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Current git-hash: 58c866c868c07da88eccea8bc47a8de539dae9f1 (last fully tested stable version 25 commits ago [1431d695e1d9911d740a43d6b86abbd58f76a3b1, 9230])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 02-19 15:04:34] 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]`.
Run-UUID: ba80880f-a87b-4f40-b86e-776ffcf34206
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/ \
| OmniOpt2 - Adjusting parameters with the precisio |
| n of a laser-guided squirrel. |
\ /
=================================================
\
\
^__^
(oo)\_______
(__)\ )\/\
||----w |
|| ||
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=adding_old_jobs_to_new_jobs --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgLS1pbnRfcGFyYW09JyUoaW50X3BhcmFtKScgLS1mbG9hdF9wYXJhbT0nJShmbG9hdF9wYXJhbSknIC0tY2hvaWNlX3BhcmFtPSclKGNob2ljZV9wYXJhbSknICAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --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 --follow --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/1See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=adding_old_jobs_to_new_jobs&run_nr=16 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│
└─────────────┴─────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃param1┃param2┃param3┃error_description ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│value1│value2│value3│Some error occurred during execution (this is not a real error!).│
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│-96 │-81 │-98.46363355643832 │hallo │-96 │-98.46363355643831│-81 │hallo │-282876.95468701│
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┘
Not printing sixel graphics in CI
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
2026-02-19 15:04:38 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): SOBOL, Started OmniOpt2 run...
2026-02-19 15:04:38 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): SOBOL, getting new HP set (no sbatch)
2026-02-19 15:04:38 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): SOBOL, requested 1 jobs, got 1, 0.05 s/job
2026-02-19 15:04:38 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): SOBOL, eval #1/1 start
2026-02-19 15:04:38 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): SOBOL, starting new job
2026-02-19 15:04:39 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): SOBOL, started new job
2026-02-19 15:04:48 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): SOBOL, new result: RESULT: -20005.244795
2026-02-19 15:04:49 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): SOBOL, best RESULT: -20005.24479466, finishing jobs, finished 1 job
2026-02-19 15:04:49 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): BOTORCH_MODULAR, best RESULT: -20005.24479466, getting new HP set (no sbatch)
2026-02-19 15:04:49 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): BOTORCH_MODULAR, best RESULT: -20005.24479466, requested 1 jobs, got 1, 0.42 s/job
2026-02-19 15:04:49 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): BOTORCH_MODULAR, best RESULT: -20005.24479466, eval #1/1 start
2026-02-19 15:04:49 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): BOTORCH_MODULAR, best RESULT: -20005.24479466, starting new job
2026-02-19 15:04:49 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): BOTORCH_MODULAR, best RESULT: -20005.24479466, started new job
2026-02-19 15:04:59 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): BOTORCH_MODULAR, best RESULT: -20005.24479466, new result: RESULT: -282876.954687
2026-02-19 15:05:01 (f57cc9da-48e4-4dc4-8167-2349cbeda3be): BOTORCH_MODULAR, best RESULT: -282876.95468701, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.260 │ 1 │ 0.260 │
│ 2 │ 0.088 │ 1 │ 0.088 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.174 │ │ │
│ Median │ 0.174 │ │ │
│ Total │ 0.347 │ │ │
│ Max │ 0.260 │ │ │
│ Min │ 0.088 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.049 │ 1 │ 0.049 │
│ 2 │ 0.419 │ 1 │ 0.419 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.234 │ │ │
│ Median │ 0.234 │ │ │
│ Total │ 0.468 │ │ │
│ Max │ 0.419 │ │ │
│ Min │ 0.049 │ │ │
└───────────┴─────────┴──────┴──────────────┘