OmniOpt2

Experiment overview

Setting	Value
Max. nr. evaluations	90
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	60

Best RESULT, min (total: 30 + inserted jobs: 60)

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
-100.0	-100.0	-556.3036127652064	16.0	2116274.0	-100	-556.3036127652063	-100	16	-3371804.77703273

Job Summary per Generation Node

Generation Node	Total	ABANDONED	COMPLETED
SOBOL	20	0	20
BOTORCH_MODULAR	109	39	70

Experiment parameters

Name	Type	Lower bound	Upper bound	Values	Type	Log Scale?
int_param	rangeparameter	-100	10		int	No
float_param	rangeparameter	-1000	1000		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	90	0	129

Result names and types

name	min/max
RESULT	min

Last progressbar status

2025-12-29 11:16:04 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -3371804.77703273, waiting for 5 jobs, finished 5 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,-30787.111460837400954915210604667664,-43,2.42722988128662109375,-22,hallo
1,,,,,,,,,,,,,,,,1_0,COMPLETED,SOBOL,-149193.944115115999011322855949401855,-57,-66.1057129316031932830810546875,-72,16
2,,,,,,,,,,,,,,,,2_0,COMPLETED,SOBOL,-155866.425228795007569715380668640137,-85,-28.56889219023287296295166015625,-75,4
3,,,,,,,,,,,,,,,,3_0,COMPLETED,SOBOL,-111680.952328743995167315006256103516,-16,-97.10545153357088565826416015625,-11,hallo
4,,,,,,,,,,,,,,,,4_0,COMPLETED,SOBOL,-111117.88502494999556802213191986084,4,-32.18193785287439823150634765625,-94,2
5,,,,,,,,,,,,,,,,5_0,COMPLETED,SOBOL,-154731.595652691001305356621742248535,-91,-73.64621774293482303619384765625,8,8
6,,,,,,,,,,,,,,,,6_0,COMPLETED,SOBOL,-74774.469059197901515290141105651855,-65,-8.2451842539012432098388671875,-44,1
7,,,,,,,,,,,,,,,,7_0,COMPLETED,SOBOL,-66935.334883501098374836146831512451,-21,-49.7130833379924297332763671875,-49,16
8,,,,,,,,,,,,,,,,8_0,COMPLETED,SOBOL,-100111.744766435993369668722152709961,-25,-21.4688964001834392547607421875,-87,1
9,,,,,,,,,,,,,,,,9_0,COMPLETED,SOBOL,-146443.085082554986001923680305480957,-69,-90.4348809830844402313232421875,1,2
10,,,,,,,,,,,,,,,,10_0,COMPLETED,SOBOL,-115993.503349014004925265908241271973,-94,9.40662398003041744232177734375,-37,8
11,,,,,,,,,,,,,,,,11_0,COMPLETED,SOBOL,-78676.034707879298366606235504150391,1,-59.55626592971384525299072265625,-56,4
12,,,,,,,,,,,,,,,,12_0,COMPLETED,SOBOL,-16554.876820662000682204961776733398,-5,-15.15032709576189517974853515625,-29,4
13,,,,,,,,,,,,,,,,13_0,COMPLETED,SOBOL,-149863.371711788990069180727005004883,-74,-56.18827641941606998443603515625,-65,16
14,,,,,,,,,,,,,,,,14_0,COMPLETED,SOBOL,-121961.390850212002987973392009735107,-47,-39.3419337086379528045654296875,-82,8
15,,,,,,,,,,,,,,,,15_0,COMPLETED,SOBOL,-88707.279905205898103304207324981689,-33,-80.3767883591353893280029296875,-4,hallo
16,,,,,,,,,,,,,,,,16_0,COMPLETED,SOBOL,-42891.323812807699141558259725570679,-36,-44.18536755256354808807373046875,0,16
17,,,,,,,,,,,,,,,,17_0,COMPLETED,SOBOL,-208912.376828531996579840779304504395,-51,-85.65156194381415843963623046875,-93,4
18,,,,,,,,,,,,,,,,18_0,COMPLETED,SOBOL,-105274.420996122003998607397079467773,-77,-13.323484919965267181396484375,-54,2
19,,,,,,,,,,,,,,,,19_0,COMPLETED,SOBOL,-51427.175279612798476591706275939941,-9,-54.786165021359920501708984375,-32,8
20,,,,,,,,,,,,,,,,20_0,COMPLETED,BOTORCH_MODULAR,-330107.719999999972060322761535644531,-100,-100,-100,4
21,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,4
22,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,4
23,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,4
24,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,4
25,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,4
26,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,4
27,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,4
28,,,,,,,,,,,,,,,,20_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,4
29,,,,,,,,,,,,,,,,29_0,COMPLETED,BOTORCH_MODULAR,-330225.320000000006984919309616088867,-100,-100,-100,1
30,,,,,,,,,,,,,,,,30_0,COMPLETED,BOTORCH_MODULAR,-330412.520000000018626451492309570312,-100,-100,-100,hallo
31,,,,,,,,,,,,,,,,29_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,1
32,,,,,,,,,,,,,,,,29_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,1
33,,,,,,,,,,,,,,,,29_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,1
34,,,,,,,,,,,,,,,,29_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,1
35,,,,,,,,,,,,,,,,29_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,1
36,,,,,,,,,,,,,,,,29_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,1
37,,,,,,,,,,,,,,,,37_0,COMPLETED,BOTORCH_MODULAR,-330230.919999999983701854944229125977,-100,-100,-100,8
38,,,,,,,,,,,,,,,,37_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,8
39,,,,,,,,,,,,,,,,37_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,8
40,,,,,,,,,,,,,,,,37_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,8
41,,,,,,,,,,,,,,,,37_0,COMPLETED,BOTORCH_MODULAR,-330166.119999999995343387126922607422,-100,-100,-100,8
42,,,,,,,,,,,,,,,,42_0,COMPLETED,BOTORCH_MODULAR,-330166.119999999995343387126922607422,-100,-100,-100,2
43,,,,,,,,,,,,,,,,42_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,2
44,,,,,,,,,,,,,,,,42_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,2
45,,,,,,,,,,,,,,,,42_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,2
46,,,,,,,,,,,,,,,,46_0,COMPLETED,BOTORCH_MODULAR,-5189.138800220500343129970133304596,-16,0.358676910400390625,1,8
47,,,,,,,,,,,,,,,,47_0,COMPLETED,BOTORCH_MODULAR,-198119.74872136098565533757209777832,-48,-92.61210412718355655670166015625,-81,16
48,,,,,,,,,,,,,,,,48_0,COMPLETED,BOTORCH_MODULAR,-135156.237697030010167509317398071289,-80,-20.9031227789819240570068359375,-70,hallo
