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Current git-hash: 776b40647c39ee42c9f8443c9f17f6559d9b1106 (last fully tested stable version 5 commits ago [b9f1e470f24bdacf974e4cf9defd5b88ea683b32, 9405])
Using coverage run -p because $RUN_WITH_COVERAGE is set
⠋Loading base modules...⠋Loading rich UI components...⠋Loading type and utility modules...⠋Loading optional modules...⠙Importing helpers...⠋Importing pareto...⠋Parsing arguments...⠸Loading ML frameworks...
[INFO 07-20 18:40:43] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
⠇Loading Ax platform...⠋Loading Ax storage and data...⠋Loading data science stack...⠋Importing ax logger...⠋Importing SQL-Storage-Stuff...
Run-UUID: dece2842-d689-491c-8bed-2ba7ad3d86dc
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/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)
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
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⠋Writing worker creation log...
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --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 --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --generate_all_jobs_at_once --follow --show_generate_time_table --disable_notifications
⠋Disabling logging...⠋Setting run folder...⠋Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0...⠋Writing revert_to_random_when_seemingly_exhausted file ...⠋Writing username state file...⠋Writing result names file...⠋Writing result min/max file...⠋Saving state files...Run-folder: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0⠋Writing live_share file if it is present...⠋Writing job_start_time file...⠋Writing git information⠋Checking max_eval...⠋Calculating number of steps...⠋Adding excluded nodes...⠋Initializing ax_client...⠋Setting orchestrator...See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=162 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│
└─────────────┴─────────────┘
⠋Write files and show overview
BOTORCH_MODULAR, best RESULT: -200895.807276164, ▁█, finishing jobs, finished 1 job : 100%|██████████| 2/2 [00:22<00:00, 11.23s/it]
Best RESULT, min (total: 2)
┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓
┃OO_Info_int_pa…┃OO_Info_int_pa…┃OO_Info_float_…┃OO_Info_choic…┃int_param┃float_param ┃int_param_two┃choice_param┃RESULT ┃
┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩
│-88 │-50 │-86.7381530641…│8 │-88 │-86.7381530641…│-50 │8 │-200895.80727…│
└─────────────────┴─────────────────┴─────────────────┴────────────────┴───────────┴─────────────────┴───────────────┴──────────────┴────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃Iteration┃Seconds┃Jobs┃Time per job┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.038 │ 1 │ 0.038 │
│ 2 │ 0.397 │ 1 │ 0.397 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.217 │ │ │
│ Median │ 0.217 │ │ │
│ Total │ 0.435 │ │ │
│ Max │ 0.397 │ │ │
│ Min │ 0.038 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch┃Seconds┃Jobs┃Time per job┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.193 │ 1 │ 0.193 │
│ 2 │ 0.081 │ 1 │ 0.081 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.137 │ │ │
│ Median │ 0.137 │ │ │
│ Total │ 0.273 │ │ │
│ Max │ 0.193 │ │ │
│ Min │ 0.081 │ │ │
└─────────┴─────────┴──────┴──────────────┘
╭───────────────────────────────────────────────────────────────OmniOpt2 Run Summary───────────────────────────────────────────────────────────────╮│││ ✅ Optimization complete!││││ 📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted ││ ⏱️ Duration: 33s ││ 🏆 Best RESULT: -200895.807276164 ││ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0/results.csv││ 🤖 Model: BOTORCH_MODULAR │││╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-07-20 18:40:46 (16386f0e-8fce-40e2-9e40-736ee9621233): SOBOL, Started OmniOpt2 run...
2026-07-20 18:40:46 (16386f0e-8fce-40e2-9e40-736ee9621233): SOBOL, getting new HP set (no sbatch)
2026-07-20 18:40:46 (16386f0e-8fce-40e2-9e40-736ee9621233): SOBOL, requested 1 jobs, got 1, 0.04 s/job
2026-07-20 18:40:46 (16386f0e-8fce-40e2-9e40-736ee9621233): SOBOL, eval #1/1 start
2026-07-20 18:40:46 (16386f0e-8fce-40e2-9e40-736ee9621233): SOBOL, starting new job
2026-07-20 18:40:47 (16386f0e-8fce-40e2-9e40-736ee9621233): SOBOL, started new job
2026-07-20 18:40:56 (16386f0e-8fce-40e2-9e40-736ee9621233): SOBOL, new result: RESULT: -28594.899810
2026-07-20 18:40:57 (16386f0e-8fce-40e2-9e40-736ee9621233): SOBOL, best RESULT: -28594.8998097786, finishing jobs, finished 1 job
2026-07-20 18:40:58 (16386f0e-8fce-40e2-9e40-736ee9621233): BOTORCH_MODULAR, best RESULT: -28594.8998097786, getting new HP set (no sbatch)
2026-07-20 18:40:58 (16386f0e-8fce-40e2-9e40-736ee9621233): BOTORCH_MODULAR, best RESULT: -28594.8998097786, requested 1 jobs, got 1, 0.40 s/job
2026-07-20 18:40:58 (16386f0e-8fce-40e2-9e40-736ee9621233): BOTORCH_MODULAR, best RESULT: -28594.8998097786, eval #1/1 start
2026-07-20 18:40:58 (16386f0e-8fce-40e2-9e40-736ee9621233): BOTORCH_MODULAR, best RESULT: -28594.8998097786, starting new job
2026-07-20 18:40:58 (16386f0e-8fce-40e2-9e40-736ee9621233): BOTORCH_MODULAR, best RESULT: -28594.8998097786, started new job
2026-07-20 18:41:07 (16386f0e-8fce-40e2-9e40-736ee9621233): BOTORCH_MODULAR, best RESULT: -28594.8998097786, new result: RESULT: -200895.807276
2026-07-20 18:41:09 (16386f0e-8fce-40e2-9e40-736ee9621233): BOTORCH_MODULAR, best RESULT: -200895.807276164, ▁█, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.193 │ 1 │ 0.193 │
│ 2 │ 0.081 │ 1 │ 0.081 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.137 │ │ │
│ Median │ 0.137 │ │ │
│ Total │ 0.273 │ │ │
│ Max │ 0.193 │ │ │
│ Min │ 0.081 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.038 │ 1 │ 0.038 │
│ 2 │ 0.397 │ 1 │ 0.397 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.217 │ │ │
│ Median │ 0.217 │ │ │
│ Total │ 0.435 │ │ │
│ Max │ 0.397 │ │ │
│ Min │ 0.038 │ │ │
└───────────┴─────────┴──────┴──────────────┘
! 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.