OmniOpt2

Experiment overview

Setting	Value
Model for non-random steps	BOTORCH_MODULAR
Max. nr. evaluations	2
Number random steps	1
Nr. of workers (parameter)	1

Best RESULT, min (total: 2)

OO_Info_int_param	OO_Info_int_param_two	OO_Info_float_param	OO_Info_choice_param	int_param	float_param	int_param_two	choice_param	RESULT
-95	-98	-80.34548452122283	2	-95	-80.34548452122283	-98	2	-278356.237281623

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	1	1
BOTORCH_MODULAR	1	1

Experiment parameters

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

Number of evaluations

Failed	Succeeded	Running	Total
0	2	0	2

Result names and types

name	min/max
RESULT	min

Last progressbar status

2026-05-30 11:40:46 (0df16fe1-672a-4902-8d03-a9ffeca528db): BOTORCH_MODULAR, best RESULT: -278356.237281623, ▁█, finishing jobs, finished 1 job

Git-Version

Commit: 2c09badf8ff71f8f9eee5a24e4a2328f476e658c (9342-2-g2c09badf8)

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,arm_name,trial_status,generation_node,RESULT,int_param,float_param,int_param_two,choice_param
0,1780141224,2,0df16fe1-672a-4902-8d03-a9ffeca528db,1780141226,1780141232,6,./.tests/optimization_example  --int_param='-48' --float_param='9.20473456382751464844' --choice_param='hallo' --int_param_two='-14' --nr_results=1,0,,9d566e897da6,-48,-14,9.20473456382751287208066059975,hallo,0_0,COMPLETED,SOBOL,-32364.117927522500394843518733978271,-48,9.2047345638275146484375,-14,hallo
1,1780141235,2,0df16fe1-672a-4902-8d03-a9ffeca528db,1780141237,1780141243,6,./.tests/optimization_example  --int_param='-95' --float_param='-80.34548452122282924392' --choice_param='2' --int_param_two='-98' --nr_results=1,0,,9d566e897da6,-95,-98,-80.345484521222829243924934417009,2,1_0,COMPLETED,BOTORCH_MODULAR,-278356.237281623005401343107223510742,-95,-80.345484521222829243924934417009,-98,2


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

Current git-hash: 2c09badf8ff71f8f9eee5a24e4a2328f476e658c (last fully tested stable version 2 commits ago [5c399eb6c53d4165f4e4c5d4191a2115cad88c0b, 9342])
Using coverage run -p because $RUN_WITH_COVERAGE is set
⠋ 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 05-30 11:40:20] ax.storage.sqa_store.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...
⠋ Importing notifier...
⠋ 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 load_experiment...
⠋ Importing save_experiment...
⠋ Importing save_experiment_to_db...
⠋ Importing TrialStatus...
⠋ Importing Data...
⠋ Importing Experiment...
⠋ Importing parameter types...
⠋ Importing TParameterization...
⠋ Importing pandas...
⠋ Importing AxClient and ObjectiveProperties...
⠋ Importing RandomForestRegressor...
⠋ Importing botorch...
⠋ Importing submitit...
⠋ Importing ax logger...
⠋ Importing SQL-Storage-Stuff...
Run-UUID: 31018ec9-1d91-4217-9f0f-59a676362774
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/site-packages/plyer/platforms/linux/notification.py:103: UserWarning: The Python dbus package is not installed.
Try installing it with your distribution's package manager, it is usually called python-dbus or python3-dbus, but you might have to try dbus-python instead, e.g. when using pip.
  warnings.warn(msg)
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
  warnings.warn("notify-send not found.")
  _______________________________________________
| OmniOpt2 - In pursuit of the ultimate accuracy! |
  ===============================================
                                                \
                                                 \
                                                  \
                                                   |\_/|,,_____,~~`
                                                   (.".)~~     )`~}}
                                                    \o/\ /---~\\ ~}}
                                                      _//    _// ~}
⠋ Writing worker creation log...
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --parameter int_param range -100 10 int --parameter float_param range -100 10 float --parameter choice_param choice 1,2,4,8,16,hallo --parameter int_param_two range -100 10 int --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --generate_all_jobs_at_once --follow --show_generate_time_table --disable_notifications
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0...
⠋ 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: /var/opt/omniopt/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=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=108 for live-results.

