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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,RESULT2,RESULT1,int_param,float_param,int_param_two,choice_param
0,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,2.489537684800000150175947055686,1.374010986000000045237356971484,-42,-75.4464878141880035400390625,-17,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,UNIFORM,2.761725213900000142075441544876,1.568906601799999966928567118885,-33,-90.142114079844589014101075008512,-12,2
2,1786252396,2,bad28748-7684-4be4-a3de-0d94646f7adf,1786252398,1786252404,6,./.tests/optimization_example --int_param='-43' --float_param='1.01587480828115417353' --choice_param='hallo' --int_param_two='-36' --nr_results=2,0,,runnervmvrwv9,-43,-36,1.015874808281153951483588571136,hallo,2_0,COMPLETED,UNIFORM,2.289103525999999888540514803026,1.657148560600000042342117012595,-43,1.015874808281154173528193496168,-36,hallo
3,1786252408,2,bad28748-7684-4be4-a3de-0d94646f7adf,1786252410,1786252416,6,./.tests/optimization_example --int_param='-68' --float_param='-51.53261384779500531295' --choice_param='2' --int_param_two='-19' --nr_results=2,0,,runnervmvrwv9,-68,-19,-51.532613847795005312946159392595,2,3_0,COMPLETED,UNIFORM,2.363717929783410109934038700885,1.975695502086640020777963400178,-68,-51.532613847795005312946159392595,-19,2
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========================================================================
Current git-hash: 994947df0c9dd58e83a3d3605f909757dcb65b59 (last fully tested stable version 2 commits ago [b54799bbb6092ee7a47e6c8cafaff1661ff693b6, 9418])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[INFO 08-09 05:13:13] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
Using old run's --time: 60
Using old run's --gpus: 0
Using old run's --max_eval: 2
Run-UUID: bc76a174-a1b2-47b8-adcb-f1a76d82f6d1
/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.")
____ _ _ _ ____ ____ _____ ____
/ _ \/ \__/|/ \ /|/ \/ _ \/ __Y__ __Y_ \
| / \|| |\/||| |\ ||| || / \|| \/| / \ / /
| \_/|| | ||| | \||| || \_/|| __/ | | / /_
\____/\_/ \|\_/ \|\_/\____/\_/ \_/ \____/
omniopt --continue runs/multi_results_2_results_UNIFORM/0 --live_share
Run-folder : /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_UNIFORM/ 1
Continuation from runs/multi_results_2_results_UNIFORM/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_UNIFORM&run_nr=3 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: UNIFORM 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 │
└───────────────┴─────────────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
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 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ 0 │ -42 │ -75.446487814188 │ -17 │ 4 │ 1.374010986 │ 2.4895376848 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────┼──────────────┤
│ 2 │ -43 │ 1.0158748082811542 │ -36 │ hallo │ 1.6571485606 │ 2.289103526 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
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: 40s │
│ 🏆 Best RESULT1: 1.374010986 │
│ 🏆 Best RESULT2: 2.289103526 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_UNIFORM/1/results.csv │
│ 🤖 Model: UNIFORM │
│ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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2026-08-09 05:13:16 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, Started OmniOpt2 run...
2026-08-09 05:13:16 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, getting new HP set (no sbatch)
2026-08-09 05:13:16 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, requested 1 jobs, got 1, 0.05 s/job
2026-08-09 05:13:16 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, eval #1/1 start
2026-08-09 05:13:16 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, starting new job
2026-08-09 05:13:16 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, started new job
2026-08-09 05:13:25 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, new result: RESULT1: 1.657149, RESULT2: 2.289104
2026-08-09 05:13:28 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, 3 done, █▃▁, finishing jobs, finished 1 job
2026-08-09 05:13:28 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, 3 done, █▃▁, getting new HP set (no sbatch)
2026-08-09 05:13:28 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, 3 done, █▃▁, requested 1 jobs, got 1, 0.13 s/job
2026-08-09 05:13:28 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, 3 done, █▃▁, eval #1/1 start
2026-08-09 05:13:28 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, 3 done, █▃▁, starting new job
2026-08-09 05:13:28 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, 3 done, █▃▁, started new job
2026-08-09 05:13:38 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, 3 done, █▃▁, new result: RESULT1: 1.975696, RESULT2: 2.363718
2026-08-09 05:13:41 (bad28748-7684-4be4-a3de-0d94646f7adf): UNIFORM, 4 done, █▅▄▁, finishing jobs, finished 1 job
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This logs the CPU and RAM usage of the main worker process.
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timestamp,ram_usage_mb,cpu_usage_percent
1786252394,885.125,26.7 Copy raw data to clipboard
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RESULT1 (goal: minimize )Best value: 1.374010986
Achieved at:
- int_param = -42 (r=-0.824, strong negative correlation)
- RESULT2 = 2.4895376848 (r=-0.415, moderate negative correlation)
- float_param = -75.446487814188 (r=0.334, weak positive correlation)
- int_param_two = -17 (r=-0.164, weak negative correlation)
RESULT2 (goal: minimize )Best value: 2.289103526
Achieved at:
- float_param = 1.0158748082812 (r=-0.85, strong negative correlation)
- int_param_two = -36 (r=0.801, strong positive correlation)
- int_param = -43 (r=0.607, moderate positive correlation)
- RESULT1 = 1.6571485606 (r=-0.415, moderate negative correlation)
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.
Parameter statistics Parameter Min Max Mean Std Dev Count run_time 6 6 6 0 2 OO_Info_int_param -68 -43 -55.5 12.5 2 OO_Info_int_param_two -36 -19 -27.5 8.5 2 OO_Info_float_param -51.5326 1.0159 -25.2584 26.2742 2 OO_Info_choice_param No numerical statistics available RESULT2 2.2891 2.7617 2.476 0.1798 4 RESULT1 1.374 1.9757 1.6439 0.2172 4 int_param -68 -33 -46.5 13.0096 4 float_param -90.1421 1.0159 -54.0263 34.6375 4 int_param_two -36 -12 -21 9.0277 4 choice_param No numerical statistics available