14.0, 1.0]
[WARNING 07-10 13:24:30] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 13 unique candidates. Generated arms have the following weights, as there are repeats:
[12.0, 1.0]
[WARNING 07-10 13:24:42] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 11 unique candidates. Generated arms have the following weights, as there are repeats:
[11.0]
[WARNING 07-10 13:24:52] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 10 unique candidates. Generated arms have the following weights, as there are repeats:
[10.0]
[WARNING 07-10 13:25:03] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 9 unique candidates. Generated arms have the following weights, as there are repeats:
[9.0]
[WARNING 07-10 13:25:11] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 8 unique candidates. Generated arms have the following weights, as there are repeats:
[8.0]
[WARNING 07-10 13:25:19] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 7 unique candidates. Generated arms have the following weights, as there are repeats:
[7.0]
[WARNING 07-10 13:25:26] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 6 unique candidates. Generated arms have the following weights, as there are repeats:
[6.0]
[WARNING 07-10 13:25:31] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 5 unique candidates. Generated arms have the following weights, as there are repeats:
[5.0]
[WARNING 07-10 13:25:36] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 4 unique candidates. Generated arms have the following weights, as there are repeats:
[4.0]
[WARNING 07-10 13:25:39] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 3 unique candidates. Generated arms have the following weights, as there are repeats:
[3.0]
[WARNING 07-10 13:25:41] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 2 unique candidates. Generated arms have the following weights, as there are repeats:
[2.0]
BoTorchGenerator, failed: 20 ('RESULT: ' not found), best RESULT: 0, requested 15 jobs, got 15, 12.53 s/job                                     :  56%|█████▒░░░░| 25/45 [54:08<09:46, 29.34s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
[WARNING 07-10 13:27:34] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 15 unique candidates. Generated arms have the following weights, as there are repeats:
[15.0]
[WARNING 07-10 13:27:47] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 14 unique candidates. Generated arms have the following weights, as there are repeats:
[14.0]
[WARNING 07-10 13:28:01] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 13 unique candidates. Generated arms have the following weights, as there are repeats:
[13.0]
[WARNING 07-10 13:28:12] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 12 unique candidates. Generated arms have the following weights, as there are repeats:
[11.0, 1.0]
[WARNING 07-10 13:28:22] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 10 unique candidates. Generated arms have the following weights, as there are repeats:
[9.0, 1.0]
[WARNING 07-10 13:28:30] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 8 unique candidates. Generated arms have the following weights, as there are repeats:
[8.0]
[WARNING 07-10 13:28:37] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 7 unique candidates. Generated arms have the following weights, as there are repeats:
[7.0]
[WARNING 07-10 13:28:43] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 6 unique candidates. Generated arms have the following weights, as there are repeats:
[6.0]
[WARNING 07-10 13:28:48] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 5 unique candidates. Generated arms have the following weights, as there are repeats:
[1.0, 4.0]
[WARNING 07-10 13:28:52] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 3 unique candidates. Generated arms have the following weights, as there are repeats:
[3.0]
[WARNING 07-10 13:28:54] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 2 unique candidates. Generated arms have the following weights, as there are repeats:
[2.0]
BoTorchGenerator, failed: 20 ('RESULT: ' not found), best RESULT: 0, requested 15 jobs, got 15, 12.36 s/job                                     :  56%|█████▒░░░░| 25/45 [57:24<09:46, 29.34s/it]break_run_search for create_and_execute_next_runs
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for run_search 
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
break_run_search for _get_next_trials
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Variable             ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ args.max_failed_jobs │ 0     │
│ succeeded_jobs()     │ 25    │
│ submitted_jobs()     │ 45    │
│ failed_jobs()        │ 20    │
│ count_done_jobs()    │ 25    │
│ _max_eval            │ 45    │
│ _progress_bar.total  │ 45    │
│ NR_INSERTED_JOBS     │ 0     │
│ _ret                 │ False │
└──────────────────────┴───────┘
[WARNING 07-10 13:30:50] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 15 unique candidates. Generated arms have the following weights, as there are repeats:
[15.0]
[WARNING 07-10 13:31:04] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 14 unique candidates. Generated arms have the following weights, as there are repeats:
[13.0, 1.0]
[WARNING 07-10 13:31:16] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 12 unique candidates. Generated arms have the following weights, as there are repeats:
[12.0]
[WARNING 07-10 13:31:27] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 11 unique candidates. Generated arms have the following weights, as there are repeats:
[10.0, 1.0]
[WARNING 07-10 13:31:35] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 9 unique candidates. Generated arms have the following weights, as there are repeats:
[9.0]
[WARNING 07-10 13:31:44] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 8 unique candidates. Generated arms have the following weights, as there are repeats:
[8.0]
[WARNING 07-10 13:31:51] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 7 unique candidates. Generated arms have the following weights, as there are repeats:
[1.0, 6.0]
[WARNING 07-10 13:31:56] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 5 unique candidates. Generated arms have the following weights, as there are repeats:
[5.0]
[WARNING 07-10 13:32:01] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 4 unique candidates. Generated arms have the following weights, as there are repeats:
[4.0]
[WARNING 07-10 13:32:04] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 3 unique candidates. Generated arms have the following weights, as there are repeats:
[3.0]
[WARNING 07-10 13:32:07] ax.modelbridge.base: TorchAdapter(model=BoTorchGenerator) was not able to generate 2 unique candidates. Generated arms have the following weights, as there are repeats:
[2.0]
BoTorchGenerator, failed: 20 ('RESULT: ' not found), best RESULT: 0, getting new HP set #8/15                                                   :  56%|█████▒░░░░| 25/45 [59:51<09:46, 29.34s/it]
Runtime (end): 3 days 17 hours 25 minutes and 25 seconds, PID: 8707

