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Current git-hash: 1da9c7062535004bc4beeb1eb73fba7ae8c5e7ca (last fully tested stable version 2 commits ago [40e86984857e047bcfb600b452b0692331ba16d4, 9396])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[INFO 07-20 07:53:30] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
Run-UUID: 8210e25c-48cf-4085-b63d-e35da242fa60
/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.")
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omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=TRANSFORMS_Cont_X_trans --transforms=Cont_X_trans --mem_gb=4 --time=60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0y --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 --result_names RESULT1=min RESULT2=min --generate_all_jobs_at_once --follow --show_generate_time_table --disable_notifications
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/TRANSFORMS_Cont_X_trans/0See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=TRANSFORMS_Cont_X_trans&run_nr=78 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 │
└───────────────┴────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
config_objectives not found
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 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 1 │ 10 │ -100 │ 10 │ 16 │1.16019142356618│2.54864717609914│
└─────────────┴───────────┴─────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃Iteration┃Seconds┃Jobs┃Time per job┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.041 │ 1 │ 0.041 │
│ 2 │ 0.817 │ 1 │ 0.817 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.429 │ │ │
│ Median │ 0.429 │ │ │
│ Total │ 0.858 │ │ │
│ Max │ 0.817 │ │ │
│ Min │ 0.041 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch┃Seconds┃Jobs┃Time per job┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.194 │ 1 │ 0.194 │
│ 2 │ 0.085 │ 1 │ 0.085 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.140 │ │ │
│ Median │ 0.140 │ │ │
│ Total │ 0.279 │ │ │
│ Max │ 0.194 │ │ │
│ Min │ 0.085 │ │ │
└─────────┴─────────┴──────┴──────────────┘
╭────────────────────────────────────────────────────────────────────────────────────────OmniOpt2 Run Summary────────────────────────────────────────────────────────────────────────────────────────╮│││ ✅ Optimization complete!││││ 📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted ││ ⏱️ Duration: 36s ││ 🏆 Best RESULT1: 1.16019142356618 ││ 🏆 Best RESULT2: 2.54864717609914 ││ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/TRANSFORMS_Cont_X_trans/0/results.csv││ 🤖 Model: BOTORCH_MODULAR │││╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-07-20 07:53:33 (048ef7a7-f158-4748-bf16-851b6d7929ad): SOBOL, Started OmniOpt2 run...
2026-07-20 07:53:33 (048ef7a7-f158-4748-bf16-851b6d7929ad): SOBOL, getting new HP set (no sbatch)
2026-07-20 07:53:33 (048ef7a7-f158-4748-bf16-851b6d7929ad): SOBOL, requested 1 jobs, got 1, 0.04 s/job
2026-07-20 07:53:33 (048ef7a7-f158-4748-bf16-851b6d7929ad): SOBOL, eval #1/1 start
2026-07-20 07:53:33 (048ef7a7-f158-4748-bf16-851b6d7929ad): SOBOL, starting new job
2026-07-20 07:53:33 (048ef7a7-f158-4748-bf16-851b6d7929ad): SOBOL, started new job
2026-07-20 07:53:41 (048ef7a7-f158-4748-bf16-851b6d7929ad): SOBOL, new result: RESULT1: 1.316905, RESULT2: 2.814658
2026-07-20 07:53:42 (048ef7a7-f158-4748-bf16-851b6d7929ad): SOBOL, 1 done, finishing jobs, finished 1 job
2026-07-20 07:53:43 (048ef7a7-f158-4748-bf16-851b6d7929ad): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2026-07-20 07:53:43 (048ef7a7-f158-4748-bf16-851b6d7929ad): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.82 s/job
2026-07-20 07:53:43 (048ef7a7-f158-4748-bf16-851b6d7929ad): BOTORCH_MODULAR, 1 done, eval #1/1 start
2026-07-20 07:53:43 (048ef7a7-f158-4748-bf16-851b6d7929ad): BOTORCH_MODULAR, 1 done, starting new job
2026-07-20 07:53:43 (048ef7a7-f158-4748-bf16-851b6d7929ad): BOTORCH_MODULAR, 1 done, started new job
2026-07-20 07:53:51 (048ef7a7-f158-4748-bf16-851b6d7929ad): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.160191, RESULT2: 2.548647
2026-07-20 07:53:55 (048ef7a7-f158-4748-bf16-851b6d7929ad): BOTORCH_MODULAR, 2 done, ▁█, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.194 │ 1 │ 0.194 │
│ 2 │ 0.085 │ 1 │ 0.085 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.140 │ │ │
│ Median │ 0.140 │ │ │
│ Total │ 0.279 │ │ │
│ Max │ 0.194 │ │ │
│ Min │ 0.085 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.041 │ 1 │ 0.041 │
│ 2 │ 0.817 │ 1 │ 0.817 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.429 │ │ │
│ Median │ 0.429 │ │ │
│ Total │ 0.858 │ │ │
│ Max │ 0.817 │ │ │
│ Min │ 0.041 │ │ │
└───────────┴─────────┴──────┴──────────────┘
! 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.