Experiment overview:

Experiment parameters:

Number of evaluations:

Result names and types:

Last progressbar status:

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trial_index,arm_name,trial_status,generation_method,generation_node,recent_samples_size,n_samples,confidence,feature_proportion,n_clusters
0,0_0,FAILED,Sobol,GenerationStep_0,364,3285,0.699999999999999955591079014994,0.866783982992172186143875478592,3
1,1_0,FAILED,Sobol,GenerationStep_0,3050,1417,0.001000000000000000020816681712,0.436652978241443612272831842347,43
2,2_0,FAILED,Sobol,GenerationStep_0,4255,4080,0.599999999999999977795539507497,0.567172012405469994078544004878,32
3,3_0,FAILED,Sobol,GenerationStep_0,1708,947,0.299999999999999988897769753748,0.129382902881130579242352496294,16
4,4_0,FAILED,Sobol,GenerationStep_0,2251,4839,0.005000000000000000104083408559,0.066177592160180209734932077481,24
5,5_0,FAILED,Sobol,GenerationStep_0,4952,451,0.750000000000000000000000000000,0.630317361807450682320563828398,33
6,6_0,FAILED,Sobol,GenerationStep_0,3603,2799,0.100000000000000005551115123126,0.373646408360451487418174565391,45
7,7_0,FAILED,Sobol,GenerationStep_0,1071,2186,0.400000000000000022204460492503,0.929850538358092282287259422446,10
8,8_0,FAILED,Sobol,GenerationStep_0,864,3818,0.100000000000000005551115123126,0.705601285938173505840609323059,39
9,9_0,FAILED,Sobol,GenerationStep_0,3174,701,0.400000000000000022204460492503,0.022088787741959096944110996219,5
10,10_0,FAILED,Sobol,GenerationStep_0,4521,3663,0.050000000000000002775557561563,0.981760792696848461069691893499,17
11,11_0,FAILED,Sobol,GenerationStep_0,2067,1781,0.849999999999999977795539507497,0.290556277452036715303052005765,26
12,12_0,FAILED,Sobol,GenerationStep_0,1516,3065,0.450000000000000011102230246252,0.476867920080199847454593964358,37
13,13_0,FAILED,Sobol,GenerationStep_0,3812,2428,0.200000000000000011102230246252,0.795389188749715647652749339613,22
14,14_0,FAILED,Sobol,GenerationStep_0,2634,4455,0.650000000000000022204460492503,0.208565264511853448725631210436,10
15,15_0,FAILED,Sobol,GenerationStep_0,165,93,0.001000000000000000020816681712,0.519184770487248870018959223671,50
16,16_0,FAILED,Sobol,GenerationStep_0,30,4573,0.450000000000000011102230246252,0.329786397939547892832479192293,14
17,17_0,FAILED,Sobol,GenerationStep_0,2798,207,0.200000000000000011102230246252,0.895738469453528529662378332432,29
18,18_0,FAILED,Sobol,GenerationStep_0,3961,2868,0.800000000000000044408920985006,0.108088855996727947750279952288,43
19,19_0,FAILED,Sobol,GenerationStep_0,1337,2236,0.025000000000000001387778780781,0.666379129063338071503608261992,2
20,20_0,FAILED,Sobol,GenerationStep_0,1878,3550,0.250000000000000000000000000000,0.605184838742017783275173314905,13
21,21_0,FAILED,Sobol,GenerationStep_0,4661,1663,0.550000000000000044408920985006,0.169343107637017958877478918112,47
22,22_0,FAILED,Sobol,GenerationStep_0,3348,4009,0.000100000000000000004792173602,0.834619309237226825182176526141,34
23,23_0,FAILED,Sobol,GenerationStep_0,739,898,0.599999999999999977795539507497,0.390845596836879860536129172033,25
24,24_0,FAILED,Sobol,GenerationStep_0,1234,2529,0.005000000000000000104083408559,0.246578092707321061549663454571,28
25,25_0,FAILED,Sobol,GenerationStep_0,3470,1911,0.750000000000000000000000000000,0.559144977102056128792639810854,19
26,26_0,FAILED,Sobol,GenerationStep_0,4774,4875,0.250000000000000000000000000000,0.444703220300376400597741621823,6
27,27_0,FAILED,Sobol,GenerationStep_0,2399,491,0.550000000000000044408920985006,0.749581805486231989021916888305,40
28,28_0,FAILED,Sobol,GenerationStep_0,1847,4355,0.800000000000000044408920985006,0.937900780417025070612169201922,48
29,29_0,FAILED,Sobol,GenerationStep_0,4068,1216,0.010000000000000000208166817117,0.256444206688553111295192366015,7
30,30_0,RUNNING,Sobol,GenerationStep_0,2926,3245,0.349999999999999977795539507497,0.747512551633641164627874786675,21
31,31_0,RUNNING,Sobol,GenerationStep_0,536,1382,0.050000000000000002775557561563,0.058150556856766344449027883456,36
32,32_0,RUNNING,Sobol,GenerationStep_0,610,4218,0.050000000000000002775557561563,0.389107616445049653286503144045,11
33,33_0,RUNNING,Sobol,GenerationStep_0,2843,1080,0.849999999999999977795539507497,0.821018613176420331001281738281,46
34,34_0,RUNNING,Sobol,GenerationStep_0,4150,3420,0.149999999999999994448884876874,0.175017592489719403525683105727,32
35,35_0,RUNNING,Sobol,GenerationStep_0,1774,1557,0.400000000000000022204460492503,0.614864258613437408840241005237,23
36,36_0,RUNNING,Sobol,GenerationStep_0,2473,2666,0.650000000000000022204460492503,0.675921609744429607857796327153,15
37,37_0,RUNNING,Sobol,GenerationStep_0,4690,2048,0.000100000000000000004792173602,0.113900280039757495487151572888,31
38,38_0,RUNNING,Sobol,GenerationStep_0,3552,4699,0.500000000000000000000000000000,0.882274705147370719160448970797,44
39,39_0,RUNNING,Sobol,GenerationStep_0,1161,316,0.200000000000000011102230246252,0.327911485793069001903887738081,4
40,40_0,RUNNING,Sobol,GenerationStep_0,657,3686,0.550000000000000044408920985006,0.036650191245600580169927695806,49
41,41_0,RUNNING,Sobol,GenerationStep_0,3421,1799,0.299999999999999988897769753748,0.721976593697443602692942477006,9
42,42_0,RUNNING,Sobol,GenerationStep_0,4587,3834,0.699999999999999955591079014994,0.274068973489105693897016635674,22
43,43_0,RUNNING,Sobol,GenerationStep_0,1962,722,0.001000000000000000020816681712,0.967297108892351431563838559669,38
44,44_0,RUNNING,Sobol,GenerationStep_0,1255,4437,0.100000000000000005551115123126,0.778871413372457022106232216174,27
45,45_0,RUNNING,Sobol,GenerationStep_0,4034,70,0.349999999999999977795539507497,0.462434707690030311066919921359,17
46,46_0,RUNNING,Sobol,GenerationStep_0,2724,3044,0.010000000000000000208166817117,0.533715732319280489193147332116,4
47,47_0,RUNNING,Sobol,GenerationStep_0,114,2412,0.750000000000000000000000000000,0.224971013942733416568486859433,39
48,48_0,RUNNING,Sobol,GenerationStep_0,238,2928,0.299999999999999988897769753748,0.912484533201903147414668637794,25
49,49_0,RUNNING,Sobol,GenerationStep_0,2552,2291,0.550000000000000044408920985006,0.344478622928261757341061866100,35
50,50_0,RUNNING,Sobol,GenerationStep_0,3895,4631,0.005000000000000000104083408559,0.651558965774252984992642723228,46
51,51_0,RUNNING,Sobol,GenerationStep_0,1442,269,0.699999999999999955591079014994,0.091485007053241140795307728695,12
52,52_0,RUNNING,Sobol,GenerationStep_0,2140,3955,0.349999999999999977795539507497,0.154553386019542826623762721283,1
53,53_0,RUNNING,Sobol,GenerationStep_0,4439,838,0.100000000000000005551115123126,0.588550548126921091451890788449,42
54,54_0,RUNNING,Sobol,GenerationStep_0,3258,3487,0.800000000000000044408920985006,0.407622131999582026917749999484,30
55,55_0,RUNNING,Sobol,GenerationStep_0,791,1605,0.010000000000000000208166817117,0.849281062811613085550277446600,14
56,56_0,RUNNING,Sobol,GenerationStep_0,987,4976,0.849999999999999977795539507497,0.513251523990184033152672782307,36
57,57_0,RUNNING,Sobol,GenerationStep_0,3677,588,0.025000000000000001387778780781,0.198657301597297192286006861650,20
58,58_0,RUNNING,Sobol,GenerationStep_0,4879,2623,0.450000000000000011102230246252,0.797385930785909247120457621349,8
59,59_0,RUNNING,Sobol,GenerationStep_0,2333,2010,0.149999999999999994448884876874,0.490697159184142972510045410672,49

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start_time,end_time,run_time,program_string,recent_samples_size,n_samples,confidence,feature_proportion,n_clusters,ACCURACY,RUNTIME,exit_code,signal,hostname,OO_Info_SLURM_JOB_ID
1743611558,1743611578,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1071 n_samples 2186 confidence 0.4 feature_proportion 0.9298505383580923 n_clusters 10,1071,2186,0.4,0.9298505383580923,10,None,None,1,None,n1708,16301536
1743611558,1743611578,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4952 n_samples 451 confidence 0.75 feature_proportion 0.6303173618074507 n_clusters 33,4952,451,0.75,0.6303173618074507,33,None,None,1,None,n1708,16301531
1743611558,1743611578,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3603 n_samples 2799 confidence 0.1 feature_proportion 0.3736464083604515 n_clusters 45,3603,2799,0.1,0.3736464083604515,45,None,None,1,None,n1708,16301534
1743611559,1743611579,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2251 n_samples 4839 confidence 0.005 feature_proportion 0.06617759216018021 n_clusters 24,2251,4839,0.005,0.06617759216018021,24,None,None,1,None,n1708,16301529
1743611589,1743611608,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4521 n_samples 3663 confidence 0.05 feature_proportion 0.9817607926968485 n_clusters 17,4521,3663,0.05,0.9817607926968485,17,None,None,1,None,n1705,16301543
1743611589,1743611609,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 864 n_samples 3818 confidence 0.1 feature_proportion 0.7056012859381735 n_clusters 39,864,3818,0.1,0.7056012859381735,39,None,None,1,None,n1707,16301538
1743611589,1743611609,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3174 n_samples 701 confidence 0.4 feature_proportion 0.022088787741959097 n_clusters 5,3174,701,0.4,0.022088787741959097,5,None,None,1,None,n1707,16301539
1743611649,1743611669,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 165 n_samples 93 confidence 0.001 feature_proportion 0.5191847704872489 n_clusters 50,165,93,0.001,0.5191847704872489,50,None,None,1,None,n1708,16301563
1743611649,1743611669,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 30 n_samples 4573 confidence 0.45 feature_proportion 0.3297863979395479 n_clusters 14,30,4573,0.45,0.3297863979395479,14,None,None,1,None,n1708,16301565
1743611649,1743611669,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2634 n_samples 4455 confidence 0.65 feature_proportion 0.20856526451185345 n_clusters 10,2634,4455,0.65,0.20856526451185345,10,None,None,1,None,n1708,16301559
1743611679,1743611699,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2798 n_samples 207 confidence 0.2 feature_proportion 0.8957384694535285 n_clusters 29,2798,207,0.2,0.8957384694535285,29,None,None,1,None,n1708,16301568
1743611679,1743611699,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1878 n_samples 3550 confidence 0.25 feature_proportion 0.6051848387420178 n_clusters 13,1878,3550,0.25,0.6051848387420178,13,None,None,1,None,n1708,16301575
1743611679,1743611699,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3961 n_samples 2868 confidence 0.8 feature_proportion 0.10808885599672795 n_clusters 43,3961,2868,0.8,0.10808885599672795,43,None,None,1,None,n1708,16301571
1743611680,1743611700,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1337 n_samples 2236 confidence 0.025 feature_proportion 0.6663791290633381 n_clusters 2,1337,2236,0.025,0.6663791290633381,2,None,None,1,None,n1708,16301573
1743611705,1743611711,6,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 3348 n_samples 4009 confidence 0.0001 feature_proportion 0.8346193092372268 n_clusters 34,3348,4009,0.0001,0.8346193092372268,34,None,None,1,None,n1705,16301581
1743611705,1743611711,6,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1234 n_samples 2529 confidence 0.005 feature_proportion 0.24657809270732106 n_clusters 28,1234,2529,0.005,0.24657809270732106,28,None,None,1,None,n1697,16301587
1743611709,1743611722,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4661 n_samples 1663 confidence 0.55 feature_proportion 0.16934310763701796 n_clusters 47,4661,1663,0.55,0.16934310763701796,47,None,None,1,None,n1707,16301578
1743611770,1743611790,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 4068 n_samples 1216 confidence 0.01 feature_proportion 0.2564442066885531 n_clusters 7,4068,1216,0.01,0.2564442066885531,7,None,None,1,None,n1708,16301604
1743611770,1743611790,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 1847 n_samples 4355 confidence 0.8 feature_proportion 0.9379007804170251 n_clusters 48,1847,4355,0.8,0.9379007804170251,48,None,None,1,None,n1708,16301601
1743611770,1743611790,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size 2399 n_samples 491 confidence 0.55 feature_proportion 0.749581805486232 n_clusters 40,2399,491,0.55,0.749581805486232,40,None,None,1,None,n1714,16301598

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⚠ Job 16301516 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301516/16301516_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301516/16301516_0_log.out
----------------------------------------
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 73, in submitit_main
    parser = argparse.ArgumentParser(description="Run a job")
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/argparse.py", line 1728, in __init__
    self._positionals = add_group(_('positional arguments'))
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py", line 742, in gettext
    return dgettext(_current_domain, message)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py", line 666, in dgettext
    t = translation(domain, _localedirs.get(domain, None))
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py", line 587, in translation
    mofiles = find(domain, localedir, languages, all=True)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py", line 558, in find
    for nelang in _expand_lang(lang):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py", line 212, in _expand_lang
    import locale
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1002, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 945, in _find_spec
  File "<frozen importlib._bootstrap_external>", line 1439, in find_spec
  File "<frozen importlib._bootstrap_external>", line 1411, in _get_spec
  File "<frozen importlib._bootstrap_external>", line 1577, in find_spec
  File "<frozen importlib._bootstrap_external>", line 161, in _path_isfile
  File "<frozen importlib._bootstrap_external>", line 153, in _path_is_mode_type
  File "<frozen importlib._bootstrap_external>", line 147, in _path_stat
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301516/16301516_0_log.err not found


⚠ Job 16301519 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301519/16301519_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301519/16301519_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:32:02,833) - Starting with JobEnvironment(job_id=16301519, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:32:02,838) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301519/16301519_submitted.pkl
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/torch/__init__.py", line 405, in <module>
    from torch._C import *  # noqa: F403
  File "<frozen importlib._bootstrap>", line 216, in _lock_unlock_module
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301519/16301519_0_log.err not found


⚠ Job 16301522 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301522/16301522_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301522/16301522_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:32:02,826) - Starting with JobEnvironment(job_id=16301522, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:32:02,860) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301522/16301522_submitted.pkl
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/torch/__init__.py", line 405, in <module>
    from torch._C import *  # noqa: F403
  File "<frozen importlib._bootstrap>", line 216, in _lock_unlock_module
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301522/16301522_0_log.err not found


⚠ Job 16301525 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301525/16301525_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301525/16301525_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:32:02,834) - Starting with JobEnvironment(job_id=16301525, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:32:02,839) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301525/16301525_submitted.pkl
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/torch/__init__.py", line 405, in <module>
    from torch._C import *  # noqa: F403
  File "<frozen importlib._bootstrap>", line 216, in _lock_unlock_module
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301525/16301525_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301529/16301529_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301531/16301531_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301534/16301534_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301536/16301536_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301538/16301538_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301539/16301539_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301543/16301543_0_log.err not found


⚠ Job 16301547 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301547/16301547_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301547/16301547_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:33:33,325) - Starting with JobEnvironment(job_id=16301547, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:33:33,344) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301547/16301547_submitted.pkl
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/__init__.py", line 161, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/colors.py", line 52, in <module>
    from PIL import Image
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 879, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1012, in get_code
  File "<frozen importlib._bootstrap_external>", line 672, in _compile_bytecode
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301547/16301547_0_log.err not found