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2025-07-10 12:33:01: SOBOL, Started OmniOpt2 run...
2025-07-10 12:33:06: Sobol, getting new HP set #1/15
2025-07-10 12:33:08: Sobol, getting new HP set #2/15
2025-07-10 12:33:11: Sobol, getting new HP set #3/15
2025-07-10 12:33:14: Sobol, getting new HP set #4/15
2025-07-10 12:33:16: Sobol, getting new HP set #5/15
2025-07-10 12:33:18: Sobol, getting new HP set #6/15
2025-07-10 12:33:21: Sobol, getting new HP set #7/15
2025-07-10 12:33:23: Sobol, getting new HP set #8/15
2025-07-10 12:33:25: Sobol, getting new HP set #9/15
2025-07-10 12:33:27: Sobol, getting new HP set #10/15
2025-07-10 12:33:29: Sobol, getting new HP set #11/15
2025-07-10 12:33:32: Sobol, getting new HP set #12/15
2025-07-10 12:33:34: Sobol, getting new HP set #13/15
2025-07-10 12:33:36: Sobol, getting new HP set #14/15
2025-07-10 12:33:40: Sobol, getting new HP set #15/15
2025-07-10 12:33:43: Sobol, requested 15 jobs, got 15, 2.56 s/job
2025-07-10 12:33:44: Sobol, eval #1/15 start                     
2025-07-10 12:33:45: Sobol, eval #2/15 start                     
2025-07-10 12:33:46: Sobol, eval #3/15 start                     
2025-07-10 12:33:47: Sobol, eval #4/15 start                     
2025-07-10 12:33:49: Sobol, eval #5/15 start                     
2025-07-10 12:33:50: Sobol, eval #6/15 start                     
2025-07-10 12:33:52: Sobol, eval #7/15 start                     
2025-07-10 12:33:53: Sobol, eval #8/15 start                     
2025-07-10 12:33:54: Sobol, eval #9/15 start                     
2025-07-10 12:33:55: Sobol, eval #10/15 start                    
2025-07-10 12:33:57: Sobol, eval #11/15 start                    
2025-07-10 12:33:58: Sobol, eval #12/15 start                    
2025-07-10 12:33:59: Sobol, eval #13/15 start                    
2025-07-10 12:34:00: Sobol, eval #14/15 start                    
2025-07-10 12:34:02: Sobol, eval #15/15 start                    
2025-07-10 12:34:03: Sobol, starting new job                     
2025-07-10 12:34:07: Sobol, pending 1 = ∑1/15, started new job   
2025-07-10 12:34:09: Sobol, running 1 = ∑1/15, starting new job  
2025-07-10 12:34:11: Sobol, running/pending 1/1 = ∑2/15, started new job
2025-07-10 12:34:12: Sobol, running 2 = ∑2/15, starting new job         
2025-07-10 12:34:15: Sobol, running 3 = ∑3/15, started new job          
2025-07-10 12:34:16: Sobol, running 3 = ∑3/15, starting new job         
2025-07-10 12:34:19: Sobol, completed/running/pending 1/2/1 = ∑4/15, started new job
2025-07-10 12:34:22: Sobol, best RESULT: 74.60605353116989, completed/running 2/2 = ∑4/15, starting new job
2025-07-10 12:34:24: Sobol, best RESULT: 74.60605353116989, completed/running/pending 2/2/1 = ∑5/15, started new job
2025-07-10 12:34:27: Sobol, best RESULT: 74.60605353116989, completed/running 3/2 = ∑5/15, starting new job         
2025-07-10 12:34:29: Sobol, best RESULT: 74.60605353116989, completed/running/pending 3/2/1 = ∑6/15, started new job
2025-07-10 12:34:31: Sobol, best RESULT: 74.60605353116989, completed/running 4/2 = ∑6/15, starting new job         
2025-07-10 12:34:34: Sobol, best RESULT: 74.60605353116989, completed/running/pending 4/2/1 = ∑7/15, started new job
2025-07-10 12:34:37: Sobol, best RESULT: 74.60605353116989, completed/running 5/2 = ∑7/15, starting new job         
2025-07-10 12:34:40: Sobol, best RESULT: 74.60605353116989, completed/running/pending 5/2/1 = ∑8/15, started new job
2025-07-10 12:34:43: Sobol, best RESULT: 74.60605353116989, completed/running 6/2 = ∑8/15, starting new job         
2025-07-10 12:34:46: Sobol, best RESULT: 74.60605353116989, completed/running/pending 7/1/1 = ∑9/15, started new job
2025-07-10 12:34:50: Sobol, best RESULT: 74.60605353116989, completed/running 8/1 = ∑9/15, starting new job         
2025-07-10 12:34:52: Sobol, best RESULT: 74.60605353116989, completed/running/pending 8/1/1 = ∑10/15, started new job
2025-07-10 12:34:56: Sobol, best RESULT: 74.60605353116989, completed/running 9/1 = ∑10/15, starting new job         
2025-07-10 12:34:59: Sobol, best RESULT: 74.60605353116989, completed/running/pending 9/1/1 = ∑11/15, started new job
2025-07-10 12:35:01: Sobol, best RESULT: 74.60605353116989, completed/running 9/2 = ∑11/15, starting new job         
2025-07-10 12:35:04: Sobol, best RESULT: 74.60605353116989, completed/running/pending 10/1/1 = ∑12/15, started new job
2025-07-10 12:35:07: Sobol, best RESULT: 74.60605353116989, completed/running 10/2 = ∑12/15, starting new job         
2025-07-10 12:35:10: Sobol, best RESULT: 74.60605353116989, completed/running/pending 10/2/1 = ∑13/15, started new job
2025-07-10 12:35:13: Sobol, best RESULT: 74.60605353116989, completed/running 11/2 = ∑13/15, starting new job         
2025-07-10 12:35:16: Sobol, best RESULT: 74.60605353116989, completed/running/pending 11/2/1 = ∑14/15, started new job
2025-07-10 12:35:19: Sobol, best RESULT: 74.60605353116989, completed/running 12/2 = ∑14/15, starting new job         
2025-07-10 12:35:22: Sobol, best RESULT: 74.60605353116989, completed/running/pending 13/1/1 = ∑15/15, started new job
2025-07-10 12:35:30: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = ∑15/15, job_failed               
2025-07-10 12:35:30: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = ∑15/15, job_failed               
2025-07-10 12:35:30: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = ∑15/15, job_failed               
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = ∑15/15, job_failed               
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = ∑15/15, new result: 220.29977105557919
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = ∑15/15, new result: 453.5284452140331 
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = ∑15/15, new result: 296.73428647220135
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = ∑15/15, new result: 652.4880155920982 
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = ∑15/15, new result: 830.4769694805145 
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = ∑15/15, new result: 701.5563789755106 
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = ∑15/15, new result: 74.60605353116989 
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = ∑15/15, new result: 750.1586098223925 
2025-07-10 12:35:39: Sobol, failed: 4 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 10/1 = ∑11/15, job_failed
2025-07-10 12:35:39: Sobol, failed: 4 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 10/1 = ∑11/15, job_failed
2025-07-10 12:35:39: Sobol, failed: 4 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 10/1 = ∑11/15, job_failed
2025-07-10 12:35:51: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, finishing jobs, finished 15 jobs           
2025-07-10 12:35:58: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #1/15                   
2025-07-10 12:36:02: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #2/15                   
2025-07-10 12:36:07: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #3/15                   
2025-07-10 12:36:11: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #4/15                   
2025-07-10 12:36:15: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #5/15                   
2025-07-10 12:36:19: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #6/15                   
2025-07-10 12:36:23: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #7/15                   
2025-07-10 12:36:28: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #8/15                   
2025-07-10 12:36:33: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #9/15                   
2025-07-10 12:36:37: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #10/15                  
2025-07-10 12:36:41: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #11/15                  
2025-07-10 12:36:45: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #12/15                  
2025-07-10 12:36:50: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #13/15                  
2025-07-10 12:36:53: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #14/15                  
2025-07-10 12:36:58: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, getting new HP set #15/15                  
2025-07-10 12:37:03: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, requested 15 jobs, got 15, 4.39 s/job      
2025-07-10 12:37:04: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #1/15 start                           
2025-07-10 12:37:07: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #2/15 start                           
2025-07-10 12:37:09: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #3/15 start                           
2025-07-10 12:37:12: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #4/15 start                           
2025-07-10 12:37:14: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #5/15 start                           
2025-07-10 12:37:17: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #6/15 start                           
2025-07-10 12:37:20: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #7/15 start                           
2025-07-10 12:37:22: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #8/15 start                           
2025-07-10 12:37:25: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #9/15 start                           
2025-07-10 12:37:27: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #10/15 start                          
2025-07-10 12:37:29: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #11/15 start                          
2025-07-10 12:37:31: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #12/15 start                          
2025-07-10 12:37:33: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #13/15 start                          
2025-07-10 12:37:35: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #14/15 start                          
2025-07-10 12:37:37: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, eval #15/15 start                          
2025-07-10 12:37:39: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, starting new job                           
2025-07-10 12:37:42: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, pending 1 = ∑1/15, started new job         
2025-07-10 12:37:46: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, running 1 = ∑1/15, starting new job        
2025-07-10 12:37:49: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, running/pending 1/1 = ∑2/15, started new job
2025-07-10 12:37:53: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 1/1 = ∑2/15, starting new job
2025-07-10 12:37:56: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running/pending 1/1/1 = ∑3/15, started new job
2025-07-10 12:37:59: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 1/2 = ∑3/15, starting new job         
2025-07-10 12:38:02: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running/pending 2/1/1 = ∑4/15, started new job
2025-07-10 12:38:07: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 3/1 = ∑4/15, starting new job         
2025-07-10 12:38:10: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running/pending 3/1/1 = ∑5/15, started new job
2025-07-10 12:38:14: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 4/1 = ∑5/15, starting new job         
2025-07-10 12:38:18: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running/pending 4/1/1 = ∑6/15, started new job
2025-07-10 12:38:23: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 5/1 = ∑6/15, starting new job         
2025-07-10 12:38:26: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running/pending 5/1/1 = ∑7/15, started new job
2025-07-10 12:38:31: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 6/1 = ∑7/15, starting new job         
2025-07-10 12:38:35: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running/pending 6/1/1 = ∑8/15, started new job
2025-07-10 12:38:39: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 7/1 = ∑8/15, starting new job         
2025-07-10 12:38:42: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running/pending 7/1/1 = ∑9/15, started new job
2025-07-10 12:38:47: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 8/1 = ∑9/15, starting new job         
2025-07-10 12:38:50: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running/pending 8/1/1 = ∑10/15, started new job
2025-07-10 12:38:57: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 9/1 = ∑10/15, starting new job         
2025-07-10 12:39:00: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running/pending 9/1/1 = ∑11/15, started new job
2025-07-10 12:39:05: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 10/1 = ∑11/15, starting new job        
2025-07-10 12:39:08: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running/pending 10/1/1 = ∑12/15, started new job
2025-07-10 12:39:12: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 11/1 = ∑12/15, starting new job         
2025-07-10 12:39:15: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running/pending 11/1/1 = ∑13/15, started new job
2025-07-10 12:39:17: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 11/2 = ∑13/15, starting new job         
2025-07-10 12:39:20: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running/pending 12/1/1 = ∑14/15, started new job
2025-07-10 12:39:25: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 13/1 = ∑14/15, starting new job         
2025-07-10 12:39:29: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed/running 13/2 = ∑15/15, started new job          
2025-07-10 12:39:40: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed 15 = ∑15/15, job_failed                         
2025-07-10 12:39:40: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed 15 = ∑15/15, job_failed                         
2025-07-10 12:39:40: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed 15 = ∑15/15, job_failed                         
2025-07-10 12:39:40: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed 15 = ∑15/15, job_failed                         
2025-07-10 12:39:40: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed 15 = ∑15/15, job_failed                         
2025-07-10 12:39:40: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed 15 = ∑15/15, job_failed                         
2025-07-10 12:39:40: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed 15 = ∑15/15, new result: 29.436547309160233     
2025-07-10 12:39:40: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed 15 = ∑15/15, new result: 424.59024116396904     
2025-07-10 12:39:40: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed 15 = ∑15/15, new result: 797.6322770118713      
2025-07-10 12:39:40: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed 15 = ∑15/15, new result: 668.7422040849924      
2025-07-10 12:39:40: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed 15 = ∑15/15, new result: 128.1444039195776      
2025-07-10 12:39:40: Sobol, failed: 7 ('RESULT: <FLOAT>' not found), best RESULT: 74.60605353116989, completed 15 = ∑15/15, new result: 204.56438139081        
2025-07-10 12:39:49: Sobol, failed: 13 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed 9 = ∑9/15, job_failed                         
2025-07-10 12:39:50: Sobol, failed: 13 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed 9 = ∑9/15, new result: 325.64197294414043     
2025-07-10 12:39:50: Sobol, failed: 13 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed 9 = ∑9/15, new result: 469.2643117159605      
2025-07-10 12:40:05: Sobol, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, finishing jobs, finished 15 jobs                        
2025-07-10 12:42:12: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #1/15                     
2025-07-10 12:42:17: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #2/15                     
2025-07-10 12:42:23: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #3/15                     
2025-07-10 12:42:29: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #4/15                     
2025-07-10 12:42:35: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #5/15                     
2025-07-10 12:42:40: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #6/15                     
2025-07-10 12:42:46: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #7/15                     
2025-07-10 12:42:50: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #8/15                     
2025-07-10 12:42:56: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #9/15                     
2025-07-10 12:43:03: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #10/15                    
2025-07-10 12:43:08: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #11/15                    
2025-07-10 12:43:13: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #12/15                    
2025-07-10 12:43:18: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #13/15                    
2025-07-10 12:43:24: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #14/15                    
2025-07-10 12:43:31: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, getting new HP set #15/15                    
2025-07-10 12:43:36: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, requested 15 jobs, got 15, 13.62 s/job       
2025-07-10 12:43:38: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #1/15 start                             
2025-07-10 12:43:41: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #2/15 start                             
2025-07-10 12:43:44: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #3/15 start                             
2025-07-10 12:43:47: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #4/15 start                             
2025-07-10 12:43:50: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #5/15 start                             
2025-07-10 12:43:53: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #6/15 start                             
2025-07-10 12:43:56: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #7/15 start                             
2025-07-10 12:43:59: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #8/15 start                             
2025-07-10 12:44:01: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #9/15 start                             
2025-07-10 12:44:04: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #10/15 start                            
2025-07-10 12:44:07: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #11/15 start                            
2025-07-10 12:44:10: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #12/15 start                            
2025-07-10 12:44:13: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #13/15 start                            
2025-07-10 12:44:16: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #14/15 start                            
2025-07-10 12:44:18: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, eval #15/15 start                            
2025-07-10 12:44:21: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, starting new job                             
2025-07-10 12:44:24: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, pending 1 = ∑1/15, started new job           
2025-07-10 12:44:27: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, running 1 = ∑1/15, starting new job          
2025-07-10 12:44:30: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, running/pending 1/1 = ∑2/15, started new job 
2025-07-10 12:44:36: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 1/1 = ∑2/15, starting new job
2025-07-10 12:44:39: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running/pending 1/1/1 = ∑3/15, started new job
2025-07-10 12:44:45: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 2/1 = ∑3/15, starting new job         
2025-07-10 12:44:49: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running/pending 2/1/1 = ∑4/15, started new job
2025-07-10 12:44:54: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 3/1 = ∑4/15, starting new job         
2025-07-10 12:44:57: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running/pending 3/1/1 = ∑5/15, started new job
2025-07-10 12:45:03: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 4/1 = ∑5/15, starting new job         
2025-07-10 12:45:07: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running/pending 4/1/1 = ∑6/15, started new job
2025-07-10 12:45:13: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 5/1 = ∑6/15, starting new job         
2025-07-10 12:45:16: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running/pending 5/1/1 = ∑7/15, started new job
2025-07-10 12:45:22: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 6/1 = ∑7/15, starting new job         
2025-07-10 12:45:26: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running/pending 6/1/1 = ∑8/15, started new job
2025-07-10 12:45:31: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 7/1 = ∑8/15, starting new job         
2025-07-10 12:45:35: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running/pending 7/1/1 = ∑9/15, started new job
2025-07-10 12:45:41: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 8/1 = ∑9/15, starting new job         
2025-07-10 12:45:45: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running/pending 8/1/1 = ∑10/15, started new job
2025-07-10 12:45:52: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 9/1 = ∑10/15, starting new job         
2025-07-10 12:45:56: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running/pending 9/1/1 = ∑11/15, started new job
2025-07-10 12:46:03: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 10/1 = ∑11/15, starting new job        
2025-07-10 12:46:08: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/pending 11/1 = ∑12/15, started new job         
2025-07-10 12:46:15: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 11/1 = ∑12/15, starting new job        
2025-07-10 12:46:20: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running/pending 11/1/1 = ∑13/15, started new job
2025-07-10 12:46:29: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 12/1 = ∑13/15, starting new job         
2025-07-10 12:46:32: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running/pending 12/1/1 = ∑14/15, started new job
2025-07-10 12:46:38: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 13/1 = ∑14/15, starting new job         
2025-07-10 12:46:42: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running/pending 13/1/1 = ∑15/15, started new job
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 14/1 = ∑15/15, job_failed               
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 14/1 = ∑15/15, job_failed               
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 14/1 = ∑15/15, job_failed               
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 14/1 = ∑15/15, job_failed               
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 14/1 = ∑15/15, job_failed               
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 14/1 = ∑15/15, new result: 0.0          
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 14/1 = ∑15/15, new result: 0.0          
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 14/1 = ∑15/15, new result: 1.1368684e-13
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 14/1 = ∑15/15, new result: 5.684342e-14 
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 14/1 = ∑15/15, new result: 0.0          
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 14/1 = ∑15/15, new result: 0.0          
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 ('RESULT: <FLOAT>' not found), best RESULT: 29.436547309160233, completed/running 14/1 = ∑15/15, new result: 1.1368684e-13
2025-07-10 12:47:09: BoTorchGenerator, failed: 19 ('RESULT: <FLOAT>' not found), best RESULT: 0, completed 10 = ∑10/15, new result: 0.0                                     
2025-07-10 12:47:09: BoTorchGenerator, failed: 19 ('RESULT: <FLOAT>' not found), best RESULT: 0, completed 10 = ∑10/15, job_failed                                          
2025-07-10 12:47:09: BoTorchGenerator, failed: 19 ('RESULT: <FLOAT>' not found), best RESULT: 0, completed 10 = ∑10/15, new result: 0.0                                     
2025-07-10 12:47:46: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, finishing jobs, finished 15 jobs                                           
2025-07-10 12:50:41: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 12:50:48: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 12:50:54: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 12:51:02: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 12:51:08: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 12:51:16: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 12:51:22: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 12:51:29: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 12:51:35: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 12:51:41: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 12:51:48: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 12:51:55: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 12:52:01: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 12:52:09: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 12:52:16: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 12:52:23: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, requested 15 jobs, got 15, 17.92 s/job                                     
2025-07-10 12:55:10: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 12:55:17: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 12:55:23: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 12:55:29: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 12:55:35: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 12:55:41: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 12:55:47: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 12:55:53: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 12:55:59: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 12:56:06: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 12:56:12: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 12:56:19: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 12:56:25: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 12:56:31: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 12:56:37: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 12:56:43: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, requested 15 jobs, got 15, 16.71 s/job                                     
2025-07-10 12:58:39: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 12:58:47: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 12:58:55: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 12:59:02: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 12:59:08: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 12:59:14: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 12:59:22: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 12:59:29: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 12:59:36: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 12:59:43: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 12:59:50: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 12:59:56: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:00:03: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:00:10: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:00:19: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:00:30: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, requested 15 jobs, got 15, 14.33 s/job                                     
2025-07-10 13:02:31: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:02:36: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:02:44: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:02:50: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:02:57: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:03:03: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:03:08: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:03:14: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:03:21: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:03:27: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:03:36: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:03:43: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:03:50: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:03:58: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:04:07: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:04:16: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, requested 15 jobs, got 15, 14.37 s/job                                     
2025-07-10 13:06:34: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:06:42: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:06:49: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:06:56: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:07:04: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:07:10: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:07:17: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:07:24: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:07:34: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:07:43: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:07:54: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:08:01: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:08:09: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:08:16: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:08:23: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:08:30: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, requested 15 jobs, got 15, 16.04 s/job                                     
2025-07-10 13:12:04: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:12:11: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:12:18: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:12:26: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:12:33: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:12:40: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:12:47: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:12:54: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:13:01: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:13:08: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:13:15: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:13:23: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:13:30: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:13:37: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:13:45: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:13:52: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, requested 15 jobs, got 15, 20.61 s/job                                     
2025-07-10 13:16:05: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:16:11: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:16:16: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:16:22: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:16:28: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:16:33: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:16:39: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:16:44: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:16:50: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:16:55: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:17:00: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:17:06: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:17:11: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:17:16: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:17:22: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:17:27: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, requested 15 jobs, got 15, 13.45 s/job                                     
2025-07-10 13:19:04: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:19:10: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:19:15: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:19:21: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:19:26: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:19:32: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:19:37: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:19:43: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:19:49: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:19:54: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:20:00: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:20:05: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:20:11: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:20:16: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:20:22: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:20:28: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, requested 15 jobs, got 15, 11.37 s/job                                     
2025-07-10 13:22:26: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:22:32: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:22:37: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:22:43: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:22:48: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:22:56: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:23:01: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:23:07: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:23:12: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:23:18: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:23:23: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:23:29: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:23:35: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:23:41: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:23:46: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:23:52: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, requested 15 jobs, got 15, 12.91 s/job                                     
2025-07-10 13:25:45: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:25:51: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:25:56: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:26:02: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:26:08: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:26:13: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:26:18: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:26:24: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:26:30: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:26:37: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:26:42: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:26:48: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:26:53: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:26:59: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:27:04: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:27:10: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, requested 15 jobs, got 15, 12.53 s/job                                     
2025-07-10 13:28:58: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:29:05: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:29:11: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:29:16: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:29:22: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:29:27: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:29:33: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:29:39: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:29:45: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:29:50: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:29:56: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:30:02: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:30:07: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:30:13: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:30:19: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:30:25: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, requested 15 jobs, got 15, 12.36 s/job                                     
2025-07-10 13:32:11: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:32:17: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:32:23: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:32:28: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:32:34: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:32:40: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:32:46: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:32:52: BoTorchGenerator, failed: 20 ('RESULT: <FLOAT>' not found), best RESULT: 0, getting new HP set #8/15                                                   

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Arguments Overview

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Download »worker_usage.csv« as file

1752150781.189585,15,0,0
1752150782.051816,15,0,0
1752150782.248681,15,0,0
1752150786.249832,15,0,0
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1752150847.4043016,15,1,7
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1752151005.7764373,15,0,0
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timestamp,ram_usage_mb,cpu_usage_percent
1752150780,665.3671875,33.1
1752150781,665.4921875,42.4
1752150782,665.6171875,36.7
1752150782,665.7421875,48.0
1752150782,665.7421875,42.9
1752150934,689.890625,42.9
1752150934,689.890625,53.8
1752150934,689.890625,50.7
1752150934,689.890625,47.7
1752150935,690.140625,27.5
1752150936,690.265625,60.7
1752150936,690.390625,46.2
1752150936,690.390625,52.1
1752150936,690.390625,48.3
1752150936,690.390625,60.9
1752150936,690.390625,45.7
1752150936,690.515625,25.1
1752150955,698.33984375,44.3
1752150955,698.33984375,100.0
1752150955,698.33984375,50.5
1752151184,701.58984375,45.4
1752151184,701.58984375,100.0
1752151184,701.58984375,45.3
1752151184,701.58984375,45.3
1752151184,701.58984375,75.0
1752151184,701.58984375,45.3
1752151184,701.58984375,71.4
1752151184,701.58984375,60.9
1752151184,701.58984375,50.9
1752151184,701.71484375,45.3
1752151185,701.71484375,24.8
1752151192,705.46484375,45.3
1752151192,705.46484375,31.0
1752151192,705.46484375,80.0
1752151192,705.46484375,53.0
1752151209,706.68359375,46.2
1752151209,706.68359375,33.5
1752151621,738.578125,90.0
1752151622,738.578125,16.7
1752151622,738.578125,19.4
1752151623,738.828125,52.5
1752151623,738.828125,52.5
1752151623,738.828125,52.5
1752151624,738.828125,57.6
1752151624,738.828125,58.3
1752151624,738.828125,55.7
1752151624,738.828125,52.6
1752151624,738.828125,25.0
1752151636,747.453125,53.2
1752151636,747.453125,50.3
1752151636,747.453125,52.1
1752151636,747.453125,50.8
1752151671,750.8125,54.6
1752151671,750.8125,25.9
1752151949,757.421875,57.6
1752151949,757.421875,46.4
1752151949,757.421875,50.0
1752152210,756.9140625,56.5
1752152210,756.9140625,59.6
1752152436,757.6640625,56.9
1752152437,757.6640625,45.8
1752152665,759.0390625,50.8
1752152665,759.0390625,31.7
1752152919,778.2890625,58.7
1752152919,778.2890625,25.0
1752153240,778.5390625,59.8
1752153240,778.5390625,23.0
1752153453,778.5390625,46.4
1752153453,778.5390625,24.6
1752153634,778.6640625,33.7
1752153634,778.6640625,32.0
1752153838,779.0390625,35.4
1752153838,779.0390625,17.8
1752154036,779.4140625,34.2
1752154036,779.4140625,15.1
1752154232,780.0390625,33.0
1752154232,780.0390625,18.1

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Visualization for result: RESULT (goal: minimize)

Best value: 0
Achieved at:
- run_time = 6
- x = 0

Parameter statistics

•  Main-Log
•  Debug-Logs
•  Single Logs

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menu[role="tablist"] button {
	white-space: nowrap;
	min-width: 100px;
}

.container {
	max-width: 100% !important;
}

.gridjs-sort {
	min-width: 1px !important;
}

td.gridjs-td {
	overflow: clip;
}

.title-bar-text {
	font-size: 22px;
	display: block ruby;
}

.title-bar {
	height: fit-content;
}

.window {
	width: fit-content;
	min-width: 100%;
}

.top_link {
	display: inline-block;
	padding: 5px 5px;
	background-color: #007bff; /* Blau, kannst du anpassen */
	color: white;
	text-decoration: none;
	font-size: 16px;
	font-weight: bold;
	border-radius: 6px;
	border: 2px solid #0056b3;
	text-align: center;
	transition: all 0.3s ease-in-out;
}

.top_link:hover {
	background-color: #0056b3;
	border-color: #004494;
}

.top_link:active {
	background-color: #003366;
	border-color: #002244;
}

button {
	color: black;
}

.share_folder_buttons {
	width: fit-content;
}

button {
	background: #fcfcfe;
	border-color: #919b9c;
	border-top-color: rgb(145, 155, 156);
	border-bottom-color: rgb(145, 155, 156);
	margin-right: -1px;
	border-bottom: 1px solid transparent;
	border-top: 1px solid #e68b2c;
	box-shadow: inset 0 2px #ffc73c;
}

button {
	padding-bottom: 2px;
	margin-top: -2px;
	background-color: #ece9d8;
	position: relative;
	z-index: 8;
	margin-left: -3px;
	margin-bottom: 1px;
}

.window {
	min-width: 1100px;
}

[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: 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: 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;
	border: solid 1px;
}

#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: sans-serif;
}

.gridjs-th-content {
	overflow: visible !important;
}

.error_text {
	color: red;
}

h1, h2, h3, h4, h5, h6 {
	margin-top: 1em;
	font-weight: bold;
	color: #333;
	border-left: 5px solid #ccc;
	padding-left: 0.5em;
}

.no_cursive {
	font-style: normal;	
}

.caveat {
	background-color: #fff8b3;
	border: 1px solid #f2d600;
	padding: 1em 1em 1em 70px;
	position: relative;
	font-family: sans-serif;
	color: #665500;
	margin: 1em 0;
	border-radius: 4px;
}

