OmniOpt2

Experiment overview

Setting	Value
Max. nr. evaluations	60
Max. nr. evaluations (from arguments)	30
Number random steps	20
Nr. of workers (parameter)	20
Main process memory (GB)	8
Worker memory (GB)	4
Nr. imported jobs	30

Best RESULT, min (total: 30 + inserted jobs: 30)

OO_Info_int_param	OO_Info_int_param_two	OO_Info_float_param	OO_Info_choice_param	OO_Info_SLURM_JOB_ID	int_param	float_param	int_param_two	choice_param	RESULT
nan	nan	nan	nan	nan	-100	-100.0	-100	16	-331437.32

Job Summary per Generation Node

Generation Node	Total	ABANDONED	COMPLETED
SOBOL	20	0	20
BOTORCH_MODULAR	62	22	40

Experiment parameters

Name	Type	Lower bound	Upper bound	Values	Type	Log Scale?
int_param	rangeparameter	-100	10		int	No
float_param	rangeparameter	-100	10		float	No
choice_param	choiceparameter			1, 2, 4, 8, 16, hallo
int_param_two	rangeparameter	-100	10		int	No

Number of evaluations

Failed	Succeeded	Running	Total
0	60	0	82

Result names and types

name	min/max
RESULT	min

Last progressbar status

2025-12-29 10:47:18 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, waiting for 3 jobs, finished 3 jobs

Git-Version

Commit: 815910076e3b15c9f886789a2fc0797945e4f03f (9210)

trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_int_param,OO_Info_int_param_two,OO_Info_float_param,OO_Info_choice_param,OO_Info_SLURM_JOB_ID,arm_name,trial_status,generation_node,RESULT,int_param,float_param,int_param_two,choice_param
0,,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,-120996.321998990999418310821056365967,-32,-70.74760854244232177734375,-65,16
1,,,,,,,,,,,,,,,,1_0,COMPLETED,SOBOL,-77198.60826215879933442920446395874,-71,-30.9189201705157756805419921875,-20,8
2,,,,,,,,,,,,,,,,2_0,COMPLETED,SOBOL,-163475.927860349009279161691665649414,-85,-84.66014045290648937225341796875,-1,16
3,,,,,,,,,,,,,,,,3_0,COMPLETED,SOBOL,-101315.396820260997628793120384216309,10,-14.32686425745487213134765625,-94,1
4,,,,,,,,,,,,,,,,4_0,COMPLETED,SOBOL,-99550.074928751404513604938983917236,-13,-90.86634181439876556396484375,-15,hallo
5,,,,,,,,,,,,,,,,5_0,COMPLETED,SOBOL,-166035.371460290014510974287986755371,-92,3.79785773344337940216064453125,-80,8
6,,,,,,,,,,,,,,,,6_0,COMPLETED,SOBOL,-91367.92784569590003229677677154541,-49,-50.6285968236625194549560546875,-51,1
7,,,,,,,,,,,,,,,,7_0,COMPLETED,SOBOL,-42391.050004371900286059826612472534,-28,-35.45309630222618579864501953125,-34,4
8,,,,,,,,,,,,,,,,8_0,COMPLETED,SOBOL,-79174.773298430198337882757186889648,-24,-78.3159368298947811126708984375,-5,1
9,,,,,,,,,,,,,,,,9_0,COMPLETED,SOBOL,-102021.674107648999779485166072845459,-53,-7.76539896614849567413330078125,-77,4
10,,,,,,,,,,,,,,,,10_0,COMPLETED,SOBOL,-181187.138041958998655900359153747559,-95,-63.12445819377899169921875,-54,8
11,,,,,,,,,,,,,,,,11_0,COMPLETED,SOBOL,-34725.093198138201842084527015686035,-10,-23.94438321702182292938232421875,-44,hallo
12,,,,,,,,,,,,,,,,12_0,COMPLETED,SOBOL,-93424.530570599396014586091041564941,-1,-57.40161101333796977996826171875,-68,16
13,,,,,,,,,,,,,,,,13_0,COMPLETED,SOBOL,-98832.958054723800159990787506103516,-75,-41.5858756005764007568359375,-31,1
14,,,,,,,,,,,,,,,,14_0,COMPLETED,SOBOL,-150489.329767082992475479841232299805,-61,-98.05901695974171161651611328125,10,4
15,,,,,,,,,,,,,,,,15_0,COMPLETED,SOBOL,-112548.129751775006297975778579711914,-42,-3.6070305667817592620849609375,-90,1
16,,,,,,,,,,,,,,,,16_0,COMPLETED,SOBOL,-179927.77614007500233128666877746582,-39,-94.25626234151422977447509765625,-74,8
17,,,,,,,,,,,,,,,,17_0,COMPLETED,SOBOL,-50885.230692273100430611521005630493,-64,0.3576870821416378021240234375,-7,16
18,,,,,,,,,,,,,,,,18_0,COMPLETED,SOBOL,-123952.782121754993568174540996551514,-78,-54.03478815220296382904052734375,-40,4
19,,,,,,,,,,,,,,,,19_0,COMPLETED,SOBOL,-58926.674406063400965649634599685669,3,-38.916459791362285614013671875,-58,hallo
20,,,,,,,,,,,,,,,,20_0,COMPLETED,BOTORCH_MODULAR,-330230.919999999983701854944229125977,-100,-100,-100,8
21,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,8
22,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,8
23,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,8
24,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,8
25,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,8
26,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,8
27,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,8
28,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,8
29,,,,,,,,,,,,,,,,29_0,COMPLETED,BOTORCH_MODULAR,-331437.320000000006984919309616088867,-100,-100,-100,16
30,,,,,,,,,,,,,,,,29_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
31,,,,,,,,,,,,,,,,29_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
32,,,,,,,,,,,,,,,,29_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
33,,,,,,,,,,,,,,,,29_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
34,,,,,,,,,,,,,,,,29_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
35,,,,,,,,,,,,,,,,29_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
36,,,,,,,,,,,,,,,,29_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
37,,,,,,,,,,,,,,,,37_0,COMPLETED,BOTORCH_MODULAR,-221354.119999999995343387126922607422,-100,-100,10,2
38,,,,,,,,,,,,,,,,37_0,COMPLETED,BOTORCH_MODULAR,-221354.119999999995343387126922607422,-100,-100,10,2
39,,,,,,,,,,,,,,,,39_0,COMPLETED,BOTORCH_MODULAR,-330412.520000000018626451492309570312,-100,-100,-100,hallo
40,,,,,,,,,,,,,,,,37_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,10,2
41,,,,,,,,,,,,,,,,41_0,COMPLETED,BOTORCH_MODULAR,-330166.119999999995343387126922607422,-100,-100,-100,2
42,,,,,,,,,,,,,,,,41_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,2
43,,,,,,,,,,,,,,,,41_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,2
44,,,,,,,,,,,,,,,,41_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,2
45,,,,,,,,,,,,,,,,45_0,COMPLETED,BOTORCH_MODULAR,-330225.320000000006984919309616088867,-100,-100,-100,1
46,,,,,,,,,,,,,,,,45_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,1
47,,,,,,,,,,,,,,,,45_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,1
48,,,,,,,,,,,,,,,,48_0,COMPLETED,BOTORCH_MODULAR,-330107.719999999972060322761535644531,-100,-100,-100,4
49,,,,,,,,,,,,,,,,48_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,4
50,,,,,,,,,,,,,,,,50_0,COMPLETED,BOTORCH_MODULAR,-29450.079394433498237049207091331482,3,-47.449174821376800537109375,-7,hallo
51,,,,,,,,,,,,,,,,51_0,COMPLETED,BOTORCH_MODULAR,-101917.811239030997967347502708435059,-47,1.3765867054462432861328125,-81,16
52,1767001433,100,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001533,1767001539,6,./.tests/optimization_example  --int_param='-57' --float_param='-89.79140102863311767578' --choice_param='hallo' --int_param_two='-30' --nr_results=1,0,,c155,-57,-30,-89.791401028633103464926534797996,hallo,2115480,52_0,COMPLETED,BOTORCH_MODULAR,-140876.617089711013250052928924560547,-57,-89.79140102863311767578125,-30,hallo
53,1767001433,69,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001502,1767001509,7,./.tests/optimization_example  --int_param='-22' --float_param='-39.18690009042620658875' --choice_param='1' --int_param_two='-55' --nr_results=1,0,,c71,-22,-55,-39.1869000904262065887451171875,1,2115477,53_0,COMPLETED,BOTORCH_MODULAR,-62620.141396013103076256811618804932,-22,-39.1869000904262065887451171875,-55,1
54,1767001435,98,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001533,1767001539,6,./.tests/optimization_example  --int_param='-8' --float_param='-49.00625130161643028259' --choice_param='8' --int_param_two='-76' --nr_results=1,0,,c103,-8,-76,-49.0062513016164302825927734375,8,2115485,54_0,COMPLETED,BOTORCH_MODULAR,-96022.871796533494489267468452453613,-8,-49.0062513016164302825927734375,-76,8
55,1767001434,111,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001545,1767001551,6,./.tests/optimization_example  --int_param='-99' --float_param='1.7963614780455827713' --choice_param='16' --int_param_two='5' --nr_results=1,0,,c108,-99,5,1.79636147804558277130126953125,16,2115484,55_0,COMPLETED,BOTORCH_MODULAR,-110081.952997793996473774313926696777,-99,1.79636147804558277130126953125,5,16
56,1767001433,70,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001503,1767001509,6,./.tests/optimization_example  --int_param='-75' --float_param='-59.80812435969710350037' --choice_param='1' --int_param_two='-95' --nr_results=1,0,,c155,-75,-95,-59.8081243596971035003662109375,1,2115468,56_0,COMPLETED,BOTORCH_MODULAR,-205480.249830220011062920093536376953,-75,-59.8081243596971035003662109375,-95,1
57,1767001433,82,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001515,1767001521,6,./.tests/optimization_example  --int_param='2' --float_param='-14.14836007170379161835' --choice_param='4' --int_param_two='-14' --nr_results=1,0,,c88,2,-14,-14.14836007170379161834716796875,4,2115475,57_0,COMPLETED,BOTORCH_MODULAR,-7449.116934356199635658413171768188,2,-14.14836007170379161834716796875,-14,4
58,1767001433,39,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001472,1767001478,6,./.tests/optimization_example  --int_param='-40' --float_param='-73.83157665841281414032' --choice_param='8' --int_param_two='-35' --nr_results=1,0,,c63,-40,-35,-73.83157665841281414031982421875,8,2115470,58_0,COMPLETED,BOTORCH_MODULAR,-98457.094784512199112214148044586182,-40,-73.83157665841281414031982421875,-35,8
59,1767001433,81,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001514,1767001520,6,./.tests/optimization_example  --int_param='-61' --float_param='-28.39677957817912101746' --choice_param='2' --int_param_two='-60' --nr_results=1,0,,c115,-61,-60,-28.3967795781791210174560546875,2,2115473,59_0,COMPLETED,BOTORCH_MODULAR,-96733.568861934792948886752128601074,-61,-28.3967795781791210174560546875,-60,2
60,1767001433,74,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001507,1767001513,6,./.tests/optimization_example  --int_param='-66' --float_param='-58.6225919332355260849' --choice_param='1' --int_param_two='-88' --nr_results=1,0,,c155,-66,-88,-58.62259193323552608489990234375,1,2115471,60_0,COMPLETED,BOTORCH_MODULAR,-176915.262043030001223087310791015625,-66,-58.62259193323552608489990234375,-88,1