⚠ Job 16301552 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301552/16301552_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301552/16301552_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:33:33,326) - Starting with JobEnvironment(job_id=16301552, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:33:33,343) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301552/16301552_submitted.pkl
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/__init__.py", line 161, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/colors.py", line 52, in <module>
    from PIL import Image
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 879, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1012, in get_code
  File "<frozen importlib._bootstrap_external>", line 672, in _compile_bytecode
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301552/16301552_0_log.err not found


⚠ Job 16301556 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301556/16301556_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301556/16301556_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:33:33,325) - Starting with JobEnvironment(job_id=16301556, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:33:33,357) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301556/16301556_submitted.pkl
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/__init__.py", line 161, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/colors.py", line 52, in <module>
    from PIL import Image
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 879, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1012, in get_code
  File "<frozen importlib._bootstrap_external>", line 672, in _compile_bytecode
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301556/16301556_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301559/16301559_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301563/16301563_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301565/16301565_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301568/16301568_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301571/16301571_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301573/16301573_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301575/16301575_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301578/16301578_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301581/16301581_0_log.err not found


⚠ Job 16301585 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301585/16301585_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301585/16301585_0_log.out
----------------------------------------
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 37, in process_job
    env = job_environment.JobEnvironment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/job_environment.py", line 44, in __new__
    return plugins.get_job_environment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 71, in get_job_environment
    envs = get_job_environments()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 88, in get_job_environments
    return {env.name(): env for env in _get_plugins()1]}
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 24, in _get_plugins
    import pkg_resources
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/__init__.py", line 77, in <module>
    __import__('pkg_resources.extern.packaging.specifiers')
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/specifiers.py", line 333, in <module>
    class Specifier(_IndividualSpecifier):
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/specifiers.py", line 428, in Specifier
    _regex = re.compile(r"^\s*" + _regex_str + r"\s*$", re.VERBOSE | re.IGNORECASE)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/re.py", line 251, in compile
    return _compile(pattern, flags)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/re.py", line 303, in _compile
    p = sre_compile.compile(pattern, flags)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_compile.py", line 764, in compile
    p = sre_parse.parse(p, flags)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py", line 950, in parse
    p = _parse_sub(source, state, flags & SRE_FLAG_VERBOSE, 0)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py", line 443, in _parse_sub
    itemsappend(_parse(source, state, verbose, nested + 1,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py", line 831, in _parse
    group = state.opengroup(name)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py", line 86, in opengroup
    self.groupwidths.append(None)
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301585/16301585_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301587/16301587_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301598/16301598_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301601/16301601_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301604/16301604_0_log.err not found


⚠ Job 16301591 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301591/16301591_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301591/16301591_0_log.out
----------------------------------------
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/__init__.py", line 49, in <module>
    from pandas.core.api import (
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/api.py", line 47, in <module>
    from pandas.core.groupby import (
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/groupby/__init__.py", line 1, in <module>
    from pandas.core.groupby.generic import (
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/groupby/generic.py", line 68, in <module>
    from pandas.core.frame import DataFrame
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/frame.py", line 509, in <module>
    class DataFrame(NDFrame, OpsMixin):
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/frame.py", line 2183, in DataFrame
    def to_gbq(
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/util/_decorators.py", line 295, in decorate
    old_sig = inspect.signature(func)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py", line 3247, in signature
    return Signature.from_callable(obj, follow_wrapped=follow_wrapped,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py", line 2995, in from_callable
    return _signature_from_callable(obj, sigcls=cls,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py", line 2456, in _signature_from_callable
    return _signature_from_function(sigcls, obj,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py", line 2366, in _signature_from_function
    return cls(parameters,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py", line 2962, in __init__
    params = OrderedDict((param.name, param) for param in parameters)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py", line 2962, in <genexpr>
    params = OrderedDict((param.name, param) for param in parameters)
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301591/16301591_0_log.err not found


⚠ Job 16301596 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301596/16301596_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301596/16301596_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:35:34,142) - Starting with JobEnvironment(job_id=16301596, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:35:34,146) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301596/16301596_submitted.pkl
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/__init__.py", line 121, in <module>
    from pandas.core.reshape.api import (
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/reshape/api.py", line 21, in <module>
    from pandas.core.reshape.tile import (
  File "<frozen importlib._bootstrap>", line 1024, in _find_and_load
  File "<frozen importlib._bootstrap>", line 174, in __exit__
  File "<frozen importlib._bootstrap>", line 125, in release
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301596/16301596_0_log.err not found

Copy raw data to clipboard

Download »oo_errors.txt« as file

Copy raw data to clipboard

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Current git-hash: 748be6af2e38a3c47ed5b1c8cc0139d9175bbc80 (version: 5373)
Runtime (end): 5 seconds, PID: 2842316
To cancel, press CTRL c, then run 'scancel 16301502'








Run-UUID: 1d0f65ab-5c7f-4baa-917a-bf0e41b13aaf
  ____                  _  ____        _   ___  
 / __ \                (_)/ __ \      | | |__ \ 
| |  | |_ __ ___  _ __  _| |  | |_ __ | |_   ) |
| |  | | '_ ` _ \| '_ \| | |  | | '_ \| __| / / 
| |__| | | | | | | | | | | |__| | |_) | |_ / /_ 
 \____/|_| |_| |_|_| |_|_|\____/| .__/ \__|____|
                                | |             
                                |_|             

omniopt --partition=romeo --experiment_name=CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME --result_names ACCURACY=max RUNTIME=min --mem_gb=64 --time=1440 --worker_timeout=60 --max_eval=500 --num_parallel_jobs=30 --revert_to_random_when_seemingly_exhausted --generate_all_jobs_at_once --decimalrounding=12 --gpus=0 --num_random_steps=20 --send_anonymized_usage_stats --run_program=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 --cpus_per_task=1 --model=BOTORCH_MODULAR --run_mode=local --live_share --parameter recent_samples_size range 1 5000 int --parameter n_samples range 1 5000 int --parameter confidence choice 0.85,0.8,0.75,0.7,0.65,0.6,0.55,0.5,0.45,0.4,0.35,0.3,0.25,0.2,0.15,0.1,0.05,0.025,0.01,0.005,0.001,0.0001 --parameter feature_proportion range 0.001 0.999 float --parameter n_clusters range 1 50 int
Run-folder: runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0
Warning: --num_random_steps is smaller than --num_parallel_jobs. It's recommended that --num_parallel_jobs is the same as or a multiple of --num_random_steps
You have 2 CPUs available for the main process. No CUDA devices found. Generation strategy: Sobol for 30 trials, BoTorch for subsequent trials.
Run-Program: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CSDDM recent_samples_size %(recent_samples_size) n_samples %(n_samples) confidence %(confidence) feature_proportion %(feature_proportion) n_clusters %(n_clusters)
                                                                                         Experiment parameters:                                                                                         
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name                ┃ Type   ┃ Lower bound ┃ Upper bound ┃ Values                                                                                                               ┃ Type  ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ recent_samples_size │ range  │ 1           │ 5000        │                                                                                                                      │ int   │ No         │
│ n_samples           │ range  │ 1           │ 5000        │                                                                                                                      │ int   │ No         │
│ confidence          │ choice │             │             │ 0.0001, 0.001, 0.005, 0.01, 0.025, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6, 0.65, 0.7,      │       │            │
│                     │        │             │             │ 0.75, 0.8, 0.85                                                                                                      │       │            │
│ feature_proportion  │ range  │ 0.001       │ 0.999       │                                                                                                                      │ float │ No         │
│ n_clusters          │ range  │ 1           │ 50          │                                                                                                                      │ int   │ No         │
└─────────────────────┴────────┴─────────────┴─────────────┴──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┴───────┴────────────┘
        Result-Names:        
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ ACCURACY    │         max │
│ RUNTIME     │         min │
└─────────────┴─────────────┘
See https://imageseg.scads.de/omniax/share?user_id=s4122485&experiment_name=CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME&run_nr=9 for live-results.

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Failed jobs: 1 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output, 'RUNTIME: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, failed/completed/running/pending 3/4/3/19 (97%/30), job_failed:   0%|░░░░░░░░░░| 0/500 02:09<?, ?it/s]
⚠ Job 16301516 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301516/16301516_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301516/16301516_0_log.out
----------------------------------------
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 73, in submitit_main
    parser = argparse.ArgumentParser(description="Run a job")
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/argparse.py", line 1728, in __init__
    self._positionals = add_group(_('positional arguments'))
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py", line 742, in gettext
    return dgettext(_current_domain, message)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py", line 666, in dgettext
    t = translation(domain, _localedirs.get(domain, None))
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py", line 587, in translation
    mofiles = find(domain, localedir, languages, all=True)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py", line 558, in find
    for nelang in _expand_lang(lang):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py", line 212, in _expand_lang
    import locale
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1002, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 945, in _find_spec
  File "<frozen importlib._bootstrap_external>", line 1439, in find_spec
  File "<frozen importlib._bootstrap_external>", line 1411, in _get_spec
  File "<frozen importlib._bootstrap_external>", line 1577, in find_spec
  File "<frozen importlib._bootstrap_external>", line 161, in _path_isfile
  File "<frozen importlib._bootstrap_external>", line 153, in _path_is_mode_type
  File "<frozen importlib._bootstrap_external>", line 147, in _path_stat
KeyboardInterrupt


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301516/16301516_0_log.err not found

⚠ Job 16301519 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301519/16301519_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301519/16301519_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:32:02,833) - Starting with JobEnvironment(job_id=16301519, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:32:02,838) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301519/16301519_submitted.pkl
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/torch/__init__.py", line 405, in <module>
    from torch._C import *  # noqa: F403
  File "<frozen importlib._bootstrap>", line 216, in _lock_unlock_module
KeyboardInterrupt


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301519/16301519_0_log.err not found
Failed jobs: 10 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output, 'RUNTIME: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, completed/failed/pending 1/3/16 (67%/30), job_failed:   0%|░░░░░░░░░░| 0/500 03:04<?, ?it/s]
⚠ Job 16301522 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301522/16301522_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301522/16301522_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:32:02,826) - Starting with JobEnvironment(job_id=16301522, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:32:02,860) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301522/16301522_submitted.pkl
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/torch/__init__.py", line 405, in <module>
    from torch._C import *  # noqa: F403
  File "<frozen importlib._bootstrap>", line 216, in _lock_unlock_module
KeyboardInterrupt


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301522/16301522_0_log.err not found

⚠ Job 16301525 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301525/16301525_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301525/16301525_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:32:02,834) - Starting with JobEnvironment(job_id=16301525, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:32:02,839) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301525/16301525_submitted.pkl
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/torch/__init__.py", line 405, in <module>
    from torch._C import *  # noqa: F403
  File "<frozen importlib._bootstrap>", line 216, in _lock_unlock_module
KeyboardInterrupt


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301525/16301525_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301529/16301529_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301531/16301531_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301534/16301534_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301536/16301536_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301538/16301538_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301539/16301539_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301543/16301543_0_log.err not found
Failed jobs: 12 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output, 'RUNTIME: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, failed/pending 2/16 (60%/30), job_failed:   0%|░░░░░░░░░░| 0/500 03:41<?, ?it/s]
⚠ Job 16301547 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301547/16301547_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301547/16301547_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:33:33,325) - Starting with JobEnvironment(job_id=16301547, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:33:33,344) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301547/16301547_submitted.pkl
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/__init__.py", line 161, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/colors.py", line 52, in <module>
    from PIL import Image
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 879, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1012, in get_code
  File "<frozen importlib._bootstrap_external>", line 672, in _compile_bytecode
KeyboardInterrupt


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301547/16301547_0_log.err not found

⚠ Job 16301552 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301552/16301552_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301552/16301552_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:33:33,326) - Starting with JobEnvironment(job_id=16301552, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:33:33,343) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301552/16301552_submitted.pkl
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/__init__.py", line 161, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/colors.py", line 52, in <module>
    from PIL import Image
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 879, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1012, in get_code
  File "<frozen importlib._bootstrap_external>", line 672, in _compile_bytecode
KeyboardInterrupt


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301552/16301552_0_log.err not found
Failed jobs: 22 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output, 'RUNTIME: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, running/failed/pending 2/1/5 (27%/30), job_failed:   0%|░░░░░░░░░░| 0/500 04:24<?, ?it/s]
⚠ Job 16301556 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301556/16301556_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301556/16301556_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:33:33,325) - Starting with JobEnvironment(job_id=16301556, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:33:33,357) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301556/16301556_submitted.pkl
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/__init__.py", line 161, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/colors.py", line 52, in <module>
    from PIL import Image
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 879, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1012, in get_code
  File "<frozen importlib._bootstrap_external>", line 672, in _compile_bytecode
KeyboardInterrupt


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301556/16301556_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301559/16301559_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301563/16301563_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301565/16301565_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301568/16301568_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301571/16301571_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301573/16301573_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301575/16301575_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301578/16301578_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301581/16301581_0_log.err not found
Failed jobs: 28 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output, 'RUNTIME: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, failed 2 (7%/30), waiting for old jobs to finish (2 left):   0%|░░░░░░░░░░| 0/500 06:27<?, ?it/s]
⚠ Job 16301585 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301585/16301585_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301585/16301585_0_log.out
----------------------------------------
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 37, in process_job
    env = job_environment.JobEnvironment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/job_environment.py", line 44, in __new__
    return plugins.get_job_environment()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 71, in get_job_environment
    envs = get_job_environments()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 88, in get_job_environments
    return {env.name(): env for env in _get_plugins()1]}
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py", line 24, in _get_plugins
    import pkg_resources
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/__init__.py", line 77, in <module>
    __import__('pkg_resources.extern.packaging.specifiers')
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/specifiers.py", line 333, in <module>
    class Specifier(_IndividualSpecifier):
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/specifiers.py", line 428, in Specifier
    _regex = re.compile(r"^\s*" + _regex_str + r"\s*$", re.VERBOSE | re.IGNORECASE)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/re.py", line 251, in compile
    return _compile(pattern, flags)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/re.py", line 303, in _compile
    p = sre_compile.compile(pattern, flags)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_compile.py", line 764, in compile
    p = sre_parse.parse(p, flags)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py", line 950, in parse
    p = _parse_sub(source, state, flags & SRE_FLAG_VERBOSE, 0)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py", line 443, in _parse_sub
    itemsappend(_parse(source, state, verbose, nested + 1,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py", line 831, in _parse
    group = state.opengroup(name)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py", line 86, in opengroup
    self.groupwidths.append(None)
KeyboardInterrupt


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301585/16301585_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301587/16301587_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301598/16301598_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301601/16301601_0_log.err not found

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301604/16301604_0_log.err not found
Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output, 'RUNTIME: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, finished 0 jobs:   0%|░░░░░░░░░░| 0/500 07:10<?, ?it/s]
⚠ Job 16301591 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301591/16301591_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301591/16301591_0_log.out
----------------------------------------
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/__init__.py", line 49, in <module>
    from pandas.core.api import (
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/api.py", line 47, in <module>
    from pandas.core.groupby import (
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/groupby/__init__.py", line 1, in <module>
    from pandas.core.groupby.generic import (
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/groupby/generic.py", line 68, in <module>
    from pandas.core.frame import DataFrame
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/frame.py", line 509, in <module>
    class DataFrame(NDFrame, OpsMixin):
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/frame.py", line 2183, in DataFrame
    def to_gbq(
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/util/_decorators.py", line 295, in decorate
    old_sig = inspect.signature(func)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py", line 3247, in signature
    return Signature.from_callable(obj, follow_wrapped=follow_wrapped,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py", line 2995, in from_callable
    return _signature_from_callable(obj, sigcls=cls,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py", line 2456, in _signature_from_callable
    return _signature_from_function(sigcls, obj,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py", line 2366, in _signature_from_function
    return cls(parameters,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py", line 2962, in __init__
    params = OrderedDict((param.name, param) for param in parameters)
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py", line 2962, in <genexpr>
    params = OrderedDict((param.name, param) for param in parameters)
KeyboardInterrupt


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301591/16301591_0_log.err not found

⚠ Job 16301596 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301596/16301596_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301596/16301596_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:35:34,142) - Starting with JobEnvironment(job_id=16301596, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:35:34,146) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301596/16301596_submitted.pkl
Traceback (most recent call last):
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py", line 11, in <module>
    submitit_main()
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 76, in submitit_main
    process_job(args.folder)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py", line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 153, in load
    obj = pickle_load(filepath)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py", line 232, in pickle_load
    return pickle.load(ifile)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py", line 469, in subimport
    __import__(name)
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/__init__.py", line 121, in <module>
    from pandas.core.reshape.api import (
  File "/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/reshape/api.py", line 21, in <module>
    from pandas.core.reshape.tile import (
  File "<frozen importlib._bootstrap>", line 1024, in _find_and_load
  File "<frozen importlib._bootstrap>", line 174, in __exit__
  File "<frozen importlib._bootstrap>", line 125, in release
KeyboardInterrupt