.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
	margin-top: 0;
	margin-bottom: 0.5em;
	font-weight: bold;
}

.caveat::before {
	content: "⚠️";
	font-size: 50px;
	line-height: 1;
	position: absolute;
	left: 10px;
	top: 50%;
	transform: translateY(-50%);
	pointer-events: none;
	user-select: none;
}

.caveat.warning::before { content: "⚠️"; }
.caveat.stop::before { content: "🛑"; }
.caveat.exclamation::before { content: "❗"; }
.caveat.alarm::before { content: "🚨"; }
.caveat.tip::before { content: "💡"; }

.tutorial_icon {
	display: inline-block;
	font-size: 1.3em;
	line-height: 1;
	vertical-align: middle;
	transform: translateY(-10%);
	padding: 0.2em 0;
}

.highlight {
	background-color: yellow;
	font-weight: bold;
}

#searchResults li {
	opacity: 0;
	transform: translateY(8px);
	animation: fadeInUp 0.3s ease-out forwards;
	animation-delay: 0.05s;
	list-style: none;
	margin-bottom: 5px;
}

@keyframes fadeInUp {
	to {
		opacity: 1;
		transform: translateY(0);
	}
}

.search_headline {
	font-weight: bold;
	margin-top: 1em;
	margin-bottom: 0.3em;
	color: #444;
}

.search_share_path {
	color: black;
	display: block ruby;
	margin-top: 20px;
}

@media print {
	#scads_bar {
		display: none !important;
	}
}

/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
body{
	color: #222
}

.surface{
	background: #ece9d8
}

u{
	text-decoration: none;
	border-bottom: .5px solid #222
}

a{
	color: #00f
}

a: focus{
	outline: 1px dotted #00f
}

code,code *{
	font-family: monospace
}

pre{
	display: block;
	padding: 12px 8px;
	background-color: #000;
	color: silver;
	font-size: 1rem;
	margin: 0;
	overflow: scroll;
}

summary: focus{
	outline: 1px dotted #000
}

: :-webkit-scrollbar{
	width: 16px
}

: :-webkit-scrollbar: horizontal{
	height: 17px
}

: :-webkit-scrollbar-track{
	background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
}

: :-webkit-scrollbar-thumb{
	background-color: #dfdfdf;
	box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
}

: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
	display: block
}

: :-webkit-scrollbar-button: vertical: start{
	background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
}

: :-webkit-scrollbar-button: vertical: end{
	background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
}

: :-webkit-scrollbar-button: horizontal: start{
	width: 16px;
	background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
}

: :-webkit-scrollbar-button: horizontal: end{
	width: 16px;
	background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
}

button{
	border: none;
	background: #ece9d8;
	box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
	border-radius: 0;
	min-width: 75px;
	min-height: 23px;
	padding: 0 12px
}

button: not(: disabled).active,button: not(: disabled): active{
	box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
}

button.focused,button: focus{
	outline: 1px dotted #000;
	outline-offset: -4px
}

label{
	display: inline-flex;
	align-items: center
}

textarea{
	padding: 3px 4px;
	border: none;
	background-color: #fff;
	box-sizing: border-box;
	-webkit-appearance: none;
	-moz-appearance: none;
	appearance: none;
	border-radius: 0
}

textarea: focus{
	outline: none
}

select: focus option{
	color: #000;
	background-color: #fff
}

.vertical-bar{
	width: 4px;
	height: 20px;
	background: silver;
	box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
}

&: disabled,&: disabled+label{
	color: grey;
	text-shadow: 1px 1px 0 #fff
}

input[type=radio]+label{
	line-height: 13px;
	position: relative;
	margin-left: 19px
}

input[type=radio]+label: before{
	content: "";
	position: absolute;
	top: 0;
	left: -19px;
	display: inline-block;
	width: 13px;
	height: 13px;
	margin-right: 6px;
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
}

input[type=radio]: active+label: before{
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
}

input[type=radio]: checked+label: after{
	content: "";
	display: block;
	width: 5px;
	height: 5px;
	top: 5px;
	left: -14px;
	position: absolute;
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
}

input[type=radio][disabled]+label: before{
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
}

input[type=radio][disabled]: checked+label: after{
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
}

input[type=email],input[type=password]{
	padding: 3px 4px;
	border: 1px solid #7f9db9;
	background-color: #fff;
	box-sizing: border-box;
	-webkit-appearance: none;
	-moz-appearance: none;
	appearance: none;
	border-radius: 0;
	height: 21px;
	line-height: 2
}

input[type=email]: focus,input[type=password]: focus{
	outline: none
}

input[type=range]{
	-webkit-appearance: none;
	width: 100%;
	background: transparent
}

input[type=range]: focus{
	outline: none
}

input[type=range]: :-webkit-slider-thumb{
	-webkit-appearance: none;
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
}

input[type=range]: :-moz-range-thumb{
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
}

input[type=range]: :-webkit-slider-runnable-track{
	background: #000;
	border-right: 1px solid grey;
	border-bottom: 1px solid grey;
	box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
}

input[type=range]: :-moz-range-track{
	background: #000;
	border-right: 1px solid grey;
	border-bottom: 1px solid grey;
	box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
}

input[type=range].has-box-indicator: :-webkit-slider-thumb{
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
}

input[type=range].has-box-indicator: :-moz-range-thumb{
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
}

.is-vertical{
	display: inline-block;
	width: 4px;
	height: 150px;
	transform: translateY(50%)
}

.is-vertical>input[type=range]{
	width: 150px;
	height: 4px;
	margin: 0 16px 0 10px;
	transform-origin: left;
	transform: rotate(270deg) translateX(calc(-50% + 8px))
}

.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
	border-left: 1px solid grey;
	border-bottom: 1px solid grey;
	box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
}

.is-vertical>input[type=range]: :-moz-range-track{
	border-left: 1px solid grey;
	border-bottom: 1px solid grey;
	box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
}

.is-vertical>input[type=range]: :-webkit-slider-thumb{
	transform: translateY(-8px) scaleX(-1)
}

.is-vertical>input[type=range]: :-moz-range-thumb{
	transform: translateY(2px) scaleX(-1)
}

.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
	transform: translateY(-10px) scaleX(-1)
}

.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
	transform: translateY(0) scaleX(-1)
}

.window{
	font-size: 11px;
	box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
	background: #ece9d8;
	padding: 3px
}

.window fieldset{
	margin-bottom: 9px
}

.title-bar{
	background: #000;
	padding: 3px 2px 3px 3px;
	display: flex;
	justify-content: space-between;
	align-items: center
}

.title-bar-text{
	font-weight: 700;
	color: #fff;
	letter-spacing: 0;
	margin-right: 24px
}

.title-bar-controls button{
	padding: 0;
	display: block;
	min-width: 16px;
	min-height: 14px
}

.title-bar-controls button: focus{
	outline: none
}

.window-body{
	margin: 8px
}

.window-body pre{
	margin: -8px
}

.status-bar{
	margin: 0 1px;
	display: flex;
	gap: 1px
}

.status-bar-field{
	box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
	flex-grow: 1;
	padding: 2px 3px;
	margin: 0
}

ul.tree-view{
	display: block;
	background: #fff;
	padding: 6px;
	margin: 0
}

ul.tree-view li{
	list-style-type: none;
	margin-top: 3px
}

ul.tree-view a{
	text-decoration: none;
	color: #000
}

ul.tree-view a: focus{
	background-color: #2267cb;
	color: #fff
}

ul.tree-view ul{
	margin-top: 3px;
	margin-left: 16px;
	padding-left: 16px;
	border-left: 1px dotted grey
}

ul.tree-view ul>li{
	position: relative
}

ul.tree-view ul>li: before{
	content: "";
	display: block;
	position: absolute;
	left: -16px;
	top: 6px;
	width: 12px;
	border-bottom: 1px dotted grey
}

ul.tree-view ul>li: last-child: after{
	content: "";
	display: block;
	position: absolute;
	left: -20px;
	top: 7px;
	bottom: 0;
	width: 8px;
	background: #fff
}

ul.tree-view ul details>summary: before{
	margin-left: -22px;
	position: relative;
	z-index: 1
}

ul.tree-view details{
	margin-top: 0
}

ul.tree-view details>summary: before{
	text-align: center;
	display: block;
	float: left;
	content: "+";
	border: 1px solid grey;
	width: 8px;
	height: 9px;
	line-height: 9px;
	margin-right: 5px;
	padding-left: 1px;
	background-color: #fff
}

ul.tree-view details[open] summary{
	margin-bottom: 0
}

ul.tree-view details[open]>summary: before{
	content: "-"
}

fieldset{
	border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
	padding: 10px;
	padding-block-start: 8px;
	margin: 0
}

legend{
	background: #ece9d8
}

menu[role=tablist]{
	position: relative;
	margin: 0 0 -2px;
	text-indent: 0;
	list-style-type: none;
	display: flex;
	padding-left: 3px
}

menu[role=tablist] button{
	z-index: 1;
	display: block;
	color: #222;
	text-decoration: none;
	min-width: unset
}

menu[role=tablist] button[aria-selected=true]{
	padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
}

menu[role=tablist] button: focus{
	outline: 1px dotted #222;outline-offset: -4px
}

menu[role=tablist].justified button{
	flex-grow: 1;text-align: center
}

[role=tabpanel]{
	padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
}

: :-webkit-scrollbar{
	width: 17px
}

: :-webkit-scrollbar-corner{
	background: #dfdfdf
}

: :-webkit-scrollbar-track: vertical{
	background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
}

: :-webkit-scrollbar-track: horizontal{
	background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
}

: :-webkit-scrollbar-thumb{
	background-position: 50%;
	background-repeat: no-repeat;
	background-color: #c8d6fb;
	background-size: 7px;
	border: 1px solid #fff;
	border-radius: 2px;
	box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
}

: :-webkit-scrollbar-thumb: vertical{
	background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
}

: :-webkit-scrollbar-thumb: horizontal{
	background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
}

: :-webkit-scrollbar-button: vertical: start{
	height: 17px;
	background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
}

: :-webkit-scrollbar-button: vertical: end{
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}

.window{
	box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
	border-top-left-radius: 8px;
	border-top-right-radius: 8px;
	padding: 0 0 3px;
	-webkit-font-smoothing: antialiased
}

.title-bar{
	background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
	padding: 3px 5px 3px 3px;
	border-top: 1px solid #0831d9;
	border-left: 1px solid #0831d9;
	border-right: 1px solid #001ea0;
	border-top-left-radius: 8px;
	border-top-right-radius: 7px;
	font-size: 13px;
	text-shadow: 1px 1px #0f1089;
	height: 21px
}

.title-bar-text{
	padding-left: 3px
}

.title-bar-controls{
	display: flex
}

.title-bar-controls button{
	min-width: 21px;
	min-height: 21px;
	margin-left: 2px;
	background-repeat: no-repeat;
	background-position: 50%;
	box-shadow: none;
	background-color: #0050ee;
	transition: background .1s;
	border: none
}

.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
	box-shadow: none!important
}

.title-bar-controls button[aria-label=Minimize]{
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stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
}

.status-bar{
	margin: 0 3px;
	box-shadow: inset 0 1px 2px grey;
	padding: 2px 1px;
	gap: 0
}

.status-bar-field{
	-webkit-font-smoothing: antialiased;
	box-shadow: none;
	padding: 1px 2px;
	border-right: 1px solid rgba(208,206,191,.75);
	border-left: 1px solid hsla(0,0%,100%,.75)
}

.status-bar-field: first-of-type{
	border-left: none
}

.status-bar-field: last-of-type{
	border-right: none
}

button{
	-webkit-font-smoothing: antialiased;
	box-sizing: border-box;
	border: 1px solid #003c74;
	background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
	box-shadow: none;
	border-radius: 3px
}

button: not(: disabled).active,button: not(: disabled): active{
	box-shadow: none;
	background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
}

button: not(: disabled): hover{
	box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
}

button.focused,button: focus{
	box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
}

button: :-moz-focus-inner{
	border: 0
}

input,label,option,select,textarea{
	-webkit-font-smoothing: antialiased
}

input[type=radio]{
	appearance: none;
	-webkit-appearance: none;
	-moz-appearance: none;
	margin: 0;
	background: 0;
	position: fixed;
	opacity: 0;
	border: none
}

input[type=radio]+label{
	line-height: 16px
}

input[type=radio]+label: before{
	background: linear-gradient(135deg,#dcdcd7,#fff);
	border-radius: 50%;
	border: 1px solid #1d5281
}

input[type=radio]: not([disabled]): not(: active)+label: hover: before{
	box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
}

input[type=radio]: active+label: before{
	background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
}

input[type=radio]: checked+label: after{
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
}

input[type=radio]: focus+label{
	outline: 1px dotted #000
}

input[type=radio][disabled]+label: before{
	border: 1px solid #cac8bb;
	background: #fff
}

input[type=radio][disabled]: checked+label: after{
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
}

input[type=email],input[type=password],textarea: :selection{
	background: #2267cb;
	color: #fff
}

input[type=range]: :-webkit-slider-thumb{
	height: 21px;
	width: 11px;
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
	transform: translateY(-8px)
}

input[type=range]: :-moz-range-thumb{
	height: 21px;
	width: 11px;
	border: 0;
	border-radius: 0;
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
	transform: translateY(2px)
}

input[type=range]: :-webkit-slider-runnable-track{
	width: 100%;
	height: 2px;
	box-sizing: border-box;
	background: #ecebe4;
	border-right: 1px solid #f3f2ea;
	border-bottom: 1px solid #f3f2ea;
	border-radius: 2px;
	box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
}

input[type=range]: :-moz-range-track{
	width: 100%;
	height: 2px;
	box-sizing: border-box;
	background: #ecebe4;
	border-right: 1px solid #f3f2ea;
	border-bottom: 1px solid #f3f2ea;
	border-radius: 2px;
	box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
}

input[type=range].has-box-indicator: :-webkit-slider-thumb{
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
}

input[type=range].has-box-indicator: :-moz-range-thumb{
	background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
}

.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
	border-left: 1px solid #f3f2ea;
	border-right: 0;
	border-bottom: 1px solid #f3f2ea;
	box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
}

.is-vertical>input[type=range]: :-moz-range-track{
	border-left: 1px solid #f3f2ea;
	border-right: 0;
	border-bottom: 1px solid #f3f2ea;
	box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
}

fieldset{
	box-shadow: none;
	background: #fff;
	border: 1px solid #d0d0bf;
	border-radius: 4px;
	padding-top: 10px
}

legend{
	background: transparent;
	color: #0046d5
}

.field-row{
	display: flex;
	align-items: center
}

.field-row>*+*{
	margin-left: 6px
}

[class^=field-row]+[class^=field-row]{
	margin-top: 6px
}

.field-row-stacked{
	display: flex;
	flex-direction: column
}

.field-row-stacked *+*{
	margin-top: 6px
}

menu[role=tablist] button{
	background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
	margin-left: -1px;
	margin-right: 2px;
	border-radius: 0;
	border-color: #91a7b4;
	border-top-right-radius: 3px;
	border-top-left-radius: 3px;
	padding: 0 12px 3px
}

menu[role=tablist] button: hover{
	box-shadow: unset;
	border-top: 1px solid #e68b2c;
	box-shadow: inset 0 2px #ffc73c
}

menu[role=tablist] button[aria-selected=true]{
	border-color: #919b9c;
	margin-right: -1px;
	border-bottom: 1px solid transparent;
	border-top: 1px solid #e68b2c;
	box-shadow: inset 0 2px #ffc73c
}

menu[role=tablist] button[aria-selected=true]: first-of-type: before{
	content: "";
	display: block;
	position: absolute;
	z-index: -1;
	top: 100%;
	left: -1px;
	height: 2px;
	width: 0;
	border-left: 1px solid #919b9c
}

[role=tabpanel]{
	box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
}

ul.tree-view{
	-webkit-font-smoothing: auto;
	border: 1px solid #7f9db9;
	padding: 2px 5px
}

