========================================================================
Current git-hash: 1da9c7062535004bc4beeb1eb73fba7ae8c5e7ca (last fully tested stable version 2 commits ago [40e86984857e047bcfb600b452b0692331ba16d4, 9396])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 07-20 07:25:27] 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: f6123e09-349c-43ad-9458-9f70a0b57e9b
/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.")
_________________________________________________
/ \
| OmniOpt2 - More focused than a cat watching a las |
| er pointer. |
\ /
=================================================
\
\
\
.--.
|o_o |
|:_/ |
// \ \
(| | )
/'\_ _/`\
\___)=(___/
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/0See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=adding_old_jobs_to_new_jobs&run_nr=309 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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│-89 │-10 │-62.14234973373083 │2 │-89 │-62.14234973373083│-10 │2 │-136057.071277666│
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴───────────────────┘
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: 31s ││ 🏆 Best RESULT: -136057.071277666 ││ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/0/results.csv││ 🤖 Model: BOTORCH_MODULAR │││╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-07-20 07:25:29 (e24b338d-5f35-42e4-80f0-22f1447de7df): SOBOL, Started OmniOpt2 run...
2026-07-20 07:25:29 (e24b338d-5f35-42e4-80f0-22f1447de7df): SOBOL, getting new HP set (no sbatch)
2026-07-20 07:25:29 (e24b338d-5f35-42e4-80f0-22f1447de7df): SOBOL, requested 1 jobs, got 1, 0.03 s/job
2026-07-20 07:25:29 (e24b338d-5f35-42e4-80f0-22f1447de7df): SOBOL, eval #1/1 start
2026-07-20 07:25:29 (e24b338d-5f35-42e4-80f0-22f1447de7df): SOBOL, starting new job
2026-07-20 07:25:30 (e24b338d-5f35-42e4-80f0-22f1447de7df): SOBOL, started new job
2026-07-20 07:25:39 (e24b338d-5f35-42e4-80f0-22f1447de7df): SOBOL, new result: RESULT: -98042.431309
2026-07-20 07:25:40 (e24b338d-5f35-42e4-80f0-22f1447de7df): SOBOL, best RESULT: -98042.4313093335, finishing jobs, finished 1 job
2026-07-20 07:25:40 (e24b338d-5f35-42e4-80f0-22f1447de7df): BOTORCH_MODULAR, best RESULT: -98042.4313093335, getting new HP set (no sbatch)
2026-07-20 07:25:40 (e24b338d-5f35-42e4-80f0-22f1447de7df): BOTORCH_MODULAR, best RESULT: -98042.4313093335, requested 1 jobs, got 1, 0.37 s/job
2026-07-20 07:25:40 (e24b338d-5f35-42e4-80f0-22f1447de7df): BOTORCH_MODULAR, best RESULT: -98042.4313093335, eval #1/1 start
2026-07-20 07:25:40 (e24b338d-5f35-42e4-80f0-22f1447de7df): BOTORCH_MODULAR, best RESULT: -98042.4313093335, starting new job
2026-07-20 07:25:40 (e24b338d-5f35-42e4-80f0-22f1447de7df): BOTORCH_MODULAR, best RESULT: -98042.4313093335, started new job
2026-07-20 07:25:49 (e24b338d-5f35-42e4-80f0-22f1447de7df): BOTORCH_MODULAR, best RESULT: -98042.4313093335, new result: RESULT: -136057.071278
2026-07-20 07:25:51 (e24b338d-5f35-42e4-80f0-22f1447de7df): BOTORCH_MODULAR, best RESULT: -136057.071277666, ▁█, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.123 │ 1 │ 0.123 │
│ 2 │ 0.076 │ 1 │ 0.076 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.100 │ │ │
│ Median │ 0.100 │ │ │
│ Total │ 0.199 │ │ │
│ Max │ 0.123 │ │ │
│ Min │ 0.076 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.030 │ 1 │ 0.030 │
│ 2 │ 0.374 │ 1 │ 0.374 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.202 │ │ │
│ Median │ 0.202 │ │ │
│ Total │ 0.404 │ │ │
│ Max │ 0.374 │ │ │
│ Min │ 0.030 │ │ │
└───────────┴─────────┴──────┴──────────────┘
! No notable correlations between parameters were found (threshold: |r| > 0.3).
Top-5 Best Results
Parameter Sensitivity Ranking
Parameters ranked by absolute Pearson correlation with each result. Stronger correlations (|r| ≥ 0.7) suggest the parameter has more influence on the outcome.