========================================================================
Current git-hash: 01b08d618b49d942e55420979b7925f87f54957e (version: 9319)
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-10 01:27:02] 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]`.
Run-UUID: e6c1c012-2e36-4635-8f3e-a83bbeb25d37
/home/runner/.omniax_venvs/Python_3.12.3/x86_64/lib/python3.12/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_3.12.3/x86_64/lib/python3.12/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
_________________________________________________
/ \
| OmniOpt2 - As timeless as Metropolis, but with be |
| tter optimization. |
\ /
=================================================
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omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=multi_results_2_results_BOTORCH_MODULAR --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgLS1pbnRfcGFyYW09JyUoaW50X3BhcmFtKScgLS1mbG9hdF9wYXJhbT0nJShmbG9hdF9wYXJhbSknIC0tY2hvaWNlX3BhcmFtPSclKGNob2ljZV9wYXJhbSknICAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0yCg== --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 --result_names RESULT1=min RESULT2=min --model=BOTORCH_MODULAR --generate_all_jobs_at_once
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/0See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=multi_results_2_results_BOTORCH_MODULAR&run_nr=135 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=2
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?┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│RESULT1 │ min│
│RESULT2 │ min│
└─────────────┴─────────────┘
Your console does not support sixel-images. Will not print Pareto-frontier as a
matplotlib-sixel-plot for RESULT1/RESULT2.
Pareto-Front for RESULT1/RESULT2:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃trial_index┃int_param┃ float_param ┃int_param_two┃choice_param┃ RESULT1 ┃ RESULT2 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 0 │ 0 │-43.95480692386627│ -7 │ 16 │ 1.988668745 │ 2.7049657226 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 1 │ -91 │7.030748212074067 │ -72 │ hallo │1.92151477218522│2.74653191175045│
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃param1┃param2┃param3┃error_description ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│value1│value2│value3│Some error occurred during execution (this is not a real error!).│
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
Not printing sixel graphics in CI
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 / 2 done / 2 submitted ││ ⏱️ Duration: 38s ││ 🏆 Best RESULT1: 1.92151477218522 ││ 🏆 Best RESULT2: 2.7049657226 ││ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/0/results.csv││ 🧠 Model: BOTORCH_MODULAR │││╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-10 01:27:06 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): SOBOL, Started OmniOpt2 run...
2026-05-10 01:27:06 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): SOBOL, getting new HP set (no sbatch)
2026-05-10 01:27:06 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): SOBOL, requested 1 jobs, got 1, 0.05 s/job
2026-05-10 01:27:06 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): SOBOL, eval #1/1 start
2026-05-10 01:27:06 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): SOBOL, starting new job
2026-05-10 01:27:06 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): SOBOL, started new job
2026-05-10 01:27:15 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): SOBOL, new result: RESULT1: 1.988669, RESULT2: 2.704966
2026-05-10 01:27:17 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): SOBOL, 1 done, finishing jobs, finished 1 job
2026-05-10 01:27:18 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2026-05-10 01:27:18 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.75 s/job
2026-05-10 01:27:18 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): BOTORCH_MODULAR, 1 done, eval #1/1 start
2026-05-10 01:27:18 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): BOTORCH_MODULAR, 1 done, starting new job
2026-05-10 01:27:18 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): BOTORCH_MODULAR, 1 done, started new job
2026-05-10 01:27:27 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.921515, RESULT2: 2.746532
2026-05-10 01:27:30 (7c906dd8-c5c3-4513-bb57-66be6df4e84d): BOTORCH_MODULAR, 2 done, ▁█, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.257 │ 1 │ 0.257 │
│ 2 │ 0.108 │ 1 │ 0.108 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.183 │ │ │
│ Median │ 0.183 │ │ │
│ Total │ 0.366 │ │ │
│ Max │ 0.257 │ │ │
│ Min │ 0.108 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.050 │ 1 │ 0.050 │
│ 2 │ 0.746 │ 1 │ 0.746 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.398 │ │ │
│ Median │ 0.398 │ │ │
│ Total │ 0.796 │ │ │
│ Max │ 0.746 │ │ │
│ Min │ 0.050 │ │ │
└───────────┴─────────┴──────┴──────────────┘