@keyframes sliding{
	0%{
		transform: translateX(-30px)
	}

	to{
		transform: translateX(100%)
	}
}

progress{
	box-sizing: border-box;
	appearance: none;
	-webkit-appearance: none;
	-moz-appearance: none;
	height: 14px;
	border: 1px solid #686868;
	border-radius: 4px;
	padding: 1px 2px 1px 0;
	overflow: hidden;
	background-color: #fff;
	-webkit-box-shadow: inset 0 0 1px 0 #686868;
	-moz-box-shadow: inset 0 0 1px 0 #686868
}

progress,progress: not([value]){
	box-shadow: inset 0 0 1px 0 #686868
}

progress: not([value]){
	-moz-box-shadow: inset 0 0 1px 0 #686868;
	-webkit-box-shadow: inset 0 0 1px 0 #686868;
	height: 14px
}

progress[value]: :-webkit-progress-bar{
	background-color: transparent
}

progress[value]: :-webkit-progress-value{
	border-radius: 2px;
	background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}

progress[value]: :-moz-progress-bar{
	border-radius: 2px;
	background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}

progress: not([value]): :-webkit-progress-bar{
	width: 100%;
	background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
	animation: sliding 2s linear 0s infinite
}

progress: not([value]): :-webkit-progress-bar: not([value]){
	animation: sliding 2s linear 0s infinite;
	background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}

progress: not([value]){
	position: relative
}

progress: not([value]): before{
	box-sizing: border-box;
	content: "";
	position: absolute;
	top: 0;
	left: 0;
	width: 100%;
	height: 100%;
	background-color: #fff;
	-webkit-box-shadow: inset 0 0 1px 0 #686868;
	-moz-box-shadow: inset 0 0 1px 0 #686868
}

progress: not([value]): before,progress: not([value]): before: not([value]){
	box-shadow: inset 0 0 1px 0 #686868
}

progress: not([value]): before: not([value]){
	-moz-box-shadow: inset 0 0 1px 0 #686868;
	-webkit-box-shadow: inset 0 0 1px 0 #686868
}

progress: not([value]): after{
	box-sizing: border-box;
	content: "";
	position: absolute;
	top: 1px;
	left: 2px;
	width: 100%;
	height: calc(100% - 2px);
	padding: 1px 2px;
	border-radius: 2px;
	background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}

progress: not([value]): after,progress: not([value]): after: not([value]){
	animation: sliding 2s linear 0s infinite
}

progress: not([value]): after: not([value]){
	background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}

progress: not([value]): :-moz-progress-bar{
	width: 100%;
	background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
	animation: sliding 2s linear 0s infinite
}

progress: not([value]): :-moz-progress-bar: not([value]){
	animation: sliding 2s linear 0s infinite;
	background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}

progress:not([value])::-moz-progress-bar {
	width: 100%;
	background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
	animation: sliding 2s linear 0s infinite;
}
progress:not([value])::after {
	box-sizing: border-box;
	content: "";
	position: absolute;
	top: 1px;
	left: 2px;
	width: 100%;
	height: calc(100% - 2px);
	padding: 1px 2px;
	border-radius: 2px;
	background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
}
progress:not([value])::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;
}
Element {
}
progress:not([value]) {
	position: relative;
}
progress:not([value]) {
	-moz-box-shadow: inset 0 0 1px 0 #686868;
	-webkit-box-shadow: inset 0 0 1px 0 #686868;
	height: 14px;
}

		</style>
	</head>
	<body>
		<script>
			var log = console.log;
			var theme = 'light';

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

var result_names = [
    "RESULT"
];
var result_min_max = [
    "min"
];
var tab_results_headers_json = [
    "trial_index",
    "submit_time",
    "queue_time",
    "start_time",
    "end_time",
    "run_time",
    "program_string",
    "exit_code",
    "signal",
    "hostname",
    "OO_Info_SLURM_JOB_ID",
    "arm_name",
    "trial_status",
    "generation_node",
    "RESULT",
    "x"
];
var tab_results_csv_json = [
    [
        0,
        1752150846,
        4,
        1752150850,
        1752150856,
        6,
        "perl -e 'if (rand() >= 0.5) { exit 1 } else { print \"RESULT: 74.60605353116989135742\\n\"; exit 0 }'",
        0,
        "",
        "slurmnode2",
        650,
        "0_0",
        "COMPLETED",
        "SOBOL",
        74.60605353116989,
        74.60605353116989
    ],
    [
        1,
        1752150850,
        4,
        1752150854,
        1752150860,
        6,
        "perl -e 'if (rand() >= 0.5) { exit 1 } else { print \"RESULT: 919.77811045944690704346\\n\"; exit 0 }'",
        1,
        "",
        "slurmnode3",
        651,
        "1_0",
        "FAILED",
        "SOBOL",
        "",
        919.7781104594469
    ],
    [
        2,
        1752150853,
        4,
        1752150857,
        1752150863,
        6,
        "perl -e 'if (rand() >= 0.5) { exit 1 } else { print \"RESULT: 548.66822808980941772461\\n\"; exit 0 }'",
        1,
        "",
        "slurmnode4",
        652,
        "2_0",
        "FAILED",
        "SOBOL",
        "",
        548.6682280898094
    ],
    [
        3,
        1752150858,
        5,
        1752150863,
        1752150869,
        6,
        "perl -e 'if (rand() >= 0.5) { exit 1 } else { print \"RESULT: 453.52844521403312683105\\n\"; exit 0 }'",
        0,
        "",
        "slurmnode2",
        653,
        "3_0",
        "COMPLETED",
        "SOBOL",
        453.5284452140331,
        453.5284452140331
    ],
    [
        4,
        1752150863,
        5,
        1752150868,
        1752150874,
        6,
        "perl -e 'if (rand() >= 0.5) { exit 1 } else { print \"RESULT: 372.65787646174430847168\\n\"; exit 0 }'",
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    ],
    [
        1752151184,
        701.58984375,
        45.4
    ],
    [
        1752151184,
        701.58984375,
        100
    ],
    [
        1752151184,
        701.58984375,
        45.3
    ],
    [
        1752151184,
        701.58984375,
        45.3
    ],
    [
        1752151184,
        701.58984375,
        75
    ],
    [
        1752151184,
        701.58984375,
        45.3
    ],
    [
        1752151184,
        701.58984375,
        71.4
    ],
    [
        1752151184,
        701.58984375,
        60.9
    ],
    [
        1752151184,
        701.58984375,
        50.9
    ],
    [
        1752151184,
        701.71484375,
        45.3
    ],
    [
        1752151185,
        701.71484375,
        24.8
    ],
    [
        1752151192,
        705.46484375,
        45.3
    ],
    [
        1752151192,
        705.46484375,
        31
    ],
    [
        1752151192,
        705.46484375,
        80
    ],
    [
        1752151192,
        705.46484375,
        53
    ],
    [
        1752151209,
        706.68359375,
        46.2
    ],
    [
        1752151209,
        706.68359375,
        33.5
    ],
    [
        1752151621,
        738.578125,
        90
    ],
    [
        1752151622,
        738.578125,
        16.7
    ],
    [
        1752151622,
        738.578125,
        19.4
    ],
    [
        1752151623,
        738.828125,
        52.5
    ],
    [
        1752151623,
        738.828125,
        52.5
    ],
    [
        1752151623,
        738.828125,
        52.5
    ],
    [
        1752151624,
        738.828125,
        57.6
    ],
    [
        1752151624,
        738.828125,
        58.3
    ],
    [
        1752151624,
        738.828125,
        55.7
    ],
    [
        1752151624,
        738.828125,
        52.6
    ],
    [
        1752151624,
        738.828125,
        25
    ],
    [
        1752151636,
        747.453125,
        53.2
    ],
    [
        1752151636,
        747.453125,
        50.3
    ],
    [
        1752151636,
        747.453125,
        52.1
    ],
    [
        1752151636,
        747.453125,
        50.8
    ],
    [
        1752151671,
        750.8125,
        54.6
    ],
    [
        1752151671,
        750.8125,
        25.9
    ],
    [
        1752151949,
        757.421875,
        57.6
    ],
    [
        1752151949,
        757.421875,
        46.4
    ],
    [
        1752151949,
        757.421875,
        50
    ],
    [
        1752152210,
        756.9140625,
        56.5
    ],
    [
        1752152210,
        756.9140625,
        59.6
    ],
    [
        1752152436,
        757.6640625,
        56.9
    ],
    [
        1752152437,
        757.6640625,
        45.8
    ],
    [
        1752152665,
        759.0390625,
        50.8
    ],
    [
        1752152665,
        759.0390625,
        31.7
    ],
    [
        1752152919,
        778.2890625,
        58.7
    ],
    [
        1752152919,
        778.2890625,
        25
    ],
    [
        1752153240,
        778.5390625,
        59.8
    ],
    [
        1752153240,
        778.5390625,
        23
    ],
    [
        1752153453,
        778.5390625,
        46.4
    ],
    [
        1752153453,
        778.5390625,
        24.6
    ],
    [
        1752153634,
        778.6640625,
        33.7
    ],
    [
        1752153634,
        778.6640625,
        32
    ],
    [
        1752153838,
        779.0390625,
        35.4
    ],
    [
        1752153838,
        779.0390625,
        17.8
    ],
    [
        1752154036,
        779.4140625,
        34.2
    ],
    [
        1752154036,
        779.4140625,
        15.1
    ],
    [
        1752154232,
        780.0390625,
        33
    ],
    [
        1752154232,
        780.0390625,
        18.1
    ]
];
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 = [], reload = false) {
	try {
		if ($("#parallel-plot").data("loaded") === "true" && !reload) {
			return;
		}

		// Filter rows ohne leere Werte (wie in deinem Originalcode)
		dataArray = filterNonEmptyRows(dataArray);

		const ignoreSet = new Set(ignoreColumns);
		const numericalCols = [];
		const categoricalCols = [];
		const categoryMappings = {};
		const enable_slurm_id_if_exists = $("#enable_slurm_id_if_exists").is(":checked");

		// Spalten einteilen in numerisch oder kategorisch + category mappings aufbauen
		headers.forEach((header, colIndex) => {
			if (ignoreSet.has(header)) return;
			if (!enable_slurm_id_if_exists && header === "OO_Info_SLURM_JOB_ID") 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]));
			}
		});

		// Erzeuge UI für Checkboxen und Min/Max Inputs für numerische Spalten
		const controlContainerId = "parallel-plot-controls";
		let controlContainer = $("#" + controlContainerId);
		if (controlContainer.length === 0) {
			controlContainer = $('<div id="' + controlContainerId + '" style="margin-bottom:10px; display: flex;"></div>');
			$("#parallel-plot").before(controlContainer);
		} else {
			controlContainer.empty();
		}

		// Map um Checkbox-Zustände und Min/Max-Werte zu speichern
		const columnVisibility = {};
		const minMaxLimits = {};

		// Checkboxen + Min/Max Felder generieren mit Boxen, max-Breite, Umbruch und Zeilenumbruch nach jeder Box
		headers.forEach((header) => {
			try {
				if (ignoreSet.has(header)) return;
				if (!enable_slurm_id_if_exists && header === "OO_Info_SLURM_JOB_ID") return;

				const isNumerical = numericalCols.some(col => col.name === header);

				const checkboxId = `chk_${header}`;
				const minInputId = `min_${header}`;
				const maxInputId = `max_${header}`;

				columnVisibility[header] = true;
				minMaxLimits[header] = { min: null, max: null };

				// Wrapper Box mit max-Breite, Umbruch, Block-Level-Element für newline nach jeder Box
				const boxWrapper = $('<div></div>').css({
					border: "1px solid #ddd",
					borderRadius: "8px",
					padding: "12px 16px",
					marginBottom: "12px",
					boxShadow: "0 2px 6px rgba(0,0,0,0.1)",
					backgroundColor: "#fff",
					display: "flex",
					flexWrap: "wrap",
					alignItems: "center",
					gap: "15px",
					maxWidth: "350px",
					width: "100%", // damit bei kleinen Screens die Box maximal voll breit ist
					boxSizing: "border-box"
				});

				// Innerer Container mit Flexbox für Ausrichtung der Elemente, flex-grow damit Inputs genug Platz bekommen
				const container = $('<div></div>').css({
					display: "flex",
					alignItems: "center",
					gap: "10px",
					flexWrap: "wrap",
					flexGrow: 1,
					minWidth: "0" // wichtig für flexbox Overflow Handling
				});

				// Checkbox mit Label
				const checkbox = $(`<input type="checkbox" id="${checkboxId}" checked />`);
				const label = $(`<label for="${checkboxId}" style="font-weight: 600; min-width: 140px; cursor: pointer; white-space: nowrap;">${header}</label>`);

				container.append(checkbox).append(label);

				if (isNumerical) {
					// Werte ermitteln (nur gültige Zahlen)
					const numericValues = dataArray
						.map(row => parseFloat(row[headers.indexOf(header)]))
						.filter(val => !isNaN(val));

					const minVal = numericValues.length > 0 ? Math.min(...numericValues) : 0;
					const maxVal = numericValues.length > 0 ? Math.max(...numericValues) : 100;

					// Min Input mit Label
					const minWrapper = $('<div></div>').css({
						display: "flex",
						flexDirection: "column",
						alignItems: "flex-start",
						minWidth: "90px"
					});
					const minLabel = $('<label></label>').attr("for", minInputId).text("Min").css({
						fontSize: "0.75rem",
						color: "#555",
						marginBottom: "2px"
					});
					const minInput = $(`<input type="number" id="${minInputId}" placeholder="min" />`).css({
						width: "80px",
						padding: "5px 8px",
						borderRadius: "5px",
						border: "1px solid #ccc",
						boxShadow: "inset 0 1px 3px rgba(0,0,0,0.1)",
						transition: "border-color 0.3s ease"
					});
					minInput.attr("min", minVal);
					minInput.attr("max", maxVal);

					minInput.on("focus", function () {
						$(this).css("border-color", "#007BFF");
					});
					minInput.on("blur", function () {
						$(this).css("border-color", "#ccc");
					});

					minWrapper.append(minLabel).append(minInput);

					// Max Input mit Label
					const maxWrapper = $('<div></div>').css({
						display: "flex",
						flexDirection: "column",
						alignItems: "flex-start",
						minWidth: "90px"
					});
					const maxLabel = $('<label></label>').attr("for", maxInputId).text("Max").css({
						fontSize: "0.75rem",
						color: "#555",
						marginBottom: "2px"
					});
					const maxInput = $(`<input type="number" id="${maxInputId}" placeholder="max" />`).css({
						width: "80px",
						padding: "5px 8px",
						borderRadius: "5px",
						border: "1px solid #ccc",
						boxShadow: "inset 0 1px 3px rgba(0,0,0,0.1)",
						transition: "border-color 0.3s ease"
					});
					maxInput.attr("min", minVal);
					maxInput.attr("max", maxVal);

					maxInput.on("focus", function () {
						$(this).css("border-color", "#007BFF");
					});
					maxInput.on("blur", function () {
						$(this).css("border-color", "#ccc");
					});

					maxWrapper.append(maxLabel).append(maxInput);

					// Events für min/max Eingaben
					minInput.on("input", function () {
						const val = parseFloat($(this).val());
						minMaxLimits[header].min = isNaN(val) ? null : val;
						updatePlot();
					});

					maxInput.on("input", function () {
						const val = parseFloat($(this).val());
						minMaxLimits[header].max = isNaN(val) ? null : val;
						updatePlot();
					});

					container.append(minWrapper).append(maxWrapper);
				}

				// Checkbox Change Event
				checkbox.on("change", function () {
					columnVisibility[header] = $(this).is(":checked");
					updatePlot();
				});

				boxWrapper.append(container);

				// Jede Box bekommt ihren eigenen Block (also newline)
				controlContainer.append(boxWrapper);
			} catch (error) {
				console.error(`Fehler bei Header '${header}':`, error);
			}
		});



		// Erzeuge Ergebnis-Auswahl für Farbskala (color by result)
		const resultSelectId = "result-select";
		let resultSelect = $(`#${resultSelectId}`);
		if (resultSelect.length === 0) {
			resultSelect = $(`<select id="${resultSelectId}"></select>`);
			controlContainer.before(resultSelect);
		} else {
			resultSelect.empty();
		}

		resultSelect.append('<option value="none">No color</option>');

		for (let i = 0; i < resultNames.length; i++) {
			let minMaxInfo = "min [auto]";
			if (typeof result_min_max !== "undefined" && result_min_max[i] !== undefined) {
				minMaxInfo = result_min_max[i];
			}
			resultSelect.append(`<option value="${resultNames[i]}">${resultNames[i]} (${minMaxInfo})</option>`);
		}

		let colorValues = null;
		let colorScale = null;

		resultSelect.off("change").on("change", function () {
			const selectedResult = $(this).val();
			if (selectedResult === "none") {
				colorValues = null;
				colorScale = null;
			} else {
				const col = numericalCols.find(c => c.name.toLowerCase() === selectedResult.toLowerCase());
				if (!col) {
					colorValues = null;
					colorScale = null;
					updatePlot();
					return;
				}
				colorValues = dataArray.map(row => parseFloat(row[col.index]));

				let invertColor = false;
				if (typeof result_min_max !== "undefined") {
					const idx = resultNames.indexOf(selectedResult);
					if (idx !== -1) {
						invertColor = result_min_max[idx] === "max";
					}
				}

				colorScale = invertColor
					? [[0, 'red'], [1, 'green']]
					: [[0, 'green'], [1, 'red']];
			}
			updatePlot();
		});

