OmniOpt2

Experiment overview

Setting	Value
Max. nr. evaluations	6
Max. nr. evaluations (from arguments)	2
Number random steps	1
Nr. of workers (parameter)	1
Nr. imported jobs	4

Best RESULT, min (total: 2 + inserted jobs: 4)

OO_Info_int_param	OO_Info_int_param_two	OO_Info_float_param	OO_Info_choice_param	int_param	float_param	int_param_two	choice_param	RESULT
4.0	-100.0	-1000.0	8.0	4	-1000.0	-100	8	-10209782.92

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	1	1
BOTORCH_MODULAR	5	5

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

Number of evaluations

Failed	Succeeded	Running	Total
0	6	0	6

Result names and types

name	min/max
RESULT	min

Last progressbar status

2026-07-17 09:27:13 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, best RESULT: -10209782.92, ▁▁▁▁▇█, finishing jobs, finished 1 job

Git-Version

Commit: 40e86984857e047bcfb600b452b0692331ba16d4 (9392-4-g40e869848)

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,RESULT,int_param,float_param,int_param_two,choice_param
0,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,-102466.585430378996534273028373718262,4,-96.052098162472248077392578125,4,2
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-129395.469280118995811790227890014648,-87,4.87781975637039710846920570475,-62,8
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-255503.567749859008472412824630737305,-100,-54.600878978299654420425213174894,-100,8
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-290524.272685423027724027633666992188,-100,-78.990090299643554772046627476811,-100,8
4,1784280409,2,8ce3ce63-7829-4939-b9cc-2e79ad94fb66,1784280411,1784280417,6,./.tests/optimization_example  --int_param='-100' --float_param='-951.69240294066946717066' --choice_param='8' --int_param_two='-100' --nr_results=1,0,,0b81dea42493,-100,-100,-951.692402940669467170664574950933,8,4_0,COMPLETED,BOTORCH_MODULAR,-9372584.45844391919672489166259765625,-100,-951.692402940669467170664574950933,-100,8
5,1784280422,1,8ce3ce63-7829-4939-b9cc-2e79ad94fb66,1784280423,1784280429,6,./.tests/optimization_example  --int_param='4' --float_param='-1000' --choice_param='8' --int_param_two='-100' --nr_results=1,0,,0b81dea42493,4,-100,-1000,8,5_0,COMPLETED,BOTORCH_MODULAR,-10209782.91999999992549419403076171875,4,-1000,-100,8


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

Current git-hash: 40e86984857e047bcfb600b452b0692331ba16d4 (last fully tested stable version 4 commits ago [fa24dfbf750366b8c83f9ef04857a770020b8dad, 9392])
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...
⠋ Importing notifier...
⠋ Trying to import pyfiglet...
⠙ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠸ Importing torch...
⠋ Importing numpy...
[INFO 07-17 09:26:45] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
⠧ 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 GenerationStrategy from generation_strategy...
⠋ Importing GenerationNode from generation_node...
⠋ Importing ExternalGenerationNode...
⠋ Importing MinTrials...
⠋ Importing GeneratorSpec...
⠋ Importing Generators from ax.generation_strategy.registry...
⠋ 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: 60
Using old run's --gpus: 0
Run-UUID: 34b81c81-e007-4945-bf66-ba78c472144d
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/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)
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
  warnings.warn("notify-send not found.")
  ______________________________________
| OmniOpt2 - Hyperparameters? Nailed it! |
  ======================================
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                                              .--.
                                             |o_o |
                                             |:_/ |
                                            //   \ \
                                           (|     | )
                                          /'\_   _/`\
                                          \___)=(___/
⠋ 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...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=152 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, best RESULT: -10209782.92, ▁▁▁▁▇█, finishing jobs, finished 1 job          : 100%|██████████| 6/6 [00:24<00:00,  4.08s/it]
Best RESULT, min (total: 2 + inserted jobs: 4)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓
┃ OO_Info_int_param ┃ OO_Info_int_param_two ┃ OO_Info_float_param ┃ OO_Info_choice_param ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT       ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ 4.0               │ -100.0                │ -1000.0             │ 8.0                  │ 4         │ -1000.0     │ -100          │ 8            │ -10209782.92 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴─────────────┴───────────────┴──────────────┴──────────────┘
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 / 6 done / 6 submitted                                                                                                                                          │
│    ⏱️  Duration: 35s                                                                                                                                                                                 │
│    🏆 Best RESULT: -10209782.92                                                                                                                                                                      │
│    📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/results.csv                                                                                                     │
│    🤖 Model: BOTORCH_MODULAR                                                                                                                                                                         │
│                                                                                                                                                                                                      │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