49,,,,,,,,,,,,,,,,49_0,COMPLETED,BOTORCH_MODULAR,-103841.057565613999031484127044677734,-40,-72.214595489203929901123046875,-44,1
50,,,,,,,,,,,,,,,,50_0,COMPLETED,BOTORCH_MODULAR,-331437.320000000006984919309616088867,-100,-100,-100,16
51,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
52,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
53,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
54,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
55,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
56,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
57,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
58,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
59,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
60,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
61,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
62,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
63,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
64,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
65,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
66,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
67,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
68,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
69,,,,,,,,,,,,,,,,50_0,ABANDONED,BOTORCH_MODULAR,,-100,-100,-100,16
70,,,,,,,,,,,,,,,,70_0,COMPLETED,BOTORCH_MODULAR,-114216.122293120002723298966884613037,-48,-22.15143144130706787109375,-84,1
71,,,,,,,,,,,,,,,,71_0,COMPLETED,BOTORCH_MODULAR,-91084.821652061204076744616031646729,6,-90.2864637039601802825927734375,5,4
72,,,,,,,,,,,,,,,,72_0,COMPLETED,BOTORCH_MODULAR,-16780.506913096098287496715784072876,-20,-10.459582507610321044921875,-21,16
73,,,,,,,,,,,,,,,,73_0,COMPLETED,BOTORCH_MODULAR,-135957.132561547012301161885261535645,-77,-50.22772180847823619842529296875,-57,4
74,,,,,,,,,,,,,,,,74_0,COMPLETED,BOTORCH_MODULAR,-134597.133932619006372988224029541016,-100,4.35085189528763294219970703125,-43,16
75,,,,,,,,,,,,,,,,75_0,COMPLETED,BOTORCH_MODULAR,-118506.195427300001028925180435180664,-39,-65.011195838451385498046875,-66,1
76,,,,,,,,,,,,,,,,76_0,COMPLETED,BOTORCH_MODULAR,-112183.97596842999337241053581237793,-17,-34.8686041496694087982177734375,-91,4
77,,,,,,,,,,,,,,,,77_0,COMPLETED,BOTORCH_MODULAR,-125147.229996969996136613190174102783,-67,-77.59582919068634510040283203125,-17,2
78,,,,,,,,,,,,,,,,78_0,COMPLETED,BOTORCH_MODULAR,-65047.569145163099165074527263641357,-64,-12.11680211126804351806640625,-33,2
79,,,,,,,,,,,,,,,,79_0,COMPLETED,BOTORCH_MODULAR,-84256.554064847296103835105895996094,-7,-52.22275252453982830047607421875,-66,8
80,,,,,,,,,,,,,,,,80_0,COMPLETED,BOTORCH_MODULAR,-128484.715213738993043079972267150879,-36,-27.04464887268841266632080078125,-96,8
81,,,,,,,,,,,,,,,,81_0,COMPLETED,BOTORCH_MODULAR,-192535.726885743992170318961143493652,-90,-95.4906000010669231414794921875,-4,1
82,,,,,,,,,,,,,,,,82_0,COMPLETED,BOTORCH_MODULAR,-159203.824112436996074393391609191895,-81,-40.0827063433825969696044921875,-75,16
83,,,,,,,,,,,,,,,,83_0,COMPLETED,BOTORCH_MODULAR,-89491.121361123194219544529914855957,-30,-82.47971271164715290069580078125,2,hallo
84,,,,,,,,,,,,,,,,84_0,COMPLETED,BOTORCH_MODULAR,-10645.935463855499619967304170131683,2,2.37292055971920490264892578125,-27,hallo
85,,,,,,,,,,,,,,,,85_0,COMPLETED,BOTORCH_MODULAR,-117964.551158646994736045598983764648,-58,-66.68572463095188140869140625,-47,4
86,,,,,,,,,,,,,,,,86_0,COMPLETED,BOTORCH_MODULAR,-95634.7528109213017160072922706604,-55,-1.85443514026701450347900390625,-72,hallo
87,,,,,,,,,,,,,,,,87_0,COMPLETED,BOTORCH_MODULAR,-71215.500375151794287376105785369873,-1,-69.1184055246412754058837890625,-35,2
88,,,,,,,,,,,,,,,,88_0,COMPLETED,BOTORCH_MODULAR,-37019.260500968899577856063842773438,-27,-44.504687152802944183349609375,-9,1
89,,,,,,,,,,,,,,,,89_0,COMPLETED,BOTORCH_MODULAR,-263996.585862506995908915996551513672,-84,-85.14724946580827236175537109375,-97,8
90,,,,,,,,,,,,,,,,90_0,COMPLETED,BOTORCH_MODULAR,-109165.608699552001780830323696136475,-93,-29.69277835451066493988037109375,-3,2
91,,,,,,,,,,,,,,,,91_0,COMPLETED,BOTORCH_MODULAR,-192899.862170540000079199671745300293,-33,-99.932617507874965667724609375,-78,4
92,,,,,,,,,,,,,,,,92_0,COMPLETED,BOTORCH_MODULAR,-37451.627368684399698395282030105591,-10,-14.5701491273939609527587890625,-51,hallo
93,,,,,,,,,,,,,,,,93_0,COMPLETED,BOTORCH_MODULAR,-91708.141338377201464027166366577148,-60,-56.42965191043913364410400390625,-29,1
94,,,,,,,,,,,,,,,,94_0,COMPLETED,BOTORCH_MODULAR,-70956.527860540794790722429752349854,-70,-32.212374098598957061767578125,10,8
95,,,,,,,,,,,,,,,,95_0,COMPLETED,BOTORCH_MODULAR,-140731.559465397003805264830589294434,-13,-73.16254823468625545501708984375,-82,16
96,,,,,,,,,,,,,,,,96_0,COMPLETED,BOTORCH_MODULAR,-56768.485293025696591939777135848999,-43,6.79903565905988216400146484375,-53,hallo
97,,,,,,,,,,,,,,,,97_0,COMPLETED,BOTORCH_MODULAR,-153322.046775283990427851676940917969,-97,-60.7993364520370960235595703125,-19,4
98,,,,,,,,,,,,,,,,98_0,COMPLETED,BOTORCH_MODULAR,-105661.204970357997808605432510375977,-74,-6.2404847331345081329345703125,-60,4
99,1767003229,47,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003276,1767003282,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.70512032124531742738' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c154,-100,-100,-279.705120321245260583964409306645,16,2116037,99_0,COMPLETED,BOTORCH_MODULAR,-1031757.37537134997546672821044921875,-100,-279.70512032124531742738327011466,-100,16
100,1767003229,18,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003247,1767003253,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.70176175605382695721' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c136,-100,-100,-279.701761756053826957213459536433,16,2116030,100_0,COMPLETED,BOTORCH_MODULAR,-1031738.251470010029152035713195800781,-100,-279.701761756053826957213459536433,-100,16