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301596/16301596_0_log.err not found
Failed jobs: 30 ('ACCURACY: <number>' not found in output, 'RUNTIME: <number>' not found in output, 'RUNTIME: <number>' not found in output, 'RUNTIME: <number>' not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left):   0%|░░░░░░░░░░| 0/500 13:03<?, ?it/s]

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

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Download »worker_usage.csv« as file

1743611471.8726094,30,0,0
1743611472.0508149,30,0,0
1743611472.1773012,30,0,0
1743611472.2182925,30,0,0
1743611472.2325335,30,0,0
1743611472.8413708,30,0,0
1743611473.447567,30,0,0
1743611474.0842175,30,0,0
1743611474.7124593,30,0,0
1743611475.3494623,30,0,0
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1743611477.3424077,30,0,0
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1743611478.5393796,30,0,0
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1743611480.255305,30,0,0
1743611480.864085,30,0,0
1743611481.2762005,30,0,0
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1743611483.964265,30,0,0
1743611484.398724,30,0,0
1743611484.8330975,30,0,0
1743611485.2702398,30,0,0
1743611485.7105784,30,0,0
1743611486.153248,30,0,0
1743611486.5970933,30,0,0
1743611487.0470626,30,0,0
1743611487.4967272,30,0,0
1743611488.085844,30,0,0
1743611488.4297986,30,0,0
1743611490.4660609,30,1,3
1743611490.553171,30,1,3
1743611490.892695,30,1,3
1743611492.835669,30,2,7
1743611492.8565903,30,2,7
1743611493.3982353,30,2,7
1743611495.6663637,30,3,10
1743611495.686511,30,3,10
1743611496.2352881,30,3,10
1743611498.8798351,30,4,13
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1743611675.163378,30,19,63
1743611693.1859295,30,18,60
1743611710.2699642,30,17,57
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1743611720.9888659,30,13,43
1743611724.7176006,30,12,40
1743611728.3184297,30,11,37
1743611731.5467365,30,10,33
1743611734.3950274,30,9,30
1743611736.6714303,30,8,27
1743611753.7371488,30,7,23
1743611755.917067,30,6,20
1743611759.8162043,30,5,17
1743611759.9828641,30,5,17
1743611762.1693077,30,5,17
1743611763.3882253,30,5,17
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1743611799.690384,30,4,13
1743611802.3363383,30,3,10
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1743611851.4832466,30,2,7
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1743611898.1897173,30,1,3
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1743611923.9028497,30,1,3
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1743611924.5462446,30,1,3
1743611927.2831705,30,2,7
1743611927.3553216,30,2,7
1743611927.9865496,30,2,7
1743611930.771265,30,3,10
1743611930.8654022,30,3,10
1743611931.481232,30,3,10
1743611934.193039,30,4,13
1743611934.2747362,30,4,13
1743611934.8564699,30,4,13
1743611937.031842,30,5,17
1743611937.078861,30,5,17
1743611937.4419227,30,5,17
1743611939.384599,30,6,20
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1743611939.796294,30,6,20
1743611941.6633554,30,7,23
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1743611944.0202806,30,8,27
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1743611950.3462663,30,10,33
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1743611951.0196447,30,10,33
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1743611953.8456798,30,11,37
1743611954.4605267,30,11,37
1743611957.3087585,30,12,40
1743611957.379574,30,12,40
1743611958.0002563,30,12,40
1743611960.6625836,30,13,43
1743611960.711038,30,13,43
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1743611963.502356,30,14,47
1743611965.4114764,30,15,50
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1743611970.0516634,30,17,57
1743611970.117115,30,17,57
1743611970.6845717,30,17,57
1743611974.4585948,30,18,60
1743611974.5296435,30,18,60
1743611975.1303554,30,18,60
1743611977.9140172,30,19,63
1743611977.987194,30,19,63
1743611978.609251,30,19,63
1743611981.4865267,30,20,67
1743611981.562221,30,20,67
1743611982.0798633,30,20,67
1743611984.218069,30,21,70
1743611984.2657502,30,21,70
1743611984.629411,30,21,70
1743611986.7298238,30,22,73
1743611986.7773879,30,22,73
1743611987.1378462,30,22,73
1743611989.489008,30,23,77
1743611989.536707,30,23,77
1743611989.9029768,30,23,77
1743611991.732261,30,24,80
1743611991.7801797,30,24,80
1743611992.1430542,30,24,80
1743611994.198205,30,25,83
1743611994.2631068,30,25,83
1743611994.8483586,30,25,83
1743611997.5584345,30,26,87
1743611997.6315286,30,26,87
1743611998.237236,30,26,87
1743612001.2906117,30,27,90
1743612001.3806705,30,27,90
1743612002.0022848,30,27,90
1743612004.9219446,30,28,93
1743612005.0016441,30,28,93
1743612005.5937107,30,28,93
1743612007.7467248,30,29,97
1743612007.7943716,30,29,97
1743612008.159645,30,29,97
1743612010.1872246,30,30,100
1743612045.8446267,30,30,100
1743612046.102074,30,30,100
1743612086.279177,30,30,100

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Download »cpu_ram_usage.csv« as file

timestamp,ram_usage_mb,cpu_usage_percent
1743611465,578.58203125,19.1
1743611471,578.83984375,18.4
1743611471,578.83984375,18.2
1743611471,578.83984375,15.8
1743611471,578.83984375,19.5
1743611472,578.83984375,18.2
1743611472,578.83984375,20.9
1743611763,594.203125,17.5
1743611763,594.203125,9.7
1743611763,594.203125,17.7
1743611763,594.203125,10.7
1743612087,599.69140625,17.3
1743612087,599.69140625,18.8
1743612087,599.69140625,17.2
1743612087,599.69140625,18.9

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

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Download »export.html« as file

<!DOCTYPE html>
<html lang='en'>
	<head>
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		<meta name='viewport' content='width=device-width, initial-scale=1.0'>
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				min-width: 100%;
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				display: inline-block;
				padding: 5px 5px;
				background-color: #007bff; /* Blau, kannst du anpassen */
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				text-decoration: none;
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				border-top-color: rgb(145, 155, 156);
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			select {
				border: 1px solid #7f9db9;
				background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 -0.5 15 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e6eefc' d='M0 0h1'/%3E%3Cpath stroke='%23d1e0fd' d='M1 0h1M0 1h1m3 0h2M2 3h1M2 4h1'/%3E%3Cpath stroke='%23cad8f9' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23c4d3f7' d='M3 0h1M0 3h1M0 4h1'/%3E%3Cpath stroke='%23bfd0f8' d='M4 0h2M0 5h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 0h1M0 6h1'/%3E%3Cpath stroke='%23baccf4' d='M7 0h1m6 2h1m-1 5h1m-1 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M8 0h1M0 7h1M0 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M9 0h2M0 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 0h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 0h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 0h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 0h1'/%3E%3Cpath stroke='%23e1eafe' d='M1 1h1'/%3E%3Cpath stroke='%23dae6fe' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23d4e1fc' d='M3 1h1M1 3h1M1 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M6 1h1M1 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M7 1h1M4 2h2'/%3E%3Cpath stroke='%23cad9fd' d='M8 1h1M6 2h1M3 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M9 1h2'/%3E%3Cpath stroke='%23c5d6fc' d='M11 1h1M2 11h4'/%3E%3Cpath stroke='%23c2d3fc' d='M12 1h1m-2 1h1M1 11h1m0 1h2m-2 1h2'/%3E%3Cpath stroke='%23bccefa' d='M13 1h1m-1 1h1m-1 1h1m-1 1h1M3 15h4'/%3E%3Cpath stroke='%23b9c9f3' d='M14 1h1M3 16h4'/%3E%3Cpath stroke='%23d8e3fc' d='M2 2h1'/%3E%3Cpath stroke='%23d1defd' d='M3 2h1'/%3E%3Cpath stroke='%23c9d8fc' d='M7 2h1M4 3h3M4 4h3M3 6h1m1 0h2M1 7h1M1 8h1'/%3E%3Cpath stroke='%23c5d5fc' d='M8 2h1m-8 8h5'/%3E%3Cpath stroke='%23c5d3fc' d='M9 2h2'/%3E%3Cpath stroke='%23bed0fc' d='M12 2h1M8 3h1M8 4h1m-8 8h1m-1 1h1m0 1h1m1 0h3'/%3E%3Cpath stroke='%23cddbfc' d='M3 3h1M3 4h1M1 6h2'/%3E%3Cpath stroke='%23c8d5fb' d='M7 3h1M7 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M9 3h4M9 4h4M8 5h1M7 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 3h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23ceddfd' d='M2 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M4 5h4M1 9h3'/%3E%3Cpath stroke='%23bacdfc' d='M9 5h2m1 0h2M1 14h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M8 6h2m2 0h2m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%234d6185' d='M4 6h1m5 0h1M3 7h3m3 0h3M4 8h3m1 0h3M5 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1m-1 1h1'/%3E%3Cpath stroke='%23cad8fd' d='M2 7h1M2 8h2'/%3E%3Cpath stroke='%23c1d3fb' d='M6 7h2M7 8h1M4 9h1'/%3E%3Cpath stroke='%23b6cefb' d='M8 7h1m2 1h1m-2 1h3m-2 1h2'/%3E%3Cpath stroke='%23b6cdfb' d='M13 9h1m-6 6h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 9h1'/%3E%3Cpath stroke='%23b4c8f6' d='M0 10h1'/%3E%3Cpath stroke='%23bdd3fb' d='M9 10h2m-4 4h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 10h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 10h1'/%3E%3Cpath stroke='%23b1c7f6' d='M0 11h1'/%3E%3Cpath stroke='%23c3d5fd' d='M6 11h1'/%3E%3Cpath stroke='%23bad4fc' d='M8 11h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M9 11h4m-2 3h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 11h1m-3 4h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 11h1m-7 5h3'/%3E%3Cpath stroke='%23adc3f6' d='M0 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c2d5fc' d='M4 12h4m-4 1h4'/%3E%3Cpath stroke='%23b7d3fc' d='M9 12h2m-2 1h2m-3 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 12h1m-1 1h1'/%3E%3Cpath stroke='%23afcdfb' d='M12 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afcbfa' d='M13 12h1m-1 1h1'/%3E%3Cpath stroke='%23b2c8f4' d='M14 12h1m-1 1h1m-4 3h1'/%3E%3Cpath stroke='%23c1d2fb' d='M3 14h1'/%3E%3Cpath stroke='%23b6d1fb' d='M9 14h2'/%3E%3Cpath stroke='%23adc9f9' d='M13 14h1m-2 1h1'/%3E%3Cpath stroke='%23b1c6f3' d='M14 14h1m-3 2h1'/%3E%3Cpath stroke='%23abc1f4' d='M0 15h1'/%3E%3Cpath stroke='%23b7cbf9' d='M1 15h1'/%3E%3Cpath stroke='%23b9cefb' d='M2 15h1'/%3E%3Cpath stroke='%23b9cffb' d='M7 15h1'/%3E%3Cpath stroke='%23b2cdfb' d='M9 15h2'/%3E%3Cpath stroke='%23aec8f7' d='M13 15h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 15h1m-2 1h1'/%3E%3Cpath stroke='%23dbe3f8' d='M0 16h1'/%3E%3Cpath stroke='%23b7c6f1' d='M1 16h1'/%3E%3Cpath stroke='%23b8c9f2' d='M2 16h1m4 0h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 16h1'/%3E%3C/svg%3E");
				background-size: 15px;
				font-size: 11px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				height: 21px;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				position: relative;
				padding: 5px 32px 32px 5px;
				background-position: top 50% right 2px;
				background-repeat: no-repeat;
				border-radius: 0;
				border: 1px solid black;
			}
			

			body {
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
				background-color: #fafafa;
				font-variant: oldstyle-nums;
				text-shadow: 0 0.05em 0.1em rgba(0,0,0,0.2);
				scroll-behavior: smooth;
				text-wrap: balance;
				text-rendering: optimizeLegibility;
				-webkit-font-smoothing: antialiased;
				-moz-osx-font-smoothing: grayscale;
				font-feature-settings: "ss02", "liga", "onum";
			}
			
			.marked_text {
				background-color: yellow;
			}
			
			.time_picker_container {
				font-variant: small-caps;
				width: 100%;
			}
			
			.time_picker_container > input {
				width: 50px;
			}
			
			#loader {
				display: grid;
				justify-content: center;
				align-items: center;
				height: 100%;
			}
			
			.no_linebreak {
				line-break: auto;
			}
			
			.dark_code_bg {
				background-color: #363636;
				color: white;
			}
			
			.code_bg {
				background-color: #C0C0C0;
			}
			
			#commands {
				line-break: anywhere;
			}
			
			.color_red {
				color: red;
			}
			
			.color_orange {
				color: orange;
			}
			
			table > tbody > tr:nth-child(odd) {
				background-color: #fafafa;
			}
			
			table > tbody > tr:nth-child(even) {
				background-color: #ddd;
			}
			
			table {
				border-collapse: collapse;
				margin: 25px 0;
				min-width: 200px;
			}
			
			th {
				background-color: #4eae46;
				color: #ffffff;
				text-align: left;
				border: 0px;
			}
			
			.error_element {
				background-color: #e57373;
				border-radius: 10px;
				padding: 4px;
				display: none;
			}
			
			button {
				background-color: #4eae46;
				border: 1px solid #2A8387;
				border-radius: 4px;
				box-shadow: rgba(0, 0, 0, 0.12) 0 1px 1px;
				cursor: pointer;
				display: block;
				line-height: 100%;
				outline: 0;
				padding: 11px 15px 12px;
				text-align: center;
				transition: box-shadow .05s ease-in-out, opacity .05s ease-in-out;
				user-select: none;
				-webkit-user-select: none;
				touch-action: manipulation;
			}
			
			button:hover {
				box-shadow: rgba(255, 255, 255, 0.3) 0 0 2px inset, rgba(0, 0, 0, 0.4) 0 1px 2px;
				text-decoration: none;
				transition-duration: .15s, .15s;
			}
			
			button:active {
				box-shadow: rgba(0, 0, 0, 0.15) 0 2px 4px inset, rgba(0, 0, 0, 0.4) 0 1px 1px;
			}
			
			button:disabled {
				cursor: not-allowed;
				opacity: .6;
			}
			
			button:disabled:active {
				pointer-events: none;
			}
			
			button:disabled:hover {
				box-shadow: none;
			}
			
			.half_width_td {
				vertical-align: baseline;
				width: 50%;
			}
			
			#scads_bar {
				width: 100%;
				min-height: 80px;
				margin: 0;
				padding: 0;
				user-select: none;
				user-drag: none;
				-webkit-user-drag: none;
				user-select: none;
				-moz-user-select: none;
				-webkit-user-select: none;
				-ms-user-select: none;
				display: -webkit-box;
			}
			
			.tab {
				display: inline-block;
				padding: 0px;
				margin: 0px;
				font-size: 16px;
				font-weight: bold;
				text-align: center;
				border-radius: 25px;
				text-decoration: none !important;
				transition: background-color 0.3s, color 0.3s;
				color: unset !important;
			}
			
			.tooltipster-base {
				border: 1px solid black;
				position: absolute;
				border-radius: 8px;
				padding: 2px;
				color: white;
				background-color: #61686f;
				width: 70%;
				min-width: 200px;
				pointer-events: none;
			}
			
			td {
				padding-top: 3px;
				padding-bottom: 3px;
			}
			
			.left_side {
				text-align: right;
			}
			
			.right_side {
				text-align: left;
			}
			
			.spinner {
				border: 8px solid rgba(0, 0, 0, 0.1);
				border-left: 8px solid #3498db;
				border-radius: 50%;
				width: 50px;
				height: 50px;
				animation: spin 1s linear infinite;
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			#spinner-overlay {
				-webkit-text-stroke: 1px black;
				white !important;
				position: fixed;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				display: flex;
				justify-content: center;
				align-items: center;
				z-index: 9999;
			}
			
			#spinner-container {
				text-align: center;
				color: #fff;
				display: contents;
			}
			
			#spinner-text {
				font-size: 3vw;
				margin-left: 10px;
			}
			
			a, a:visited, a:active, a:hover, a:link {
				color: #007bff;
				text-decoration: none;
			}
			
			.copy-container {
				display: inline-block;
				position: relative;
				cursor: pointer;
				margin-left: 10px;
				color: blue;
			}
			
			.copy-container:hover {
				text-decoration: underline;
			}
			
			.clipboard-icon {
				position: absolute;
				top: 5px;
				right: 5px;
				font-size: 1.5em;
			}
			