		// Initial Auswahl: kein Farbwert, oder erstes Ergebnis falls nur eins
		if (resultNames.length === 1) {
			resultSelect.val(resultNames[0]).trigger("change");
		} else {
			resultSelect.val("none").trigger("change");
		}

		function updatePlot() {
			try {
				// Filter Spalten nach Checkboxen
				const filteredNumericalCols = numericalCols.filter(col => columnVisibility[col.name]);
				const filteredCategoricalCols = categoricalCols.filter(col => columnVisibility[col.name]);

				// Filtere die Datenzeilen, um nur die zu behalten, die innerhalb aller gesetzten Min/Max Limits liegen
				const filteredData = dataArray.filter(row => {
					for (let col of filteredNumericalCols) {
						const val = parseFloat(row[col.index]);
						if (isNaN(val)) return false; // ungültiger Wert raus

						const limits = minMaxLimits[col.name];
						if (limits.min !== null && val < limits.min) return false;
						if (limits.max !== null && val > limits.max) return false;
					}
					// Kategorische Werte ignorieren Filter (könntest hier evtl. erweitern)
					return true;
				});

				const dimensions = [];

				// Füge numerische Dimensionen hinzu mit Min/Max Limits (Range anhand gefilterter Daten)
				filteredNumericalCols.forEach(col => {
					let vals = filteredData.map(row => parseFloat(row[col.index]));

					// Fallback falls alle Werte NaN (sollte eigentlich nicht vorkommen)
					const realMin = vals.length > 0 ? Math.min(...vals) : 0;
					const realMax = vals.length > 0 ? Math.max(...vals) : 100;

					dimensions.push({
						label: col.name,
						values: vals,
						range: [realMin, realMax]
					});
				});

				// Kategorische Dimensionen (aus gefilterten Daten)
				filteredCategoricalCols.forEach(col => {
					const vals = filteredData.map(row => categoryMappings[col.name][row[col.index]]);
					dimensions.push({
						label: col.name,
						values: vals,
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});

				// Linienfarbe bestimmen, falls Farbskala gesetzt ist
				let filteredColorValues = null;
				if (colorValues) {
					// Da colorValues für alle Daten sind, filtere sie auch entsprechend
					filteredColorValues = filteredData.map(row => {
						const col = numericalCols.find(c => c.name.toLowerCase() === resultSelect.val().toLowerCase());
						return col ? parseFloat(row[col.index]) : null;
					});
				}

				const trace = {
					type: 'parcoords',
					dimensions: dimensions,
					line: filteredColorValues ? { color: filteredColorValues, 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();
			} catch (error) {
				console.error("Fehler in updatePlot():", error);
			}
		}


		updatePlot();

		$("#parallel-plot").data("loaded", "true");

		make_text_in_parallel_plot_nicer();

	} catch (err) {
		console.error("Error in createParallelPlot:", err);
	}
}

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) &&
			!col.startsWith("OO_Info") &&
			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) &&
			!col.startsWith("OO_Info") &&
			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) &&
		!col.startsWith("OO_Info") &&
		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;
		}
		if (!col.startsWith("OO_Info")) {
			return true;
		}
		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) &&
		!col.startsWith("OO_Info") &&
		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) &&
		!col.startsWith("OO_Info") &&
		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_results_csv_json.map(row => row[tab_results_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("CANDIDATE") ? "lightblue" :
			el.textContent.includes("ABANDONED") ? "yellow" : "";
		if (color) el.style.backgroundColor = color;
		el.classList.add("invert_in_dark_mode");
	});
}

function _colorize_table_entries_by_queue_time() {
	let cells = [...document.querySelectorAll('[data-column-id="queue_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_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_queue_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();
	if (typeof apply_theme_based_on_system_preferences === 'function') {
		apply_theme_based_on_system_preferences();
	}
}

function plotTimelineFromGlobals() {
	if (
		typeof tab_results_headers_json === "undefined" ||
		typeof tab_results_csv_json === "undefined" ||
		!Array.isArray(tab_results_headers_json) ||
		!Array.isArray(tab_results_csv_json)
	) {
		console.warn("Global variables 'tab_results_headers_json' or 'tab_results_csv_json' missing or invalid.");
		return null;
	}

	const headers = tab_results_headers_json;
	const data = tab_results_csv_json;

	const col = name => headers.indexOf(name);
	const ix_trial_index = col("trial_index");
	const ix_start_time = col("start_time");
	const ix_end_time = col("end_time");
	const ix_status = col("trial_status");

	if ([ix_trial_index, ix_start_time, ix_end_time, ix_status].some(ix => ix === -1)) {
		console.warn("One or more needed columns missing");
		return null;
	}

	const traces = [];

	// Add dummy traces for legend
	traces.push({
		type: "scatter",
		mode: "lines",
		x: [null, null],
		y: [null, null],
		line: { color: "green", width: 4 },
		name: "COMPLETED",
		showlegend: true,
		hoverinfo: "none"
	});
	traces.push({
		type: "scatter",
		mode: "lines",
		x: [null, null],
		y: [null, null],
		line: { color: "yellow", width: 4 },
		name: "RUNNING",
		showlegend: true,
		hoverinfo: "none"
	});
	traces.push({
		type: "scatter",
		mode: "lines",
		x: [null, null],
		y: [null, null],
		line: { color: "red", width: 4 },
		name: "FAILED/OTHER",
		showlegend: true,
		hoverinfo: "none"
	});

	for (const row of data) {
		const trial_index = row[ix_trial_index];
		const start = row[ix_start_time];
		const end = row[ix_end_time];
		const status = row[ix_status];

		if (
			trial_index === "" || start === "" || end === "" ||
			isNaN(start) || isNaN(end)
		) continue;

		let color = "red"; // default
		if (status === "COMPLETED") color = "green";
		else if (status === "RUNNING") color = "yellow";

		traces.push({
			type: "scatter",
			mode: "lines",
			x: [new Date(start * 1000), new Date(end * 1000)],
			y: [trial_index, trial_index],
			line: { color: color, width: 4 },
			name: `Trial ${trial_index} (${status})`,
			showlegend: false,
			hoverinfo: "x+y+name"
		});
	}

	if (traces.length <= 3) { // only dummy traces added
		console.warn("No valid data for plotting found.");
		return null;
	}

	const layout = {
		title: "Trial Timeline",
		xaxis: {
			title: "Time",
			type: "date"
		},
		yaxis: {
			title: "Trial Index",
			autorange: "reversed"
		},
		margin: { t: 50 }
	};

	Plotly.newPlot('plot_timeline', traces, add_default_layout_data(layout));
	return true;
}

function createResultParameterCanvases(this_res_name) {
	if (
		typeof special_col_names === "undefined" ||
		typeof result_names === "undefined" ||
		typeof result_min_max === "undefined" ||
		typeof tab_results_headers_json === "undefined" ||
		typeof tab_results_csv_json === "undefined"
	) {
		console.error("Missing one or more required global variables.");
		return null;
	}

	if (
		!Array.isArray(special_col_names) ||
		!Array.isArray(result_names) ||
		!Array.isArray(result_min_max) ||
		!Array.isArray(tab_results_headers_json) ||
		!Array.isArray(tab_results_csv_json)
	) {
		console.error("All inputs must be arrays.");
		return null;
	}

	function getColumnIndexMap(headers) {
		var map = {};
		for (var i = 0; i < headers.length; i++) {
			map[headers[i]] = i;
		}
		return map;
	}

	function getColumnData(data, index) {
		var result = [];
		for (var i = 0; i < data.length; i++) {
			result.push(data[i][index]);
		}
		return result;
	}

	function normalize(value, min, max) {
		if (max === min) {
			return 0.5;
		}
		return (value - min) / (max - min);
	}

	function interpolateColor(ratio, reverse) {
		var r = reverse ? ratio : 1 - ratio;
		var g = reverse ? 1 - ratio : ratio;
		var b = 0;
		r = Math.floor(r * 255);
		g = Math.floor(g * 255);
		return "rgb(" + r + "," + g + "," + b + ")";
	}

	function createCanvas(width, height) {
		var canvas = document.createElement("canvas");
		canvas.width = width;
		canvas.height = height;
		return canvas;
	}

	function isNumericArray(arr) {
		for (var i = 0; i < arr.length; i++) {
			var val = arr[i];
			if (typeof val !== "number" || isNaN(val)) {
				return false;
			}
		}
		return true;
	}

	function findBestRowIndex() {
		var bestIndex = 0;

		for (var i = 1; i < tab_results_csv_json.length; i++) {
			var better = false;

			for (var r = 0; r < result_names.length; r++) {
				var col = result_names[r];
				var colIdx = header_map[col];
				var goal = result_min_max[r]; // "min" or "max"

				var valCurrent = tab_results_csv_json[i][colIdx];
				var valBest = tab_results_csv_json[bestIndex][colIdx];

				if (goal === "min" && valCurrent < valBest) {
					better = true;
					break;
				}

				if (goal === "max" && valCurrent > valBest) {
					better = true;
					break;
				}
			}

			if (better) {
				bestIndex = i;
			}
		}

		return bestIndex;
	}

	var canvas_width = 1000;
	var canvas_height = 100;

	var header_map = getColumnIndexMap(tab_results_headers_json);

	var parameter_columns = tab_results_headers_json.filter(function (name) {
		return (
			!special_col_names.includes(name) &&
			!result_names.includes(name) &&
			!name.startsWith("OO_Info_")
		);
	});

	var container = document.createElement("div");

	for (var r = 0; r < result_names.length; r++) {
		var result_name = result_names[r];
		if (this_res_name == result_name) {
			var result_index = header_map[result_name];
			var result_goal = result_min_max[r]; // "min" or "max"

			var result_values = getColumnData(tab_results_csv_json, result_index);
			var result_min = Math.min.apply(null, result_values);
			var result_max = Math.max.apply(null, result_values);

			var heading = document.createElement("h2");
			heading.textContent = "Interpretation for result: " + result_name + " (goal: " + result_goal + ")";
			heading.style.fontFamily = "sans-serif";
			heading.style.marginTop = "24px";
			heading.style.marginBottom = "12px";
			container.appendChild(heading);

			var table = document.createElement("table");
			table.style.borderCollapse = "collapse";
			table.style.marginBottom = "32px";

			var thead = document.createElement("thead");
			var headRow = document.createElement("tr");

			var th1 = document.createElement("th");
			th1.textContent = "Parameter";
			th1.style.textAlign = "left";
			th1.style.padding = "6px 12px";
			var th2 = document.createElement("th");
			th2.textContent = "Distribution of result";
			th2.style.textAlign = "left";
			th2.style.padding = "6px 12px";

			headRow.appendChild(th1);
			headRow.appendChild(th2);
			thead.appendChild(headRow);
			table.appendChild(thead);

			var tbody = document.createElement("tbody");

			for (var p = 0; p < parameter_columns.length; p++) {
				var param_name = parameter_columns[p];
				var param_index = header_map[param_name];
				var param_values = getColumnData(tab_results_csv_json, param_index);

				if (!isNumericArray(param_values)) {
					continue;
				}

				var param_min = Math.min.apply(null, param_values);
				var param_max = Math.max.apply(null, param_values);

				var canvas = createCanvas(canvas_width, canvas_height);

				canvas.classList.add("invert_in_dark_mode");

				var ctx = canvas.getContext("2d");

				ctx.fillStyle = "white";
				ctx.fillRect(0, 0, canvas.width, canvas.height);

				var x_groups = {};

				for (var i = 0; i < tab_results_csv_json.length; i++) {
					var raw_param = tab_results_csv_json[i][param_index];
					var raw_result = tab_results_csv_json[i][result_index];

					var x_ratio = normalize(raw_param, param_min, param_max);
					var x = Math.floor(x_ratio * (canvas_width - 1));

					if (!x_groups[x]) {
						x_groups[x] = [];
					}

					x_groups[x].push(raw_result);
				}

				for (var x in x_groups) {
					var values = x_groups[x];
					values.sort(function (a, b) {
						return a - b;
					});

					var stripe_height = canvas_height / values.length;
					for (var i = 0; i < values.length; i++) {
						var y_start = i * stripe_height;
						var y_end = (i + 1) * stripe_height;

						var value = values[i];
						var result_ratio = normalize(value, result_min, result_max);
						var color = interpolateColor(result_ratio, result_goal === "min");

						ctx.beginPath();
						ctx.strokeStyle = color;
						ctx.lineWidth = 1;
						ctx.moveTo(Number(x) + 0.5, y_start);
						ctx.lineTo(Number(x) + 0.5, y_end);
						ctx.stroke();
					}
				}

				var row = document.createElement("tr");

				var cell_param = document.createElement("td");
				cell_param.textContent = param_name;
				cell_param.style.padding = "4px 12px";
				cell_param.style.verticalAlign = "top";
				cell_param.style.fontFamily = "monospace";
				cell_param.style.whiteSpace = "nowrap";

				var cell_canvas = document.createElement("td");
				cell_canvas.appendChild(canvas);
				cell_canvas.style.padding = "4px 12px";

				row.appendChild(cell_param);
				row.appendChild(cell_canvas);
				tbody.appendChild(row);
			}

			table.appendChild(tbody);
			container.appendChild(table);
		}
	}

	// === Summary: Best result ===
	var bestIndex = findBestRowIndex();
	var bestRow = tab_results_csv_json[bestIndex];

	var ul = document.createElement("ul");
	ul.style.margin = "0";
	ul.style.paddingLeft = "24px";

	// Alle Result-Spalten
	for (var i = 0; i < result_names.length; i++) {
		var name = result_names[i];
		var val = bestRow[header_map[name]];
		var li = document.createElement("li");
		li.textContent = name + " = " + val;
		ul.appendChild(li);
	}

	// Alle Parameter-Spalten (außer special_col_names)
	for (var i = 0; i < tab_results_headers_json.length; i++) {
		var name = tab_results_headers_json[i];
		if (special_col_names.includes(name) || name.startsWith("OO_Info_") || result_names.includes(name)) {
			continue;
		}

		var val = bestRow[header_map[name]];
		var li = document.createElement("li");
		li.textContent = name + " = " + val;
		ul.appendChild(li);
	}

	return container;
}

function initializeResultParameterVisualizations() {
        try {
                var elements = $('.result_parameter_visualization');

                if (!elements || elements.length === 0) {
                        console.warn('No .result_parameter_visualization elements found.');
                        return;
                }

                elements.each(function () {
                        var element = $(this);

                        if (element.data('initialized')) {
                                return; // Already initialized, skip
                        }

                        var resname = element.attr('data-resname');

                        if (!resname) {
                                console.error('Missing data-resname attribute for element:', this);
                                return;
                        }

                        try {
                                var html = createResultParameterCanvases(resname);

                                element.html(html);
                                element.data('initialized', true);

                        } catch (err) {
                                console.error('Error while calling createResultParameterCanvases for resname:', resname, err);
                        }
                });
        } catch (outerErr) {
                console.error('Failed to initialize result parameter visualizations:', outerErr);
        }
}

function plotParameterDistributionsByStatus() {
	const container = document.getElementById('parameter_by_status_distribution');
	if (!container) {
		console.error("Kein Container mit id 'parameter_by_status_distribution' gefunden.");
		return null;
	}

	if ($(container).data("loaded") === "true") {
		return;
	}

	if (
		typeof special_col_names === "undefined" ||
		typeof result_names === "undefined" ||
		typeof result_min_max === "undefined" ||
		typeof tab_results_headers_json === "undefined" ||
		typeof tab_results_csv_json === "undefined"
	) {
		console.error("Missing one or more required global variables.");
		return null;
	}

	if (
		!Array.isArray(special_col_names) ||
		!Array.isArray(result_names) ||
		!Array.isArray(result_min_max) ||
		!Array.isArray(tab_results_headers_json) ||
		!Array.isArray(tab_results_csv_json)
	) {
		console.error("All inputs must be arrays.");
		return null;
	}

	container.innerHTML = "";

	const statusIndex = tab_results_headers_json.indexOf("trial_status");
	if (statusIndex < 0) {
		container.textContent = "Kein 'trial_status' in den Daten gefunden.";
		return null;
	}

	const trialStatuses = [...new Set(tab_results_csv_json.map(row => row[statusIndex]))].filter(s => s != null);
	const paramCols = tab_results_headers_json.filter(col =>
		!special_col_names.includes(col) &&
		!result_names.includes(col)
	);

	for (const param of paramCols) {
		const paramIndex = tab_results_headers_json.indexOf(param);
		if (paramIndex < 0) continue;

		const traces = [];

		trialStatuses.forEach((status) => {
			const filteredValues = tab_results_csv_json
				.filter(row => row[statusIndex] === status)
				.map(row => row[paramIndex])
				.filter(val => val !== "" && val != null && !isNaN(val))
				.map(Number);

			if (filteredValues.length > 1) {
				// Histogramm-Bins automatisch mit Plotly bestimmen lassen oder eigene
				// Hier: bins in 20 Stück
				const nbins = 20;
				traces.push({
					type: 'histogram',
					x: filteredValues,
					name: status,
					opacity: 0.6,
					xbingroup: 0,
					marker: {color: getColorForStatus(status)},
					nbinsx: nbins,
					// für Overlay-Stil:
					// histfunc: 'count', // default
					// autobinx: false,
					// xbins: {start: Math.min(...filteredValues), end: Math.max(...filteredValues), size: (Math.max(...filteredValues) - Math.min(...filteredValues)) / nbins}
				});
			}
		});

		if (traces.length > 0) {
			const h2 = document.createElement('h2');
			if(!param.startsWith("OO_Info_")) {
				h2.textContent = `Histogram: ${param}`;
				container.appendChild(h2);

				const plotDiv = document.createElement('div');
				plotDiv.style.marginBottom = '30px';
				container.appendChild(plotDiv);