101,1767003229,47,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003276,1767003282,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.62277631088619500588' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c151,-100,-100,-279.622776310886138162459246814251,16,2116039,101_0,COMPLETED,BOTORCH_MODULAR,-1031288.567949170013889670372009277344,-100,-279.622776310886195005878107622266,-100,16
102,1767003229,48,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003277,1767003283,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.69475514141845451377' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c154,-100,-100,-279.694755141418454513768665492535,16,2116038,102_0,COMPLETED,BOTORCH_MODULAR,-1031698.356050319969654083251953125,-100,-279.694755141418454513768665492535,-100,16
103,1767003229,17,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003246,1767003252,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.69355598754901848224' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c118,-100,-100,-279.69355598754901848224108107388,16,2116031,103_0,COMPLETED,BOTORCH_MODULAR,-1031691.528208359959535300731658935547,-100,-279.69355598754901848224108107388,-100,16
104,1767003229,17,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003246,1767003252,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.69776879561783289319' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c139,-100,-100,-279.697768795617832893185550346971,16,2116029,104_0,COMPLETED,BOTORCH_MODULAR,-1031715.515572029980830848217010498047,-100,-279.697768795617832893185550346971,-100,16
105,1767003229,21,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003250,1767003256,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.71908549272706068223' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c112,-100,-100,-279.719085492727060682227602228522,16,2116033,105_0,COMPLETED,BOTORCH_MODULAR,-1031836.896438149968162178993225097656,-100,-279.719085492727060682227602228522,-100,16
106,1767003229,17,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003246,1767003252,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.69197785491542163072' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c111,-100,-100,-279.691977854915421630721539258957,16,2116034,106_0,COMPLETED,BOTORCH_MODULAR,-1031682.542549440055154263973236083984,-100,-279.691977854915421630721539258957,-100,16
107,1767003229,18,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003247,1767003253,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.69459897087426725193' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c93,-100,-100,-279.694598970874267251929268240929,16,2116036,107_0,COMPLETED,BOTORCH_MODULAR,-1031697.466831870027817785739898681641,-100,-279.694598970874267251929268240929,-100,16
108,1767003229,47,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003276,1767003282,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.71496223446115436673' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c155,-100,-100,-279.714962234461154366726987063885,16,2116028,108_0,COMPLETED,BOTORCH_MODULAR,-1031813.417201710049994289875030517578,-100,-279.714962234461154366726987063885,-100,16
109,1767003229,17,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003246,1767003252,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.67702161034702612596' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c155,-100,-100,-279.677021610347026125964475795627,16,2116027,109_0,COMPLETED,BOTORCH_MODULAR,-1031597.386329379980452358722686767578,-100,-279.677021610347026125964475795627,-100,16
110,1767003229,17,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003246,1767003252,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.69797452449097363569' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c112,-100,-100,-279.697974524490973635693080723286,16,2116032,110_0,COMPLETED,BOTORCH_MODULAR,-1031716.686983480001799762248992919922,-100,-279.697974524490973635693080723286,-100,16
111,1767003229,47,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003276,1767003282,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.68507672332532365544' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c137,-100,-100,-279.685076723325266812025802209973,16,2116042,111_0,COMPLETED,BOTORCH_MODULAR,-1031643.249089660006575286388397216797,-100,-279.685076723325323655444663017988,-100,16
112,1767003229,21,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003250,1767003256,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.69033949250132309317' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c93,-100,-100,-279.690339492501266249746549874544,16,2116035,112_0,COMPLETED,BOTORCH_MODULAR,-1031673.214003560016863048076629638672,-100,-279.690339492501323093165410682559,-100,16
113,1767003230,46,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003276,1767003282,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.69925838562943454235' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c148,-100,-100,-279.69925838562943454235210083425,16,2116040,113_0,COMPLETED,BOTORCH_MODULAR,-1031723.997253270004875957965850830078,-100,-279.69925838562943454235210083425,-100,16
114,1767003229,46,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003275,1767003281,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.69464759211183491061' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c139,-100,-100,-279.694647592111834910610923543572,16,2116041,114_0,COMPLETED,BOTORCH_MODULAR,-1031697.743675970006734132766723632812,-100,-279.694647592111834910610923543572,-100,16