			#main_tab {
				overflow: scroll;
				width: max-content;
			}
			
			.ui-tabs .ui-tabs-nav li {
				user-select: none;
			}
			
			.stacktrace_table {
				background-color: black !important;
				color: white !important;
			}
			
			#breadcrumb {
				user-select: none;
			}
			
			#statusBar {
				user-select: none;
			}
			
			.error_line {
				background-color: red !important;
				color: white !important;
			}
			
			.header_table {
				border: 0px !important;
				padding: 0px !important;
				width: revert !important;
				min-width: revert !important;
			}
			
			.img_auto_width {
				max-width: revert !important;
			}
			
			#main_dir_or_plot_view {
				display: inline-grid;
			}
			
			#refresh_button {
				width: 300px;
			}
			
			._share_link {
				color: black !important;
			}
			
			#footer_element {
				height: 30px;
				background-color: #f8f9fa;
				padding: 0px;
				text-align: center;
				border-top: 1px solid #dee2e6;
				width: 100%;
				box-sizing: border-box;
				position: fixed;
				bottom: 0;
				z-index: 2;
				margin-left: -9px;
				z-index: 99;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 50px;
				height: 26px;
			}
			
			.switch input {
				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
			}
			
			.slider:before {
				position: absolute;
				content: "";
				height: 20px;
				width: 20px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #444;
			}
			
			input:checked + .slider:before {
				transform: translateX(24px);
			}
			
			.mode-text {
				position: absolute;
				top: 5px;
				left: 65px;
				font-size: 14px;
				color: black;
				transition: .4s;
				width: 60px;
				display: block;
				font-size: 0.7rem;
				text-align: center;
			}
			
			input:checked + .slider .mode-text {
				content: "Dark Mode";
				color: white;
			}
			
			#mainContent {
				height: fit-content;
				min-height: 100%;
			}
			
			li {
				text-align: left;
			}
			
			#share_path {
				margin-bottom: 20px;
				margin-top: 20px;
			}
			
			#sortForm {
				margin-bottom: 20px;
			}
			
			.share_folder_buttons {
				margin-top: 10px;
				margin-bottom: 10px;
			}
			
			.nav_tab_button {
				margin: 10px;
			}
			
			.header_table {
				margin: 10px;
			}
			
			.no_border {
				border: unset !important;
			}
			
			.gui_table {
				padding: 5px !important;
			}
			
			.gui_parameter_row {
			}
			
			.gui_parameter_row_cell {
				border: unset !important;
			}
			
			.gui_param_table {
				width: 95%;
				margin: unset !important;
			}
			
			table td, table tr,
			.parameterRow table {
				padding: 2px !important;
			}
			
			.parameterRow table {
				margin: 0px;
				border: unset;
			}
			
			.parameterRow > td {
				border: 0px !important;
			}
			
			.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
				border: 0px !important;
			}
			
			.green_text {
				color: green;
			}
			
			.remove_parameter {
				white-space: pre;
			}
			
			select {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				background-color: #fff;
				color: #222;
				padding: 5px 30px 5px 5px;
				border: 1px solid #555;
				border-radius: 5px;
				cursor: pointer;
				outline: none;
				transition: all 0.3s ease;
				background:
					url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
					no-repeat right 10px center,
				linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
				background-size: 12px, auto;
			}
			
			select:hover {
				border-color: #888;
			}
			
			select:focus {
				border-color: #4caf50;
				box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
			}
			
			select::-ms-expand {
				display: none;
			}
			
			input, textarea {
				border-radius: 5px;
			}
			
			#search {
				width: 200px;
				max-width: 70%;
				background-image: url(images/search.svg);
				background-repeat: no-repeat;
				background-size: auto 40px;
				height: 40px;
				line-height: 40px;
				padding-left: 40px;
				box-sizing: border-box;
			}
			
			input[type="checkbox"] {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				width: 25px;
				height: 25px;
				border: 2px solid #3498db;
				border-radius: 5px;
				background-color: #fff;
				position: relative;
				cursor: pointer;
				transition: all 0.3s ease;
				width: 25px !important;
			}
			
			input[type="checkbox"]:checked {
				background-color: #3498db;
				border-color: #2980b9;
			}
			
			input[type="checkbox"]:checked::before {
				content: '✔';
				position: absolute;
				left: 4px;
				top: 2px;
				color: #fff;
			}
			
			input[type="checkbox"]:hover {
				border-color: #2980b9;
				background-color: #3caffc;
			}
			
			.toc {
				margin-bottom: 20px;
			}
			
			.toc li {
				margin-bottom: 5px;
			}
			
			.toc a {
				text-decoration: none;
				color: #007bff;
			}
			
			.toc a:hover {
				text-decoration: underline;
			}
			
			.table-container {
				width: 100%;
				overflow-x: auto;
			}
			
			.section-header {
				background-color: #1d6f9a !important;
				color: white;
			}
			
			.warning {
				color: red;
			}
			
			.li_list a {
				text-decoration: none;
				color: #007bff;
			}
			
			.gridjs-td {
				white-space: nowrap;
			}
			
			th, td {
				border: 1px solid gray !important;
			}
			
			.no_border {
				border: 0px !important;
			}
			
			.no_break {
			
			}
			
			img {
				user-select: none;
				pointer-events: none;
			}
			
			#config_table, #hidden_config_table {
				user-select: none;
			}
			
			.copy_clipboard_button {
				margin-bottom: 10px;
			}
			
			.badge_table {
				background-color: unset !important;
			}
			
			.make_markable {
				user-select: text;
			}
			
			.header-container {
				display: flex;
				flex-wrap: wrap;
				align-items: center;
				justify-content: space-between;
				gap: 1rem;
				padding: 10px;
				background: var(--header-bg, #fff);
				border-bottom: 1px solid #ccc;
			}
			
			.header-logo-group {
				display: flex;
				gap: 1rem;
				align-items: center;
				flex: 1 1 auto;
				min-width: 200px;
			}
			
			.logo-img {
				max-height: 45px;
				height: auto;
				width: auto;
				object-fit: contain;
				pointer-events: unset;
			}
			
			.header-badges {
				flex-direction: column;
				gap: 5px;
				align-items: flex-start;
				flex: 0 1 auto;
				margin-top: auto;
				margin-bottom: auto;
			}
			
			.badge-img {
				height: auto;
				max-width: 130px;
			}
			
			.header-tabs {
				margin-top: 10px;
				display: flex;
				flex-wrap: wrap;
				gap: 10px;
				flex: 2 1 100%;
				justify-content: center;
			}
			
			.nav-tab {
				display: inline-block;
				text-decoration: none;
				padding: 8px 16px;
				border-radius: 20px;
				background: linear-gradient(to right, #4a90e2, #357ABD);
				color: white;
				font-weight: bold;
				white-space: nowrap;
				transition: background 0.2s ease-in-out, transform 0.2s;
				box-shadow: 0 2px 4px rgba(0,0,0,0.2);
			}
			
			.nav-tab:hover {
				background: linear-gradient(to right, #5aa0f2, #4a90e2);
				transform: translateY(-2px);
			}
			
			.current-tag {
				padding-left: 10px;
				font-size: 0.9rem;
				color: #666;
			}
			
			.header-theme-toggle {
				flex: 1 1 auto;
				align-items: center;
				margin-top: 20px;
				min-width: 120px;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 60px;
				height: 30px;
			}
			
			.switch input {
				display: none;
			}
			
			.slider {
				position: absolute;
				top: 0; left: 0; right: 0; bottom: 0;
				background-color: #ccc;
				border-radius: 34px;
				cursor: pointer;
			}
			
			.slider::before {
				content: "";
				position: absolute;
				height: 24px;
				width: 24px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #2196F3;
			}
			
			input:checked + .slider::before {
				transform: translateX(30px);
			}
			
			@media (max-width: 768px) {
				.header-logo-group,
				.header-badges,
				.header-theme-toggle {
					justify-content: center;
					flex: 1 1 100%;
					text-align: center;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					font-size: 2em;
				}
			}
			
			.header_button {
				margin-top: 20px;
				margin: 5px;
			}
			
			.line_break_anywhere {
				line-break: anywhere;
			}
			
			.responsive-container {
				display: flex;
				flex-wrap: wrap;
				justify-content: space-between;
				gap: 20px;
			}
			
			.responsive-container .half {
				flex: 1 1 48%;
				box-sizing: border-box;
				min-width: 500px;
			}
			
			.config-section table {
				width: 100%;
				border-collapse: collapse;
			}
			
			@media (max-width: 768px) {
				.responsive-container .half {
					flex: 1 1 100%;
				}
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			.rotate {
				animation: spin 2s linear infinite;
				display: inline-block;
			}
			

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

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

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

			var result_names = [
			    "ACCURACY",
			    "RUNTIME"
			];
			var result_min_max = [
			    "max",
			    "min"
			];
			var tab_results_headers_json = [
			    "trial_index",
			    "arm_name",
			    "trial_status",
			    "generation_method",
			    "generation_node",
			    "recent_samples_size",
			    "n_samples",
			    "confidence",
			    "feature_proportion",
			    "n_clusters"
			];
			var tab_results_csv_json = [
			    [
			        0,
			        "0_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        364,
			        3285,
			        0.7,
			        0.8667839829921722,
			        3
			    ],
			    [
			        1,
			        "1_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        3050,
			        1417,
			        0.001,
			        0.4366529782414436,
			        43
			    ],
			    [
			        2,
			        "2_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        4255,
			        4080,
			        0.6,
			        0.56717201240547,
			        32
			    ],
			    [
			        3,
			        "3_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        1708,
			        947,
			        0.3,
			        0.12938290288113058,
			        16
			    ],
			    [
			        4,
			        "4_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        2251,
			        4839,
			        0.005,
			        0.06617759216018021,
			        24
			    ],
			    [
			        5,
			        "5_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        4952,
			        451,
			        0.75,
			        0.6303173618074507,
			        33
			    ],
			    [
			        6,
			        "6_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        3603,
			        2799,
			        0.1,
			        0.3736464083604515,
			        45
			    ],
			    [
			        7,
			        "7_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        1071,
			        2186,
			        0.4,
			        0.9298505383580923,
			        10
			    ],
			    [
			        8,
			        "8_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        864,
			        3818,
			        0.1,
			        0.7056012859381735,
			        39
			    ],
			    [
			        9,
			        "9_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        3174,
			        701,
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			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1743611465,
			        578.58203125,
			        19.1
			    ],
			    [
			        1743611471,
			        578.83984375,
			        18.4
			    ],
			    [
			        1743611471,
			        578.83984375,
			        18.2
			    ],
			    [
			        1743611471,
			        578.83984375,
			        15.8
			    ],
			    [
			        1743611471,
			        578.83984375,
			        19.5
			    ],
			    [
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			        578.83984375,
			        18.2
			    ],
			    [
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			        578.83984375,
			        20.9
			    ],
			    [
			        1743611763,
			        594.203125,
			        17.5
			    ],
			    [
			        1743611763,
			        594.203125,
			        9.7
			    ],
			    [
			        1743611763,
			        594.203125,
			        17.7
			    ],
			    [
			        1743611763,
			        594.203125,
			        10.7
			    ],
			    [
			        1743612087,
			        599.69140625,
			        17.3
			    ],
			    [
			        1743612087,
			        599.69140625,
			        18.8
			    ],
			    [
			        1743612087,
			        599.69140625,
			        17.2
			    ],
			    [
			        1743612087,
			        599.69140625,
			        18.9
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout) {
				layout["width"] = get_graph_width();
				layout["height"] = get_graph_height();
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function load_pareto_graph() {
				if($("#tab_pareto_fronts").data("loaded") == "true") {
					return;
				}
			
				var data = pareto_front_data;
			
				if (!data || typeof data !== "object") {
					console.error("Invalid data format for pareto_front_data");
					return;
				}
			
				if (!Object.keys(data).length) {
					console.warn("No data found in pareto_front_data");
					return;
				}
			
				let categories = Object.keys(data);
				let allMetrics = new Set();
			
				function extractMetrics(obj, prefix = "") {
					let keys = Object.keys(obj);
					for (let key of keys) {
						let newPrefix = prefix ? `${prefix} -> ${key}` : key;
						if (typeof obj[key] === "object" && !Array.isArray(obj[key])) {
							extractMetrics(obj[key], newPrefix);
						} else {
							if (!newPrefix.includes("param_dicts") && !newPrefix.includes(" -> sems -> ") && !newPrefix.includes("absolute_metrics")) {
								allMetrics.add(newPrefix);
							}
						}
					}
				}
			
				for (let cat of categories) {
					extractMetrics(data[cat]);
				}
			
				allMetrics = Array.from(allMetrics);
			
				function extractValues(obj, metricPath, values) {
					let parts = metricPath.split(" -> ");
					let data = obj;
					for (let part of parts) {
						if (data && typeof data === "object") {
							data = data[part];
						} else {
							return;
						}
					}
					if (Array.isArray(data)) {
						values.push(...data);
					}
				}
			
				let graphContainer = document.getElementById("pareto_front_graphs_container");
				graphContainer.classList.add("invert_in_dark_mode");
				graphContainer.innerHTML = "";
			
				var already_plotted = [];
			
				for (let i = 0; i < allMetrics.length; i++) {
					for (let j = i + 1; j < allMetrics.length; j++) {
						let xMetric = allMetrics[i];
						let yMetric = allMetrics[j];
			
						let xValues = [];
						let yValues = [];
			
						for (let cat of categories) {
							let metricData = data[cat];
							extractValues(metricData, xMetric, xValues);
							extractValues(metricData, yMetric, yValues);
						}
			
						xValues = xValues.filter(v => v !== undefined && v !== null);
						yValues = yValues.filter(v => v !== undefined && v !== null);
			
						let cleanXMetric = xMetric.replace(/.* -> /g, "");
						let cleanYMetric = yMetric.replace(/.* -> /g, "");
			
						let plot_key = `${cleanXMetric}-${cleanYMetric}`;
			
						if (xValues.length > 0 && yValues.length > 0 && xValues.length === yValues.length && !already_plotted.includes(plot_key)) {
							let div = document.createElement("div");
							div.id = `pareto_front_graph_${i}_${j}`;
							div.style.marginBottom = "20px";
							graphContainer.appendChild(div);
			
							let layout = {
								title: `${cleanXMetric} vs ${cleanYMetric}`,
								xaxis: {
									title: get_axis_title_data(cleanXMetric)
								},
								yaxis: {
									title: get_axis_title_data(cleanYMetric)
								},
								hovermode: "closest"
							};
			
							let trace = {
								x: xValues,
								y: yValues,
								mode: "markers",
								marker: {
									size: get_marker_size(),
								},
								type: "scatter",
								name: `${cleanXMetric} vs ${cleanYMetric}`
							};
			
							Plotly.newPlot(div.id, [trace], add_default_layout_data(layout));
			
							already_plotted.push(plot_key);
						}
					}
				}
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				$("#tab_pareto_fronts").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_method";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',  // Zeigt nur Ausreißer außerhalb der Whiskers
						jitter: 0.5,  // Erhöht die Streuung der Punkte für bessere Sichtbarkeit
						pointpos: 0   // Position der Punkte innerhalb der Box
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: "Generation Method"
					},
					boxmode: 'group'  // Gruppiert die Boxplots nach Generation Method
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_method"]').forEach(el => {
					let color = el.textContent.includes("Manual") ? "green" :
						el.textContent.includes("Sobol") ? "orange" :
						el.textContent.includes("SAASBO") ? "pink" :
						el.textContent.includes("Uniform") ? "lightblue" :
						el.textContent.includes("Legacy_GPEI") ? "Sienna" :
						el.textContent.includes("BO_MIXED") ? "Aqua" :
						el.textContent.includes("RANDOMFOREST") ? "DarkSeaGreen" :
						el.textContent.includes("EXTERNAL_GENERATOR") ? "Purple" :
						el.textContent.includes("BoTorch") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			

			$(document).ready(function() {
				colorize_table_entries();;
				plotWorkerUsage();;
				plotCPUAndRAMUsage();