				Plotly.newPlot(plotDiv, traces, {
					barmode: 'overlay',  // 'stack' oder 'overlay'
					xaxis: {
						title: { text: String(param) },  // Sicherstellen, dass es ein Textobjekt ist
						automargin: true,
						tickangle: -45,                  // Optional: bessere Lesbarkeit
						titlefont: { size: 16 }          // Optional: größerer Titel
					},
					yaxis: {
						title: { text: 'Count' },        // Titel explizit als Objekt angeben
						automargin: true,
						titlefont: { size: 16 }          // Optional: größerer Titel
					},
					margin: {
						l: 60,
						r: 30,
						t: 30,
						b: 80                            // genug Platz für x-Achsentitel
					},
					legend: {
						orientation: "h"
					}
				}, {
					responsive: true
				});

			}
		}
	}

	$(container).data("loaded", "true");

	// Color mapping (falls nicht global)
	function getColorForStatus(status) {
		const baseAlpha = 0.5;
		switch(status.toUpperCase()) {
			case 'FAILED':      return `rgba(214, 39, 40, ${baseAlpha})`;
			case 'COMPLETED':   return `rgba(44, 160, 44, ${baseAlpha})`;
			case 'ABANDONED':   return `rgba(255, 215, 0, ${baseAlpha})`;
			case 'RUNNING':     return `rgba(50, 50, 44, ${baseAlpha})`;
			default:
				const otherColors = [
					`rgba(31, 119, 180, ${baseAlpha})`,
					`rgba(255, 127, 14, ${baseAlpha})`,
					`rgba(148, 103, 189, ${baseAlpha})`,
					`rgba(140, 86, 75, ${baseAlpha})`,
					`rgba(227, 119, 194, ${baseAlpha})`,
					`rgba(127, 127, 127, ${baseAlpha})`,
					`rgba(188, 189, 34, ${baseAlpha})`,
					`rgba(23, 190, 207, ${baseAlpha})`
				];
				let hash = 0;
				for (let i = 0; i < status.length; i++) {
					hash = status.charCodeAt(i) + ((hash << 5) - hash);
				}
				const index = Math.abs(hash) % otherColors.length;
				return otherColors[index];
		}
	}

	resizePlotlyCharts();
}

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);

	if (typeof apply_theme_based_on_system_preferences === 'function') {
		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();;
plotParameterDistributionsByStatus();;
plotTimelineFromGlobals();;
initializeResultParameterVisualizations();
createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names);;
plotResultsDistributionByGenerationMethod();;
plotJobStatusDistribution();;
plotResultEvolution();;
plotExitCodesPieChart();