115,1767003230,48,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003278,1767003284,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.70616066833025570304' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c137,-100,-100,-279.706160668330255703040165826678,16,2116043,115_0,COMPLETED,BOTORCH_MODULAR,-1031763.299225009977817535400390625,-100,-279.706160668330255703040165826678,-100,16
116,1767003230,76,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003306,1767003312,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.69086205783980858541' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c155,-100,-100,-279.69086205783980858541326597333,16,2116046,116_0,COMPLETED,BOTORCH_MODULAR,-1031676.189392360043711960315704345703,-100,-279.69086205783980858541326597333,-100,16
117,1767003230,46,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003276,1767003282,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.69926031858733495028' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c136,-100,-100,-279.699260318587334950279910117388,16,2116044,117_0,COMPLETED,BOTORCH_MODULAR,-1031724.008259510039351880550384521484,-100,-279.699260318587334950279910117388,-100,16
118,1767003230,45,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003275,1767003281,6,./.tests/optimization_example  --int_param='-100' --float_param='-279.69703191962662458536' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c136,-100,-100,-279.697031919626624585362151265144,16,2116045,118_0,COMPLETED,BOTORCH_MODULAR,-1031711.319838450057432055473327636719,-100,-279.697031919626624585362151265144,-100,16
119,1767003326,14,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003340,1767003346,6,./.tests/optimization_example  --int_param='-100' --float_param='-556.01315264121274140052' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c140,-100,-100,-556.013152641212855087360367178917,16,2116267,119_0,COMPLETED,BOTORCH_MODULAR,-3368544.894364329986274242401123046875,-100,-556.013152641212741400522645562887,-100,16
120,1767003326,10,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003336,1767003342,6,./.tests/optimization_example  --int_param='-100' --float_param='-555.97551084080237160379' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c116,-100,-100,-555.975510840802371603786014020443,16,2116271,120_0,COMPLETED,BOTORCH_MODULAR,-3368122.557630990166217088699340820312,-100,-555.975510840802371603786014020443,-100,16
121,1767003326,10,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003336,1767003342,6,./.tests/optimization_example  --int_param='-100' --float_param='-555.9826810808608570369' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c122,-100,-100,-555.982681080860857036896049976349,16,2116270,121_0,COMPLETED,BOTORCH_MODULAR,-3368203.00472670979797840118408203125,-100,-555.982681080860857036896049976349,-100,16
122,1767003326,11,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003337,1767003343,6,./.tests/optimization_example  --int_param='-100' --float_param='-556.01706576448759733466' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c140,-100,-100,-556.017065764487597334664314985275,16,2116268,122_0,COMPLETED,BOTORCH_MODULAR,-3368588.800789960194379091262817382812,-100,-556.017065764487597334664314985275,-100,16
123,1767003326,10,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003336,1767003342,6,./.tests/optimization_example  --int_param='-100' --float_param='-556.005208124948353543' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c155,-100,-100,-556.005208124948353543004486709833,16,2116265,123_0,COMPLETED,BOTORCH_MODULAR,-3368455.75543317012488842010498046875,-100,-556.005208124948353543004486709833,-100,16
124,1767003326,10,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003336,1767003342,6,./.tests/optimization_example  --int_param='-100' --float_param='-555.99480026679020738811' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c110,-100,-100,-555.99480026679020738811232149601,16,2116272,124_0,COMPLETED,BOTORCH_MODULAR,-3368338.979263760149478912353515625,-100,-555.99480026679020738811232149601,-100,16
125,1767003326,10,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003336,1767003342,6,./.tests/optimization_example  --int_param='-100' --float_param='-556.06043761402781910874' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c141,-100,-100,-556.060437614027819108741823583841,16,2116266,125_0,COMPLETED,BOTORCH_MODULAR,-3369075.466556440107524394989013671875,-100,-556.060437614027819108741823583841,-100,16
126,1767003326,10,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003336,1767003342,6,./.tests/optimization_example  --int_param='-100' --float_param='-555.81118072072376889992' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c137,-100,-100,-555.811180720723768899915739893913,16,2116269,126_0,COMPLETED,BOTORCH_MODULAR,-3366279.124213720206171274185180664062,-100,-555.811180720723768899915739893913,-100,16
127,1767003326,10,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003336,1767003342,6,./.tests/optimization_example  --int_param='-100' --float_param='-555.99644658957481624384' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c108,-100,-100,-555.996446589574816243839450180531,16,2116273,127_0,COMPLETED,BOTORCH_MODULAR,-3368357.450861299876123666763305664062,-100,-555.996446589574816243839450180531,-100,16
128,1767003327,10,c560f863-c57e-4b74-8551-0ce97e1295e4,1767003337,1767003343,6,./.tests/optimization_example  --int_param='-100' --float_param='-556.30361276520625324338' --choice_param='16' --int_param_two='-100' --nr_results=1,0,,c108,-100,-100,-556.303612765206366930215153843164,16,2116274,128_0,COMPLETED,BOTORCH_MODULAR,-3371804.777032730169594287872314453125,-100,-556.303612765206253243377432227135,-100,16


