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Current git-hash: b9ffa106afea6151b29e5ce24594ab93d0d8d592 (last fully tested stable version 3 commits ago [7ec7c180ddeb70e69ef837c896ebe061f7046be1, 9375])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 07-16 07:23:46] 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: 2ce473d6-4617-47f8-a8eb-b62497c88eef
/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 - Open the third eye of optimization – t |
| he truth is in the numbers. |
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omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --parameter float_param range -1000 1000 float --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
Changed parameter 'float_param': lower from -100.0 to -1000.0, upper from 10.0 to 1000.0, digits from None to 32See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=203 for live-results.You have 4 CPUs available for the main process.No CUDA devices found.Generation strategy: BOTORCH_MODULAR for 9 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│
└─────────────┴─────────────┘
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: 4)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│-100.0 │-100.0 │-864.8914755314878 │16.0 │-100 │-864.8914755314878│-100 │16 │-7788299.11202349│
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
Not printing sixel graphics in CI
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃Number of evaluations┃Min time ┃Max time ┃Average time┃Median time┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ 2 │ 6.00 sec │ 7.00 sec │ 6.50 sec │ 6.50 sec │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
╭────────────────────────────────────────────────────────────────────────────────────────OmniOpt2 Run Summary────────────────────────────────────────────────────────────────────────────────────────╮│││ ✅ Optimization complete!││││ 📊 Trials: 2 succeeded / 0 failed / 6 done / 6 submitted ││ ⏱️ Duration: 32s ││ 🏆 Best RESULT: -7788299.11202349 ││ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/results.csv││ 🤖 Model: BOTORCH_MODULAR │││╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-07-16 07:23:49 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-16 07:23:49 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-16 07:23:49 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.64 s/job
2026-07-16 07:23:49 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, eval #1/1 start
2026-07-16 07:23:49 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, starting new job
2026-07-16 07:23:49 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, started new job
2026-07-16 07:23:58 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, new result: RESULT: -4541402.255424
2026-07-16 07:24:00 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, best RESULT: -4541402.25542405, ▁▁▁▁█, finishing jobs, finished 1 job
2026-07-16 07:24:01 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, best RESULT: -4541402.25542405, ▁▁▁▁█, getting new HP set (no sbatch)
2026-07-16 07:24:01 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, best RESULT: -4541402.25542405, ▁▁▁▁█, requested 1 jobs, got 1, 0.90 s/job
2026-07-16 07:24:01 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, best RESULT: -4541402.25542405, ▁▁▁▁█, eval #1/1 start
2026-07-16 07:24:01 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, best RESULT: -4541402.25542405, ▁▁▁▁█, starting new job
2026-07-16 07:24:01 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, best RESULT: -4541402.25542405, ▁▁▁▁█, started new job
2026-07-16 07:24:10 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, best RESULT: -4541402.25542405, ▁▁▁▁█, new result: RESULT: -7788299.112023
2026-07-16 07:24:11 (ee0a5d14-0e9a-42fa-ab71-8b94da41398b): BOTORCH_MODULAR, best RESULT: -7788299.11202349, ▁▁▁▁▅█, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.123 │ 1 │ 0.123 │
│ 2 │ 0.077 │ 1 │ 0.077 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.100 │ │ │
│ Median │ 0.100 │ │ │
│ Total │ 0.200 │ │ │
│ Max │ 0.123 │ │ │
│ Min │ 0.077 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.640 │ 1 │ 0.640 │
│ 2 │ 0.898 │ 1 │ 0.898 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.769 │ │ │
│ Median │ 0.769 │ │ │
│ Total │ 1.538 │ │ │
│ Max │ 0.898 │ │ │
│ Min │ 0.640 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Parameters ranked by absolute Pearson correlation with each result. Stronger correlations (|r| ≥ 0.7) suggest the parameter has more influence on the outcome.