				colorize_table_entries();
			});
		</script>

		<h1><img class='invert_icon' src='i/overview.svg' style='height: 1em' />&nbsp;Overview</h1>
<h2>Experiment overview               </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value           </th></tr></thead><tbody><tr><td> Model for non-random steps</td><td>BOTORCH_MODULAR </td></tr><tr><td> Max. nr. evaluations</td><td>45              </td></tr><tr><td> Number random steps</td><td>15              </td></tr><tr><td> Nr. of workers (parameter)</td><td>15              </td></tr><tr><td> Main process memory (GB)</td><td>8               </td></tr><tr><td> Worker memory (GB)</td><td>1               </td></tr></tbody></table><h2>Job Summary per Generation Node</h2>
<table border='1' cellpadding='5' cellspacing='0'>
<thead><tr><th>Generation Node</th><th>Total</th><th>COMPLETED</th><th>FAILED</th><th>RUNNING</th></tr></thead>
<tbody>
<tr><td>SOBOL</td><td>30</td><td>16</td><td>14</td><td>0</td></tr>
<tr><td>BOTORCH_MODULAR</td><td>187</td><td>9</td><td>6</td><td>172</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> x</td><td>range</td><td>0</td><td>1000</td><td>float</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>20</td>
<td>25</td>
<td>172</td>
<td>217</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>2025-07-10 13:32:52: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #8/15</tt><br>
<h2>Git-Version</h2>
<tt>Commit: aa80ba9457f59535be9e3063fed361eefa7dd0d2 (7537-8-gaa80ba945)
</tt>
<h1><img class='invert_icon' src='i/csv.svg' style='height: 1em' />&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")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'><img src='i/download.svg' style='height: 1em'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,submit_time,queue_time,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_SLURM_JOB_ID,arm_name,trial_status,generation_node,RESULT,x
0,1752150846,4,1752150850,1752150856,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 74.60605353116989135742\n&quot;; exit 0 }&#039;,0,,slurmnode2,650,0_0,COMPLETED,SOBOL,74.606053531169891357421875,74.606053531169891357421875
1,1752150850,4,1752150854,1752150860,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 919.77811045944690704346\n&quot;; exit 0 }&#039;,1,,slurmnode3,651,1_0,FAILED,SOBOL,,919.77811045944690704345703125
2,1752150853,4,1752150857,1752150863,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 548.66822808980941772461\n&quot;; exit 0 }&#039;,1,,slurmnode4,652,2_0,FAILED,SOBOL,,548.668228089809417724609375
3,1752150858,5,1752150863,1752150869,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 453.52844521403312683105\n&quot;; exit 0 }&#039;,0,,slurmnode2,653,3_0,COMPLETED,SOBOL,453.5284452140331268310546875,453.5284452140331268310546875
4,1752150863,5,1752150868,1752150874,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 372.65787646174430847168\n&quot;; exit 0 }&#039;,1,,slurmnode3,654,4_0,FAILED,SOBOL,,372.6578764617443084716796875
5,1752150868,5,1752150873,1752150879,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 652.48801559209823608398\n&quot;; exit 0 }&#039;,0,,slurmnode2,655,5_0,COMPLETED,SOBOL,652.488015592098236083984375,652.488015592098236083984375
6,1752150873,4,1752150877,1752150883,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 750.15860982239246368408\n&quot;; exit 0 }&#039;,0,,slurmnode4,656,6_0,COMPLETED,SOBOL,750.15860982239246368408203125,750.15860982239246368408203125
7,1752150878,4,1752150882,1752150888,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 220.29977105557918548584\n&quot;; exit 0 }&#039;,0,,slurmnode3,657,7_0,COMPLETED,SOBOL,220.29977105557918548583984375,220.29977105557918548583984375
8,1752150884,4,1752150888,1752150894,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 175.62617734074592590332\n&quot;; exit 0 }&#039;,1,,slurmnode2,658,8_0,FAILED,SOBOL,,175.6261773407459259033203125
9,1752150891,5,1752150896,1752150902,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 830.47696948051452636719\n&quot;; exit 0 }&#039;,0,,slurmnode3,659,9_0,COMPLETED,SOBOL,830.4769694805145263671875,830.4769694805145263671875
10,1752150897,6,1752150903,1752150909,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 701.556378975510597229\n&quot;; exit 0 }&#039;,0,,slurmnode2,660,10_0,COMPLETED,SOBOL,701.55637897551059722900390625,701.55637897551059722900390625
11,1752150902,7,1752150909,1752150915,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 296.73428647220134735107\n&quot;; exit 0 }&#039;,0,,slurmnode3,661,11_0,COMPLETED,SOBOL,296.73428647220134735107421875,296.73428647220134735107421875
12,1752150909,4,1752150913,1752150919,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 377.10894457995891571045\n&quot;; exit 0 }&#039;,1,,slurmnode2,662,12_0,FAILED,SOBOL,,377.10894457995891571044921875
13,1752150915,4,1752150919,1752150925,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 597.25593961775302886963\n&quot;; exit 0 }&#039;,1,,slurmnode4,663,13_0,FAILED,SOBOL,,597.25593961775302886962890625
14,1752150921,5,1752150926,1752150932,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 999.61581826210021972656\n&quot;; exit 0 }&#039;,1,,slurmnode2,664,14_0,FAILED,SOBOL,,999.6158182621002197265625
15,1752151061,3,1752151064,1752151070,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 29.43654730916023254395\n&quot;; exit 0 }&#039;,0,,slurmnode2,665,15_0,COMPLETED,SOBOL,29.4365473091602325439453125,29.4365473091602325439453125
16,1752151068,4,1752151072,1752151078,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 45.6983651965856552124\n&quot;; exit 0 }&#039;,1,,slurmnode3,666,16_0,FAILED,SOBOL,,45.69836519658565521240234375
17,1752151075,5,1752151080,1752151086,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 952.59228534996509552002\n&quot;; exit 0 }&#039;,1,,slurmnode2,667,17_0,FAILED,SOBOL,,952.59228534996509552001953125
18,1752151081,4,1752151085,1752151091,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 581.51292055845260620117\n&quot;; exit 0 }&#039;,1,,slurmnode3,668,18_0,FAILED,SOBOL,,581.512920558452606201171875
19,1752151089,4,1752151093,1752151099,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 424.59024116396903991699\n&quot;; exit 0 }&#039;,0,,slurmnode2,669,19_0,COMPLETED,SOBOL,424.5902411639690399169921875,424.5902411639690399169921875
20,1752151097,4,1752151101,1752151107,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 280.47199174761772155762\n&quot;; exit 0 }&#039;,1,,slurmnode3,670,20_0,FAILED,SOBOL,,280.4719917476177215576171875
21,1752151104,5,1752151109,1752151115,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 748.58038872480392456055\n&quot;; exit 0 }&#039;,1,,slurmnode2,671,21_0,FAILED,SOBOL,,748.580388724803924560546875
22,1752151113,4,1752151117,1752151123,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 846.22046537697315216064\n&quot;; exit 0 }&#039;,1,,slurmnode3,672,22_0,FAILED,SOBOL,,846.22046537697315216064453125
23,1752151121,4,1752151125,1752151131,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 128.14440391957759857178\n&quot;; exit 0 }&#039;,0,,slurmnode2,673,23_0,COMPLETED,SOBOL,128.14440391957759857177734375,128.14440391957759857177734375
24,1752151129,6,1752151135,1752151141,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 204.56438139081001281738\n&quot;; exit 0 }&#039;,0,,slurmnode3,674,24_0,COMPLETED,SOBOL,204.5643813908100128173828125,204.5643813908100128173828125
25,1752151139,4,1752151143,1752151149,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 797.63227701187133789062\n&quot;; exit 0 }&#039;,0,,slurmnode2,675,25_0,COMPLETED,SOBOL,797.632277011871337890625,797.632277011871337890625
26,1752151147,4,1752151151,1752151157,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 668.74220408499240875244\n&quot;; exit 0 }&#039;,0,,slurmnode3,676,26_0,COMPLETED,SOBOL,668.74220408499240875244140625,668.74220408499240875244140625
27,1752151154,4,1752151158,1752151164,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 325.64197294414043426514\n&quot;; exit 0 }&#039;,0,,slurmnode2,677,27_0,COMPLETED,SOBOL,325.64197294414043426513671875,325.64197294414043426513671875
28,1752151159,5,1752151164,1752151170,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 469.26431171596050262451\n&quot;; exit 0 }&#039;,0,,slurmnode3,678,28_0,COMPLETED,SOBOL,469.26431171596050262451171875,469.26431171596050262451171875
29,1752151167,4,1752151171,1752151177,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 501.19408406317234039307\n&quot;; exit 0 }&#039;,1,,slurmnode2,679,29_0,FAILED,SOBOL,,501.19408406317234039306640625
30,1752151463,3,1752151466,1752151472,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0\n&quot;; exit 0 }&#039;,1,,slurmnode2,680,30_0,FAILED,BOTORCH_MODULAR,,0
31,1752151469,4,1752151473,1752151479,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0\n&quot;; exit 0 }&#039;,1,,slurmnode3,681,30_0,FAILED,BOTORCH_MODULAR,,0
32,1752151478,4,1752151482,1752151488,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0.00000000000011368684\n&quot;; exit 0 }&#039;,0,,slurmnode2,682,32_0,COMPLETED,BOTORCH_MODULAR,0.000000000000113686840000000007,0.00000000000011368683772161603
33,1752151487,5,1752151492,1752151498,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0.00000000000005684342\n&quot;; exit 0 }&#039;,0,,slurmnode3,683,33_0,COMPLETED,BOTORCH_MODULAR,0.000000000000056843420000000003,0.000000000000056843418860808015
34,1752151496,4,1752151500,1752151506,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0\n&quot;; exit 0 }&#039;,1,,slurmnode2,684,30_0,FAILED,BOTORCH_MODULAR,,0
35,1752151506,4,1752151510,1752151516,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0\n&quot;; exit 0 }&#039;,0,,slurmnode3,685,30_0,COMPLETED,BOTORCH_MODULAR,0,0
36,1752151515,4,1752151519,1752151525,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0\n&quot;; exit 0 }&#039;,1,,slurmnode2,686,30_0,FAILED,BOTORCH_MODULAR,,0
37,1752151524,5,1752151529,1752151535,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0\n&quot;; exit 0 }&#039;,0,,slurmnode3,687,30_0,COMPLETED,BOTORCH_MODULAR,0,0
38,1752151533,6,1752151539,1752151545,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0.00000000000002842171\n&quot;; exit 0 }&#039;,1,,slurmnode2,688,38_0,FAILED,BOTORCH_MODULAR,,0.000000000000028421709430404007
39,1752151544,6,1752151550,1752151556,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0\n&quot;; exit 0 }&#039;,0,,slurmnode3,689,30_0,COMPLETED,BOTORCH_MODULAR,0,0
40,1752151555,4,1752151559,1752151565,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0.00000000000011368684\n&quot;; exit 0 }&#039;,0,,slurmnode2,690,32_0,COMPLETED,BOTORCH_MODULAR,0.000000000000113686840000000007,0.00000000000011368683772161603
41,1752151567,7,1752151574,1752151580,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0\n&quot;; exit 0 }&#039;,0,,slurmnode2,691,30_0,COMPLETED,BOTORCH_MODULAR,0,0
42,1752151579,7,1752151586,1752151592,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0\n&quot;; exit 0 }&#039;,0,,slurmnode3,692,30_0,COMPLETED,BOTORCH_MODULAR,0,0
43,1752151591,5,1752151596,1752151602,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0\n&quot;; exit 0 }&#039;,0,,slurmnode2,693,30_0,COMPLETED,BOTORCH_MODULAR,0,0
44,1752151601,5,1752151606,1752151612,6,perl -e &#039;if (rand() &gt;= 0.5) { exit 1 } else { print &quot;RESULT: 0\n&quot;; exit 0 }&#039;,1,,slurmnode3,694,30_0,FAILED,BOTORCH_MODULAR,,0
45,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
46,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
47,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
48,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
49,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
50,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
51,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
52,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
53,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
54,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
55,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
56,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
57,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
58,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
59,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
60,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
61,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
62,,,,,,,,,,,38_0,RUNNING,BOTORCH_MODULAR,,0.000000000000028421709430404007
63,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
64,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
65,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
66,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
67,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
68,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
69,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
70,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
71,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
72,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
73,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
74,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
75,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
76,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
77,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
78,,,,,,,,,,,38_0,RUNNING,BOTORCH_MODULAR,,0.000000000000028421709430404007
79,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
80,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
81,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
82,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
83,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
84,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
85,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
86,,,,,,,,,,,86_0,RUNNING,BOTORCH_MODULAR,,0.000000000000014210854715202004
87,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
88,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
89,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
90,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
91,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
92,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
93,,,,,,,,,,,93_0,RUNNING,BOTORCH_MODULAR,,0.000000000000007105427357601002
94,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
95,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
96,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
97,,,,,,,,,,,38_0,RUNNING,BOTORCH_MODULAR,,0.000000000000028421709430404007
98,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
99,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
100,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
101,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
102,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
103,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
104,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
105,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
106,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
107,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
108,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
109,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
110,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
111,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
112,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
113,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
114,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
115,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
116,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
117,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
118,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
119,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
120,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
121,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
122,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
123,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
124,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
125,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
126,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
127,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
128,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
129,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
130,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
131,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
132,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
133,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
134,,,,,,,,,,,38_0,RUNNING,BOTORCH_MODULAR,,0.000000000000028421709430404007
135,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
136,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
137,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
138,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
139,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
140,,,,,,,,,,,140_0,RUNNING,BOTORCH_MODULAR,,0.000000000000003552713678800501
141,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
142,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
143,,,,,,,,,,,86_0,RUNNING,BOTORCH_MODULAR,,0.000000000000014210854715202004
144,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
145,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
146,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
147,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
148,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
149,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
150,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
151,,,,,,,,,,,93_0,RUNNING,BOTORCH_MODULAR,,0.000000000000007105427357601002
152,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
153,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
154,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
155,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
156,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
157,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
158,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
159,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
160,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
161,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
162,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
163,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
164,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
165,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
166,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
167,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
168,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
169,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
170,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
171,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
172,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
173,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
174,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
175,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
176,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
177,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
178,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
179,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
180,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
181,,,,,,,,,,,93_0,RUNNING,BOTORCH_MODULAR,,0.000000000000007105427357601002
182,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
183,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
184,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
185,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
186,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
187,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
188,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
189,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
190,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
191,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
192,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
193,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
194,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
195,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
196,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
197,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
198,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
199,,,,,,,,,,,33_0,RUNNING,BOTORCH_MODULAR,,0.000000000000056843418860808015
200,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
201,,,,,,,,,,,86_0,RUNNING,BOTORCH_MODULAR,,0.000000000000014210854715202004
202,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
203,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
204,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
205,,,,,,,,,,,86_0,RUNNING,BOTORCH_MODULAR,,0.000000000000014210854715202004
206,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
207,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
208,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
209,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
210,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
211,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
212,,,,,,,,,,,86_0,RUNNING,BOTORCH_MODULAR,,0.000000000000014210854715202004
213,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
214,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0
215,,,,,,,,,,,32_0,RUNNING,BOTORCH_MODULAR,,0.00000000000011368683772161603
216,,,,,,,,,,,30_0,RUNNING,BOTORCH_MODULAR,,0</pre>
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<h1><img class='invert_icon' src='i/terminal.svg' style='height: 1em' />&nbsp;Progressbar log</h1>
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<pre id='simple_pre_tab_tab_progressbar_log'>2025-07-10 12:33:01: SOBOL, Started OmniOpt2 run...
2025-07-10 12:33:06: Sobol, getting new HP set #1/15
2025-07-10 12:33:08: Sobol, getting new HP set #2/15
2025-07-10 12:33:11: Sobol, getting new HP set #3/15
2025-07-10 12:33:14: Sobol, getting new HP set #4/15
2025-07-10 12:33:16: Sobol, getting new HP set #5/15
2025-07-10 12:33:18: Sobol, getting new HP set #6/15
2025-07-10 12:33:21: Sobol, getting new HP set #7/15
2025-07-10 12:33:23: Sobol, getting new HP set #8/15
2025-07-10 12:33:25: Sobol, getting new HP set #9/15
2025-07-10 12:33:27: Sobol, getting new HP set #10/15
2025-07-10 12:33:29: Sobol, getting new HP set #11/15
2025-07-10 12:33:32: Sobol, getting new HP set #12/15
2025-07-10 12:33:34: Sobol, getting new HP set #13/15
2025-07-10 12:33:36: Sobol, getting new HP set #14/15
2025-07-10 12:33:40: Sobol, getting new HP set #15/15
2025-07-10 12:33:43: Sobol, requested 15 jobs, got 15, 2.56 s/job
2025-07-10 12:33:44: Sobol, eval #1/15 start                     
2025-07-10 12:33:45: Sobol, eval #2/15 start                     
2025-07-10 12:33:46: Sobol, eval #3/15 start                     
2025-07-10 12:33:47: Sobol, eval #4/15 start                     
2025-07-10 12:33:49: Sobol, eval #5/15 start                     
2025-07-10 12:33:50: Sobol, eval #6/15 start                     
2025-07-10 12:33:52: Sobol, eval #7/15 start                     
2025-07-10 12:33:53: Sobol, eval #8/15 start                     
2025-07-10 12:33:54: Sobol, eval #9/15 start                     
2025-07-10 12:33:55: Sobol, eval #10/15 start                    
2025-07-10 12:33:57: Sobol, eval #11/15 start                    
2025-07-10 12:33:58: Sobol, eval #12/15 start                    
2025-07-10 12:33:59: Sobol, eval #13/15 start                    
2025-07-10 12:34:00: Sobol, eval #14/15 start                    
2025-07-10 12:34:02: Sobol, eval #15/15 start                    
2025-07-10 12:34:03: Sobol, starting new job                     
2025-07-10 12:34:07: Sobol, pending 1 = &sum;1/15, started new job   
2025-07-10 12:34:09: Sobol, running 1 = &sum;1/15, starting new job  
2025-07-10 12:34:11: Sobol, running/pending 1/1 = &sum;2/15, started new job
2025-07-10 12:34:12: Sobol, running 2 = &sum;2/15, starting new job         
2025-07-10 12:34:15: Sobol, running 3 = &sum;3/15, started new job          
2025-07-10 12:34:16: Sobol, running 3 = &sum;3/15, starting new job         
2025-07-10 12:34:19: Sobol, completed/running/pending 1/2/1 = &sum;4/15, started new job
2025-07-10 12:34:22: Sobol, best RESULT: 74.60605353116989, completed/running 2/2 = &sum;4/15, starting new job
2025-07-10 12:34:24: Sobol, best RESULT: 74.60605353116989, completed/running/pending 2/2/1 = &sum;5/15, started new job
2025-07-10 12:34:27: Sobol, best RESULT: 74.60605353116989, completed/running 3/2 = &sum;5/15, starting new job         
2025-07-10 12:34:29: Sobol, best RESULT: 74.60605353116989, completed/running/pending 3/2/1 = &sum;6/15, started new job
2025-07-10 12:34:31: Sobol, best RESULT: 74.60605353116989, completed/running 4/2 = &sum;6/15, starting new job         
2025-07-10 12:34:34: Sobol, best RESULT: 74.60605353116989, completed/running/pending 4/2/1 = &sum;7/15, started new job
2025-07-10 12:34:37: Sobol, best RESULT: 74.60605353116989, completed/running 5/2 = &sum;7/15, starting new job         
2025-07-10 12:34:40: Sobol, best RESULT: 74.60605353116989, completed/running/pending 5/2/1 = &sum;8/15, started new job
2025-07-10 12:34:43: Sobol, best RESULT: 74.60605353116989, completed/running 6/2 = &sum;8/15, starting new job         
2025-07-10 12:34:46: Sobol, best RESULT: 74.60605353116989, completed/running/pending 7/1/1 = &sum;9/15, started new job
2025-07-10 12:34:50: Sobol, best RESULT: 74.60605353116989, completed/running 8/1 = &sum;9/15, starting new job         
2025-07-10 12:34:52: Sobol, best RESULT: 74.60605353116989, completed/running/pending 8/1/1 = &sum;10/15, started new job
2025-07-10 12:34:56: Sobol, best RESULT: 74.60605353116989, completed/running 9/1 = &sum;10/15, starting new job         
2025-07-10 12:34:59: Sobol, best RESULT: 74.60605353116989, completed/running/pending 9/1/1 = &sum;11/15, started new job
2025-07-10 12:35:01: Sobol, best RESULT: 74.60605353116989, completed/running 9/2 = &sum;11/15, starting new job         
2025-07-10 12:35:04: Sobol, best RESULT: 74.60605353116989, completed/running/pending 10/1/1 = &sum;12/15, started new job
2025-07-10 12:35:07: Sobol, best RESULT: 74.60605353116989, completed/running 10/2 = &sum;12/15, starting new job         
2025-07-10 12:35:10: Sobol, best RESULT: 74.60605353116989, completed/running/pending 10/2/1 = &sum;13/15, started new job
2025-07-10 12:35:13: Sobol, best RESULT: 74.60605353116989, completed/running 11/2 = &sum;13/15, starting new job         
2025-07-10 12:35:16: Sobol, best RESULT: 74.60605353116989, completed/running/pending 11/2/1 = &sum;14/15, started new job
2025-07-10 12:35:19: Sobol, best RESULT: 74.60605353116989, completed/running 12/2 = &sum;14/15, starting new job         
2025-07-10 12:35:22: Sobol, best RESULT: 74.60605353116989, completed/running/pending 13/1/1 = &sum;15/15, started new job
2025-07-10 12:35:30: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = &sum;15/15, job_failed               
2025-07-10 12:35:30: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = &sum;15/15, job_failed               
2025-07-10 12:35:30: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = &sum;15/15, job_failed               
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = &sum;15/15, job_failed               
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = &sum;15/15, new result: 220.29977105557919
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = &sum;15/15, new result: 453.5284452140331 
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = &sum;15/15, new result: 296.73428647220135
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = &sum;15/15, new result: 652.4880155920982 
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = &sum;15/15, new result: 830.4769694805145 
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = &sum;15/15, new result: 701.5563789755106 
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = &sum;15/15, new result: 74.60605353116989 
2025-07-10 12:35:31: Sobol, best RESULT: 74.60605353116989, completed/running 14/1 = &sum;15/15, new result: 750.1586098223925 
2025-07-10 12:35:39: Sobol, failed: 4 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 10/1 = &sum;11/15, job_failed
2025-07-10 12:35:39: Sobol, failed: 4 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 10/1 = &sum;11/15, job_failed
2025-07-10 12:35:39: Sobol, failed: 4 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 10/1 = &sum;11/15, job_failed
2025-07-10 12:35:51: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, finishing jobs, finished 15 jobs           
2025-07-10 12:35:58: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #1/15                   
2025-07-10 12:36:02: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #2/15                   
2025-07-10 12:36:07: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #3/15                   
2025-07-10 12:36:11: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #4/15                   
2025-07-10 12:36:15: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #5/15                   
2025-07-10 12:36:19: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #6/15                   
2025-07-10 12:36:23: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #7/15                   
2025-07-10 12:36:28: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #8/15                   
2025-07-10 12:36:33: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #9/15                   
2025-07-10 12:36:37: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #10/15                  
2025-07-10 12:36:41: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #11/15                  
2025-07-10 12:36:45: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #12/15                  
2025-07-10 12:36:50: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #13/15                  
2025-07-10 12:36:53: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #14/15                  
2025-07-10 12:36:58: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, getting new HP set #15/15                  
2025-07-10 12:37:03: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, requested 15 jobs, got 15, 4.39 s/job      
2025-07-10 12:37:04: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #1/15 start                           
2025-07-10 12:37:07: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #2/15 start                           
2025-07-10 12:37:09: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #3/15 start                           
2025-07-10 12:37:12: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #4/15 start                           
2025-07-10 12:37:14: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #5/15 start                           
2025-07-10 12:37:17: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #6/15 start                           
2025-07-10 12:37:20: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #7/15 start                           
2025-07-10 12:37:22: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #8/15 start                           
2025-07-10 12:37:25: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #9/15 start                           
2025-07-10 12:37:27: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #10/15 start                          
2025-07-10 12:37:29: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #11/15 start                          
2025-07-10 12:37:31: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #12/15 start                          
2025-07-10 12:37:33: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #13/15 start                          
2025-07-10 12:37:35: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #14/15 start                          
2025-07-10 12:37:37: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, eval #15/15 start                          
2025-07-10 12:37:39: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, starting new job                           
2025-07-10 12:37:42: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, pending 1 = &sum;1/15, started new job         
2025-07-10 12:37:46: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, running 1 = &sum;1/15, starting new job        
2025-07-10 12:37:49: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, running/pending 1/1 = &sum;2/15, started new job
2025-07-10 12:37:53: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 1/1 = &sum;2/15, starting new job
2025-07-10 12:37:56: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running/pending 1/1/1 = &sum;3/15, started new job
2025-07-10 12:37:59: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 1/2 = &sum;3/15, starting new job         
2025-07-10 12:38:02: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running/pending 2/1/1 = &sum;4/15, started new job
2025-07-10 12:38:07: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 3/1 = &sum;4/15, starting new job         
2025-07-10 12:38:10: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running/pending 3/1/1 = &sum;5/15, started new job
2025-07-10 12:38:14: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 4/1 = &sum;5/15, starting new job         
2025-07-10 12:38:18: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running/pending 4/1/1 = &sum;6/15, started new job
2025-07-10 12:38:23: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 5/1 = &sum;6/15, starting new job         
2025-07-10 12:38:26: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running/pending 5/1/1 = &sum;7/15, started new job
2025-07-10 12:38:31: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 6/1 = &sum;7/15, starting new job         
2025-07-10 12:38:35: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running/pending 6/1/1 = &sum;8/15, started new job
2025-07-10 12:38:39: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 7/1 = &sum;8/15, starting new job         
2025-07-10 12:38:42: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running/pending 7/1/1 = &sum;9/15, started new job
2025-07-10 12:38:47: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 8/1 = &sum;9/15, starting new job         
2025-07-10 12:38:50: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running/pending 8/1/1 = &sum;10/15, started new job
2025-07-10 12:38:57: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 9/1 = &sum;10/15, starting new job         
2025-07-10 12:39:00: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running/pending 9/1/1 = &sum;11/15, started new job
2025-07-10 12:39:05: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 10/1 = &sum;11/15, starting new job        
2025-07-10 12:39:08: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running/pending 10/1/1 = &sum;12/15, started new job
2025-07-10 12:39:12: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 11/1 = &sum;12/15, starting new job         
2025-07-10 12:39:15: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running/pending 11/1/1 = &sum;13/15, started new job
2025-07-10 12:39:17: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 11/2 = &sum;13/15, starting new job         
2025-07-10 12:39:20: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running/pending 12/1/1 = &sum;14/15, started new job
2025-07-10 12:39:25: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 13/1 = &sum;14/15, starting new job         
2025-07-10 12:39:29: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed/running 13/2 = &sum;15/15, started new job          
2025-07-10 12:39:40: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed 15 = &sum;15/15, job_failed                         
2025-07-10 12:39:40: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed 15 = &sum;15/15, job_failed                         
2025-07-10 12:39:40: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed 15 = &sum;15/15, job_failed                         
2025-07-10 12:39:40: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed 15 = &sum;15/15, job_failed                         
2025-07-10 12:39:40: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed 15 = &sum;15/15, job_failed                         
2025-07-10 12:39:40: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed 15 = &sum;15/15, job_failed                         
2025-07-10 12:39:40: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed 15 = &sum;15/15, new result: 29.436547309160233     
2025-07-10 12:39:40: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed 15 = &sum;15/15, new result: 424.59024116396904     
2025-07-10 12:39:40: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed 15 = &sum;15/15, new result: 797.6322770118713      
2025-07-10 12:39:40: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed 15 = &sum;15/15, new result: 668.7422040849924      
2025-07-10 12:39:40: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed 15 = &sum;15/15, new result: 128.1444039195776      
2025-07-10 12:39:40: Sobol, failed: 7 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 74.60605353116989, completed 15 = &sum;15/15, new result: 204.56438139081        
2025-07-10 12:39:49: Sobol, failed: 13 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed 9 = &sum;9/15, job_failed                         
2025-07-10 12:39:50: Sobol, failed: 13 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed 9 = &sum;9/15, new result: 325.64197294414043     
2025-07-10 12:39:50: Sobol, failed: 13 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed 9 = &sum;9/15, new result: 469.2643117159605      
2025-07-10 12:40:05: Sobol, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, finishing jobs, finished 15 jobs                        
2025-07-10 12:42:12: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #1/15                     
2025-07-10 12:42:17: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #2/15                     
2025-07-10 12:42:23: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #3/15                     
2025-07-10 12:42:29: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #4/15                     
2025-07-10 12:42:35: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #5/15                     
2025-07-10 12:42:40: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #6/15                     
2025-07-10 12:42:46: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #7/15                     
2025-07-10 12:42:50: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #8/15                     
2025-07-10 12:42:56: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #9/15                     
2025-07-10 12:43:03: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #10/15                    
2025-07-10 12:43:08: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #11/15                    
2025-07-10 12:43:13: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #12/15                    
2025-07-10 12:43:18: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #13/15                    
2025-07-10 12:43:24: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #14/15                    
2025-07-10 12:43:31: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, getting new HP set #15/15                    
2025-07-10 12:43:36: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, requested 15 jobs, got 15, 13.62 s/job       
2025-07-10 12:43:38: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #1/15 start                             
2025-07-10 12:43:41: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #2/15 start                             
2025-07-10 12:43:44: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #3/15 start                             
2025-07-10 12:43:47: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #4/15 start                             
2025-07-10 12:43:50: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #5/15 start                             
2025-07-10 12:43:53: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #6/15 start                             
2025-07-10 12:43:56: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #7/15 start                             
2025-07-10 12:43:59: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #8/15 start                             
2025-07-10 12:44:01: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #9/15 start                             
2025-07-10 12:44:04: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #10/15 start                            
2025-07-10 12:44:07: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #11/15 start                            
2025-07-10 12:44:10: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #12/15 start                            
2025-07-10 12:44:13: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #13/15 start                            
2025-07-10 12:44:16: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #14/15 start                            
2025-07-10 12:44:18: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, eval #15/15 start                            
2025-07-10 12:44:21: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, starting new job                             
2025-07-10 12:44:24: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, pending 1 = &sum;1/15, started new job           
2025-07-10 12:44:27: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, running 1 = &sum;1/15, starting new job          
2025-07-10 12:44:30: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, running/pending 1/1 = &sum;2/15, started new job 
2025-07-10 12:44:36: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 1/1 = &sum;2/15, starting new job
2025-07-10 12:44:39: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running/pending 1/1/1 = &sum;3/15, started new job
2025-07-10 12:44:45: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 2/1 = &sum;3/15, starting new job         
2025-07-10 12:44:49: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running/pending 2/1/1 = &sum;4/15, started new job
2025-07-10 12:44:54: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 3/1 = &sum;4/15, starting new job         
2025-07-10 12:44:57: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running/pending 3/1/1 = &sum;5/15, started new job
2025-07-10 12:45:03: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 4/1 = &sum;5/15, starting new job         
2025-07-10 12:45:07: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running/pending 4/1/1 = &sum;6/15, started new job
2025-07-10 12:45:13: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 5/1 = &sum;6/15, starting new job         
2025-07-10 12:45:16: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running/pending 5/1/1 = &sum;7/15, started new job
2025-07-10 12:45:22: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 6/1 = &sum;7/15, starting new job         
2025-07-10 12:45:26: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running/pending 6/1/1 = &sum;8/15, started new job
2025-07-10 12:45:31: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 7/1 = &sum;8/15, starting new job         
2025-07-10 12:45:35: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running/pending 7/1/1 = &sum;9/15, started new job
2025-07-10 12:45:41: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 8/1 = &sum;9/15, starting new job         
2025-07-10 12:45:45: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running/pending 8/1/1 = &sum;10/15, started new job
2025-07-10 12:45:52: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 9/1 = &sum;10/15, starting new job         
2025-07-10 12:45:56: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running/pending 9/1/1 = &sum;11/15, started new job
2025-07-10 12:46:03: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 10/1 = &sum;11/15, starting new job        
2025-07-10 12:46:08: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/pending 11/1 = &sum;12/15, started new job         
2025-07-10 12:46:15: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 11/1 = &sum;12/15, starting new job        
2025-07-10 12:46:20: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running/pending 11/1/1 = &sum;13/15, started new job
2025-07-10 12:46:29: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 12/1 = &sum;13/15, starting new job         
2025-07-10 12:46:32: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running/pending 12/1/1 = &sum;14/15, started new job
2025-07-10 12:46:38: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 13/1 = &sum;14/15, starting new job         
2025-07-10 12:46:42: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running/pending 13/1/1 = &sum;15/15, started new job
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 14/1 = &sum;15/15, job_failed               
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 14/1 = &sum;15/15, job_failed               
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 14/1 = &sum;15/15, job_failed               
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 14/1 = &sum;15/15, job_failed               
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 14/1 = &sum;15/15, job_failed               
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 14/1 = &sum;15/15, new result: 0.0          
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 14/1 = &sum;15/15, new result: 0.0          
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 14/1 = &sum;15/15, new result: 1.1368684e-13
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 14/1 = &sum;15/15, new result: 5.684342e-14 
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 14/1 = &sum;15/15, new result: 0.0          
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 14/1 = &sum;15/15, new result: 0.0          
2025-07-10 12:46:55: BoTorchGenerator, failed: 14 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 29.436547309160233, completed/running 14/1 = &sum;15/15, new result: 1.1368684e-13
2025-07-10 12:47:09: BoTorchGenerator, failed: 19 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, completed 10 = &sum;10/15, new result: 0.0                                     
2025-07-10 12:47:09: BoTorchGenerator, failed: 19 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, completed 10 = &sum;10/15, job_failed                                          
2025-07-10 12:47:09: BoTorchGenerator, failed: 19 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, completed 10 = &sum;10/15, new result: 0.0                                     
2025-07-10 12:47:46: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, finishing jobs, finished 15 jobs                                           
2025-07-10 12:50:41: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 12:50:48: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 12:50:54: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 12:51:02: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 12:51:08: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 12:51:16: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 12:51:22: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 12:51:29: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 12:51:35: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 12:51:41: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 12:51:48: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 12:51:55: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 12:52:01: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 12:52:09: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 12:52:16: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 12:52:23: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, requested 15 jobs, got 15, 17.92 s/job                                     
2025-07-10 12:55:10: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 12:55:17: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 12:55:23: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 12:55:29: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 12:55:35: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 12:55:41: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 12:55:47: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 12:55:53: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 12:55:59: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 12:56:06: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 12:56:12: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 12:56:19: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 12:56:25: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 12:56:31: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 12:56:37: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 12:56:43: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, requested 15 jobs, got 15, 16.71 s/job                                     
2025-07-10 12:58:39: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 12:58:47: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 12:58:55: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 12:59:02: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 12:59:08: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 12:59:14: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 12:59:22: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 12:59:29: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 12:59:36: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 12:59:43: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 12:59:50: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 12:59:56: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:00:03: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:00:10: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:00:19: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:00:30: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, requested 15 jobs, got 15, 14.33 s/job                                     
2025-07-10 13:02:31: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:02:36: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:02:44: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:02:50: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:02:57: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:03:03: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:03:08: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:03:14: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:03:21: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:03:27: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:03:36: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:03:43: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:03:50: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:03:58: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:04:07: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:04:16: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, requested 15 jobs, got 15, 14.37 s/job                                     
2025-07-10 13:06:34: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:06:42: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:06:49: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:06:56: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:07:04: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:07:10: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:07:17: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:07:24: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:07:34: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:07:43: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:07:54: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:08:01: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:08:09: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:08:16: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:08:23: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:08:30: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, requested 15 jobs, got 15, 16.04 s/job                                     
2025-07-10 13:12:04: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:12:11: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:12:18: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:12:26: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:12:33: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:12:40: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:12:47: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:12:54: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:13:01: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:13:08: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:13:15: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:13:23: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:13:30: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:13:37: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:13:45: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:13:52: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, requested 15 jobs, got 15, 20.61 s/job                                     
2025-07-10 13:16:05: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:16:11: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:16:16: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:16:22: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:16:28: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:16:33: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:16:39: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:16:44: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:16:50: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:16:55: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:17:00: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:17:06: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:17:11: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:17:16: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:17:22: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:17:27: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, requested 15 jobs, got 15, 13.45 s/job                                     
2025-07-10 13:19:04: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:19:10: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:19:15: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:19:21: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:19:26: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:19:32: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:19:37: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:19:43: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:19:49: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:19:54: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:20:00: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:20:05: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:20:11: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:20:16: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:20:22: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:20:28: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, requested 15 jobs, got 15, 11.37 s/job                                     
2025-07-10 13:22:26: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:22:32: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:22:37: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:22:43: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:22:48: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:22:56: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:23:01: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:23:07: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:23:12: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:23:18: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:23:23: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:23:29: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:23:35: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:23:41: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:23:46: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:23:52: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, requested 15 jobs, got 15, 12.91 s/job                                     
2025-07-10 13:25:45: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:25:51: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:25:56: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:26:02: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:26:08: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:26:13: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:26:18: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:26:24: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:26:30: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:26:37: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:26:42: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:26:48: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:26:53: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:26:59: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:27:04: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:27:10: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, requested 15 jobs, got 15, 12.53 s/job                                     
2025-07-10 13:28:58: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:29:05: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:29:11: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:29:16: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:29:22: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:29:27: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:29:33: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:29:39: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #8/15                                                   
2025-07-10 13:29:45: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #9/15                                                   
2025-07-10 13:29:50: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #10/15                                                  
2025-07-10 13:29:56: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #11/15                                                  
2025-07-10 13:30:02: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #12/15                                                  
2025-07-10 13:30:07: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #13/15                                                  
2025-07-10 13:30:13: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #14/15                                                  
2025-07-10 13:30:19: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #15/15                                                  
2025-07-10 13:30:25: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, requested 15 jobs, got 15, 12.36 s/job                                     
2025-07-10 13:32:11: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #1/15                                                   
2025-07-10 13:32:17: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #2/15                                                   
2025-07-10 13:32:23: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #3/15                                                   
2025-07-10 13:32:28: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #4/15                                                   
2025-07-10 13:32:34: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #5/15                                                   
2025-07-10 13:32:40: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #6/15                                                   
2025-07-10 13:32:46: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #7/15                                                   
2025-07-10 13:32:52: BoTorchGenerator, failed: 20 (&#039;RESULT: &lt;FLOAT&gt;&#039; not found), best RESULT: 0, getting new HP set #8/15                                                   
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<h1><img class='invert_icon' src='i/table.svg' style='height: 1em' />&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>15                                                                                                             </td></tr><tr><td> max_eval</td><td>45                                                                                                             </td></tr><tr><td> run_program</td><td>[[&#039;cGVybCAtZSAnaWYgKHJhbmQoKSA+PSAwLjUpIHsgZXhpdCAxIH0gZWxzZSB7IHByaW50ICJSRVNVTFQ6ICV4XG4iOyBleGl0IDAgfSc=&#039;]] </td></tr><tr><td> experiment_name</td><td>partly_failed                                                                                                  </td></tr><tr><td> mem_gb</td><td>1                                                                                                              </td></tr><tr><td> parameter</td><td>[[&#039;x&#039;, &#039;range&#039;, &#039;0&#039;, &#039;1000&#039;, &#039;float&#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> 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>None                                                                                                           </td></tr><tr><td> root_venv_dir</td><td>/home/admin                                                                                                    </td></tr><tr><td> exclude</td><td>None                                                                                                           </td></tr><tr><td> main_process_gb</td><td>8                                                                                                              </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>False                                                                                                          </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> max_attempts_for_generation</td><td>20                                                                                                             </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>[]                                                                                                             </td></tr><tr><td> show_generate_time_table</td><td>False                                                                                                          </td></tr><tr><td> force_choice_for_ranges</td><td>False                                                                                                          </td></tr><tr><td> max_abandoned_retrial</td><td>20                                                                                                             </td></tr><tr><td> share_password</td><td>None                                                                                                           </td></tr><tr><td> dryrun</td><td>False                                                                                                          </td></tr><tr><td> db_url</td><td>None                                                                                                           </td></tr><tr><td> dont_warm_start_refitting</td><td>False                                                                                                          </td></tr><tr><td> refit_on_cv</td><td>False                                                                                                          </td></tr><tr><td> fit_out_of_design</td><td>False                                                                                                          </td></tr><tr><td> fit_abandoned</td><td>False                                                                                                          </td></tr><tr><td> dont_jit_compile</td><td>False                                                                                                          </td></tr><tr><td> num_restarts</td><td>20                                                                                                             </td></tr><tr><td> raw_samples</td><td>1024                                                                                                           </td></tr><tr><td> max_num_of_parallel_sruns</td><td>1                                                                                                              </td></tr><tr><td> no_transform_inputs</td><td>False                                                                                                          </td></tr><tr><td> no_normalize_y</td><td>False                                                                                                          </td></tr><tr><td> transforms</td><td>[]                                                                                                             </td></tr><tr><td> num_parallel_jobs</td><td>15                                                                                                             </td></tr><tr><td> worker_timeout</td><td>40                                                                                                             </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                          </td></tr><tr><td> time</td><td>60                                                                                                             </td></tr><tr><td> partition</td><td>alpha                                                                                                          </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>True                                                                                                           </td></tr><tr><td> debug</td><td>False                                                                                                          </td></tr><tr><td> flame_graph</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><tr><td> show_generation_and_submission_sixel</td><td>False                                                                                                          </td></tr><tr><td> just_return_defaults</td><td>False                                                                                                          </td></tr><tr><td> prettyprint</td><td>False                                                                                                          </td></tr></tbody></table>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' />&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")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'><img src='i/download.svg' style='height: 1em'> Download &raquo;worker_usage.csv&laquo; as file</button>
<pre id="pre_tab_worker_usage">1752150781.189585,15,0,0
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</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'><img src='i/download.svg' style='height: 1em'> Download &raquo;worker_usage.csv&laquo; as file</button>