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

To cancel, press CTRL c, then run 'scancel 2116009'
⠋ Importing logging...
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⠋ Importing beartype...
[WARNING 12-29 11:13:21] 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...
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Using old run's --time: 60
Run-UUID: af740698-0937-49f3-a3a3-f7a9d9df1fb3
                                                                             
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⠋ Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1 --num_parallel_jobs 20 --worker_timeout 10 --follow --gpus=1 --mem_gb=4 --num_random_steps=20 --max_eval=30 --parameter float_param range -1000 1000 float --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/2...
⠋ 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/2
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
⠋ Writing live_share file if it is present...
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⠼ Writing git information
⠋ Checking max_eval...
⠋ Calculating number of steps...
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⠋ Initializing ax_client...
Changed parameter 'float_param': lower from -100.0 to -1000.0, upper from 10.0 to 1000.0, digits from None to 32
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=s3811141&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=59 for live-results.

You have 1 CPUs available for the main process. Using CUDA device NVIDIA H100.
Generation strategy: BOTORCH_MODULAR for 130 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  │ -1000       │ 1000        │                       │ 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: -3371804.77703273, waiting for 5 jobs, finished 5 jobs                                           : 100%|██████████| 90/90 [02:34<00:00,  1.71s/it]
                                                                          Best RESULT, min (total: 30 + inserted jobs: 60)                                                                           
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃ 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            ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -100.0            │ -100.0                │ -556.3036127652064  │ 16.0                 │ 2116274.0            │ -100      │ -556.3036127652063 │ -100          │ 16           │ -3371804.77703273 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
                                Runtime Infos                                 
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time  ┃ Max time  ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│          30           │ 6.00 sec  │ 6.00 sec  │   6.00 sec   │  6.00 sec   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘

2025-12-29 11:13:30 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-12-29 11:13:36 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #1/20
2025-12-29 11:13:36 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #2/20
2025-12-29 11:13:36 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #3/20
2025-12-29 11:13:37 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #4/20
2025-12-29 11:13:37 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #5/20
2025-12-29 11:13:38 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #6/20
2025-12-29 11:13:38 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #7/20
2025-12-29 11:13:38 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #8/20
2025-12-29 11:13:38 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #9/20
2025-12-29 11:13:38 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #10/20
2025-12-29 11:13:38 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #11/20
2025-12-29 11:13:38 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #12/20
2025-12-29 11:13:38 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #13/20
2025-12-29 11:13:39 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #14/20
2025-12-29 11:13:40 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #15/20
2025-12-29 11:13:40 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #16/20
2025-12-29 11:13:40 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #17/20
2025-12-29 11:13:40 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #18/20
2025-12-29 11:13:40 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #19/20
2025-12-29 11:13:40 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, getting new HP set #20/20
2025-12-29 11:13:40 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, requested 20 jobs, got 20, 0.47 s/job
2025-12-29 11:13:41 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #1/20 start                     
2025-12-29 11:13:42 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #2/20 start                     
2025-12-29 11:13:42 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #3/20 start                     
2025-12-29 11:13:42 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #4/20 start                     
2025-12-29 11:13:42 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #5/20 start                     
2025-12-29 11:13:43 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #6/20 start                     
2025-12-29 11:13:43 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #7/20 start                     
2025-12-29 11:13:43 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #8/20 start                     
2025-12-29 11:13:43 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #9/20 start                     
2025-12-29 11:13:44 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #10/20 start                    
2025-12-29 11:13:45 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #11/20 start                    
2025-12-29 11:13:45 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #12/20 start                    
2025-12-29 11:13:45 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #13/20 start                    
2025-12-29 11:13:46 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #14/20 start                    
2025-12-29 11:13:46 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #15/20 start                    
2025-12-29 11:13:46 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #16/20 start                    
2025-12-29 11:13:46 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #17/20 start                    
2025-12-29 11:13:47 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #18/20 start                    
2025-12-29 11:13:47 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #19/20 start                    
2025-12-29 11:13:48 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, eval #20/20 start                    
2025-12-29 11:13:49 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, starting new job                     
2025-12-29 11:13:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, unknown 1 = ∑1/20, started new job   
2025-12-29 11:13:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, unknown 1 = ∑1/20, starting new job  
2025-12-29 11:13:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, unknown 2 = ∑2/20, started new job   
2025-12-29 11:13:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, unknown 2 = ∑2/20, starting new job  
2025-12-29 11:13:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, unknown 3 = ∑3/20, started new job   
2025-12-29 11:13:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, unknown 3 = ∑3/20, starting new job  
2025-12-29 11:13:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, unknown 4 = ∑4/20, started new job   
2025-12-29 11:13:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, unknown 4 = ∑4/20, starting new job  
2025-12-29 11:13:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, unknown 3 = ∑3/20, starting new job  
2025-12-29 11:13:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/1 = ∑5/20, started new job
2025-12-29 11:13:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/2 = ∑6/20, started new job
2025-12-29 11:13:51 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/3 = ∑7/20, started new job
2025-12-29 11:13:51 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/4 = ∑8/20, started new job
2025-12-29 11:13:51 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/5 = ∑9/20, started new job
2025-12-29 11:13:51 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/6 = ∑10/20, started new job
2025-12-29 11:13:51 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/7 = ∑11/20, started new job
2025-12-29 11:13:52 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/8 = ∑12/20, started new job
2025-12-29 11:13:52 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/9 = ∑13/20, started new job
2025-12-29 11:13:52 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/10 = ∑14/20, started new job
2025-12-29 11:13:52 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/11 = ∑15/20, started new job
2025-12-29 11:13:52 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/12 = ∑16/20, started new job
2025-12-29 11:13:53 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/13 = ∑17/20, started new job
2025-12-29 11:13:53 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/14 = ∑18/20, started new job
2025-12-29 11:13:53 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/15 = ∑19/20, started new job
2025-12-29 11:13:53 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/16 = ∑20/20, started new job
2025-12-29 11:13:55 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending/unknown 4/16 = ∑20/20, waiting for 20 jobs
2025-12-29 11:13:56 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, pending 20 = ∑20/20, waiting for 20 jobs          
2025-12-29 11:14:05 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, running/pending 9/11 = ∑20/20, waiting for 20 jobs
2025-12-29 11:14:12 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, running/pending 9/11 = ∑20/20, new result: RESULT: -1031691.528208
2025-12-29 11:14:12 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, running/pending 9/11 = ∑20/20, new result: RESULT: -1031716.686983
2025-12-29 11:14:16 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031716.68698348, running/pending 7/11 = ∑18/20, waiting for 20 jobs, finished 2 jobs
2025-12-29 11:14:16 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031716.68698348, running/pending 7/11 = ∑18/20, waiting for 18 jobs                 
2025-12-29 11:14:16 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031716.68698348, completed/pending/running 5/11/2 = ∑18/20, new result: RESULT: -1031682.542549
2025-12-29 11:14:16 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031716.68698348, completed/pending/running 5/11/2 = ∑18/20, new result: RESULT: -1031738.251470
2025-12-29 11:14:16 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031716.68698348, completed/pending/running 5/11/2 = ∑18/20, new result: RESULT: -1031697.466832
2025-12-29 11:14:16 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031716.68698348, completed/pending/running 5/11/2 = ∑18/20, new result: RESULT: -1031836.896438
2025-12-29 11:14:16 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031716.68698348, completed/pending/running 5/11/2 = ∑18/20, new result: RESULT: -1031715.515572
2025-12-29 11:14:16 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031716.68698348, completed/pending/running 5/11/2 = ∑18/20, new result: RESULT: -1031597.386329
2025-12-29 11:14:26 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, pending/running 11/1 = ∑12/20, waiting for 18 jobs, finished 6 jobs           
2025-12-29 11:14:26 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, pending/running 11/1 = ∑12/20, waiting for 12 jobs                            
2025-12-29 11:14:27 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, pending/running 11/1 = ∑12/20, new result: RESULT: -1031673.214004            
2025-12-29 11:14:29 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, pending 11 = ∑11/20, waiting for 12 jobs, finished 1 job                      
2025-12-29 11:14:29 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, pending 11 = ∑11/20, waiting for 11 jobs                                      
2025-12-29 11:14:40 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running/pending 10/1 = ∑11/20, waiting for 11 jobs                            
2025-12-29 11:14:42 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running/pending 10/1 = ∑11/20, new result: RESULT: -1031697.743676            
