OmniOpt2

Experiment overview

Setting	Value
Model for non-random steps	BOTORCH_MODULAR
Max. nr. evaluations	2
Number random steps	1
Nr. of workers (parameter)	1
Main process memory (GB)	8
Worker memory (GB)	4

Best RESULT1, min (total: 2)

OO_Info_int_param	OO_Info_int_param…	OO_Info_float_par…	OO_Info_choice_pa…	OO_Info_SLURM_JOB…	RESULT2	int_param	float_param	int_param_two	choice_param	RESULT1
-47	10	-100.0	4	1168458	2.32963974969195	-47	-100.0	10	4	1.27901145054875

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	1	1
BOTORCH_MODULAR	1	1

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

Number of evaluations

Failed	Succeeded	Running	Total
0	2	0	2

Result names and types

name	min/max
RESULT1	min
RESULT2	min

Last progressbar status

2025-10-24 21:48:38 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, 2 done, waiting for 1 job, finished 1 job

Git-Version

Commit: 628555560e665603d20624eb3c8dc87fa6c723cd (8868)

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,OO_Info_SLURM_JOB_ID,arm_name,trial_status,generation_node,RESULT1,RESULT2,int_param,float_param,int_param_two,choice_param
0,1761335250,29,5e16e6e1-d651-4f43-9854-1f3505578402,1761335280,1761335286,6,./.tests/optimization_example  --int_param='-62' --float_param='-17.45750069618225097656' --choice_param='hallo' --int_param_two='-82' --nr_results=2,0,,c134,-62,-82,-17.4575006961822509765625,hallo,1168457,0_0,COMPLETED,SOBOL,1.37428647609999998735474946443,2.067999291100000025522831492708,-62,-17.4575006961822509765625,-82,hallo
1,1761335289,17,5e16e6e1-d651-4f43-9854-1f3505578402,1761335307,1761335313,6,./.tests/optimization_example  --int_param='-47' --float_param='-100' --choice_param='4' --int_param_two='10' --nr_results=2,0,,c140,-47,10,-100,4,1168458,1_0,COMPLETED,BOTORCH_MODULAR,1.27901145054874998407967723324,2.329639749691950090237924086978,-47,-100,10,4


========================================================================

To cancel, press CTRL c, then run 'scancel 1168451'
⠋ Importing logging...
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⠋ Importing rich.prompt...
⠋ Importing types.FunctionType...
⠋ Importing typing...
⠋ Importing ThreadPoolExecutor...
⠋ Importing submitit.LocalExecutor...
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⠋ Importing importlib.util...
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⠋ Importing pathlib.Path...
⠋ Importing uuid...
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⠋ Importing statistics...
⠋ Trying to import pyfiglet...
⠴ Importing helpers...
⠋ Parsing arguments...
⠦ Importing torch...
⠋ Importing numpy...
[WARNING 10-24 21:47:17] 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...
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⠋ Importing get_pending_observation_features...
⠋ Importing load_experiment...
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⠋ Importing submitit...
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Run-UUID: be28e364-0bf4-4a5f-8ce2-e303891444be
 _____                           _____           __       ___     
/\  __`\                      __/\  __`\        /\ \__  /'___`\   
\ \ \/\ \    ___ ___     ___ /\_\ \ \/\ \  _____\ \ ,_\/\_\ /\ \  
 \ \ \ \ \ /' __` __`\ /' _ `\/\ \ \ \ \ \/\ '__`\ \ \/\/_/// /__ 
  \ \ \_\ \/\ \/\ \/\ \/\ \/\ \ \ \ \ \_\ \ \ \L\ \ \ \_  // /_\ \
   \ \_____\ \_\ \_\ \_\ \_\ \_\ \_\ \_____\ \ ,__/\ \__\/\______/
    \/_____/\/_/\/_/\/_/\/_/\/_/\/_/\/_____/\ \ \/  \/__/\/_____/ 
                                             \ \_\                
                                              \/_/                

⠋ Writing worker creation log...
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=1 --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
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /data/horse/ws/s3811141-oo_crap/omniopt/runs/TRANSFORMS_Cont_X_trans/0...
⠋ 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: /data/horse/ws/s3811141-oo_crap/omniopt/runs/TRANSFORMS_Cont_X_trans/0
⠋ 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...
⠋ Setting global generation strategy
⠋ Initializing ax_client...
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=s3811141&experiment_name=TRANSFORMS_Cont_X_trans&run_nr=0 for live-results.