2026-07-17 09:26:49 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-17 09:26:49 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-17 09:26:49 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.71 s/job
2026-07-17 09:26:49 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, eval #1/1 start                    
2026-07-17 09:26:49 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, starting new job                   
2026-07-17 09:26:50 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, started new job                    
2026-07-17 09:26:59 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, new result: RESULT: -9372584.458444
2026-07-17 09:27:01 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, best RESULT: -9372584.45844392, ▁▁▁▁█, finishing jobs, finished 1 job
2026-07-17 09:27:02 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, best RESULT: -9372584.45844392, ▁▁▁▁█, getting new HP set (no sbatch)
2026-07-17 09:27:02 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, best RESULT: -9372584.45844392, ▁▁▁▁█, requested 1 jobs, got 1, 0.78 s/job
2026-07-17 09:27:02 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, best RESULT: -9372584.45844392, ▁▁▁▁█, eval #1/1 start                    
2026-07-17 09:27:02 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, best RESULT: -9372584.45844392, ▁▁▁▁█, starting new job                   
2026-07-17 09:27:02 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, best RESULT: -9372584.45844392, ▁▁▁▁█, started new job                    
2026-07-17 09:27:11 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, best RESULT: -9372584.45844392, ▁▁▁▁█, new result: RESULT: -10209782.920000
2026-07-17 09:27:13 (8ce3ce63-7829-4939-b9cc-2e79ad94fb66): BOTORCH_MODULAR, best RESULT: -10209782.92, ▁▁▁▁▇█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.190 │    1 │        0.190 │
│       2 │   0.078 │    1 │        0.078 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.134 │      │              │
│  Median │   0.134 │      │              │
│   Total │   0.268 │      │              │
│     Max │   0.190 │      │              │
│     Min │   0.078 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.708 │    1 │        0.708 │
│         2 │   0.782 │    1 │        0.782 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.745 │      │              │
│    Median │   0.745 │      │              │
│     Total │   1.490 │      │              │
│       Max │   0.782 │      │              │
│       Min │   0.708 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	None
experiment_name	None
mem_gb	4
parameter	[['float_param', 'range', '-1000', '1000', 'float']]
continue_previous_job	runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
experiment_constraints	None
run_dir	runs
seed	None
verbose_tqdm	False
model	None
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	/root
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	['RESULT=min']
minkowski_p	2
signed_weighted_euclidean_weights
generation_strategy	None
generate_all_jobs_at_once	True
revert_to_random_when_seemingly_exhausted	True
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	False
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
nr_evals_per_arm	1
disable_notifications	False
dump_config	None
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	[]
number_of_generators	1
num_parallel_jobs	1
worker_timeout	10
slurm_use_srun	False
time
partition
reservation	None
force_local_execution	False
slurm_signal_delay_s	0
nodes_per_job	1
cpus_per_task	1
account	None
gpus	0
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	False
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

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

timestamp,ram_usage_mb,cpu_usage_percent
1784280406,788.875,28.3

`RESULT` (goal: minimize)

Best value: -10209782.92
Achieved at:
- float_param = -1000 (r=0.997, strong positive correlation)
- int_param_two = -100 (r=0.445, moderate positive correlation)
- choice_param = 8 (r=-0.325, weak negative correlation)
- int_param = 4 (r=-0.25, weak 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.

Convergence Analysis

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	6	6	0	2
OO_Info_int_param	-100	4	-48	52	2
OO_Info_int_param_two	-100	-100	-100	0	2
OO_Info_float_param	-1000	-951.6924	-975.8462	24.1538	2
OO_Info_choice_param	8	8	8	0	2
RESULT	-10209782.92	-102466.5854	-3393376.2123	4530855.7509	6
int_param	-100	4	-63.1667	47.7159	6
float_param	-1000	4.8778	-362.7429	434.8744	6
int_param_two	-100	4	-76.3333	38.5126	6
choice_param	2	8	7	2.2361	6

submitit INFO (2026-07-17 09:26:50,361) - Starting with JobEnvironment(job_id=4481, hostname=0b81dea42493, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-07-17 09:26:50,361) - Loading pickle: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/single_runs/4481/4481_submitted.pkl
Trial-Index: 4

Parameters: {"int_param": -100, "float_param": -951.6924029406695, "int_param_two": -100, "choice_param": 8}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example  --int_param='-100' --float_param='-951.69240294066946717066' --choice_param='8' --int_param_two='-100' --nr_results=1
pwd: /var/opt/omniopt
File: ./.tests/optimization_example
UID: 0
GID: 0
Status-Change-Time: 1784280268.566843
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: root
Last access: 1784279967.3548913
Last modification: 1784279967.3548913
Hostname: 0b81dea42493
========
DEBUG INFOS END

./.tests/optimization_example  --int_param='-100' --float_param='-951.69240294066946717066' --choice_param='8' --int_param_two='-100' --nr_results=1
stdout:
 OO-Info: int_param: -100
OO-Info: int_param_two: -100
OO-Info: float_param: -951.69240294066946717066
OO-Info: choice_param: 8
RESULT: -9372584.45844392

stderr was empty
Result: {'RESULT': -9372584.45844392}
Final-results: {'RESULT': -9372584.45844392}
EXIT_CODE: 0
submitit INFO (2026-07-17 09:26:57,846) - Job completed successfully
submitit INFO (2026-07-17 09:26:57,847) - Exiting after successful completion