61,1767001433,69,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001502,1767001508,6,./.tests/optimization_example  --int_param='-34' --float_param='7.44646457955241203308' --choice_param='8' --int_param_two='-7' --nr_results=1,0,,c85,-34,-7,7.446464579552412921259474387625,8,2115476,61_0,COMPLETED,BOTORCH_MODULAR,-17063.171889389999705599620938301086,-34,7.4464645795524120330810546875,-7,8
62,1767001433,15,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001448,1767001455,7,./.tests/optimization_example  --int_param='8' --float_param='-99.50848931446671485901' --choice_param='2' --int_param_two='-42' --nr_results=1,0,,c143,8,-42,-99.5084893144667148590087890625,2,2115467,62_0,COMPLETED,BOTORCH_MODULAR,-131226.763387919985689222812652587891,8,-99.5084893144667148590087890625,-42,2
63,1767001433,39,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001472,1767001478,6,./.tests/optimization_example  --int_param='-80' --float_param='-33.23460719548165798187' --choice_param='4' --int_param_two='-67' --nr_results=1,0,,c143,-80,-67,-33.23460719548165798187255859375,4,2115469,63_0,COMPLETED,BOTORCH_MODULAR,-138382.971873928006971254944801330566,-80,-33.23460719548165798187255859375,-67,4
64,1767001433,100,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001533,1767001539,6,./.tests/optimization_example  --int_param='-91' --float_param='-81.95245603099465370178' --choice_param='4' --int_param_two='-23' --nr_results=1,0,,c155,-91,-23,-81.9524560309946537017822265625,4,2115479,64_0,COMPLETED,BOTORCH_MODULAR,-175778.616098221013089641928672790527,-91,-81.9524560309946537017822265625,-23,4
65,1767001433,99,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001532,1767001538,6,./.tests/optimization_example  --int_param='-17' --float_param='-24.25892240367829799652' --choice_param='8' --int_param_two='-48' --nr_results=1,0,,c143,-17,-48,-24.258922403678294443807317293249,8,2115481,65_0,COMPLETED,BOTORCH_MODULAR,-41367.365402244700817391276359558105,-17,-24.25892240367829799652099609375,-48,8
66,1767001433,69,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001502,1767001508,6,./.tests/optimization_example  --int_param='-31' --float_param='-67.58653073571622371674' --choice_param='8' --int_param_two='-83' --nr_results=1,0,,c63,-31,-83,-67.58653073571622371673583984375,8,2115478,66_0,COMPLETED,BOTORCH_MODULAR,-142614.564442470989888533949851989746,-31,-67.58653073571622371673583984375,-83,8
67,1767001434,99,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001533,1767001539,6,./.tests/optimization_example  --int_param='-49' --float_param='-10.12467818334698677063' --choice_param='16' --int_param_two='-2' --nr_results=1,0,,c119,-49,-2,-10.1246781833469867706298828125,16,2115482,67_0,COMPLETED,BOTORCH_MODULAR,-33581.278901498102641198784112930298,-49,-10.1246781833469867706298828125,-2,16
68,1767001434,99,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001533,1767001539,6,./.tests/optimization_example  --int_param='-46' --float_param='-69.92745100520551204681' --choice_param='8' --int_param_two='-6' --nr_results=1,0,,c115,-46,-6,-69.92745100520551204681396484375,8,2115483,68_0,COMPLETED,BOTORCH_MODULAR,-83749.349141374696046113967895507812,-46,-69.92745100520551204681396484375,-6,8
69,1767001434,110,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001544,1767001551,7,./.tests/optimization_example  --int_param='-26' --float_param='-3.86767851188778877258' --choice_param='2' --int_param_two='-93' --nr_results=1,0,,c102,-26,-93,-3.8676785118877887725830078125,2,2115486,69_0,COMPLETED,BOTORCH_MODULAR,-105780.07722190200001932680606842041,-26,-3.8676785118877887725830078125,-93,2
70,1767001434,69,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001503,1767001509,6,./.tests/optimization_example  --int_param='-12' --float_param='-84.28356776013970375061' --choice_param='16' --int_param_two='-72' --nr_results=1,0,,c99,-12,-72,-84.283567760139689539755636360496,16,2115474,70_0,COMPLETED,BOTORCH_MODULAR,-142709.274719795008422806859016418457,-12,-84.2835677601397037506103515625,-72,16
71,1767001434,68,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001502,1767001508,6,./.tests/optimization_example  --int_param='-88' --float_param='-17.99872315488755702972' --choice_param='1' --int_param_two='-41' --nr_results=1,0,,c143,-88,-41,-17.99872315488755702972412109375,1,2115472,71_0,COMPLETED,BOTORCH_MODULAR,-113027.932667551998747512698173522949,-88,-17.99872315488755702972412109375,-41,1
72,1767001578,15,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001593,1767001599,6,./.tests/optimization_example  --int_param='-85' --float_param='-93.24729347601532936096' --choice_param='8' --int_param_two='-50' --nr_results=1,0,,c137,-85,-50,-93.247293476015343571816629264504,8,2115518,72_0,COMPLETED,BOTORCH_MODULAR,-207766.226753622991964221000671386719,-85,-93.2472934760153293609619140625,-50,8
73,1767001579,44,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001623,1767001629,6,./.tests/optimization_example  --int_param='5' --float_param='-35.56965283118188381195' --choice_param='4' --int_param_two='-17' --nr_results=1,0,,c139,5,-17,-35.56965283118188381195068359375,4,2115526,73_0,COMPLETED,BOTORCH_MODULAR,-21343.087308426198433153331279754639,5,-35.56965283118188381195068359375,-17,4
74,1767001578,15,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001593,1767001599,6,./.tests/optimization_example  --int_param='-37' --float_param='-52.3716242518275976181' --choice_param='4' --int_param_two='4' --nr_results=1,0,,c134,-37,4,-52.37162425182759761810302734375,4,2115519,74_0,COMPLETED,BOTORCH_MODULAR,-50919.952692928898613899946212768555,-37,-52.37162425182759761810302734375,4,4
75,1767001578,15,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001593,1767001599,6,./.tests/optimization_example  --int_param='-71' --float_param='5.10779974982142448425' --choice_param='hallo' --int_param_two='-85' --nr_results=1,0,,c116,-71,-85,5.107799749821423596074509987375,hallo,2115520,75_0,COMPLETED,BOTORCH_MODULAR,-138526.636207861010916531085968017578,-71,5.1077997498214244842529296875,-85,hallo
76,1767001579,15,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001594,1767001600,6,./.tests/optimization_example  --int_param='-65' --float_param='-78.31863309256732463837' --choice_param='16' --int_param_two='-57' --nr_results=1,0,,c67,-65,-57,-78.31863309256732463836669921875,16,2115523,76_0,COMPLETED,BOTORCH_MODULAR,-157941.666204139008186757564544677734,-65,-78.31863309256732463836669921875,-57,16
77,1767001579,44,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001623,1767001629,6,./.tests/optimization_example  --int_param='-42' --float_param='-27.73180840536952018738' --choice_param='2' --int_param_two='-25' --nr_results=1,0,,c154,-42,-25,-27.7318084053695201873779296875,2,2115524,77_0,COMPLETED,BOTORCH_MODULAR,-41913.832814858200435992330312728882,-42,-27.7318084053695201873779296875,-25,2
78,1767001579,43,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001622,1767001628,6,./.tests/optimization_example  --int_param='0' --float_param='-64.29166650399565696716' --choice_param='16' --int_param_two='10' --nr_results=1,0,,c137,0,10,-64.2916665039956569671630859375,16,2115527,78_0,COMPLETED,BOTORCH_MODULAR,-50188.670469009499356616288423538208,0,-64.2916665039956569671630859375,10,16
79,1767001578,28,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001606,1767001612,6,./.tests/optimization_example  --int_param='-79' --float_param='-13.47305583767592906952' --choice_param='8' --int_param_two='-78' --nr_results=1,0,,c106,-79,-78,-13.4730558376759272931622035685,8,2115521,79_0,COMPLETED,BOTORCH_MODULAR,-142539.05791981899528764188289642334,-79,-13.47305583767592906951904296875,-78,8
80,1767001579,27,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001606,1767001612,6,./.tests/optimization_example  --int_param='-97' --float_param='-48.33204856142401695251' --choice_param='2' --int_param_two='-13' --nr_results=1,0,,c68,-97,-13,-48.3320485614240169525146484375,2,2115522,80_0,COMPLETED,BOTORCH_MODULAR,-136072.794037581013981252908706665039,-97,-48.3320485614240169525146484375,-13,2
81,1767001579,44,17939c43-994a-4e5b-8cbf-5321ec4771e2,1767001623,1767001629,6,./.tests/optimization_example  --int_param='-4' --float_param='-2.68314185552299022675' --choice_param='1' --int_param_two='-100' --nr_results=1,0,,c145,-4,-100,-2.68314185552299022674560546875,1,2115525,81_0,COMPLETED,BOTORCH_MODULAR,-110933.626687721000052988529205322266,-4,-2.68314185552299022674560546875,-100,1