2025-12-29 11:14:42 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running/pending 10/1 = ∑11/20, new result: RESULT: -1031813.417202            
2025-12-29 11:14:42 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running/pending 10/1 = ∑11/20, new result: RESULT: -1031724.008260            
2025-12-29 11:14:42 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running/pending 10/1 = ∑11/20, new result: RESULT: -1031711.319838            
2025-12-29 11:14:49 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running/pending 6/1 = ∑7/20, waiting for 11 jobs, finished 4 jobs             
2025-12-29 11:14:49 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running/pending 6/1 = ∑7/20, waiting for 7 jobs                               
2025-12-29 11:14:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running/pending 6/1 = ∑7/20, new result: RESULT: -1031698.356050              
2025-12-29 11:14:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running/pending 6/1 = ∑7/20, new result: RESULT: -1031757.375371              
2025-12-29 11:14:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running/pending 6/1 = ∑7/20, new result: RESULT: -1031723.997253              
2025-12-29 11:14:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running/pending 6/1 = ∑7/20, new result: RESULT: -1031288.567949              
2025-12-29 11:14:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running/pending 6/1 = ∑7/20, new result: RESULT: -1031643.249090              
2025-12-29 11:14:50 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running/pending 6/1 = ∑7/20, new result: RESULT: -1031763.299225              
2025-12-29 11:15:01 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, pending 1 = ∑1/20, waiting for 7 jobs, finished 6 jobs                        
2025-12-29 11:15:01 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, pending 1 = ∑1/20, waiting for 1 job                                          
2025-12-29 11:15:12 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, pending 1 = ∑1/20, new result: RESULT: -1031676.189392                        
2025-12-29 11:15:15 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, waiting for 1 job, finished 1 job                                             
2025-12-29 11:15:19 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, getting new HP set #1/10                                                      
2025-12-29 11:15:19 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, getting new HP set #2/10                                                      
2025-12-29 11:15:20 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, getting new HP set #3/10                                                      
2025-12-29 11:15:20 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, getting new HP set #4/10                                                      
2025-12-29 11:15:20 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, getting new HP set #5/10                                                      
2025-12-29 11:15:20 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, getting new HP set #6/10                                                      
2025-12-29 11:15:20 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, getting new HP set #7/10                                                      
2025-12-29 11:15:20 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, getting new HP set #8/10                                                      
2025-12-29 11:15:20 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, getting new HP set #9/10                                                      
2025-12-29 11:15:20 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, getting new HP set #10/10                                                     
2025-12-29 11:15:20 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, requested 10 jobs, got 10, 0.49 s/job                                         
2025-12-29 11:15:21 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, eval #1/10 start                                                              
2025-12-29 11:15:22 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, eval #2/10 start                                                              
2025-12-29 11:15:22 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, eval #3/10 start                                                              
2025-12-29 11:15:23 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, eval #4/10 start                                                              
2025-12-29 11:15:23 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, eval #5/10 start                                                              
2025-12-29 11:15:23 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, eval #6/10 start                                                              
2025-12-29 11:15:25 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, eval #7/10 start                                                              
2025-12-29 11:15:25 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, eval #8/10 start                                                              
2025-12-29 11:15:25 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, eval #9/10 start                                                              
2025-12-29 11:15:26 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, eval #10/10 start                                                             
2025-12-29 11:15:26 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, starting new job                                                              
2025-12-29 11:15:27 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, unknown 1 = ∑1/20, started new job                                            
2025-12-29 11:15:27 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, unknown 2 = ∑2/20, started new job                                            
2025-12-29 11:15:27 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, unknown 3 = ∑3/20, started new job                                            
2025-12-29 11:15:27 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, unknown 4 = ∑4/20, started new job                                            
2025-12-29 11:15:27 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, unknown 5 = ∑5/20, started new job                                            
2025-12-29 11:15:28 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, unknown 6 = ∑6/20, started new job                                            
2025-12-29 11:15:28 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, unknown 7 = ∑7/20, started new job                                            
2025-12-29 11:15:28 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, unknown 8 = ∑8/20, started new job                                            
2025-12-29 11:15:28 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, unknown 9 = ∑9/20, started new job                                            
2025-12-29 11:15:29 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, unknown 10 = ∑10/20, started new job                                          
2025-12-29 11:15:30 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, unknown 10 = ∑10/20, waiting for 10 jobs                                      
2025-12-29 11:15:31 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, pending 10 = ∑10/20, waiting for 10 jobs                                      
2025-12-29 11:15:33 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running 10 = ∑10/20, waiting for 10 jobs                                      
2025-12-29 11:15:42 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running 10 = ∑10/20, new result: RESULT: -3369075.466556                      
2025-12-29 11:15:42 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running 10 = ∑10/20, new result: RESULT: -3368122.557631                      
2025-12-29 11:15:42 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running 10 = ∑10/20, new result: RESULT: -3368455.755433                      
2025-12-29 11:15:42 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running 10 = ∑10/20, new result: RESULT: -3366279.124214                      
2025-12-29 11:15:42 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -1031836.89643815, running 10 = ∑10/20, new result: RESULT: -3368357.450861                      
2025-12-29 11:15:53 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -3369075.46655644, completed 5 = ∑5/20, waiting for 10 jobs, finished 5 jobs                     
2025-12-29 11:15:53 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -3369075.46655644, completed 5 = ∑5/20, waiting for 5 jobs                                       
2025-12-29 11:15:54 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -3369075.46655644, completed 5 = ∑5/20, new result: RESULT: -3368203.004727                      
2025-12-29 11:15:54 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -3369075.46655644, completed 5 = ∑5/20, new result: RESULT: -3368544.894364                      
2025-12-29 11:15:54 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -3369075.46655644, completed 5 = ∑5/20, new result: RESULT: -3368588.800790                      
2025-12-29 11:15:54 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -3369075.46655644, completed 5 = ∑5/20, new result: RESULT: -3371804.777033                      
2025-12-29 11:15:54 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -3369075.46655644, completed 5 = ∑5/20, new result: RESULT: -3368338.979264                      
2025-12-29 11:16:04 (c560f863-c57e-4b74-8551-0ce97e1295e4): BOTORCH_MODULAR, best RESULT: -3371804.77703273, waiting for 5 jobs, finished 5 jobs