You have 1 CPUs available for the main process. Using CUDA device NVIDIA H100.
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         │
└───────────────┴────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
        Result-Names         
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT1     │         min │
│ RESULT2     │         min │
└─────────────┴─────────────┘
⠙ Write files and show overview
SOBOL, 2 done, waiting for 1 job, finished 1 job                                 : 100%|██████████| 2/2 [01:12<00:00, 36.16s/it]


                                          Pareto-Front for RESULT1/RESULT2:                                          
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃    float_param     ┃ int_param_two ┃ choice_param ┃     RESULT1      ┃     RESULT2      ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│      0      │    -62    │ -17.45750069618225 │      -82      │    hallo     │   1.3742864761   │   2.0679992911   │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│      1      │    -47    │        -100        │      10       │      4       │ 1.27901145054875 │ 2.32963974969195 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
                                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 │   0.470 │    1 │        0.470 │
│         2 │   0.583 │    1 │        0.583 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.526 │      │              │
│    Median │   0.526 │      │              │
│     Total │   1.052 │      │              │
│       Max │   0.583 │      │              │
│       Min │   0.470 │      │              │
└───────────┴─────────┴──────┴──────────────┘
         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   1.123 │    1 │        1.123 │
│       2 │   0.235 │    1 │        0.235 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.679 │      │              │
│  Median │   0.679 │      │              │
│   Total │   1.357 │      │              │
│     Max │   1.123 │      │              │
│     Min │   0.235 │      │              │
└─────────┴─────────┴──────┴──────────────┘

2025-10-24 21:47:26 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, Started OmniOpt2 run...
2025-10-24 21:47:28 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, getting new HP set     
2025-10-24 21:47:28 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, requested 1 jobs, got 1, 0.47 s/job
2025-10-24 21:47:29 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, eval #1/1 start                    
2025-10-24 21:47:30 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, starting new job                   
2025-10-24 21:47:30 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, unknown 1 = ∑1/1, started new job  
2025-10-24 21:47:31 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, unknown 1 = ∑1/1, waiting for 1 job
2025-10-24 21:47:35 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, pending 1 = ∑1/1, waiting for 1 job
2025-10-24 21:47:53 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, running 1 = ∑1/1, waiting for 1 job
2025-10-24 21:48:06 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, running 1 = ∑1/1, new result: RESULT1: 1.374286, RESULT2: 2.067999
2025-10-24 21:48:09 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, 1 done, waiting for 1 job, finished 1 job                         
2025-10-24 21:48:09 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, 1 done, getting new HP set                                        
2025-10-24 21:48:09 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, 1 done, requested 1 jobs, got 1, 0.58 s/job                       
2025-10-24 21:48:09 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, 1 done, eval #1/1 start                                           
2025-10-24 21:48:09 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, 1 done, starting new job                                          
2025-10-24 21:48:10 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, 1 done, unknown 1 = ∑1/1, started new job                         
2025-10-24 21:48:11 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, 1 done, unknown 1 = ∑1/1, waiting for 1 job                       
2025-10-24 21:48:15 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, 1 done, pending 1 = ∑1/1, waiting for 1 job                       
2025-10-24 21:48:31 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, 1 done, running 1 = ∑1/1, waiting for 1 job                       
2025-10-24 21:48:34 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, 1 done, running 1 = ∑1/1, new result: RESULT1: 1.279011, RESULT2: 2.329640
2025-10-24 21:48:38 (5e16e6e1-d651-4f43-9854-1f3505578402): SOBOL, 2 done, waiting for 1 job, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   1.123 │    1 │        1.123 │
│       2 │   0.235 │    1 │        0.235 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.679 │      │              │
│  Median │   0.679 │      │              │
│   Total │   1.357 │      │              │
│     Max │   1.123 │      │              │
│     Min │   0.235 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.470 │    1 │        0.470 │
│         2 │   0.583 │    1 │        0.583 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.526 │      │              │
│    Median │   0.526 │      │              │
│     Total │   1.052 │      │              │
│       Max │   0.583 │      │              │
│       Min │   0.470 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9p…
experiment_name	TRANSFORMS_Cont_X_trans
mem_gb	4
parameter	[['int_param', 'range', '-100', '10', 'int'], ['float_param', 'range', '-100', '10', 'float'], ['choice_param', 'choice', '1,2,4,8,16,hallo'],
	['int_param_two', 'range', '-100', '10', 'int']]
continue_previous_job	None
experiment_constraints	None
run_dir	runs
seed	None
verbose_tqdm	False
model	BOTORCH_MODULAR
gridsearch	False
occ	False
show_sixel_scatter	False
show_sixel_general	False
show_sixel_trial_index_result	False
follow	True
send_anonymized_usage_stats	True
ui_url	None
root_venv_dir	/home/s3811141
exclude	None
main_process_gb	8
max_nr_of_zero_results	10
abbreviate_job_names	False
orchestrator_file	None
checkout_to_latest_tested_version	False
live_share	True
disable_tqdm	False
disable_previous_job_constraint	False
workdir
occ_type	euclid
result_names	['RESULT1=min', 'RESULT2=min']
minkowski_p	2
signed_weighted_euclidean_weights
generation_strategy	None
generate_all_jobs_at_once	True
revert_to_random_when_seemingly_exhausted	False
load_data_from_existing_jobs	[]
n_estimators_randomforest	100
max_attempts_for_generation	20
external_generator	None
username	None
max_failed_jobs	None
num_cpus_main_job	None
calculate_pareto_front_of_job	[]
show_generate_time_table	True
force_choice_for_ranges	False
max_abandoned_retrial	20
share_password	None
dryrun	False
db_url	None
run_program_once	None
worker_generator_path	None
save_to_database	False
range_max_difference	1000000
skip_search	False
dont_warm_start_refitting	False
refit_on_cv	False
fit_out_of_design	False
fit_abandoned	False
dont_jit_compile	False
num_restarts	20
raw_samples	1024
max_num_of_parallel_sruns	16
no_transform_inputs	False
no_normalize_y	False
transforms	['Cont_X_trans']
number_of_generators	1
num_parallel_jobs	1
worker_timeout	5
slurm_use_srun	False
time	60
partition	alpha
reservation	None
force_local_execution	False
slurm_signal_delay_s	0
nodes_per_job	1
cpus_per_task	1
account	None
gpus	1
dependency	None
run_mode	local
verbose	False
verbose_break_run_search_table	False
debug	False
flame_graph	False
memray	False
no_sleep	False
tests	False
show_worker_percentage_table_at_end	False
auto_exclude_defective_hosts	True
run_tests_that_fail_on_taurus	False
raise_in_eval	False
show_ram_every_n_seconds	0
show_generation_and_submission_sixel	False
just_return_defaults	False
prettyprint	False
runtime_debug	False
debug_stack_regex
debug_stack_trace_regex	None
show_func_name	False
beartype	False