========================================================================

To cancel, press CTRL c, then run 'scancel 2115416'
⠋ Importing logging...
⠋ Importing warnings...
⠋ Importing argparse...
⠋ Importing datetime...
⠋ Importing dataclass...
⠋ Importing socket...
⠋ Importing stat...
⠋ Importing pwd...
⠋ Importing base64...
⠋ Importing json...
⠋ Importing yaml...
⠋ Importing toml...
⠋ Importing csv...
⠋ Importing ast...
⠋ Importing rich.table...
⠋ Importing rich print...
⠋ Importing rich.pretty...
⠋ Importing pformat...
⠋ Importing rich.prompt...
⠋ Importing types.FunctionType...
⠋ Importing typing...
⠋ Importing ThreadPoolExecutor...
⠋ Importing submitit.LocalExecutor...
⠋ Importing submitit.Job...
⠋ Importing importlib.util...
⠋ Importing platform...
⠋ Importing inspect frame info...
⠋ Importing pathlib.Path...
⠋ Importing uuid...
⠋ Importing cowsay...
⠋ Importing shutil...
⠋ Importing itertools.combinations...
⠋ Importing os.listdir...
⠋ Importing os.path...
⠋ Importing PIL.Image...
⠋ Importing sixel...
⠋ Importing subprocess...
⠋ Importing tqdm...
⠋ Importing beartype...
[WARNING 12-29 10:43:01] ax.service.utils.with_db_settings_base: Ax currently requires a sqlalchemy version below 2.0. This will be addressed in a future release. Disabling SQL storage in Ax for now, if you would like to use SQL storage please install Ax with mysql extras via `pip install ax-platform[mysql]`.
⠴ Importing rendering stuff...
⠋ Importing statistics...
⠋ Trying to import pyfiglet...
⠙ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠋ Importing torch...
⠋ Importing numpy...
⠋ Importing ax...
⠋ Importing ax.core.generator_run...
⠋ Importing Cont_X_trans and Y_trans from ax.adapter.registry...
⠋ Importing ax.core.arm...
⠋ Importing ax.core.objective...
⠋ Importing ax.core.Metric...
⠋ Importing ax.exceptions.core...
⠋ Importing ax.exceptions.generation_strategy...
⠋ Importing CORE_DECODER_REGISTRY...
⠋ Trying ax.generation_strategy.generation_node...
⠋ Importing GenerationStep, GenerationStrategy from generation_strategy...
⠋ Importing GenerationNode from generation_node...
⠋ Importing ExternalGenerationNode...
⠋ Importing MinTrials...
⠋ Importing GeneratorSpec...
⠋ Importing Generators from ax.generation_strategy.registry...
⠋ Importing get_pending_observation_features...
⠋ Importing load_experiment...
⠋ Importing save_experiment...
⠋ Importing save_experiment_to_db...
⠋ Importing TrialStatus...
⠋ Importing Data...
⠋ Importing Experiment...
⠋ Importing parameter types...
⠋ Importing TParameterization...
⠋ Importing pandas...
⠋ Importing AxClient and ObjectiveProperties...
⠋ Importing RandomForestRegressor...
⠋ Importing botorch...
⠋ Importing submitit...
⠋ Importing ax logger...
⠋ Importing SQL-Storage-Stuff...
Using old run's --time: 60
Run-UUID: f2a3d0a0-5777-4a8a-ad86-e9a0dcfb66de
  ______   .___  ___. .__   __.  __    ______   .______   .___________.___   
 /  __  \  |   \/   | |  \ |  | |  |  /  __  \  |   _  \  |           |__ \  
|  |  |  | |  \  /  | |   \|  | |  | |  |  |  | |  |_)  | `---|  |----`  ) | 
|  |  |  | |  |\/|  | |  . `  | |  | |  |  |  | |   ___/      |  |      / /  
|  `--'  | |  |  |  | |  |\   | |  | |  `--'  | |  |          |  |     / /_  
 \______/  |__|  |__| |__| \__| |__|  \______/  | _|          |__|    |____| 
                                                                             

