========================================================================
Current git-hash: db98fbbf0fb10ceef524d3888a6bea3cc53370fc (last fully tested stable version 18 commits ago [85dcd2ee973697fb4743b0557a22a55fcbad7e2b, 8956])
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...⠋Trying to import pyfiglet...⠋Importing helpers...⠋Importing pareto...⠋Parsing arguments...⠸Importing torch...⠋Importing numpy...
[WARNING 10-31 20:54:02] 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]`.
⠦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 MaxTrials...⠋Importing GeneratorSpec...⠋Importing Models from ax.generation_strategy.registry...⠋Importing get_pending_observation_features...⠋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...Using old run's --time: 60Using old run's --gpus: 0
Run-UUID: d2f707ed-e1e1-4c23-878f-f4a00b701a2b
____ _ ____ __ ___
/ __ \____ ___ ____ (_) __ \____ / /|__ \
/ / / / __ `__ \/ __ \/ / / / / __ \/ __/_/ /
/ /_/ / / / / / / / / / / /_/ / /_/ / /_/ __/
\____/_/ /_/ /_/_/ /_/_/\____/ .___/\__/____/
/_/
⠋Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --parameter float_param range -1000 1000 float --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
⠋Disabling logging...⠋Setting run folder...⠋Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2...⠋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/2
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
⠋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...Changed parameter 'float_param': lower from -100.0 to -1000.0, upper from 10.0 to 1000.0, digits from None to 32⠋Setting orchestrator...Warning: The disk space is almost full. This may lead to error messages and you not being able to push jobs. If you want to see results anyway, check https://imageseg.scads.de/omniax/tutorials?tutorial=oo_share#run-locally-in-docker on how to install it locally (with docker). If you run on HPC, you may want to install this into a Research Cloud at the TU Dresden.
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=794 for live-results.You have 4 CPUs available for the main process.No CUDA devices found.Generation strategy: BOTORCH_MODULAR for 9 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=1
Experiment parameters
┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃Name ┃Type ┃Lower bound┃Upper bound┃Values ┃Type ┃Log Scale?┃
┡━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│int_param │rangeparameter │-100 │10 ││int │No │
│float_param │rangeparameter │-1000 │1000 ││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?┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│RESULT │ min│
└─────────────┴─────────────┘
⠋Write files and show overview
BOTORCH_MODULAR, new result: RESULT: -8711805.134713: 83%|████████░░| 5/6 [00:11<00:02, 2.23s/it]
2025-10-31 20:54:29 (7d7d84d3-6744-47f9-a507-ebbb6ce73db5): BOTORCH_MODULAR, Started OmniOpt2 run...
2025-10-31 20:54:30 (7d7d84d3-6744-47f9-a507-ebbb6ce73db5): BOTORCH_MODULAR, getting new HP set (no sbatch)
2025-10-31 20:54:30 (7d7d84d3-6744-47f9-a507-ebbb6ce73db5): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.90 s/job
2025-10-31 20:54:30 (7d7d84d3-6744-47f9-a507-ebbb6ce73db5): BOTORCH_MODULAR, eval #1/1 start
2025-10-31 20:54:30 (7d7d84d3-6744-47f9-a507-ebbb6ce73db5): BOTORCH_MODULAR, starting new job
2025-10-31 20:54:31 (7d7d84d3-6744-47f9-a507-ebbb6ce73db5): BOTORCH_MODULAR, started new job
2025-10-31 20:54:40 (7d7d84d3-6744-47f9-a507-ebbb6ce73db5): BOTORCH_MODULAR, new result: RESULT: -8711805.134713