You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: SOBOL for 1 step and then BOTORCH_MODULAR for 1 step.
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     │ range  │ -100        │ 10          │                       │ int   │ No         │
│ float_param   │ range  │ -100        │ 10          │                       │ float │ No         │
│ choice_param  │ choice │             │             │ 1, 2, 4, 8, 16, hallo │       │            │
│ int_param_two │ range  │ -100        │ 10          │                       │ int   │ No         │
└───────────────┴────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT      │         min │
└─────────────┴─────────────┘
⠋ Write files and show overview
BOTORCH_MODULAR, best RESULT: -278356.237281623, ▁█, finishing jobs, finished 1 job : 100%|██████████| 2/2 [00:22<00:00, 11.10s/it]
Best RESULT, min (total: 2)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃ OO_Info_int_param ┃ OO_Info_int_param_two ┃ OO_Info_float_param ┃ OO_Info_choice_param ┃ int_param ┃ float_param        ┃ int_param_two ┃ choice_param ┃ RESULT            ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│ -95               │ -98                   │ -80.34548452122283  │ 2                    │ -95       │ -80.34548452122283 │ -98           │ 2            │ -278356.237281623 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time  ┃ Max time  ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│           2           │ 6.00 sec  │ 6.00 sec  │   6.00 sec   │  6.00 sec   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.036 │    1 │        0.036 │
│         2 │   0.366 │    1 │        0.366 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.201 │      │              │
│    Median │   0.201 │      │              │
│     Total │   0.402 │      │              │
│       Max │   0.366 │      │              │
│       Min │   0.036 │      │              │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.183 │    1 │        0.183 │
│       2 │   0.076 │    1 │        0.076 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.130 │      │              │
│  Median │   0.130 │      │              │
│   Total │   0.259 │      │              │
│     Max │   0.183 │      │              │
│     Min │   0.076 │      │              │
└─────────┴─────────┴──────┴──────────────┘

╭──────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────────────────────────────────╮
│                                                                                                                                                                                                      │
│  ✅  Optimization complete!                                                                                                                                                                          │
│                                                                                                                                                                                                      │
│    📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted                                                                                                                                          │
│    ⏱️  Duration: 33s                                                                                                                                                                                 │
│    🏆 Best RESULT: -278356.237281623                                                                                                                                                                 │
│    📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0/results.csv                                                                                                     │
│    🧠 Model: BOTORCH_MODULAR                                                                                                                                                                         │
│                                                                                                                                                                                                      │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