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;Overview</h1>
			<h2>Experiment overview:              </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value           </th></tr></thead><tbody><tr><td> Model for non-random steps</td><td>BOTORCH_MODULAR </td></tr><tr><td> Max. nr. evaluations</td><td>500             </td></tr><tr><td> Number random steps</td><td>20              </td></tr><tr><td> Nr. of workers (parameter)</td><td>30              </td></tr><tr><td> Main process memory (GB)</td><td>8               </td></tr><tr><td> Worker memory (GB)</td><td>64              </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>Values</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>range</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> n_samples</td><td>range</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> confidence</td><td>choice</td><td></td><td></td><td>0.0001, 0.001, 0.005, 0.01, 0.025, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6, 0.65, 0.7,</td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td>0.75, 0.8, 0.85</td><td></td><td></td></tr><tr><td> feature_proportion</td><td>range</td><td>0.001</td><td>0.999</td><td></td><td>float</td><td>No         </td></tr><tr><td> n_clusters</td><td>range</td><td>1</td><td>50</td><td></td><td>int</td><td>No         </td></tr></tbody></table><br><h2>Number of evaluations:</h2>
			<table>
			<tbody>
			<tr>
			<th>Failed</th>
			<th>Succeeded</th>
			<th>Running</th>
			<th>Total</th>
			</tr>
			<tr>
			<td>30</td>
			<td>0</td>
			<td>30</td>
			<td>60</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types:</h2>
			<br><table>
			<tr><th>name</th><th>min/max</th></tr>
			<tr>
			<td>ACCURACY</td>
			<td>max</td>
			</tr>
			<tr>
			<td>RUNTIME</td>
			<td>min</td>
			</tr>
			</table><br>
			<h2>Last progressbar status:</h2>
			<tt>2025-04-02 18:44:15: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)</tt><br>
			<h2>Git-Version:</h2>
			<tt>Commit: 748be6af2e38a3c47ed5b1c8cc0139d9175bbc80 (5373)
			</tt>
			<h1>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,recent_samples_size,n_samples,confidence,feature_proportion,n_clusters
0,0_0,FAILED,Sobol,GenerationStep_0,364,3285,0.699999999999999955591079014994,0.866783982992172186143875478592,3
1,1_0,FAILED,Sobol,GenerationStep_0,3050,1417,0.001000000000000000020816681712,0.436652978241443612272831842347,43
2,2_0,FAILED,Sobol,GenerationStep_0,4255,4080,0.599999999999999977795539507497,0.567172012405469994078544004878,32
3,3_0,FAILED,Sobol,GenerationStep_0,1708,947,0.299999999999999988897769753748,0.129382902881130579242352496294,16
4,4_0,FAILED,Sobol,GenerationStep_0,2251,4839,0.005000000000000000104083408559,0.066177592160180209734932077481,24
5,5_0,FAILED,Sobol,GenerationStep_0,4952,451,0.750000000000000000000000000000,0.630317361807450682320563828398,33
6,6_0,FAILED,Sobol,GenerationStep_0,3603,2799,0.100000000000000005551115123126,0.373646408360451487418174565391,45
7,7_0,FAILED,Sobol,GenerationStep_0,1071,2186,0.400000000000000022204460492503,0.929850538358092282287259422446,10
8,8_0,FAILED,Sobol,GenerationStep_0,864,3818,0.100000000000000005551115123126,0.705601285938173505840609323059,39
9,9_0,FAILED,Sobol,GenerationStep_0,3174,701,0.400000000000000022204460492503,0.022088787741959096944110996219,5
10,10_0,FAILED,Sobol,GenerationStep_0,4521,3663,0.050000000000000002775557561563,0.981760792696848461069691893499,17
11,11_0,FAILED,Sobol,GenerationStep_0,2067,1781,0.849999999999999977795539507497,0.290556277452036715303052005765,26
12,12_0,FAILED,Sobol,GenerationStep_0,1516,3065,0.450000000000000011102230246252,0.476867920080199847454593964358,37
13,13_0,FAILED,Sobol,GenerationStep_0,3812,2428,0.200000000000000011102230246252,0.795389188749715647652749339613,22
14,14_0,FAILED,Sobol,GenerationStep_0,2634,4455,0.650000000000000022204460492503,0.208565264511853448725631210436,10
15,15_0,FAILED,Sobol,GenerationStep_0,165,93,0.001000000000000000020816681712,0.519184770487248870018959223671,50
16,16_0,FAILED,Sobol,GenerationStep_0,30,4573,0.450000000000000011102230246252,0.329786397939547892832479192293,14
17,17_0,FAILED,Sobol,GenerationStep_0,2798,207,0.200000000000000011102230246252,0.895738469453528529662378332432,29
18,18_0,FAILED,Sobol,GenerationStep_0,3961,2868,0.800000000000000044408920985006,0.108088855996727947750279952288,43
19,19_0,FAILED,Sobol,GenerationStep_0,1337,2236,0.025000000000000001387778780781,0.666379129063338071503608261992,2
20,20_0,FAILED,Sobol,GenerationStep_0,1878,3550,0.250000000000000000000000000000,0.605184838742017783275173314905,13
21,21_0,FAILED,Sobol,GenerationStep_0,4661,1663,0.550000000000000044408920985006,0.169343107637017958877478918112,47
22,22_0,FAILED,Sobol,GenerationStep_0,3348,4009,0.000100000000000000004792173602,0.834619309237226825182176526141,34
23,23_0,FAILED,Sobol,GenerationStep_0,739,898,0.599999999999999977795539507497,0.390845596836879860536129172033,25
24,24_0,FAILED,Sobol,GenerationStep_0,1234,2529,0.005000000000000000104083408559,0.246578092707321061549663454571,28
25,25_0,FAILED,Sobol,GenerationStep_0,3470,1911,0.750000000000000000000000000000,0.559144977102056128792639810854,19
26,26_0,FAILED,Sobol,GenerationStep_0,4774,4875,0.250000000000000000000000000000,0.444703220300376400597741621823,6
27,27_0,FAILED,Sobol,GenerationStep_0,2399,491,0.550000000000000044408920985006,0.749581805486231989021916888305,40
28,28_0,FAILED,Sobol,GenerationStep_0,1847,4355,0.800000000000000044408920985006,0.937900780417025070612169201922,48
29,29_0,FAILED,Sobol,GenerationStep_0,4068,1216,0.010000000000000000208166817117,0.256444206688553111295192366015,7
30,30_0,RUNNING,Sobol,GenerationStep_0,2926,3245,0.349999999999999977795539507497,0.747512551633641164627874786675,21
31,31_0,RUNNING,Sobol,GenerationStep_0,536,1382,0.050000000000000002775557561563,0.058150556856766344449027883456,36
32,32_0,RUNNING,Sobol,GenerationStep_0,610,4218,0.050000000000000002775557561563,0.389107616445049653286503144045,11
33,33_0,RUNNING,Sobol,GenerationStep_0,2843,1080,0.849999999999999977795539507497,0.821018613176420331001281738281,46
34,34_0,RUNNING,Sobol,GenerationStep_0,4150,3420,0.149999999999999994448884876874,0.175017592489719403525683105727,32
35,35_0,RUNNING,Sobol,GenerationStep_0,1774,1557,0.400000000000000022204460492503,0.614864258613437408840241005237,23
36,36_0,RUNNING,Sobol,GenerationStep_0,2473,2666,0.650000000000000022204460492503,0.675921609744429607857796327153,15
37,37_0,RUNNING,Sobol,GenerationStep_0,4690,2048,0.000100000000000000004792173602,0.113900280039757495487151572888,31
38,38_0,RUNNING,Sobol,GenerationStep_0,3552,4699,0.500000000000000000000000000000,0.882274705147370719160448970797,44
39,39_0,RUNNING,Sobol,GenerationStep_0,1161,316,0.200000000000000011102230246252,0.327911485793069001903887738081,4
40,40_0,RUNNING,Sobol,GenerationStep_0,657,3686,0.550000000000000044408920985006,0.036650191245600580169927695806,49
41,41_0,RUNNING,Sobol,GenerationStep_0,3421,1799,0.299999999999999988897769753748,0.721976593697443602692942477006,9
42,42_0,RUNNING,Sobol,GenerationStep_0,4587,3834,0.699999999999999955591079014994,0.274068973489105693897016635674,22
43,43_0,RUNNING,Sobol,GenerationStep_0,1962,722,0.001000000000000000020816681712,0.967297108892351431563838559669,38
44,44_0,RUNNING,Sobol,GenerationStep_0,1255,4437,0.100000000000000005551115123126,0.778871413372457022106232216174,27
45,45_0,RUNNING,Sobol,GenerationStep_0,4034,70,0.349999999999999977795539507497,0.462434707690030311066919921359,17
46,46_0,RUNNING,Sobol,GenerationStep_0,2724,3044,0.010000000000000000208166817117,0.533715732319280489193147332116,4
47,47_0,RUNNING,Sobol,GenerationStep_0,114,2412,0.750000000000000000000000000000,0.224971013942733416568486859433,39
48,48_0,RUNNING,Sobol,GenerationStep_0,238,2928,0.299999999999999988897769753748,0.912484533201903147414668637794,25
49,49_0,RUNNING,Sobol,GenerationStep_0,2552,2291,0.550000000000000044408920985006,0.344478622928261757341061866100,35
50,50_0,RUNNING,Sobol,GenerationStep_0,3895,4631,0.005000000000000000104083408559,0.651558965774252984992642723228,46
51,51_0,RUNNING,Sobol,GenerationStep_0,1442,269,0.699999999999999955591079014994,0.091485007053241140795307728695,12
52,52_0,RUNNING,Sobol,GenerationStep_0,2140,3955,0.349999999999999977795539507497,0.154553386019542826623762721283,1
53,53_0,RUNNING,Sobol,GenerationStep_0,4439,838,0.100000000000000005551115123126,0.588550548126921091451890788449,42
54,54_0,RUNNING,Sobol,GenerationStep_0,3258,3487,0.800000000000000044408920985006,0.407622131999582026917749999484,30
55,55_0,RUNNING,Sobol,GenerationStep_0,791,1605,0.010000000000000000208166817117,0.849281062811613085550277446600,14
56,56_0,RUNNING,Sobol,GenerationStep_0,987,4976,0.849999999999999977795539507497,0.513251523990184033152672782307,36
57,57_0,RUNNING,Sobol,GenerationStep_0,3677,588,0.025000000000000001387778780781,0.198657301597297192286006861650,20
58,58_0,RUNNING,Sobol,GenerationStep_0,4879,2623,0.450000000000000011102230246252,0.797385930785909247120457621349,8
59,59_0,RUNNING,Sobol,GenerationStep_0,2333,2010,0.149999999999999994448884876874,0.490697159184142972510045410672,49
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
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			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
⚠ Job 16301516 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301516/16301516_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301516/16301516_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 11, in &lt;module&gt;
    submitit_main()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 73, in submitit_main
    parser = argparse.ArgumentParser(description=&quot;Run a job&quot;)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/argparse.py&quot;, line 1728, in __init__
    self._positionals = add_group(_(&#039;positional arguments&#039;))
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py&quot;, line 742, in gettext
    return dgettext(_current_domain, message)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py&quot;, line 666, in dgettext
    t = translation(domain, _localedirs.get(domain, None))
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py&quot;, line 587, in translation
    mofiles = find(domain, localedir, languages, all=True)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py&quot;, line 558, in find
    for nelang in _expand_lang(lang):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/gettext.py&quot;, line 212, in _expand_lang
    import locale
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1002, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 945, in _find_spec
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1439, in find_spec
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1411, in _get_spec
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1577, in find_spec
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 161, in _path_isfile
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 153, in _path_is_mode_type
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 147, in _path_stat
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301516/16301516_0_log.err not found


⚠ Job 16301519 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301519/16301519_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301519/16301519_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:32:02,833) - Starting with JobEnvironment(job_id=16301519, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:32:02,838) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301519/16301519_submitted.pkl
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 11, in &lt;module&gt;
    submitit_main()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 76, in submitit_main
    process_job(args.folder)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 153, in load
    obj = pickle_load(filepath)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 232, in pickle_load
    return pickle.load(ifile)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py&quot;, line 469, in subimport
    __import__(name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/torch/__init__.py&quot;, line 405, in &lt;module&gt;
    from torch._C import *  # noqa: F403
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 216, in _lock_unlock_module
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301519/16301519_0_log.err not found


⚠ Job 16301522 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301522/16301522_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301522/16301522_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:32:02,826) - Starting with JobEnvironment(job_id=16301522, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:32:02,860) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301522/16301522_submitted.pkl
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 11, in &lt;module&gt;
    submitit_main()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 76, in submitit_main
    process_job(args.folder)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 153, in load
    obj = pickle_load(filepath)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 232, in pickle_load
    return pickle.load(ifile)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py&quot;, line 469, in subimport
    __import__(name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/torch/__init__.py&quot;, line 405, in &lt;module&gt;
    from torch._C import *  # noqa: F403
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 216, in _lock_unlock_module
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301522/16301522_0_log.err not found


⚠ Job 16301525 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301525/16301525_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301525/16301525_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:32:02,834) - Starting with JobEnvironment(job_id=16301525, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:32:02,839) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301525/16301525_submitted.pkl
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 11, in &lt;module&gt;
    submitit_main()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 76, in submitit_main
    process_job(args.folder)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 153, in load
    obj = pickle_load(filepath)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 232, in pickle_load
    return pickle.load(ifile)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py&quot;, line 469, in subimport
    __import__(name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/torch/__init__.py&quot;, line 405, in &lt;module&gt;
    from torch._C import *  # noqa: F403
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 216, in _lock_unlock_module
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301525/16301525_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301529/16301529_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301531/16301531_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301534/16301534_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301536/16301536_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301538/16301538_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301539/16301539_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301543/16301543_0_log.err not found


⚠ Job 16301547 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301547/16301547_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301547/16301547_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:33:33,325) - Starting with JobEnvironment(job_id=16301547, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:33:33,344) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301547/16301547_submitted.pkl
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 11, in &lt;module&gt;
    submitit_main()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 76, in submitit_main
    process_job(args.folder)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 153, in load
    obj = pickle_load(filepath)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 232, in pickle_load
    return pickle.load(ifile)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py&quot;, line 469, in subimport
    __import__(name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/__init__.py&quot;, line 161, in &lt;module&gt;
    from . import _api, _version, cbook, _docstring, rcsetup
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/rcsetup.py&quot;, line 28, in &lt;module&gt;
    from matplotlib.colors import Colormap, is_color_like
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/colors.py&quot;, line 52, in &lt;module&gt;
    from PIL import Image
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 688, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 879, in exec_module
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1012, in get_code
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 672, in _compile_bytecode
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301547/16301547_0_log.err not found


⚠ Job 16301552 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301552/16301552_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301552/16301552_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:33:33,326) - Starting with JobEnvironment(job_id=16301552, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:33:33,343) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301552/16301552_submitted.pkl
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 11, in &lt;module&gt;
    submitit_main()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 76, in submitit_main
    process_job(args.folder)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 153, in load
    obj = pickle_load(filepath)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 232, in pickle_load
    return pickle.load(ifile)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py&quot;, line 469, in subimport
    __import__(name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/__init__.py&quot;, line 161, in &lt;module&gt;
    from . import _api, _version, cbook, _docstring, rcsetup
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/rcsetup.py&quot;, line 28, in &lt;module&gt;
    from matplotlib.colors import Colormap, is_color_like
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/colors.py&quot;, line 52, in &lt;module&gt;
    from PIL import Image
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 688, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 879, in exec_module
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1012, in get_code
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 672, in _compile_bytecode
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301552/16301552_0_log.err not found


⚠ Job 16301556 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301556/16301556_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301556/16301556_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:33:33,325) - Starting with JobEnvironment(job_id=16301556, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:33:33,357) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301556/16301556_submitted.pkl
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 11, in &lt;module&gt;
    submitit_main()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 76, in submitit_main
    process_job(args.folder)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 153, in load
    obj = pickle_load(filepath)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 232, in pickle_load
    return pickle.load(ifile)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py&quot;, line 469, in subimport
    __import__(name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/__init__.py&quot;, line 161, in &lt;module&gt;
    from . import _api, _version, cbook, _docstring, rcsetup
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/rcsetup.py&quot;, line 28, in &lt;module&gt;
    from matplotlib.colors import Colormap, is_color_like
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/matplotlib/colors.py&quot;, line 52, in &lt;module&gt;
    from PIL import Image
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 688, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 879, in exec_module
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1012, in get_code
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 672, in _compile_bytecode
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301556/16301556_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301559/16301559_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301563/16301563_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301565/16301565_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301568/16301568_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301571/16301571_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301573/16301573_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301575/16301575_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301578/16301578_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301581/16301581_0_log.err not found