⠋ Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0 --num_parallel_jobs 20 --worker_timeout 10 --follow --gpus=1 --mem_gb=4 --num_random_steps=20 --max_eval=30 --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share --live_share
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /home/h8/s3811141/test/randomtest_93382/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1...
⠋ Writing revert_to_random_when_seemingly_exhausted file ...
⠋ Writing username state file...
⠋ Writing result names file...
⠋ Writing result min/max file...
⠋ Saving state files...
Run-folder: /home/h8/s3811141/test/randomtest_93382/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0
⠋ Writing live_share file if it is present...
⠋ Writing job_start_time file...
⠼ Writing git information
⠋ Checking max_eval...
⠋ Calculating number of steps...
⠋ Adding excluded nodes...
⠋ Initializing ax_client...
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=s3811141&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=55 for live-results.

You have 1 CPUs available for the main process. Using CUDA device NVIDIA H100.
Generation strategy: BOTORCH_MODULAR for 70 steps.
Run-Program: ./.tests/optimization_example  --int_param='%(int_param)' --float_param='%(float_param)' --choice_param='%(choice_param)' --int_param_two='%(int_param_two)' --nr_results=1
                                           Experiment parameters                                            
┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name          ┃ Type            ┃ Lower bound ┃ Upper bound ┃ Values                ┃ Type  ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ int_param     │ rangeparameter  │ -100        │ 10          │                       │ int   │ No         │
│ float_param   │ rangeparameter  │ -100        │ 10          │                       │ float │ No         │
│ choice_param  │ choiceparameter │             │             │ 1, 2, 4, 8, 16, hallo │       │            │
│ int_param_two │ rangeparameter  │ -100        │ 10          │                       │ int   │ No         │
└───────────────┴─────────────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
        Result-Names         
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT      │         min │
└─────────────┴─────────────┘
⠋ Write files and show overview
BOTORCH_MODULAR, best RESULT: -331437.32, waiting for 3 jobs, finished 3 jobs                                        : 100%|██████████| 60/60 [04:08<00:00,  4.13s/it]
                                                                   Best RESULT, min (total: 30 + inserted jobs: 30)                                                                    
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━┓
┃ OO_Info_int_param ┃ OO_Info_int_param_two ┃ OO_Info_float_param ┃ OO_Info_choice_param ┃ OO_Info_SLURM_JOB_ID ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT     ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩
│ nan               │ nan                   │ nan                 │ nan                  │ nan                  │ -100      │ -100.0      │ -100          │ 16           │ -331437.32 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴──────────────────────┴───────────┴─────────────┴───────────────┴──────────────┴────────────┘
                                Runtime Infos                                 
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time  ┃ Max time  ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│          30           │ 6.00 sec  │ 7.00 sec  │   6.10 sec   │  6.00 sec   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘

2025-12-29 10:43:12 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-12-29 10:43:40 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #1/20
2025-12-29 10:43:40 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #2/20
2025-12-29 10:43:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #3/20
2025-12-29 10:43:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #4/20
2025-12-29 10:43:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #5/20
2025-12-29 10:43:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #6/20
2025-12-29 10:43:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #7/20
2025-12-29 10:43:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #8/20
2025-12-29 10:43:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #9/20
2025-12-29 10:43:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #10/20
2025-12-29 10:43:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #11/20
2025-12-29 10:43:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #12/20
2025-12-29 10:43:42 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #13/20
2025-12-29 10:43:42 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #14/20
2025-12-29 10:43:42 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #15/20
2025-12-29 10:43:42 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #16/20
2025-12-29 10:43:42 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #17/20
2025-12-29 10:43:42 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #18/20
2025-12-29 10:43:42 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #19/20
2025-12-29 10:43:42 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, getting new HP set #20/20
2025-12-29 10:43:42 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, requested 20 jobs, got 20, 1.51 s/job
2025-12-29 10:43:43 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #1/20 start                     
2025-12-29 10:43:44 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #2/20 start                     
2025-12-29 10:43:44 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #3/20 start                     
2025-12-29 10:43:45 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #4/20 start                     
2025-12-29 10:43:46 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #5/20 start                     
2025-12-29 10:43:46 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #6/20 start                     
2025-12-29 10:43:46 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #7/20 start                     
2025-12-29 10:43:47 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #8/20 start                     
2025-12-29 10:43:48 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #9/20 start                     
2025-12-29 10:43:48 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #10/20 start                    
2025-12-29 10:43:49 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #11/20 start                    
2025-12-29 10:43:49 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #12/20 start                    
2025-12-29 10:43:50 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #13/20 start                    
2025-12-29 10:43:51 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #14/20 start                    
2025-12-29 10:43:51 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #15/20 start                    
2025-12-29 10:43:51 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #16/20 start                    
2025-12-29 10:43:51 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #17/20 start                    
2025-12-29 10:43:52 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #18/20 start                    
2025-12-29 10:43:52 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #19/20 start                    
2025-12-29 10:43:52 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, eval #20/20 start                    
2025-12-29 10:43:53 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, starting new job                     
2025-12-29 10:43:54 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 1 = ∑1/20, started new job   
2025-12-29 10:43:54 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 1 = ∑1/20, starting new job  
2025-12-29 10:43:54 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 2 = ∑2/20, started new job   
2025-12-29 10:43:54 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 2 = ∑2/20, starting new job  
2025-12-29 10:43:54 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 3 = ∑3/20, started new job   
2025-12-29 10:43:54 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 3 = ∑3/20, starting new job  
2025-12-29 10:43:54 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 4 = ∑4/20, started new job   
2025-12-29 10:43:54 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 4 = ∑4/20, starting new job  
2025-12-29 10:43:55 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 5 = ∑5/20, started new job   
2025-12-29 10:43:55 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 6 = ∑6/20, starting new job  
2025-12-29 10:43:55 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 6 = ∑6/20, started new job   
2025-12-29 10:43:55 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 7 = ∑7/20, started new job   
2025-12-29 10:43:55 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 8 = ∑8/20, started new job   
2025-12-29 10:43:55 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 9 = ∑9/20, started new job   
2025-12-29 10:43:56 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 10 = ∑10/20, started new job 
2025-12-29 10:43:56 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 11 = ∑11/20, started new job 
2025-12-29 10:43:56 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 12 = ∑12/20, started new job 
2025-12-29 10:43:56 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 13 = ∑13/20, started new job 
2025-12-29 10:43:56 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 14 = ∑14/20, started new job 
2025-12-29 10:43:57 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 15 = ∑15/20, started new job 
2025-12-29 10:43:57 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 16 = ∑16/20, started new job 
2025-12-29 10:43:57 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, unknown 17 = ∑17/20, started new job 
2025-12-29 10:43:57 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, pending/unknown 17/1 = ∑18/20, started new job
2025-12-29 10:43:57 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, pending/unknown 17/2 = ∑19/20, started new job
2025-12-29 10:43:58 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, pending/unknown 17/3 = ∑20/20, started new job
2025-12-29 10:43:59 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, pending/unknown 17/3 = ∑20/20, waiting for 20 jobs
2025-12-29 10:44:03 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, pending 20 = ∑20/20, waiting for 20 jobs          
2025-12-29 10:44:08 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, running/pending 1/19 = ∑20/20, waiting for 20 jobs
2025-12-29 10:44:15 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, running/pending 1/19 = ∑20/20, new result: RESULT: -131226.763388
2025-12-29 10:44:17 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-12-29 10:44:17 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 19 = ∑19/20, waiting for 19 jobs                
2025-12-29 10:44:38 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 19 = ∑19/20, new result: RESULT: -98457.094785  
2025-12-29 10:44:38 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 19 = ∑19/20, new result: RESULT: -138382.971874 
2025-12-29 10:44:42 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 17 = ∑17/20, waiting for 19 jobs, finished 2 jobs
2025-12-29 10:44:42 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 17 = ∑17/20, waiting for 17 jobs                 
2025-12-29 10:45:08 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 17 = ∑17/20, new result: RESULT: -142614.564442  
2025-12-29 10:45:08 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 17 = ∑17/20, new result: RESULT: -113027.932668  
2025-12-29 10:45:12 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 15 = ∑15/20, waiting for 17 jobs, finished 2 jobs
2025-12-29 10:45:12 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 15 = ∑15/20, waiting for 15 jobs                 
2025-12-29 10:45:12 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 15 = ∑15/20, new result: RESULT: -62620.141396   
2025-12-29 10:45:12 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 15 = ∑15/20, new result: RESULT: -142709.274720  
2025-12-29 10:45:12 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 15 = ∑15/20, new result: RESULT: -17063.171889   
2025-12-29 10:45:12 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 15 = ∑15/20, new result: RESULT: -205480.249830  
2025-12-29 10:45:19 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 11 = ∑11/20, waiting for 15 jobs, finished 4 jobs
2025-12-29 10:45:19 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 11 = ∑11/20, waiting for 11 jobs                 
2025-12-29 10:45:19 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 11 = ∑11/20, new result: RESULT: -176915.262043  
2025-12-29 10:45:22 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 10 = ∑10/20, waiting for 11 jobs, finished 1 job 
2025-12-29 10:45:22 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 10 = ∑10/20, waiting for 10 jobs                 
2025-12-29 10:45:22 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, running/pending 2/8 = ∑10/20, new result: RESULT: -7449.116934
2025-12-29 10:45:22 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, running/pending 2/8 = ∑10/20, new result: RESULT: -96733.568862
2025-12-29 10:45:26 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 8 = ∑8/20, waiting for 10 jobs, finished 2 jobs        
2025-12-29 10:45:26 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 8 = ∑8/20, waiting for 8 jobs                          
2025-12-29 10:45:38 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 8 = ∑8/20, new result: RESULT: -41367.365402           
2025-12-29 10:45:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 7 = ∑7/20, waiting for 8 jobs, finished 1 job          
2025-12-29 10:45:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 7 = ∑7/20, waiting for 7 jobs                          
2025-12-29 10:45:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 7 = ∑7/20, new result: RESULT: -175778.616098          
2025-12-29 10:45:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 7 = ∑7/20, new result: RESULT: -33581.278901           
2025-12-29 10:45:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 7 = ∑7/20, new result: RESULT: -140876.617090          
2025-12-29 10:45:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 7 = ∑7/20, new result: RESULT: -83749.349141           
2025-12-29 10:45:41 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 7 = ∑7/20, new result: RESULT: -96022.871797           
2025-12-29 10:45:50 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 2 = ∑2/20, waiting for 7 jobs, finished 5 jobs         
2025-12-29 10:45:50 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 2 = ∑2/20, waiting for 2 jobs                          
2025-12-29 10:45:51 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 2 = ∑2/20, new result: RESULT: -105780.077222          
2025-12-29 10:45:53 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 1 = ∑1/20, waiting for 2 jobs, finished 1 job          
2025-12-29 10:45:53 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 1 = ∑1/20, waiting for 1 job                           
2025-12-29 10:45:54 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 1 = ∑1/20, new result: RESULT: -110081.952998          
2025-12-29 10:45:56 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, waiting for 1 job, finished 1 job                              
2025-12-29 10:46:11 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, getting new HP set #1/10                                       
2025-12-29 10:46:12 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, getting new HP set #2/10                                       
2025-12-29 10:46:12 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, getting new HP set #3/10                                       
2025-12-29 10:46:12 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, getting new HP set #4/10                                       
2025-12-29 10:46:13 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, getting new HP set #5/10                                       
2025-12-29 10:46:13 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, getting new HP set #6/10                                       
2025-12-29 10:46:13 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, getting new HP set #7/10                                       
2025-12-29 10:46:13 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, getting new HP set #8/10                                       
2025-12-29 10:46:13 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, getting new HP set #9/10                                       
2025-12-29 10:46:13 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, getting new HP set #10/10                                      
2025-12-29 10:46:15 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, requested 10 jobs, got 10, 1.71 s/job                          
2025-12-29 10:46:15 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, eval #1/10 start                                               
2025-12-29 10:46:15 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, eval #2/10 start                                               
2025-12-29 10:46:16 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, eval #3/10 start                                               
2025-12-29 10:46:16 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, eval #4/10 start                                               
2025-12-29 10:46:16 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, eval #5/10 start                                               
2025-12-29 10:46:16 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, eval #6/10 start                                               
2025-12-29 10:46:17 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, eval #7/10 start                                               
2025-12-29 10:46:17 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, eval #8/10 start                                               
2025-12-29 10:46:17 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, eval #9/10 start                                               
2025-12-29 10:46:18 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, eval #10/10 start                                              
2025-12-29 10:46:18 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, starting new job                                               
2025-12-29 10:46:18 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 1 = ∑1/20, started new job                             
2025-12-29 10:46:19 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 2 = ∑2/20, started new job                             
2025-12-29 10:46:19 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 3 = ∑3/20, started new job                             
2025-12-29 10:46:19 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 4 = ∑4/20, starting new job                            
2025-12-29 10:46:19 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 4 = ∑4/20, started new job                             
2025-12-29 10:46:19 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 4 = ∑4/20, starting new job                            
2025-12-29 10:46:19 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 3 = ∑3/20, starting new job                            
2025-12-29 10:46:19 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 4 = ∑4/20, starting new job                            
2025-12-29 10:46:19 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 3 = ∑3/20, starting new job                            
2025-12-29 10:46:19 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 5 = ∑5/20, started new job                             
2025-12-29 10:46:19 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 6 = ∑6/20, started new job                             
2025-12-29 10:46:20 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 7 = ∑7/20, started new job                             
2025-12-29 10:46:20 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 8 = ∑8/20, started new job                             
2025-12-29 10:46:20 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 9 = ∑9/20, started new job                             
2025-12-29 10:46:20 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 10 = ∑10/20, started new job                           
2025-12-29 10:46:21 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, unknown 10 = ∑10/20, waiting for 10 jobs                       
2025-12-29 10:46:23 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 10 = ∑10/20, waiting for 10 jobs                       
2025-12-29 10:46:33 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, running/pending 6/4 = ∑10/20, waiting for 10 jobs              
2025-12-29 10:46:39 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, running/pending 6/4 = ∑10/20, new result: RESULT: -138526.636208
2025-12-29 10:46:39 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, running/pending 6/4 = ∑10/20, new result: RESULT: -207766.226754
2025-12-29 10:46:39 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, running/pending 6/4 = ∑10/20, new result: RESULT: -50919.952693 
2025-12-29 10:46:45 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, running/pending 3/4 = ∑7/20, waiting for 10 jobs, finished 3 jobs
2025-12-29 10:46:45 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, running/pending 3/4 = ∑7/20, waiting for 7 jobs                  
2025-12-29 10:46:46 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, running/completed/pending 2/1/4 = ∑7/20, new result: RESULT: -157941.666204
2025-12-29 10:46:48 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, running/pending 2/4 = ∑6/20, waiting for 7 jobs, finished 1 job            
2025-12-29 10:46:48 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, running/pending 2/4 = ∑6/20, waiting for 6 jobs                            
2025-12-29 10:46:52 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, running/pending 2/4 = ∑6/20, new result: RESULT: -142539.057920            
2025-12-29 10:46:52 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, running/pending 2/4 = ∑6/20, new result: RESULT: -136072.794038            
2025-12-29 10:46:56 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 4 = ∑4/20, waiting for 6 jobs, finished 2 jobs                     
2025-12-29 10:46:56 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 4 = ∑4/20, waiting for 4 jobs                                      
2025-12-29 10:47:09 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, pending 4 = ∑4/20, new result: RESULT: -50188.670469                       
2025-12-29 10:47:11 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, completed 3 = ∑3/20, waiting for 4 jobs, finished 1 job                    
2025-12-29 10:47:11 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, completed 3 = ∑3/20, waiting for 3 jobs                                    
2025-12-29 10:47:12 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, completed 3 = ∑3/20, new result: RESULT: -41913.832815                     
2025-12-29 10:47:12 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, completed 3 = ∑3/20, new result: RESULT: -110933.626688                    
2025-12-29 10:47:12 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, completed 3 = ∑3/20, new result: RESULT: -21343.087308                     
2025-12-29 10:47:18 (17939c43-994a-4e5b-8cbf-5321ec4771e2): BOTORCH_MODULAR, best RESULT: -331437.32, waiting for 3 jobs, finished 3 jobs