1761335240.277,1,0,0
1761335249.9747,1,0,0
1761335250.2588,1,1,100
1761335318.6087,1,1,100
1761335323.7265,1,0,0
1761335326.0914,1,0,0

This logs the CPU and RAM usage of the main worker process.

timestamp,ram_usage_mb,cpu_usage_percent
1761335240,807.1640625,22.1
1761335300,847.51171875,14

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	6	6	0	2
OO_Info_int_param	-62	-47	-54.5	7.5	2
OO_Info_int_param_two	-82	10	-36	46	2
OO_Info_float_param	-100	-17.4575	-58.7288	41.2712	2
OO_Info_choice_param	No numerical statistics available
RESULT1	1.279	1.3743	1.3266	0.0476	2
RESULT2	2.068	2.3296	2.1988	0.1308	2
int_param	-62	-47	-54.5	7.5	2
float_param	-100	-17.4575	-58.7288	41.2712	2
int_param_two	-82	10	-36	46	2
choice_param	No numerical statistics available

submitit INFO (2025-10-24 21:47:54,459) - Starting with JobEnvironment(job_id=1168457, hostname=c134, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-10-24 21:47:54,461) - Loading pickle: /data/horse/ws/s3811141-oo_crap/omniopt/runs/TRANSFORMS_Cont_X_trans/0/single_runs/1168457/1168457_submitted.pkl
Trial-Index: 0

Parameters: {"int_param": -62, "float_param": -17.45750069618225, "int_param_two": -82, "choice_param": "hallo"}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example  --int_param='-62' --float_param='-17.45750069618225097656' --choice_param='hallo' --int_param_two='-82' --nr_results=2
pwd: /data/horse/ws/s3811141-oo_crap/omniopt
File: ./.tests/optimization_example
UID: 2105408
GID: 200270
SLURM_JOB_ID: 1168457
Status-Change-Time: 1755346813.0
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: s3811141
Last access: 1761335280.0
Last modification: 1755343211.0
Hostname: c134
========
DEBUG INFOS END

./.tests/optimization_example  --int_param='-62' --float_param='-17.45750069618225097656' --choice_param='hallo' --int_param_two='-82' --nr_results=2
stdout:
 OO-Info: int_param: -62
OO-Info: int_param_two: -82
OO-Info: float_param: -17.45750069618225097656
OO-Info: choice_param: hallo
RESULT1: 1.3742864761307
RESULT2: 2.06799929109135

stderr was empty
Result: {'RESULT1': 1.3742864761307, 'RESULT2': 2.06799929109135}
Final-results: {'RESULT1': 1.3742864761307, 'RESULT2': 2.06799929109135}
EXIT_CODE: 0
submitit INFO (2025-10-24 21:48:06,424) - Job completed successfully
submitit INFO (2025-10-24 21:48:06,441) - Exiting after successful completion