⚠ Job 16301585 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301585/16301585_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301585/16301585_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 11, in &lt;module&gt;
    submitit_main()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 76, in submitit_main
    process_job(args.folder)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 37, in process_job
    env = job_environment.JobEnvironment()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/job_environment.py&quot;, line 44, in __new__
    return plugins.get_job_environment()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py&quot;, line 71, in get_job_environment
    envs = get_job_environments()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py&quot;, line 88, in get_job_environments
    return {env.name(): env for env in _get_plugins()1]}
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/plugins.py&quot;, line 24, in _get_plugins
    import pkg_resources
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/__init__.py&quot;, line 77, in &lt;module&gt;
    __import__(&#039;pkg_resources.extern.packaging.specifiers&#039;)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/specifiers.py&quot;, line 333, in &lt;module&gt;
    class Specifier(_IndividualSpecifier):
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/specifiers.py&quot;, line 428, in Specifier
    _regex = re.compile(r&quot;^\s*&quot; + _regex_str + r&quot;\s*$&quot;, re.VERBOSE | re.IGNORECASE)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/re.py&quot;, line 251, in compile
    return _compile(pattern, flags)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/re.py&quot;, line 303, in _compile
    p = sre_compile.compile(pattern, flags)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_compile.py&quot;, line 764, in compile
    p = sre_parse.parse(p, flags)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py&quot;, line 950, in parse
    p = _parse_sub(source, state, flags &amp; SRE_FLAG_VERBOSE, 0)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py&quot;, line 443, in _parse_sub
    itemsappend(_parse(source, state, verbose, nested + 1,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py&quot;, line 831, in _parse
    group = state.opengroup(name)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py&quot;, line 86, in opengroup
    self.groupwidths.append(None)
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301585/16301585_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301587/16301587_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301598/16301598_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301601/16301601_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301604/16301604_0_log.err not found


⚠ Job 16301591 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301591/16301591_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301591/16301591_0_log.out
----------------------------------------
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 11, in &lt;module&gt;
    submitit_main()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 76, in submitit_main
    process_job(args.folder)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 153, in load
    obj = pickle_load(filepath)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 232, in pickle_load
    return pickle.load(ifile)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py&quot;, line 469, in subimport
    __import__(name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/__init__.py&quot;, line 49, in &lt;module&gt;
    from pandas.core.api import (
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/api.py&quot;, line 47, in &lt;module&gt;
    from pandas.core.groupby import (
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/groupby/__init__.py&quot;, line 1, in &lt;module&gt;
    from pandas.core.groupby.generic import (
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/groupby/generic.py&quot;, line 68, in &lt;module&gt;
    from pandas.core.frame import DataFrame
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/frame.py&quot;, line 509, in &lt;module&gt;
    class DataFrame(NDFrame, OpsMixin):
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/frame.py&quot;, line 2183, in DataFrame
    def to_gbq(
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/util/_decorators.py&quot;, line 295, in decorate
    old_sig = inspect.signature(func)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py&quot;, line 3247, in signature
    return Signature.from_callable(obj, follow_wrapped=follow_wrapped,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py&quot;, line 2995, in from_callable
    return _signature_from_callable(obj, sigcls=cls,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py&quot;, line 2456, in _signature_from_callable
    return _signature_from_function(sigcls, obj,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py&quot;, line 2366, in _signature_from_function
    return cls(parameters,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py&quot;, line 2962, in __init__
    params = OrderedDict((param.name, param) for param in parameters)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/inspect.py&quot;, line 2962, in &lt;genexpr&gt;
    params = OrderedDict((param.name, param) for param in parameters)
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301591/16301591_0_log.err not found


⚠ Job 16301596 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301596/16301596_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301596/16301596_0_log.out
----------------------------------------
submitit INFO (2025-04-02 18:35:34,142) - Starting with JobEnvironment(job_id=16301596, hostname=n1708, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-02 18:35:34,146) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301596/16301596_submitted.pkl
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 11, in &lt;module&gt;
    submitit_main()
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 76, in submitit_main
    process_job(args.folder)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 52, in process_job
    delayed = utils.DelayedSubmission.load(paths.submitted_pickle)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 153, in load
    obj = pickle_load(filepath)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/utils.py&quot;, line 232, in pickle_load
    return pickle.load(ifile)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/cloudpickle/cloudpickle.py&quot;, line 469, in subimport
    __import__(name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/__init__.py&quot;, line 121, in &lt;module&gt;
    from pandas.core.reshape.api import (
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/pandas/core/reshape/api.py&quot;, line 21, in &lt;module&gt;
    from pandas.core.reshape.tile import (
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1024, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 174, in __exit__
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 125, in release
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0/single_runs/16301596/16301596_0_log.err not found