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   5.387 │   20 │        0.269 │
│       2 │   2.737 │   10 │        0.274 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   4.062 │      │              │
│  Median │   4.062 │      │              │
│   Total │   8.124 │      │              │
│     Max │   5.387 │      │              │
│     Min │   2.737 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │  30.220 │   20 │        1.511 │
│         2 │  17.051 │   10 │        1.705 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │  23.635 │      │              │
│    Median │  23.635 │      │              │
│     Total │  47.271 │      │              │
│       Max │  30.220 │      │              │
│       Min │  17.051 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	20
max_eval	30
run_program	None
experiment_name	None
mem_gb	4
parameter	None
continue_previous_job	runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0
experiment_constraints	None
run_dir	runs
seed	None
verbose_tqdm	False
model	None
gridsearch	False
occ	False
show_sixel_scatter	False
show_sixel_general	False
show_sixel_trial_index_result	False
follow	True
send_anonymized_usage_stats	True
ui_url	None
root_venv_dir	/home/s3811141
exclude	None
main_process_gb	8
max_nr_of_zero_results	10
abbreviate_job_names	False
orchestrator_file	None
checkout_to_latest_tested_version	False
live_share	True
disable_tqdm	False
disable_previous_job_constraint	False
workdir
occ_type	euclid
result_names	['RESULT=min']
minkowski_p	2
signed_weighted_euclidean_weights
generation_strategy	None
generate_all_jobs_at_once	True
revert_to_random_when_seemingly_exhausted	True
load_data_from_existing_jobs	[]
n_estimators_randomforest	100
max_attempts_for_generation	20
external_generator	None
username	None
max_failed_jobs	None
num_cpus_main_job	None
calculate_pareto_front_of_job	[]
show_generate_time_table	False
force_choice_for_ranges	False
max_abandoned_retrial	20
share_password	None
dryrun	False
db_url	None
run_program_once	None
worker_generator_path	None
save_to_database	False
range_max_difference	1000000
skip_search	False
dont_warm_start_refitting	False
refit_on_cv	False
fit_out_of_design	False
fit_abandoned	False
dont_jit_compile	False
num_restarts	20
raw_samples	1024
max_num_of_parallel_sruns	16
no_transform_inputs	False
no_normalize_y	False
transforms	[]
number_of_generators	1
num_parallel_jobs	20
worker_timeout	10
slurm_use_srun	False
time
partition
reservation	None
force_local_execution	False
slurm_signal_delay_s	0
nodes_per_job	1
cpus_per_task	1
account	None
gpus	1
dependency	None
run_mode	local
verbose	False
verbose_break_run_search_table	False
debug	False
flame_graph	False
memray	False
no_sleep	False
tests	False
show_worker_percentage_table_at_end	False
auto_exclude_defective_hosts	False
run_tests_that_fail_on_taurus	False
raise_in_eval	False
show_ram_every_n_seconds	0
show_generation_and_submission_sixel	False
just_return_defaults	False
prettyprint	False
runtime_debug	False
debug_stack_regex
debug_stack_trace_regex	None
show_func_name	False
beartype	False