2026-05-30 11:40:24 (0df16fe1-672a-4902-8d03-a9ffeca528db): SOBOL, Started OmniOpt2 run...
2026-05-30 11:40:24 (0df16fe1-672a-4902-8d03-a9ffeca528db): SOBOL, getting new HP set (no sbatch)
2026-05-30 11:40:24 (0df16fe1-672a-4902-8d03-a9ffeca528db): SOBOL, requested 1 jobs, got 1, 0.04 s/job
2026-05-30 11:40:24 (0df16fe1-672a-4902-8d03-a9ffeca528db): SOBOL, eval #1/1 start                    
2026-05-30 11:40:24 (0df16fe1-672a-4902-8d03-a9ffeca528db): SOBOL, starting new job                   
2026-05-30 11:40:24 (0df16fe1-672a-4902-8d03-a9ffeca528db): SOBOL, started new job                    
2026-05-30 11:40:33 (0df16fe1-672a-4902-8d03-a9ffeca528db): SOBOL, new result: RESULT: -32364.117928  
2026-05-30 11:40:35 (0df16fe1-672a-4902-8d03-a9ffeca528db): SOBOL, best RESULT: -32364.1179275225, finishing jobs, finished 1 job
2026-05-30 11:40:35 (0df16fe1-672a-4902-8d03-a9ffeca528db): BOTORCH_MODULAR, best RESULT: -32364.1179275225, getting new HP set (no sbatch)
2026-05-30 11:40:35 (0df16fe1-672a-4902-8d03-a9ffeca528db): BOTORCH_MODULAR, best RESULT: -32364.1179275225, requested 1 jobs, got 1, 0.37 s/job
2026-05-30 11:40:35 (0df16fe1-672a-4902-8d03-a9ffeca528db): BOTORCH_MODULAR, best RESULT: -32364.1179275225, eval #1/1 start                    
2026-05-30 11:40:35 (0df16fe1-672a-4902-8d03-a9ffeca528db): BOTORCH_MODULAR, best RESULT: -32364.1179275225, starting new job                   
2026-05-30 11:40:35 (0df16fe1-672a-4902-8d03-a9ffeca528db): BOTORCH_MODULAR, best RESULT: -32364.1179275225, started new job                    
2026-05-30 11:40:44 (0df16fe1-672a-4902-8d03-a9ffeca528db): BOTORCH_MODULAR, best RESULT: -32364.1179275225, new result: RESULT: -278356.237282 
2026-05-30 11:40:46 (0df16fe1-672a-4902-8d03-a9ffeca528db): BOTORCH_MODULAR, best RESULT: -278356.237281623, ▁█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.183 │    1 │        0.183 │
│       2 │   0.076 │    1 │        0.076 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.130 │      │              │
│  Median │   0.130 │      │              │
│   Total │   0.259 │      │              │
│     Max │   0.183 │      │              │
│     Min │   0.076 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.036 │    1 │        0.036 │
│         2 │   0.366 │    1 │        0.366 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.201 │      │              │
│    Median │   0.201 │      │              │
│     Total │   0.402 │      │              │
│       Max │   0.366 │      │              │
│       Min │   0.036 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9p…
experiment_name	__main__tests__BOTORCH_MODULAR___nogridsearch
mem_gb	4
parameter	[['int_param', 'range', '-100', '10', 'int'], ['float_param', 'range', '-100', '10', 'float'], ['choice_param', 'choice', '1,2,4,8,16,hallo'],
	['int_param_two', 'range', '-100', '10', 'int']]
continue_previous_job	None
experiment_constraints	None
run_dir	runs
seed	None
verbose_tqdm	False
model	BOTORCH_MODULAR
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	/root
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	False
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	True
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
nr_evals_per_arm	1
disable_notifications	True
dump_config	None
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	1
worker_timeout	5
slurm_use_srun	False
time	60
partition	alpha
reservation	None
force_local_execution	False
slurm_signal_delay_s	0
nodes_per_job	1
cpus_per_task	1
account	None
gpus	0
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	True
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

This logs the CPU and RAM usage of the main worker process.

timestamp,ram_usage_mb,cpu_usage_percent
1780141221,790.49609375,28.1

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	6	6	0	2
OO_Info_int_param	-95	-48	-71.5	23.5	2
OO_Info_int_param_two	-98	-14	-56	42	2
OO_Info_float_param	-80.3455	9.2047	-35.5704	44.7751	2
OO_Info_choice_param	No numerical statistics available
RESULT	-278356.2373	-32364.1179	-155360.1776	122996.0597	2
int_param	-95	-48	-71.5	23.5	2
float_param	-80.3455	9.2047	-35.5704	44.7751	2
int_param_two	-98	-14	-56	42	2
choice_param	No numerical statistics available

submitit INFO (2026-05-30 11:40:36,147) - Starting with JobEnvironment(job_id=1258, hostname=9d566e897da6, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-05-30 11:40:36,147) - Loading pickle: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0/single_runs/1258/1258_submitted.pkl
Trial-Index: 1

Parameters: {"int_param": -95, "float_param": -80.34548452122283, "int_param_two": -98, "choice_param": 2}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example  --int_param='-95' --float_param='-80.34548452122282924392' --choice_param='2' --int_param_two='-98' --nr_results=1
pwd: /var/opt/omniopt
File: ./.tests/optimization_example
UID: 0
GID: 0
Status-Change-Time: 1780141168.0509472
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: root
Last access: 1780140866.5728924
Last modification: 1780140866.5728924
Hostname: 9d566e897da6
========
DEBUG INFOS END

./.tests/optimization_example  --int_param='-95' --float_param='-80.34548452122282924392' --choice_param='2' --int_param_two='-98' --nr_results=1
stdout:
 OO-Info: int_param: -95
OO-Info: int_param_two: -98
OO-Info: float_param: -80.34548452122282924392
OO-Info: choice_param: 2
RESULT: -278356.237281623

stderr was empty
Result: {'RESULT': -278356.237281623}
Final-results: {'RESULT': -278356.237281623}
EXIT_CODE: 0
submitit INFO (2026-05-30 11:40:43,665) - Job completed successfully
submitit INFO (2026-05-30 11:40:43,665) - Exiting after successful completion