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
			
			<h1>&nbsp;Progressbar log</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_progressbar_log")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_progressbar_log", "progressbar")'> Download &raquo;progressbar&laquo; as file</button>
<pre id='simple_pre_tab_tab_progressbar_log'>2025-04-02 18:31:11: Initializing model, Started OmniOpt2 run...
2025-04-02 18:31:12: Initializing model, finished 0 jobs
2025-04-02 18:31:12: Initializing model, trying to get 30 next steps (current done: 0, max: 500)
2025-04-02 18:31:12: Initializing model, finishing jobs (_get_next_trials), finished 0 jobs
2025-04-02 18:31:12: Initializing model, getting new hyperparameter set #1/30
2025-04-02 18:31:12: SobolGenerator, getting new hyperparameter set #2/30 | ETA: 17s
2025-04-02 18:31:13: SobolGenerator, getting new hyperparameter set #3/30 | ETA: 16s
2025-04-02 18:31:14: SobolGenerator, getting new hyperparameter set #4/30 | ETA: 16s
2025-04-02 18:31:14: SobolGenerator, getting new hyperparameter set #5/30 | ETA: 15s
2025-04-02 18:31:15: SobolGenerator, getting new hyperparameter set #6/30 | ETA: 15s
2025-04-02 18:31:15: SobolGenerator, getting new hyperparameter set #7/30 | ETA: 14s
2025-04-02 18:31:16: SobolGenerator, getting new hyperparameter set #8/30 | ETA: 14s
2025-04-02 18:31:17: SobolGenerator, getting new hyperparameter set #9/30 | ETA: 13s
2025-04-02 18:31:17: SobolGenerator, getting new hyperparameter set #10/30 | ETA: 13s
2025-04-02 18:31:18: SobolGenerator, getting new hyperparameter set #11/30 | ETA: 12s
2025-04-02 18:31:18: SobolGenerator, getting new hyperparameter set #12/30 | ETA: 11s
2025-04-02 18:31:19: SobolGenerator, getting new hyperparameter set #13/30 | ETA: 10s
2025-04-02 18:31:20: SobolGenerator, getting new hyperparameter set #14/30 | ETA: 10s
2025-04-02 18:31:20: SobolGenerator, getting new hyperparameter set #15/30 | ETA: 9s
2025-04-02 18:31:21: SobolGenerator, getting new hyperparameter set #16/30 | ETA: 8s
2025-04-02 18:31:21: SobolGenerator, getting new hyperparameter set #17/30 | ETA: 8s
2025-04-02 18:31:22: SobolGenerator, getting new hyperparameter set #18/30 | ETA: 7s
2025-04-02 18:31:22: SobolGenerator, getting new hyperparameter set #19/30 | ETA: 6s
2025-04-02 18:31:23: SobolGenerator, getting new hyperparameter set #20/30 | ETA: 6s
2025-04-02 18:31:23: SobolGenerator, getting new hyperparameter set #21/30 | ETA: 5s
2025-04-02 18:31:23: SobolGenerator, getting new hyperparameter set #22/30 | ETA: 4s
2025-04-02 18:31:24: SobolGenerator, getting new hyperparameter set #23/30 | ETA: 4s
2025-04-02 18:31:24: SobolGenerator, getting new hyperparameter set #24/30 | ETA: 3s
2025-04-02 18:31:25: SobolGenerator, getting new hyperparameter set #25/30 | ETA: 3s
2025-04-02 18:31:25: SobolGenerator, getting new hyperparameter set #26/30 | ETA: 2s
2025-04-02 18:31:26: SobolGenerator, getting new hyperparameter set #27/30 | ETA: 2s
2025-04-02 18:31:26: SobolGenerator, getting new hyperparameter set #28/30 | ETA: 1s
2025-04-02 18:31:27: SobolGenerator, getting new hyperparameter set #29/30 | ETA: 1s
2025-04-02 18:31:27: SobolGenerator, getting new hyperparameter set #30/30 | ETA: 0s
2025-04-02 18:31:28: SobolGenerator, starting parameter set
2025-04-02 18:31:28: SobolGenerator, starting new job
2025-04-02 18:31:30: SobolGenerator, unknown 1 (3%/30), started new job
2025-04-02 18:31:30: SobolGenerator, unknown 1 (3%/30), starting parameter set
2025-04-02 18:31:30: SobolGenerator, unknown 1 (3%/30), starting new job
2025-04-02 18:31:32: SobolGenerator, unknown 2 (7%/30), started new job
2025-04-02 18:31:32: SobolGenerator, unknown 2 (7%/30), starting parameter set
2025-04-02 18:31:33: SobolGenerator, unknown 2 (7%/30), starting new job
2025-04-02 18:31:35: SobolGenerator, failed/pending/unknown 1/1/1 (10%/30), started new job
2025-04-02 18:31:35: SobolGenerator, failed/pending/unknown 1/1/1 (10%/30), starting parameter set
2025-04-02 18:31:36: SobolGenerator, failed/pending/unknown 1/1/1 (10%/30), starting new job
2025-04-02 18:31:38: SobolGenerator, failed/pending/unknown 1/1/2 (13%/30), started new job
2025-04-02 18:31:38: SobolGenerator, failed/pending/unknown 1/1/2 (13%/30), starting parameter set
2025-04-02 18:31:39: SobolGenerator, failed/pending/unknown 1/1/2 (13%/30), starting new job
2025-04-02 18:31:41: SobolGenerator, failed/pending/unknown 1/3/1 (17%/30), started new job
2025-04-02 18:31:41: SobolGenerator, failed/pending/unknown 1/3/1 (17%/30), starting parameter set
2025-04-02 18:31:42: SobolGenerator, failed/pending/unknown 1/3/1 (17%/30), starting new job
2025-04-02 18:31:44: SobolGenerator, failed/pending/unknown 1/3/2 (20%/30), started new job
2025-04-02 18:31:44: SobolGenerator, failed/pending/unknown 1/3/2 (20%/30), starting parameter set
2025-04-02 18:31:44: SobolGenerator, failed/pending/unknown 1/3/2 (20%/30), starting new job
2025-04-02 18:31:46: SobolGenerator, failed/pending/unknown 1/4/2 (23%/30), started new job
2025-04-02 18:31:46: SobolGenerator, failed/pending/unknown 1/4/2 (23%/30), starting parameter set
2025-04-02 18:31:46: SobolGenerator, failed/pending/unknown 1/4/2 (23%/30), starting new job
2025-04-02 18:31:48: SobolGenerator, failed/pending 1/7 (27%/30), started new job
2025-04-02 18:31:48: SobolGenerator, failed/pending 1/7 (27%/30), starting parameter set
2025-04-02 18:31:49: SobolGenerator, failed/pending 1/7 (27%/30), starting new job
2025-04-02 18:31:50: SobolGenerator, failed/pending/unknown 1/7/1 (30%/30), started new job
2025-04-02 18:31:51: SobolGenerator, failed/pending/unknown 1/7/1 (30%/30), starting parameter set
2025-04-02 18:31:51: SobolGenerator, failed/pending/unknown 1/7/1 (30%/30), starting new job
2025-04-02 18:31:53: SobolGenerator, failed/pending/unknown 1/7/2 (33%/30), started new job
2025-04-02 18:31:53: SobolGenerator, failed/pending/unknown 1/7/2 (33%/30), starting parameter set
2025-04-02 18:31:54: SobolGenerator, failed/pending 1/9 (33%/30), starting new job
2025-04-02 18:31:56: SobolGenerator, failed/pending/unknown 1/9/1 (37%/30), started new job
2025-04-02 18:31:56: SobolGenerator, failed/pending/unknown 1/9/1 (37%/30), starting parameter set
2025-04-02 18:31:57: SobolGenerator, failed/pending/unknown 1/9/1 (37%/30), starting new job
2025-04-02 18:32:00: SobolGenerator, failed/pending/unknown 1/10/1 (40%/30), started new job
2025-04-02 18:32:00: SobolGenerator, failed/pending/unknown 1/10/1 (40%/30), starting parameter set
2025-04-02 18:32:00: SobolGenerator, failed/pending/unknown 1/10/1 (40%/30), starting new job
2025-04-02 18:32:02: SobolGenerator, failed/running/pending/unknown 1/3/7/2 (43%/30), started new job
2025-04-02 18:32:02: SobolGenerator, failed/running/pending/unknown 1/3/7/2 (43%/30), starting parameter set
2025-04-02 18:32:02: SobolGenerator, failed/running/pending/unknown 1/3/7/2 (43%/30), starting new job
2025-04-02 18:32:04: SobolGenerator, failed/running/pending/unknown 1/3/8/2 (47%/30), started new job
2025-04-02 18:32:04: SobolGenerator, failed/running/pending/unknown 1/3/8/2 (47%/30), starting parameter set
2025-04-02 18:32:05: SobolGenerator, failed/running/pending/unknown 1/3/8/2 (47%/30), starting new job
2025-04-02 18:32:07: SobolGenerator, failed/running/pending/unknown 1/3/9/2 (50%/30), started new job
2025-04-02 18:32:07: SobolGenerator, failed/running/pending/unknown 1/3/9/2 (50%/30), starting parameter set
2025-04-02 18:32:07: SobolGenerator, failed/running/pending/unknown 1/3/9/2 (50%/30), starting new job
2025-04-02 18:32:09: SobolGenerator, failed/pending/unknown 4/9/3 (53%/30), started new job
2025-04-02 18:32:09: SobolGenerator, failed/pending/unknown 4/9/3 (53%/30), starting parameter set
2025-04-02 18:32:10: SobolGenerator, failed/pending/unknown 4/9/3 (53%/30), starting new job
2025-04-02 18:32:12: SobolGenerator, failed/pending/unknown 4/12/1 (57%/30), started new job
2025-04-02 18:32:12: SobolGenerator, failed/pending/unknown 4/12/1 (57%/30), starting parameter set
2025-04-02 18:32:13: SobolGenerator, failed/pending/unknown 4/12/1 (57%/30), starting new job
2025-04-02 18:32:15: SobolGenerator, failed/pending/unknown 4/12/2 (60%/30), started new job
2025-04-02 18:32:16: SobolGenerator, failed/pending/unknown 4/12/2 (60%/30), starting parameter set
2025-04-02 18:32:16: SobolGenerator, failed/pending 4/14 (60%/30), starting new job
2025-04-02 18:32:19: SobolGenerator, failed/pending/unknown 4/14/1 (63%/30), started new job
2025-04-02 18:32:19: SobolGenerator, failed/pending/unknown 4/14/1 (63%/30), starting parameter set
2025-04-02 18:32:20: SobolGenerator, failed/pending 4/15 (63%/30), starting new job
2025-04-02 18:32:22: SobolGenerator, failed/pending/unknown 4/15/1 (67%/30), started new job
2025-04-02 18:32:22: SobolGenerator, failed/pending/unknown 4/15/1 (67%/30), starting parameter set
2025-04-02 18:32:22: SobolGenerator, failed/pending/unknown 4/15/1 (67%/30), starting new job
2025-04-02 18:32:24: SobolGenerator, failed/pending/unknown 4/15/2 (70%/30), started new job
2025-04-02 18:32:24: SobolGenerator, failed/pending/unknown 4/15/2 (70%/30), starting parameter set
2025-04-02 18:32:25: SobolGenerator, failed/pending/unknown 4/15/2 (70%/30), starting new job
2025-04-02 18:32:26: SobolGenerator, failed/pending/unknown 4/17/1 (73%/30), started new job
2025-04-02 18:32:26: SobolGenerator, failed/pending/unknown 4/17/1 (73%/30), starting parameter set
2025-04-02 18:32:27: SobolGenerator, failed/pending/unknown 4/17/1 (73%/30), starting new job
2025-04-02 18:32:29: SobolGenerator, failed/pending/unknown 4/17/2 (77%/30), started new job
2025-04-02 18:32:29: SobolGenerator, failed/pending/unknown 4/17/2 (77%/30), starting parameter set
2025-04-02 18:32:29: SobolGenerator, failed/pending/unknown 4/17/2 (77%/30), starting new job
2025-04-02 18:32:31: SobolGenerator, failed/pending/unknown 4/17/3 (80%/30), started new job
2025-04-02 18:32:31: SobolGenerator, failed/pending/unknown 4/17/3 (80%/30), starting parameter set
2025-04-02 18:32:32: SobolGenerator, failed/pending/unknown 4/17/3 (80%/30), starting new job
2025-04-02 18:32:34: SobolGenerator, failed/running/pending/unknown 4/4/15/2 (83%/30), started new job
2025-04-02 18:32:34: SobolGenerator, failed/running/pending/unknown 4/4/15/2 (83%/30), starting parameter set
2025-04-02 18:32:35: SobolGenerator, failed/running/pending 4/4/17 (83%/30), starting new job
2025-04-02 18:32:37: SobolGenerator, failed/running/pending/unknown 4/4/17/1 (87%/30), started new job
2025-04-02 18:32:37: SobolGenerator, failed/running/pending/unknown 4/4/17/1 (87%/30), starting parameter set
2025-04-02 18:32:39: SobolGenerator, failed/running/pending/unknown 4/4/17/1 (87%/30), starting new job
2025-04-02 18:32:41: SobolGenerator, failed/running/pending/unknown 4/4/17/2 (90%/30), started new job
2025-04-02 18:32:41: SobolGenerator, failed/running/pending/unknown 4/4/17/2 (90%/30), starting parameter set
2025-04-02 18:32:41: SobolGenerator, failed/running/pending/unknown 4/4/17/2 (90%/30), starting new job
2025-04-02 18:32:43: SobolGenerator, failed/running/pending/unknown 4/4/19/1 (93%/30), started new job
2025-04-02 18:32:43: SobolGenerator, failed/running/pending/unknown 4/4/19/1 (93%/30), starting parameter set
2025-04-02 18:32:44: SobolGenerator, failed/running/pending/unknown 4/4/19/1 (93%/30), starting new job
2025-04-02 18:32:46: SobolGenerator, failed/running/pending/unknown 4/4/19/2 (97%/30), started new job
2025-04-02 18:32:46: SobolGenerator, failed/running/pending/unknown 4/4/19/2 (97%/30), starting parameter set
2025-04-02 18:32:46: SobolGenerator, failed/running/pending/unknown 4/4/19/2 (97%/30), starting new job
2025-04-02 18:32:48: SobolGenerator, failed/running/pending/unknown 4/4/21/1 (100%/30), started new job
2025-04-02 18:33:04: SobolGenerator, failed/completed/running/pending 4/4/3/19 (100%/30), job_failed
2025-04-02 18:33:21: Failed jobs: 1 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed/completed/running/pending 3/4/3/19 (97%/30), job_failed
2025-04-02 18:33:38: Failed jobs: 2 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed/completed/running/pending 2/4/3/19 (93%/30), job_failed
2025-04-02 18:33:56: Failed jobs: 3 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed/completed/running/pending 1/4/3/19 (90%/30), job_failed
2025-04-02 18:34:01: Failed jobs: 4 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 7/3/16 (87%/30), job_failed
2025-04-02 18:34:03: Failed jobs: 5 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 6/3/16 (83%/30), job_failed
2025-04-02 18:34:05: Failed jobs: 6 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 5/3/16 (80%/30), job_failed
2025-04-02 18:34:08: Failed jobs: 7 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 4/3/16 (77%/30), job_failed
2025-04-02 18:34:10: Failed jobs: 8 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 3/3/16 (73%/30), job_failed
2025-04-02 18:34:13: Failed jobs: 9 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 2/3/16 (70%/30), job_failed
2025-04-02 18:34:16: Failed jobs: 10 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 1/3/16 (67%/30), job_failed
2025-04-02 18:34:35: Failed jobs: 11 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed/pending 3/16 (63%/30), job_failed
2025-04-02 18:34:53: Failed jobs: 12 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed/pending 2/16 (60%/30), job_failed
2025-04-02 18:35:10: Failed jobs: 13 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed/pending 1/16 (57%/30), job_failed
2025-04-02 18:35:12: Failed jobs: 14 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/running/failed/pending 7/3/1/5 (53%/30), job_failed
2025-04-02 18:35:15: Failed jobs: 15 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/running/failed/pending 6/3/1/5 (50%/30), job_failed
2025-04-02 18:35:17: Failed jobs: 16 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/running/failed/pending 5/3/1/5 (47%/30), job_failed
2025-04-02 18:35:20: Failed jobs: 17 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/running/failed/pending 4/3/1/5 (43%/30), job_failed
2025-04-02 18:35:24: Failed jobs: 18 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/running/failed/pending 3/3/1/5 (40%/30), job_failed
2025-04-02 18:35:28: Failed jobs: 19 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/running/failed/pending 2/3/1/5 (37%/30), job_failed
2025-04-02 18:35:31: Failed jobs: 20 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/running/failed/pending 1/3/1/5 (33%/30), job_failed
2025-04-02 18:35:34: Failed jobs: 21 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/failed/pending 3/1/5 (30%/30), job_failed
2025-04-02 18:35:36: Failed jobs: 22 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/failed/pending 2/1/5 (27%/30), job_failed
2025-04-02 18:35:53: Failed jobs: 23 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed/running/pending 1/1/5 (23%/30), job_failed
2025-04-02 18:35:55: Failed jobs: 24 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 1/5 (20%/30), job_failed
2025-04-02 18:35:59: Failed jobs: 25 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), finishing jobs after starting them, finished 25 jobs
2025-04-02 18:35:59: Failed jobs: 25 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), got 30, requested 30
2025-04-02 18:36:02: Failed jobs: 25 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), finishing previous jobs (5), finished 0 jobs
2025-04-02 18:36:03: Failed jobs: 25 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), waiting for old jobs to finish (5 left)
2025-04-02 18:36:12: Failed jobs: 25 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), waiting for jobs (5 left), finished 0 jobs
2025-04-02 18:36:12: Failed jobs: 25 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), waiting for old jobs to finish (5 left)
2025-04-02 18:36:20: Failed jobs: 25 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), waiting for jobs (5 left), finished 0 jobs
2025-04-02 18:36:20: Failed jobs: 25 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), waiting for old jobs to finish (5 left)
2025-04-02 18:36:27: Failed jobs: 25 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), waiting for jobs (5 left), finished 0 jobs
2025-04-02 18:36:27: Failed jobs: 25 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), waiting for old jobs to finish (5 left)
2025-04-02 18:36:34: Failed jobs: 25 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 5 (17%/30), job_failed
2025-04-02 18:36:39: Failed jobs: 26 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 4 (13%/30), job_failed
2025-04-02 18:36:42: Failed jobs: 27 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), job_failed
2025-04-02 18:36:44: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for jobs (5 left), finished 3 jobs
2025-04-02 18:36:44: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for old jobs to finish (2 left)
2025-04-02 18:36:50: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for jobs (2 left), finished 0 jobs
2025-04-02 18:36:51: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for old jobs to finish (2 left)
2025-04-02 18:36:58: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for jobs (2 left), finished 0 jobs
2025-04-02 18:36:58: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for old jobs to finish (2 left)
2025-04-02 18:37:04: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for jobs (2 left), finished 0 jobs
2025-04-02 18:37:05: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for old jobs to finish (2 left)
2025-04-02 18:37:11: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for jobs (2 left), finished 0 jobs
2025-04-02 18:37:11: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for old jobs to finish (2 left)
2025-04-02 18:37:18: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for jobs (2 left), finished 0 jobs
2025-04-02 18:37:18: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for old jobs to finish (2 left)
2025-04-02 18:37:25: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for jobs (2 left), finished 0 jobs
2025-04-02 18:37:25: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for old jobs to finish (2 left)
2025-04-02 18:37:31: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for jobs (2 left), finished 0 jobs
2025-04-02 18:37:31: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for old jobs to finish (2 left)
2025-04-02 18:37:38: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 2 (7%/30), waiting for jobs (2 left), finished 0 jobs
2025-04-02 18:37:39: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed 2 (7%/30), waiting for old jobs to finish (2 left)
2025-04-02 18:37:59: Failed jobs: 28 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed 2 (7%/30), job_failed
2025-04-02 18:38:18: Failed jobs: 29 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, failed 1 (3%/30), job_failed
2025-04-02 18:38:21: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, waiting for jobs (2 left), finished 2 jobs
2025-04-02 18:38:22: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, finished 0 jobs
2025-04-02 18:38:22: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, trying to get 30 next steps (current done: 0, max: 500)
2025-04-02 18:38:23: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, finishing jobs (_get_next_trials), finished 0 jobs
2025-04-02 18:38:23: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #1/30
2025-04-02 18:38:23: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #2/30 | ETA: 20s
2025-04-02 18:38:24: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #3/30 | ETA: 18s
2025-04-02 18:38:25: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #4/30 | ETA: 18s
2025-04-02 18:38:26: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #5/30 | ETA: 17s
2025-04-02 18:38:26: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #6/30 | ETA: 16s
2025-04-02 18:38:27: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #7/30 | ETA: 16s
2025-04-02 18:38:28: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #8/30 | ETA: 15s
2025-04-02 18:38:29: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #9/30 | ETA: 15s
2025-04-02 18:38:29: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #10/30 | ETA: 14s
2025-04-02 18:38:30: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #11/30 | ETA: 14s
2025-04-02 18:38:31: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #12/30 | ETA: 13s
2025-04-02 18:38:32: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #13/30 | ETA: 12s
2025-04-02 18:38:32: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #14/30 | ETA: 11s
2025-04-02 18:38:33: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #15/30 | ETA: 10s
2025-04-02 18:38:33: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #16/30 | ETA: 9s
2025-04-02 18:38:33: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #17/30 | ETA: 8s
2025-04-02 18:38:34: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #18/30 | ETA: 8s
2025-04-02 18:38:34: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #19/30 | ETA: 7s
2025-04-02 18:38:35: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #20/30 | ETA: 6s
2025-04-02 18:38:35: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #21/30 | ETA: 6s
2025-04-02 18:38:36: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #22/30 | ETA: 5s
2025-04-02 18:38:37: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #23/30 | ETA: 4s
2025-04-02 18:38:37: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #24/30 | ETA: 4s
2025-04-02 18:38:38: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #25/30 | ETA: 3s
2025-04-02 18:38:38: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #26/30 | ETA: 2s
2025-04-02 18:38:39: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #27/30 | ETA: 2s
2025-04-02 18:38:39: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #28/30 | ETA: 1s
2025-04-02 18:38:40: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #29/30 | ETA: 1s
2025-04-02 18:38:40: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, getting new hyperparameter set #30/30 | ETA: 0s
2025-04-02 18:38:41: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, starting parameter set
2025-04-02 18:38:41: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, starting new job
2025-04-02 18:38:43: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, unknown 1 (3%/30), started new job
2025-04-02 18:38:43: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, unknown 1 (3%/30), starting parameter set
2025-04-02 18:38:44: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 1 (3%/30), starting new job
2025-04-02 18:38:47: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), started new job
2025-04-02 18:38:47: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), starting parameter set
2025-04-02 18:38:48: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 1/1 (7%/30), starting new job
2025-04-02 18:38:50: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 1/2 (10%/30), started new job
2025-04-02 18:38:50: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 1/2 (10%/30), starting parameter set
2025-04-02 18:38:51: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 3 (10%/30), starting new job
2025-04-02 18:38:54: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 3/1 (13%/30), started new job
2025-04-02 18:38:54: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 3/1 (13%/30), starting parameter set
2025-04-02 18:38:55: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 4 (13%/30), starting new job
2025-04-02 18:38:57: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 4/1 (17%/30), started new job
2025-04-02 18:38:57: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 4/1 (17%/30), starting parameter set
2025-04-02 18:38:57: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 4/1 (17%/30), starting new job
2025-04-02 18:38:59: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 4/2 (20%/30), started new job
2025-04-02 18:38:59: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 4/2 (20%/30), starting parameter set
2025-04-02 18:38:59: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 4/2 (20%/30), starting new job
2025-04-02 18:39:01: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 5/2 (23%/30), started new job
2025-04-02 18:39:01: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 5/2 (23%/30), starting parameter set
2025-04-02 18:39:02: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 5/2 (23%/30), starting new job
2025-04-02 18:39:04: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 6/2 (27%/30), started new job
2025-04-02 18:39:04: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 6/2 (27%/30), starting parameter set
2025-04-02 18:39:04: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 6/2 (27%/30), starting new job
2025-04-02 18:39:06: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 6/3 (30%/30), started new job
2025-04-02 18:39:06: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 6/3 (30%/30), starting parameter set
2025-04-02 18:39:07: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 9 (30%/30), starting new job
2025-04-02 18:39:10: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 9/1 (33%/30), started new job
2025-04-02 18:39:10: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 9/1 (33%/30), starting parameter set
2025-04-02 18:39:11: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 10 (33%/30), starting new job
2025-04-02 18:39:13: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 10/1 (37%/30), started new job
2025-04-02 18:39:13: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 10/1 (37%/30), starting parameter set
2025-04-02 18:39:14: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 10/1 (37%/30), starting new job
2025-04-02 18:39:17: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 10/2 (40%/30), started new job
2025-04-02 18:39:17: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 10/2 (40%/30), starting parameter set
2025-04-02 18:39:18: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 12 (40%/30), starting new job
2025-04-02 18:39:20: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 12/1 (43%/30), started new job
2025-04-02 18:39:20: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 12/1 (43%/30), starting parameter set
2025-04-02 18:39:21: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 12/1 (43%/30), starting new job
2025-04-02 18:39:23: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), started new job
2025-04-02 18:39:23: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), starting parameter set
2025-04-02 18:39:23: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/1 (47%/30), starting new job
2025-04-02 18:39:25: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/2 (50%/30), started new job
2025-04-02 18:39:25: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/2 (50%/30), starting parameter set
2025-04-02 18:39:25: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/2 (50%/30), starting new job
2025-04-02 18:39:27: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/3 (53%/30), started new job
2025-04-02 18:39:27: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/3 (53%/30), starting parameter set
2025-04-02 18:39:28: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 13/3 (53%/30), starting new job
2025-04-02 18:39:30: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 15/2 (57%/30), started new job
2025-04-02 18:39:30: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 15/2 (57%/30), starting parameter set
2025-04-02 18:39:30: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 15/2 (57%/30), starting new job
2025-04-02 18:39:34: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 17/1 (60%/30), started new job
2025-04-02 18:39:34: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 17/1 (60%/30), starting parameter set
2025-04-02 18:39:35: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 17/1 (60%/30), starting new job
2025-04-02 18:39:37: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 17/2 (63%/30), started new job
2025-04-02 18:39:37: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 17/2 (63%/30), starting parameter set
2025-04-02 18:39:38: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 18/1 (63%/30), starting new job
2025-04-02 18:39:41: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 19/1 (67%/30), started new job
2025-04-02 18:39:41: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 19/1 (67%/30), starting parameter set
2025-04-02 18:39:42: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 19/1 (67%/30), starting new job
2025-04-02 18:39:44: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 19/2 (70%/30), started new job
2025-04-02 18:39:44: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 19/2 (70%/30), starting parameter set
2025-04-02 18:39:44: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 19/2 (70%/30), starting new job
2025-04-02 18:39:46: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), started new job
2025-04-02 18:39:46: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), starting parameter set
2025-04-02 18:39:47: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/1 (73%/30), starting new job
2025-04-02 18:39:49: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/2 (77%/30), started new job
2025-04-02 18:39:49: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/2 (77%/30), starting parameter set
2025-04-02 18:39:49: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 21/2 (77%/30), starting new job
2025-04-02 18:39:51: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), started new job
2025-04-02 18:39:51: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), starting parameter set
2025-04-02 18:39:52: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/1 (80%/30), starting new job
2025-04-02 18:39:54: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/2 (83%/30), started new job
2025-04-02 18:39:54: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/2 (83%/30), starting parameter set
2025-04-02 18:39:55: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 23/2 (83%/30), starting new job
2025-04-02 18:39:57: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 25/1 (87%/30), started new job
2025-04-02 18:39:57: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 25/1 (87%/30), starting parameter set
2025-04-02 18:39:58: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 25/1 (87%/30), starting new job
2025-04-02 18:40:01: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 25/2 (90%/30), started new job
2025-04-02 18:40:01: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 25/2 (90%/30), starting parameter set
2025-04-02 18:40:02: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 27 (90%/30), starting new job
2025-04-02 18:40:04: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 27/1 (93%/30), started new job
2025-04-02 18:40:05: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 27/1 (93%/30), starting parameter set
2025-04-02 18:40:05: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 27/1 (93%/30), starting new job
2025-04-02 18:40:07: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 27/2 (97%/30), started new job
2025-04-02 18:40:07: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 27/2 (97%/30), starting parameter set
2025-04-02 18:40:08: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 27/2 (97%/30), starting new job
2025-04-02 18:40:10: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending/unknown 28/2 (100%/30), started new job
2025-04-02 18:40:45: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), finishing jobs after starting them, finished 0 jobs
2025-04-02 18:40:46: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), got 30, requested 30
2025-04-02 18:41:26: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), finishing previous jobs (30), finished 0 jobs
2025-04-02 18:41:27: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 18:42:07: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 18:42:07: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 18:42:51: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 18:42:51: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 18:43:33: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 18:43:33: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 18:44:15: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 18:44:15: Failed jobs: 30 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, pending 30 (100%/30), waiting for old jobs to finish (30 left)
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_progressbar_log")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_progressbar_log", "progressbar")'> Download &raquo;progressbar&laquo; as file</button>
			