1767001385.9316,20,0,0
1767001433.9466,20,0,0
1767001434.2301,20,1,5
1767001434.5215,20,1,5
1767001434.6257,20,2,10
1767001435.1347,20,2,10
1767001435.232,20,6,30
1767001438.199,20,6,30
1767001439.2639,20,20,100
1767001458.9398,20,20,100
1767001459.5063,20,19,95
1767001483.9365,20,19,95
1767001484.5041,20,17,85
1767001513.2185,20,17,85
1767001519.1762,20,10,50
1767001529.8309,20,10,50
1767001530.3971,20,8,40
1767001542.4528,20,8,40
1767001550.7374,20,2,10
1767001556.845,20,2,10
1767001571.8315,20,0,0
1767001578.5463,20,0,0
1767001578.8158,20,1,5
1767001579.3836,20,1,5
1767001579.4348,20,4,20
1767001579.4996,20,4,20
1767001579.5254,20,0,0
1767001579.6264,20,4,20
1767001583.5928,20,4,20
1767001584.1596,20,10,50
1767001600.1081,20,10,50
1767001605.3957,20,6,30
1767001620.7236,20,6,30
1767001622.3136,20,4,20
1767001632.9451,20,4,20
1767001638.4214,20,0,0
1767001641.0601,20,0,0

`RESULT` (goal: minimize)

Best value: -331437.32
Achieved at:
- int_param = -100
- float_param = -100
- int_param_two = -100
- choice_param = 16

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	7	6.1	0.3	30
OO_Info_int_param	-99	8	-45.5667	32.7421	30
OO_Info_int_param_two	-100	10	-44.7667	33.2813	30
OO_Info_float_param	-99.5085	7.4465	-43.5734	31.7146	30
OO_Info_choice_param	No numerical statistics available
RESULT	-331437.32	-7449.1169	-131052.4435	83962.8452	60
int_param	-100	10	-64.7561	37.18	82
float_param	-100	7.4465	-64.4846	37.0495	82
int_param_two	-100	10	-60.9634	38.9541	82
choice_param	No numerical statistics available

submitit INFO (2025-12-29 10:44:05,873) - Starting with JobEnvironment(job_id=2115467, hostname=c143, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-12-29 10:44:05,874) - Loading pickle: /home/h8/s3811141/test/randomtest_93382/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1/single_runs/2115467/2115467_submitted.pkl
Trial-Index: 62

Parameters: {"int_param": 8, "float_param": -99.50848931446671, "int_param_two": -42, "choice_param": 2}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example  --int_param='8' --float_param='-99.50848931446671485901' --choice_param='2' --int_param_two='-42' --nr_results=1
pwd: /home/h8/s3811141/test/randomtest_93382/OmniOpt
File: ./.tests/optimization_example
UID: 2105408
GID: 200270
SLURM_JOB_ID: 2115467
Status-Change-Time: 1751868744.0086284
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: s3811141
Last access: 1767001276.231109
Last modification: 1751868744.0086284
Hostname: c143
========
DEBUG INFOS END

./.tests/optimization_example  --int_param='8' --float_param='-99.50848931446671485901' --choice_param='2' --int_param_two='-42' --nr_results=1
stdout:
 OO-Info: int_param: 8
OO-Info: int_param_two: -42
OO-Info: float_param: -99.50848931446671485901
OO-Info: choice_param: 2
RESULT: -131226.76338792

stderr was empty
Result: {'RESULT': -131226.76338792}
Final-results: {'RESULT': -131226.76338792}
EXIT_CODE: 0
submitit INFO (2025-12-29 10:44:15,026) - Job completed successfully
submitit INFO (2025-12-29 10:44:15,028) - Exiting after successful completion