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Current git-hash: 8dc18a659cdc2aed0ea64c43e7702ffcd93747db (last fully tested stable version 6 commits ago [7ec7c180ddeb70e69ef837c896ebe061f7046be1, 9375])
Using coverage run -p because $RUN_WITH_COVERAGE is set
⠋Importing logging...⠋Importing warnings...⠋Importing argparse...⠋Importing datetime...⠋Importing dataclass...⠋Importing socket...⠋Importing stat...⠋Importing pwd...⠋Importing base64...⠋Importing json...⠋Importing yaml...⠋Importing toml...⠋Importing csv...⠋Importing ast...⠋Importing rich.table...⠋Importing rich print...⠋Importing rich.pretty...⠋Importing pformat...⠋Importing rich.prompt...⠋Importing types.FunctionType...⠋Importing typing...⠋Importing ThreadPoolExecutor...⠋Importing submitit.LocalExecutor...⠋Importing submitit.Job...⠋Importing importlib.util...⠋Importing platform...⠋Importing inspect frame info...⠋Importing pathlib.Path...⠋Importing uuid...⠋Importing cowsay...⠋Importing shutil...⠋Importing itertools.combinations...⠋Importing os.listdir...⠋Importing os.path...⠋Importing PIL.Image...⠋Importing sixel...⠋Importing subprocess...⠋Importing tqdm...⠋Importing beartype...⠋Importing statistics...⠋Importing notifier...⠋Trying to import pyfiglet...⠙Importing helpers...⠋Importing pareto...⠋Parsing arguments...⠸Importing torch...⠋Importing numpy...
[INFO 07-16 07:27:03] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
⠧Importing ax...⠋Importing ax.core.generator_run...⠋Importing Cont_X_trans and Y_trans from ax.adapter.registry...⠋Importing ax.core.arm...⠋Importing ax.core.objective...⠋Importing ax.core.Metric...⠋Importing ax.exceptions.core...⠋Importing ax.exceptions.generation_strategy...⠋Importing CORE_DECODER_REGISTRY...⠋Trying ax.generation_strategy.generation_node...⠋Importing GenerationStep, GenerationStrategy from generation_strategy...⠋Importing GenerationNode from generation_node...⠋Importing ExternalGenerationNode...⠋Importing MinTrials...⠋Importing GeneratorSpec...⠋Importing Generators from ax.generation_strategy.registry...⠋Importing load_experiment...⠋Importing save_experiment...⠋Importing save_experiment_to_db...⠋Importing TrialStatus...⠋Importing Data...⠋Importing Experiment...⠋Importing parameter types...⠋Importing TParameterization...⠋Importing pandas...⠋Importing AxClient and ObjectiveProperties...⠋Importing RandomForestRegressor...⠋Importing botorch...⠋Importing submitit...⠋Importing ax logger...⠋Importing SQL-Storage-Stuff...
Run-UUID: 1c2dee4b-e68e-43e2-a8c3-5401f95c3ef9
//.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=123 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: -159688.709504087, █▁, finishing jobs, finished 1 job : 100%|██████████| 2/2 [00:21<00:00, 10.80s/it]
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 ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│-70 │-12 │-95.0914529338479 │1 │-70 │-95.0914529338479│-12 │1 │-159688.709504087│
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴───────────────────┴───────────────┴──────────────┴───────────────────┘
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 │ 0.036 │ 1 │ 0.036 │
│ 2 │ 0.379 │ 1 │ 0.379 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.208 │ │ │
│ Median │ 0.208 │ │ │
│ Total │ 0.415 │ │ │
│ Max │ 0.379 │ │ │
│ Min │ 0.036 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch┃Seconds┃Jobs┃Time per job┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.191 │ 1 │ 0.191 │
│ 2 │ 0.077 │ 1 │ 0.077 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.134 │ │ │
│ Median │ 0.134 │ │ │
│ Total │ 0.268 │ │ │
│ Max │ 0.191 │ │ │
│ Min │ 0.077 │ │ │
└─────────┴─────────┴──────┴──────────────┘
╭────────────────────────────────────────────────────────────────────────────────────────OmniOpt2 Run Summary────────────────────────────────────────────────────────────────────────────────────────╮│││ ✅ Optimization complete!││││ 📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted ││ ⏱️ Duration: 31s ││ 🏆 Best RESULT: -159688.709504087 ││ 📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0/results.csv││ 🤖 Model: BOTORCH_MODULAR │││╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-07-16 07:27:06 (87f30318-9a77-4d81-87cd-233791499d14): SOBOL, Started OmniOpt2 run...
2026-07-16 07:27:06 (87f30318-9a77-4d81-87cd-233791499d14): SOBOL, getting new HP set (no sbatch)
2026-07-16 07:27:06 (87f30318-9a77-4d81-87cd-233791499d14): SOBOL, requested 1 jobs, got 1, 0.04 s/job
2026-07-16 07:27:06 (87f30318-9a77-4d81-87cd-233791499d14): SOBOL, eval #1/1 start
2026-07-16 07:27:06 (87f30318-9a77-4d81-87cd-233791499d14): SOBOL, starting new job
2026-07-16 07:27:06 (87f30318-9a77-4d81-87cd-233791499d14): SOBOL, started new job
2026-07-16 07:27:15 (87f30318-9a77-4d81-87cd-233791499d14): SOBOL, new result: RESULT: -159688.709504
2026-07-16 07:27:16 (87f30318-9a77-4d81-87cd-233791499d14): SOBOL, best RESULT: -159688.709504087, finishing jobs, finished 1 job
2026-07-16 07:27:17 (87f30318-9a77-4d81-87cd-233791499d14): BOTORCH_MODULAR, best RESULT: -159688.709504087, getting new HP set (no sbatch)
2026-07-16 07:27:17 (87f30318-9a77-4d81-87cd-233791499d14): BOTORCH_MODULAR, best RESULT: -159688.709504087, requested 1 jobs, got 1, 0.38 s/job
2026-07-16 07:27:17 (87f30318-9a77-4d81-87cd-233791499d14): BOTORCH_MODULAR, best RESULT: -159688.709504087, eval #1/1 start
2026-07-16 07:27:17 (87f30318-9a77-4d81-87cd-233791499d14): BOTORCH_MODULAR, best RESULT: -159688.709504087, starting new job
2026-07-16 07:27:17 (87f30318-9a77-4d81-87cd-233791499d14): BOTORCH_MODULAR, best RESULT: -159688.709504087, started new job
2026-07-16 07:27:26 (87f30318-9a77-4d81-87cd-233791499d14): BOTORCH_MODULAR, best RESULT: -159688.709504087, new result: RESULT: -16813.886412
2026-07-16 07:27:27 (87f30318-9a77-4d81-87cd-233791499d14): BOTORCH_MODULAR, best RESULT: -159688.709504087, █▁, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.191 │ 1 │ 0.191 │
│ 2 │ 0.077 │ 1 │ 0.077 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.134 │ │ │
│ Median │ 0.134 │ │ │
│ Total │ 0.268 │ │ │
│ Max │ 0.191 │ │ │
│ Min │ 0.077 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.036 │ 1 │ 0.036 │
│ 2 │ 0.379 │ 1 │ 0.379 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.208 │ │ │
│ Median │ 0.208 │ │ │
│ Total │ 0.415 │ │ │
│ Max │ 0.379 │ │ │
│ Min │ 0.036 │ │ │
└───────────┴─────────┴──────┴──────────────┘
! 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.
