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Current git-hash: 994947df0c9dd58e83a3d3605f909757dcb65b59 (last fully tested stable version 2 commits ago [b54799bbb6092ee7a47e6c8cafaff1661ff693b6, 9418])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 08-02 06:06:52] 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]`.
Using old run's --time: 60Using old run's --gpus: 0
Run-UUID: 7222daf9-e382-4b5a-835f-c58cdaf313bf
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/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)
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
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| OmniOpt2 - Finding the needle in the hyper haysta |
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omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=283 for live-results.You have 4 CPUs available for the main process.No CUDA devices found.Generation strategy: BOTORCH_MODULAR for 5 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│
└─────────────┴─────────────┘
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 + inserted jobs: 2)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━┓
┃OO_Info_int_param┃OO_Info_int_para…┃OO_Info_float_pa…┃OO_Info_choice_…┃int_param┃float_param┃int_param_two┃choice_param┃RESULT ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩
│-32.0 │-100.0 │-100.0 │hallo │-32 │-100.0 │-100 │hallo │-233716.52│
└───────────────────┴───────────────────┴───────────────────┴──────────────────┴───────────┴─────────────┴───────────────┴──────────────┴────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
╭───────────────────────────────────────────────────────────────OmniOpt2 Run Summary───────────────────────────────────────────────────────────────╮│││ ✅ Optimization complete!││││ 📊 Trials: 2 succeeded / 0 failed / 4 done / 4 submitted ││ ⏱️ Duration: 28s ││ 🏆 Best RESULT: -233716.52 ││ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1/results.csv││ 🤖 Model: BOTORCH_MODULAR │││╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-08-02 06:06:54 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-08-02 06:06:55 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-08-02 06:06:55 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.48 s/job
2026-08-02 06:06:55 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, eval #1/1 start
2026-08-02 06:06:55 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, starting new job
2026-08-02 06:06:55 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, started new job
2026-08-02 06:07:03 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, new result: RESULT: -233716.520000
2026-08-02 06:07:04 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, best RESULT: -233716.52, ▇▁█, finishing jobs, finished 1 job
2026-08-02 06:07:05 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, best RESULT: -233716.52, ▇▁█, getting new HP set (no sbatch)
2026-08-02 06:07:05 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, best RESULT: -233716.52, ▇▁█, requested 1 jobs, got 1, 0.45 s/job
2026-08-02 06:07:05 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, best RESULT: -233716.52, ▇▁█, eval #1/1 start
2026-08-02 06:07:05 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, best RESULT: -233716.52, ▇▁█, starting new job
2026-08-02 06:07:05 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, best RESULT: -233716.52, ▇▁█, started new job
2026-08-02 06:07:13 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, best RESULT: -233716.52, ▇▁█, new result: RESULT: -220192.520000
2026-08-02 06:07:14 (a971c02c-a652-4bb0-8a10-830310a439f3): BOTORCH_MODULAR, best RESULT: -233716.52, ▇▁█▇, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.101 │ 1 │ 0.101 │
│ 2 │ 0.066 │ 1 │ 0.066 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.083 │ │ │
│ Median │ 0.083 │ │ │
│ Total │ 0.167 │ │ │
│ Max │ 0.101 │ │ │
│ Min │ 0.066 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.480 │ 1 │ 0.480 │
│ 2 │ 0.448 │ 1 │ 0.448 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.464 │ │ │
│ Median │ 0.464 │ │ │
│ Total │ 0.927 │ │ │
│ Max │ 0.480 │ │ │
│ Min │ 0.448 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Parameters ranked by absolute Pearson correlation with each result. Stronger correlations (|r| ≥ 0.7) suggest the parameter has more influence on the outcome.