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   5.261 │   20 │        0.263 │
│       2 │   2.872 │   10 │        0.287 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   4.067 │      │              │
│  Median │   4.067 │      │              │
│   Total │   8.133 │      │              │
│     Max │   5.261 │      │              │
│     Min │   2.872 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   9.354 │   20 │        0.468 │
│         2 │   4.867 │   10 │        0.487 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   7.111 │      │              │
│    Median │   7.111 │      │              │
│     Total │  14.221 │      │              │
│       Max │   9.354 │      │              │
│       Min │   4.867 │      │              │
└───────────┴─────────┴──────┴──────────────┘

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	[['float_param', 'range', '-1000', '1000', 'float']]
continue_previous_job	runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
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

1767003206.8559,20,0,0
1767003229.4442,20,0,0
1767003229.9697,20,1,5
1767003230.4647,20,1,5
1767003230.5684,20,4,20
1767003233.9299,20,4,20
1767003234.9998,20,20,100
1767003252.6741,20,20,100
1767003255.9079,20,16,80
1767003257.8995,20,16,80
1767003266.5648,20,11,55
1767003283.1243,20,11,55
1767003289.4155,20,1,5
1767003312.952,20,1,5
1767003315.0878,20,0,0
1767003326.6735,20,0,0
1767003327.2239,20,1,5
1767003327.2694,20,2,10
1767003331.7339,20,2,10
1767003332.3017,20,10,50
1767003343.7236,20,10,50
1767003352.5612,20,0,0
1767003367.1627,20,0,0

`RESULT` (goal: minimize)

Best value: -3371804.7770327
Achieved at:
- int_param = -100
- float_param = -556.30361276521
- int_param_two = -100

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	6	6	0	30
OO_Info_int_param	-100	-100	-100	0	30
OO_Info_int_param_two	-100	-100	-100	0	30
OO_Info_float_param	-556.3036	-279.6228	-371.8011	130.2596	30
OO_Info_choice_param	16	16	16	0	30
RESULT	-3371804.777	-5189.1388	-691991.207	1017505.6225	90
int_param	-100	6	-78.0078	32.8762	129
float_param	-556.3036	9.4066	-140.5463	145.4402	129
int_param_two	-100	10	-77.4341	33.9685	129
choice_param	No numerical statistics available

submitit INFO (2025-12-29 11:14:03,237) - Starting with JobEnvironment(job_id=2116027, hostname=c155, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-12-29 11:14:03,237) - Loading pickle: /home/h8/s3811141/test/randomtest_93382/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/single_runs/2116027/2116027_submitted.pkl
Trial-Index: 109

Parameters: {"int_param": -100, "float_param": -279.677021610347, "int_param_two": -100, "choice_param": 16}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example  --int_param='-100' --float_param='-279.67702161034702612596' --choice_param='16' --int_param_two='-100' --nr_results=1
pwd: /home/h8/s3811141/test/randomtest_93382/OmniOpt
File: ./.tests/optimization_example
UID: 2105408
GID: 200270
SLURM_JOB_ID: 2116027
Status-Change-Time: 1751868744.0086284
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: s3811141
Last access: 1767003035.7443225
Last modification: 1751868744.0086284
Hostname: c155
========
DEBUG INFOS END

./.tests/optimization_example  --int_param='-100' --float_param='-279.67702161034702612596' --choice_param='16' --int_param_two='-100' --nr_results=1
stdout:
 OO-Info: int_param: -100
OO-Info: int_param_two: -100
OO-Info: float_param: -279.67702161034702612596
OO-Info: choice_param: 16
RESULT: -1031597.38632938

stderr was empty
Result: {'RESULT': -1031597.38632938}
Final-results: {'RESULT': -1031597.38632938}
EXIT_CODE: 0
submitit INFO (2025-12-29 11:14:12,609) - Job completed successfully
submitit INFO (2025-12-29 11:14:12,611) - Exiting after successful completion