			<h1>&nbsp;Args Overview</h1>
			<h2>Arguments Overview:                                                                                           </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value                                                                                                                                                    </th></tr></thead><tbody><tr><td> config_yaml</td><td>None                                                                                                                                                     </td></tr><tr><td> config_toml</td><td>None                                                                                                                                                     </td></tr><tr><td> config_json</td><td>None                                                                                                                                                     </td></tr><tr><td> num_random_steps</td><td>20                                                                                                                                                       </td></tr><tr><td> max_eval</td><td>500                                                                                                                                                      </td></tr><tr><td> run_program</td><td>[[&#039;bW9kdWxlIGxvYWQgR0NDY29yZS8xMC4zLjAgUHl0aG9uICYmIHNvdXJjZSAvZGF0YS9ob3JzZS93cy9zNDEyMjQ4NS1jb21wUGVyZkREL2JlbmNobWFyay92ZW52L2Jpbi9hY3RpdmF0ZSAmJiBw&hellip; </td></tr><tr><td> experiment_name</td><td>CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME                                                                                             </td></tr><tr><td> mem_gb</td><td>64                                                                                                                                                       </td></tr><tr><td> parameter</td><td>[[&#039;recent_samples_size&#039;, &#039;range&#039;, &#039;1&#039;, &#039;5000&#039;, &#039;int&#039;], [&#039;n_samples&#039;, &#039;range&#039;, &#039;1&#039;, &#039;5000&#039;, &#039;int&#039;], [&#039;confidence&#039;, &#039;choice&#039;,                              </td></tr><tr><td></td><td>&#039;0.85,0.8,0.75,0.7,0.65,0.6,0.55,0.5,0.45,0.4,0.35,0.3,0.25,0.2,0.15,0.1,0.05,0.025,0.01,0.005,0.001,0.0001&#039;], [&#039;feature_proportion&#039;, &#039;range&#039;, &#039;0.001&#039;,  </td></tr><tr><td></td><td>&#039;0.999&#039;, &#039;float&#039;], [&#039;n_clusters&#039;, &#039;range&#039;, &#039;1&#039;, &#039;50&#039;, &#039;int&#039;]]                                                                                            </td></tr><tr><td> continue_previous_job</td><td>None                                                                                                                                                     </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                                                     </td></tr><tr><td> run_dir</td><td>runs                                                                                                                                                     </td></tr><tr><td> seed</td><td>None                                                                                                                                                     </td></tr><tr><td> decimalrounding</td><td>12                                                                                                                                                       </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                                                    </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                                                    </td></tr><tr><td> model</td><td>BOTORCH_MODULAR                                                                                                                                          </td></tr><tr><td> gridsearch</td><td>False                                                                                                                                                    </td></tr><tr><td> occ</td><td>False                                                                                                                                                    </td></tr><tr><td> show_sixel_scatter</td><td>False                                                                                                                                                    </td></tr><tr><td> show_sixel_general</td><td>False                                                                                                                                                    </td></tr><tr><td> show_sixel_trial_index_result</td><td>False                                                                                                                                                    </td></tr><tr><td> follow</td><td>False                                                                                                                                                    </td></tr><tr><td> send_anonymized_usage_stats</td><td>True                                                                                                                                                     </td></tr><tr><td> ui_url</td><td>None                                                                                                                                                     </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                                                           </td></tr><tr><td> exclude</td><td>None                                                                                                                                                     </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                                                        </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                                                        </td></tr><tr><td> max_nr_of_zero_results</td><td>10                                                                                                                                                       </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                                                    </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                                                     </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                                                    </td></tr><tr><td> live_share</td><td>True                                                                                                                                                     </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                                                    </td></tr><tr><td> workdir</td><td>False                                                                                                                                                    </td></tr><tr><td> max_parallelism</td><td>max_eval_times_thousand_plus_thousand                                                                                                                    </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                                                   </td></tr><tr><td> result_names</td><td>[&#039;ACCURACY=max&#039;, &#039;RUNTIME=min&#039;]                                                                                                                          </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                                                        </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                                                     </td></tr><tr><td> generate_all_jobs_at_once</td><td>True                                                                                                                                                     </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                                                     </td></tr><tr><td> load_data_from_existing_jobs</td><td>[]                                                                                                                                                       </td></tr><tr><td> num_parallel_jobs</td><td>30                                                                                                                                                       </td></tr><tr><td> worker_timeout</td><td>60                                                                                                                                                       </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                                                    </td></tr><tr><td> time</td><td>1440                                                                                                                                                     </td></tr><tr><td> partition</td><td>romeo                                                                                                                                                    </td></tr><tr><td> reservation</td><td>None                                                                                                                                                     </td></tr><tr><td> force_local_execution</td><td>False                                                                                                                                                    </td></tr><tr><td> slurm_signal_delay_s</td><td>0                                                                                                                                                        </td></tr><tr><td> nodes_per_job</td><td>1                                                                                                                                                        </td></tr><tr><td> cpus_per_task</td><td>1                                                                                                                                                        </td></tr><tr><td> account</td><td>None                                                                                                                                                     </td></tr><tr><td> gpus</td><td>0                                                                                                                                                        </td></tr><tr><td> run_mode</td><td>local                                                                                                                                                    </td></tr><tr><td> verbose</td><td>False                                                                                                                                                    </td></tr><tr><td> verbose_break_run_search_table</td><td>False                                                                                                                                                    </td></tr><tr><td> debug</td><td>False                                                                                                                                                    </td></tr><tr><td> no_sleep</td><td>False                                                                                                                                                    </td></tr><tr><td> tests</td><td>False                                                                                                                                                    </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False                                                                                                                                                    </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False                                                                                                                                                    </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False                                                                                                                                                    </td></tr><tr><td> raise_in_eval</td><td>False                                                                                                                                                    </td></tr><tr><td> show_ram_every_n_seconds</td><td>False                                                                                                                                                    </td></tr></tbody></table>
			<h1>&nbsp;Worker-Usage</h1>
			<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
<pre id="pre_tab_worker_usage">1743611471.8726094,30,0,0
1743611472.0508149,30,0,0
1743611472.1773012,30,0,0
1743611472.2182925,30,0,0
1743611472.2325335,30,0,0
1743611472.8413708,30,0,0
1743611473.447567,30,0,0
1743611474.0842175,30,0,0
1743611474.7124593,30,0,0
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1743611476.6679614,30,0,0
1743611477.3424077,30,0,0
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1743611478.5393796,30,0,0
1743611478.937813,30,0,0
1743611479.561791,30,0,0
1743611480.255305,30,0,0
1743611480.864085,30,0,0
1743611481.2762005,30,0,0
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1743611485.2702398,30,0,0
1743611485.7105784,30,0,0
1743611486.153248,30,0,0
1743611486.5970933,30,0,0
1743611487.0470626,30,0,0
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1743611488.4297986,30,0,0
1743611490.4660609,30,1,3
1743611490.553171,30,1,3
1743611490.892695,30,1,3
1743611492.835669,30,2,7
1743611492.8565903,30,2,7
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1743611499.405187,30,4,13
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1743611502.0476298,30,5,17
1743611504.0994363,30,6,20
1743611504.1148734,30,6,20
1743611504.45639,30,6,20
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1743611508.7440526,30,8,27
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1743611511.3989646,30,9,30
1743611513.4271839,30,10,33
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1743611522.5152936,30,13,43
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1743611527.3958085,30,15,50
1743611527.7388177,30,15,50
1743611529.7504365,30,16,53
1743611529.7659073,30,16,53
1743611530.1172101,30,16,53
1743611532.4490447,30,17,57
1743611532.4706476,30,17,57
1743611533.01556,30,17,57
1743611535.981197,30,18,60
1743611536.0044746,30,18,60
1743611536.5627701,30,18,60
1743611539.2800615,30,19,63
1743611539.3017664,30,19,63
1743611539.8249018,30,19,63
1743611542.4659693,30,20,67
1743611542.4816186,30,20,67
1743611542.816985,30,20,67
1743611544.6609876,30,21,70
1743611544.676623,30,21,70
1743611545.010367,30,21,70
1743611546.9459183,30,22,73
1743611546.961517,30,22,73
1743611547.2999253,30,22,73
1743611549.233363,30,23,77
1743611549.248845,30,23,77
1743611549.5861497,30,23,77
1743611551.5345323,30,24,80
1743611551.5561228,30,24,80
1743611552.0968163,30,24,80
1743611554.7692738,30,25,83
1743611554.7952838,30,25,83
1743611555.358025,30,25,83
1743611557.958521,30,26,87
1743611557.9839036,30,26,87
1743611558.571029,30,26,87
1743611561.420265,30,27,90
1743611561.4360251,30,27,90
1743611561.7917044,30,27,90
1743611563.9105341,30,28,93
1743611563.9261155,30,28,93
1743611564.2642949,30,28,93
1743611566.1119833,30,29,97
1743611566.1274087,30,29,97
1743611566.4605954,30,29,97
1743611568.418644,30,30,100
1743611584.0711808,30,30,100
1743611601.1798375,30,29,97
1743611618.609453,30,28,93
1743611636.290608,30,27,90
1743611641.2106493,30,26,87
1743611643.7400913,30,25,83
1743611645.974416,30,24,80
1743611648.1882405,30,23,77
1743611650.5362856,30,22,73
1743611653.2282476,30,21,70
1743611656.8016818,30,20,67
1743611675.163378,30,19,63
1743611693.1859295,30,18,60
1743611710.2699642,30,17,57
1743611712.3943808,30,16,53
1743611715.0469396,30,15,50
1743611717.421279,30,14,47
1743611720.9888659,30,13,43
1743611724.7176006,30,12,40
1743611728.3184297,30,11,37
1743611731.5467365,30,10,33
1743611734.3950274,30,9,30
1743611736.6714303,30,8,27
1743611753.7371488,30,7,23
1743611755.917067,30,6,20
1743611759.8162043,30,5,17
1743611759.9828641,30,5,17
1743611762.1693077,30,5,17
1743611763.3882253,30,5,17
1743611772.550581,30,5,17
1743611772.953465,30,5,17
1743611780.245653,30,5,17
1743611780.4129894,30,5,17
1743611787.6330214,30,5,17
1743611787.8010914,30,5,17
1743611794.7201245,30,5,17
1743611799.690384,30,4,13
1743611802.3363383,30,3,10
1743611804.5358975,30,2,7
1743611804.7046077,30,2,7
1743611810.9181492,30,2,7
1743611811.0836716,30,2,7
1743611818.4906452,30,2,7
1743611818.7590873,30,2,7
1743611824.9762466,30,2,7
1743611825.1446545,30,2,7
1743611831.355434,30,2,7
1743611831.5235538,30,2,7
1743611838.6026092,30,2,7
1743611838.8769596,30,2,7
1743611845.1083717,30,2,7
1743611845.2774484,30,2,7
1743611851.4832466,30,2,7
1743611851.6531577,30,2,7
1743611858.7363896,30,2,7
1743611859.005994,30,2,7
1743611879.8505318,30,2,7
1743611898.1897173,30,1,3
1743611901.6542628,30,0,0
1743611902.297188,30,0,0
1743611902.4182558,30,0,0
1743611903.0640898,30,0,0
1743611903.1255324,30,0,0
1743611903.909181,30,0,0
1743611904.6081178,30,0,0
1743611905.343288,30,0,0
1743611906.0480928,30,0,0
1743611906.7926393,30,0,0
1743611907.5651484,30,0,0
1743611908.350874,30,0,0
1743611909.1462638,30,0,0
1743611909.9357903,30,0,0
1743611910.757331,30,0,0
1743611911.5167792,30,0,0
1743611912.0545769,30,0,0
1743611912.523008,30,0,0
1743611913.0135922,30,0,0
1743611913.49133,30,0,0
1743611913.9704075,30,0,0
1743611914.4721994,30,0,0
1743611914.9735718,30,0,0
1743611915.4846041,30,0,0
1743611915.9877322,30,0,0
1743611916.4972923,30,0,0
1743611917.00754,30,0,0
1743611917.5233185,30,0,0
1743611918.0434644,30,0,0
1743611918.565508,30,0,0
1743611919.0901432,30,0,0
1743611919.6123788,30,0,0
1743611920.141453,30,0,0
1743611920.6798375,30,0,0
1743611921.2338164,30,0,0
1743611921.611813,30,0,0
1743611923.9028497,30,1,3
1743611923.9674604,30,1,3
1743611924.5462446,30,1,3
1743611927.2831705,30,2,7
1743611927.3553216,30,2,7
1743611927.9865496,30,2,7
1743611930.771265,30,3,10
1743611930.8654022,30,3,10
1743611931.481232,30,3,10
1743611934.193039,30,4,13
1743611934.2747362,30,4,13
1743611934.8564699,30,4,13
1743611937.031842,30,5,17
1743611937.078861,30,5,17
1743611937.4419227,30,5,17
1743611939.384599,30,6,20
1743611939.4322324,30,6,20
1743611939.796294,30,6,20
1743611941.6633554,30,7,23
1743611941.7105968,30,7,23
1743611942.07214,30,7,23
1743611944.0202806,30,8,27
1743611944.0678017,30,8,27
1743611944.455206,30,8,27
1743611946.481554,30,9,30
1743611946.544259,30,9,30
1743611947.1178083,30,9,30
1743611950.3462663,30,10,33
1743611950.4216232,30,10,33
1743611951.0196447,30,10,33
1743611953.7697206,30,11,37
1743611953.8456798,30,11,37
1743611954.4605267,30,11,37
1743611957.3087585,30,12,40
1743611957.379574,30,12,40
1743611958.0002563,30,12,40
1743611960.6625836,30,13,43
1743611960.711038,30,13,43
1743611961.0780985,30,13,43
1743611963.0926642,30,14,47
1743611963.1403456,30,14,47
1743611963.502356,30,14,47
1743611965.4114764,30,15,50
1743611965.4595568,30,15,50
1743611965.8240225,30,15,50
1743611967.6954033,30,16,53
1743611967.7469385,30,16,53
1743611968.1108046,30,16,53
1743611970.0516634,30,17,57
1743611970.117115,30,17,57
1743611970.6845717,30,17,57
1743611974.4585948,30,18,60
1743611974.5296435,30,18,60
1743611975.1303554,30,18,60
1743611977.9140172,30,19,63
1743611977.987194,30,19,63
1743611978.609251,30,19,63
1743611981.4865267,30,20,67
1743611981.562221,30,20,67
1743611982.0798633,30,20,67
1743611984.218069,30,21,70
1743611984.2657502,30,21,70
1743611984.629411,30,21,70
1743611986.7298238,30,22,73
1743611986.7773879,30,22,73
1743611987.1378462,30,22,73
1743611989.489008,30,23,77
1743611989.536707,30,23,77
1743611989.9029768,30,23,77
1743611991.732261,30,24,80
1743611991.7801797,30,24,80
1743611992.1430542,30,24,80
1743611994.198205,30,25,83
1743611994.2631068,30,25,83
1743611994.8483586,30,25,83
1743611997.5584345,30,26,87
1743611997.6315286,30,26,87
1743611998.237236,30,26,87
1743612001.2906117,30,27,90
1743612001.3806705,30,27,90
1743612002.0022848,30,27,90
1743612004.9219446,30,28,93
1743612005.0016441,30,28,93
1743612005.5937107,30,28,93
1743612007.7467248,30,29,97
1743612007.7943716,30,29,97
1743612008.159645,30,29,97
1743612010.1872246,30,30,100
1743612045.8446267,30,30,100
1743612046.102074,30,30,100
1743612086.279177,30,30,100
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
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			<h1>&nbsp;CPU/RAM-Usage (main)</h1>
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<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1743611465,578.58203125,19.1
1743611471,578.83984375,18.4
1743611471,578.83984375,18.2
1743611471,578.83984375,15.8
1743611471,578.83984375,19.5
1743611472,578.83984375,18.2
1743611472,578.83984375,20.9
1743611763,594.203125,17.5
1743611763,594.203125,9.7
1743611763,594.203125,17.7
1743611763,594.203125,10.7
1743612087,599.69140625,17.3
1743612087,599.69140625,18.8
1743612087,599.69140625,17.2
1743612087,599.69140625,18.9
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