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Current git-hash: bb3da5498a7ec1994891f33dac83f626ca69e85c (last fully tested stable version 6 commits ago [b9f1e470f24bdacf974e4cf9defd5b88ea683b32, 9405])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 07-20 19:50:32] 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: ebde8f3c-2858-4779-81f3-c71def4aa610
/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 - Not all who wander are lost... just do |
| ing a random search. |
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omniopt --partition=alpha --experiment_name=example_all_float --mem_gb=4 --time=60 --worker_timeout=5 --max_eval=2 --num_parallel_jobs=1 --gpus=0 --num_random_steps=1 --send_anonymized_usage_stats --run_program=LnRlc3RzL29wdGltaXphdGlvbl9leGFtcGxlX2FsbF9mbG9hdCAgLS14PSUoeCkgLS15PSUoeSkgLS16PSUoeikgLS1hPSUoYSkK --cpus_per_task=1 --nodes_per_job=1 --model=BOTORCH_MODULAR --run_mode=local --parameter x range -1000 1000 float --parameter y range -1000 1000 float --parameter z range -1000 1000 float --parameter a range -1000 1000 float --live_share --generate_all_jobs_at_once --follow --show_generate_time_table --disable_notifications
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/example_all_float/1See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=example_all_float&run_nr=168 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_all_float --x=%(x) --y=%(y) --z=%(z) --a=%(a)
Experiment parameters
┏━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃Name┃Type ┃Lower bound┃Upper bound┃Type ┃Log Scale?┃
┡━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│x │range│-1000 │1000 │float│No │
│y │range│-1000 │1000 │float│No │
│z │range│-1000 │1000 │float│No │
│a │range│-1000 │1000 │float│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)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
┃x ┃y ┃z ┃a ┃RESULT ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
│888.7174744158983│369.93953585624695│-870.9266129881144│993.9512312412262│-26607231.1906694│
└───────────────────┴────────────────────┴────────────────────┴───────────────────┴───────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃Iteration┃Seconds┃Jobs┃Time per job┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.024 │ 1 │ 0.024 │
│ 2 │ 0.321 │ 1 │ 0.321 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.172 │ │ │
│ Median │ 0.172 │ │ │
│ Total │ 0.345 │ │ │
│ Max │ 0.321 │ │ │
│ Min │ 0.024 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch┃Seconds┃Jobs┃Time per job┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.124 │ 1 │ 0.124 │
│ 2 │ 0.073 │ 1 │ 0.073 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.099 │ │ │
│ Median │ 0.099 │ │ │
│ Total │ 0.197 │ │ │
│ Max │ 0.124 │ │ │
│ Min │ 0.073 │ │ │
└─────────┴─────────┴──────┴──────────────┘
╭───────────────────────────────────────────────────────────────OmniOpt2 Run Summary───────────────────────────────────────────────────────────────╮│││ ✅ Optimization complete!││││ 📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted ││ ⏱️ Duration: 31s ││ 🏆 Best RESULT: -26607231.1906694 ││ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/example_all_float/1/results.csv││ 🤖 Model: BOTORCH_MODULAR │││╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-07-20 19:50:34 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): SOBOL, Started OmniOpt2 run...
2026-07-20 19:50:34 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): SOBOL, getting new HP set (no sbatch)
2026-07-20 19:50:34 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): SOBOL, requested 1 jobs, got 1, 0.02 s/job
2026-07-20 19:50:34 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): SOBOL, eval #1/1 start
2026-07-20 19:50:34 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): SOBOL, starting new job
2026-07-20 19:50:34 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): SOBOL, started new job
2026-07-20 19:50:43 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): SOBOL, new result: RESULT: -7918744.394594
2026-07-20 19:50:45 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): SOBOL, best RESULT: -7918744.39459416, finishing jobs, finished 1 job
2026-07-20 19:50:45 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): BOTORCH_MODULAR, best RESULT: -7918744.39459416, getting new HP set (no sbatch)
2026-07-20 19:50:45 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): BOTORCH_MODULAR, best RESULT: -7918744.39459416, requested 1 jobs, got 1, 0.32 s/job
2026-07-20 19:50:45 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): BOTORCH_MODULAR, best RESULT: -7918744.39459416, eval #1/1 start
2026-07-20 19:50:45 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): BOTORCH_MODULAR, best RESULT: -7918744.39459416, starting new job
2026-07-20 19:50:45 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): BOTORCH_MODULAR, best RESULT: -7918744.39459416, started new job
2026-07-20 19:50:54 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): BOTORCH_MODULAR, best RESULT: -7918744.39459416, new result: RESULT: -26607231.190669
2026-07-20 19:50:56 (7744edb3-8c6f-4118-b3a1-0239f1dc1c8f): BOTORCH_MODULAR, best RESULT: -26607231.1906694, ▁█, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.124 │ 1 │ 0.124 │
│ 2 │ 0.073 │ 1 │ 0.073 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.099 │ │ │
│ Median │ 0.099 │ │ │
│ Total │ 0.197 │ │ │
│ Max │ 0.124 │ │ │
│ Min │ 0.073 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.024 │ 1 │ 0.024 │
│ 2 │ 0.321 │ 1 │ 0.321 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.172 │ │ │
│ Median │ 0.172 │ │ │
│ Total │ 0.345 │ │ │
│ Max │ 0.321 │ │ │
│ Min │ 0.024 │ │ │
└───────────┴─────────┴──────┴──────────────┘
! 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.