<h1><img class='invert_icon' src='i/cpu.svg' style='height: 1em' />&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")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'><img src='i/download.svg' style='height: 1em'> 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
1752150780,665.3671875,33.1
1752150781,665.4921875,42.4
1752150782,665.6171875,36.7
1752150782,665.7421875,48.0
1752150782,665.7421875,42.9
1752150934,689.890625,42.9
1752150934,689.890625,53.8
1752150934,689.890625,50.7
1752150934,689.890625,47.7
1752150935,690.140625,27.5
1752150936,690.265625,60.7
1752150936,690.390625,46.2
1752150936,690.390625,52.1
1752150936,690.390625,48.3
1752150936,690.390625,60.9
1752150936,690.390625,45.7
1752150936,690.515625,25.1
1752150955,698.33984375,44.3
1752150955,698.33984375,100.0
1752150955,698.33984375,50.5
1752151184,701.58984375,45.4
1752151184,701.58984375,100.0
1752151184,701.58984375,45.3
1752151184,701.58984375,45.3
1752151184,701.58984375,75.0
1752151184,701.58984375,45.3
1752151184,701.58984375,71.4
1752151184,701.58984375,60.9
1752151184,701.58984375,50.9
1752151184,701.71484375,45.3
1752151185,701.71484375,24.8
1752151192,705.46484375,45.3
1752151192,705.46484375,31.0
1752151192,705.46484375,80.0
1752151192,705.46484375,53.0
1752151209,706.68359375,46.2
1752151209,706.68359375,33.5
1752151621,738.578125,90.0
1752151622,738.578125,16.7
1752151622,738.578125,19.4
1752151623,738.828125,52.5
1752151623,738.828125,52.5
1752151623,738.828125,52.5
1752151624,738.828125,57.6
1752151624,738.828125,58.3
1752151624,738.828125,55.7
1752151624,738.828125,52.6
1752151624,738.828125,25.0
1752151636,747.453125,53.2
1752151636,747.453125,50.3
1752151636,747.453125,52.1
1752151636,747.453125,50.8
1752151671,750.8125,54.6
1752151671,750.8125,25.9
1752151949,757.421875,57.6
1752151949,757.421875,46.4
1752151949,757.421875,50.0
1752152210,756.9140625,56.5
1752152210,756.9140625,59.6
1752152436,757.6640625,56.9
1752152437,757.6640625,45.8
1752152665,759.0390625,50.8
1752152665,759.0390625,31.7
1752152919,778.2890625,58.7
1752152919,778.2890625,25.0
1752153240,778.5390625,59.8
1752153240,778.5390625,23.0
1752153453,778.5390625,46.4
1752153453,778.5390625,24.6
1752153634,778.6640625,33.7
1752153634,778.6640625,32.0
1752153838,779.0390625,35.4
1752153838,779.0390625,17.8
1752154036,779.4140625,34.2
1752154036,779.4140625,15.1
1752154232,780.0390625,33.0
1752154232,780.0390625,18.1
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<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' />&nbsp;Param-Distrib by Status</h1>
<div class='invert_in_dark_mode' id='parameter_by_status_distribution'></div>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' />&nbsp;Timeline</h1>
<div class="invert_in_dark_mode" id="plot_timeline"></div>
<h1><img class='invert_icon' src='i/insights.svg' style='height: 1em' />&nbsp;Insights</h1>
<h2>Visualization for result: <code>RESULT</code> (goal: <b>minimize</b>)</h2><p>Best value: <b>0</b><br />
Achieved at:<br />
- <code>run_time</code> = 6<br />
- <code>x</code> = 0</p><div class="result_parameter_visualization" data-resname="RESULT"></div><h2>Parameter statistics</h2><table border='1' cellpadding='5' cellspacing='0'><thead><tr><th>Parameter</th><th>Min</th><th>Max</th><th>Mean</th><th>Std Dev</th><th>Count</th></tr></thead><tbody><tr><td>run_time</td><td>6</td><td>6</td><td>6</td><td>0</td><td>45</td></tr><tr><td>RESULT</td><td>0</td><td>830.477</td><td>281.1146</td><td>296.0844</td><td>25</td></tr><tr><td>x</td><td>0</td><td>999.6158</td><td>69.0085</td><td>201.4097</td><td>217</td></tr></tbody></table>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' />&nbsp;Parallel Plot</h1>
<input type="checkbox" id="enable_slurm_id_if_exists" onchange="createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names, true)" /> Show SLURM-Job-ID (if it exists)<br><div class="invert_in_dark_mode" id="parallel-plot"></div>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' />&nbsp;Results by Generation Method</h1>
<div class="invert_in_dark_mode" id="plotResultsDistributionByGenerationMethod"></div>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' />&nbsp;Job Status Distribution</h1>
<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
<h1><img class='invert_icon' src='i/evolution.svg' style='height: 1em' />&nbsp;Evolution</h1>
<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
<h1><img class='invert_icon' src='i/piechart.svg' style='height: 1em' />&nbsp;Exit-Codes</h1>
<div class="invert_in_dark_mode" id="plotExitCodesPieChart"></div>
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