trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_int_param,OO_Info_int_param_two,OO_Info_float_param,OO_Info_choice_param,arm_name,trial_status,generation_node,RESULT1,RESULT2,int_param,float_param,int_param_two,choice_param
0,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,1.853679127599999976183653416228,2.362483954800000063301013142336,-97,-42.3604667186737060546875,-99,hallo
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.147696996400000113425221570651,2.413565548699999840920327187632,1,-95.025040805339813232421875,-34,8
2,1778375725,2,ff26c32a-c57e-4370-9b60-58ce53f9b221,1778375727,1778375733,6,./.tests/optimization_example --int_param='-88' --float_param='-44.85446861850719102449' --choice_param='2' --int_param_two='10' --nr_results=2,0,,runnervmrc6n4,-88,10,-44.854468618507191024491476127878,2,2_0,COMPLETED,BOTORCH_MODULAR,1.023974786599999964309404276719,2.202276979000000078912080425653,-88,-44.854468618507191024491476127878,10,2
3,1778375737,1,ff26c32a-c57e-4370-9b60-58ce53f9b221,1778375738,1778375744,6,./.tests/optimization_example --int_param='-62' --float_param='10' --choice_param='2' --int_param_two='10' --nr_results=2,0,,runnervmrc6n4,-62,10,10,2,3_0,COMPLETED,BOTORCH_MODULAR,1.78680680187336005104725700221,2.478762103102300162760229795822,-62,10,10,2
========================================================================
Current git-hash: 01b08d618b49d942e55420979b7925f87f54957e (last fully tested stable version 14 commits ago [5268678be516a64d8bfe1ff0d3bbd05a6f0bcdd2, 9305])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-10 01:15:22] 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]`.
Using old run's --time: 60
Using old run's --gpus: 0
Using old run's --max_eval: 2
Run-UUID: f5aa4eb1-e689-46bf-814e-50427426ae6d
/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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omniopt --continue runs/multi_results_2_results_BOTORCH_MODULAR/0 --live_share
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1
Continuation from runs/multi_results_2_results_BOTORCH_MODULAR/0
You have less --max_eval 2 than --num_random_steps 20. Switched both.
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=multi_results_2_results_BOTORCH_MODULAR&run_nr=134 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 4 steps.
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 │ rangeparameter │ -100 │ 10 │ │ int │ No │
│ float_param │ rangeparameter │ -100 │ 10 │ │ float │ No │
│ choice_param │ choiceparameter │ │ │ 1, 2, 4, 8, 16, hallo │ │ │
│ int_param_two │ rangeparameter │ -100 │ 10 │ │ int │ No │
└───────────────┴─────────────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT1 │ min │
│ RESULT2 │ min │
└─────────────┴─────────────┘
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 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ 2 │ -88 │ -44.85446861850719 │ 10 │ 2 │ 1.0239747866 │ 2.202276979 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────┴─────────────┘
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 │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
╭──────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────────────────────────────────╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 4 done / 4 submitted │
│ ⏱️ Duration: 32s │
│ 🏆 Best RESULT1: 1.0239747866 │
│ 🏆 Best RESULT2: 2.202276979 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1/results.csv │
│ 🧠 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-05-10 01:15:24 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-05-10 01:15:25 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-05-10 01:15:25 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.55 s/job
2026-05-10 01:15:25 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, eval #1/1 start
2026-05-10 01:15:25 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, starting new job
2026-05-10 01:15:25 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, started new job
2026-05-10 01:15:33 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, new result: RESULT1: 1.023975, RESULT2: 2.202277
2026-05-10 01:15:36 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, 3 done, ▁▆█, finishing jobs, finished 1 job
2026-05-10 01:15:36 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, 3 done, ▁▆█, getting new HP set (no sbatch)
2026-05-10 01:15:37 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, 3 done, ▁▆█, requested 1 jobs, got 1, 0.74 s/job
2026-05-10 01:15:37 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, 3 done, ▁▆█, eval #1/1 start
2026-05-10 01:15:37 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, 3 done, ▁▆█, starting new job
2026-05-10 01:15:37 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, 3 done, ▁▆█, started new job
2026-05-10 01:15:45 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, 3 done, ▁▆█, new result: RESULT1: 1.786807, RESULT2: 2.478762
2026-05-10 01:15:47 (ff26c32a-c57e-4370-9b60-58ce53f9b221): BOTORCH_MODULAR, 4 done, ▁▆█▁, finishing jobs, finished 1 job
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1778375722,745.07421875,28.8