OmniOpt2

Setting	Value
Model for non-random steps	BOTORCH_MODULAR
Max. nr. evaluations	500
Number random steps	20
Nr. of workers (parameter)	30
Main process memory (GB)	8
Worker memory (GB)	64
Name	Type	Lower bound	Upper bound	Values	Type	Log Scale?
recent_samples_size	range	1	5000		int	No
n_samples	range	1	5000		int	No
confidence	choice			0.0001, 0.001, 0.005, 0.01, 0.025, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6, 0.65, 0.7,
				0.75, 0.8, 0.85
feature_proportion	range	0.001	0.999		float	No
n_clusters	range	1	50		int	No
Failed	Succeeded	Running	Total
25	0	5	30
name	min/max
ACCURACY	max
RUNTIME	min
Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	20
max_eval	500
run_program	[['bW9kdWxlIGxvYWQgR0NDY29yZS8xMC4zLjAgUHl0aG9uICYmIHNvdXJjZSAvZGF0YS9ob3JzZS93cy9zNDEyMjQ4NS1jb21wUGVyZkREL2JlbmNobWFyay92ZW52L2Jpbi9hY3RpdmF0ZSAmJiBw…
experiment_name	CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME
mem_gb	64
parameter	[['recent_samples_size', 'range', '1', '5000', 'int'], ['n_samples', 'range', '1', '5000', 'int'], ['confidence', 'choice',
	'0.85,0.8,0.75,0.7,0.65,0.6,0.55,0.5,0.45,0.4,0.35,0.3,0.25,0.2,0.15,0.1,0.05,0.025,0.01,0.005,0.001,0.0001'], ['feature_proportion', 'range', '0.001',
	'0.999', 'float'], ['n_clusters', 'range', '1', '50', 'int']]
continue_previous_job	None
experiment_constraints	None
run_dir	runs
seed	None
decimalrounding	12
enforce_sequential_optimization	False
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	False
send_anonymized_usage_stats	True
ui_url	None
root_venv_dir	/home/s4122485
exclude	None
main_process_gb	8
pareto_front_confidence	1
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
workdir	False
max_parallelism	max_eval_times_thousand_plus_thousand
occ_type	euclid
result_names	['ACCURACY=max', 'RUNTIME=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	[]
num_parallel_jobs	30
worker_timeout	60
slurm_use_srun	False
time	1440
partition	romeo
reservation	None
force_local_execution	False
slurm_signal_delay_s	0
nodes_per_job	1
cpus_per_task	1
account	None
gpus	0
run_mode	local
verbose	False
verbose_break_run_search_table	False
debug	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	False
Skipped tabs:
Job-Infos
Main-Log
Debug-Logs
Single Logs
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		<title>Exported &raquo;s4122485/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/7&laquo; from OmniOpt2-Share</title>
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				text-align: center;
				border-top: 1px solid #dee2e6;
				width: 100%;
				box-sizing: border-box;
				position: fixed;
				bottom: 0;
				z-index: 2;
				margin-left: -9px;
				z-index: 99;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 50px;
				height: 26px;
			}
			
			.switch input {
				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
			}
			
			.slider:before {
				position: absolute;
				content: "";
				height: 20px;
				width: 20px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #444;
			}
			
			input:checked + .slider:before {
				transform: translateX(24px);
			}
			
			.mode-text {
				position: absolute;
				top: 5px;
				left: 65px;
				font-size: 14px;
				color: black;
				transition: .4s;
				width: 60px;
				display: block;
				font-size: 0.7rem;
				text-align: center;
			}
			
			input:checked + .slider .mode-text {
				content: "Dark Mode";
				color: white;
			}
			
			#mainContent {
				height: fit-content;
				min-height: 100%;
			}
			
			li {
				text-align: left;
			}
			
			#share_path {
				margin-bottom: 20px;
				margin-top: 20px;
			}
			
			#sortForm {
				margin-bottom: 20px;
			}
			
			.share_folder_buttons {
				margin-top: 10px;
				margin-bottom: 10px;
			}
			
			.nav_tab_button {
				margin: 10px;
			}
			
			.header_table {
				margin: 10px;
			}
			
			.no_border {
				border: unset !important;
			}
			
			.gui_table {
				padding: 5px !important;
			}
			
			.gui_parameter_row {
			}
			
			.gui_parameter_row_cell {
				border: unset !important;
			}
			
			.gui_param_table {
				width: 95%;
				margin: unset !important;
			}
			
			table td, table tr,
			.parameterRow table {
				padding: 2px !important;
			}
			
			.parameterRow table {
				margin: 0px;
				border: unset;
			}
			
			.parameterRow > td {
				border: 0px !important;
			}
			
			.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
				border: 0px !important;
			}
			
			.green_text {
				color: green;
			}
			
			.remove_parameter {
				white-space: pre;
			}
			
			select {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				background-color: #fff;
				color: #222;
				padding: 5px 30px 5px 5px;
				border: 1px solid #555;
				border-radius: 5px;
				cursor: pointer;
				outline: none;
				transition: all 0.3s ease;
				background:
					url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
					no-repeat right 10px center,
				linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
				background-size: 12px, auto;
			}
			
			select:hover {
				border-color: #888;
			}
			
			select:focus {
				border-color: #4caf50;
				box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
			}
			
			select::-ms-expand {
				display: none;
			}
			
			input, textarea {
				border-radius: 5px;
			}
			
			#search {
				width: 200px;
				max-width: 70%;
				background-image: url(images/search.svg);
				background-repeat: no-repeat;
				background-size: auto 40px;
				height: 40px;
				line-height: 40px;
				padding-left: 40px;
				box-sizing: border-box;
			}
			
			input[type="checkbox"] {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				width: 25px;
				height: 25px;
				border: 2px solid #3498db;
				border-radius: 5px;
				background-color: #fff;
				position: relative;
				cursor: pointer;
				transition: all 0.3s ease;
				width: 25px !important;
			}
			
			input[type="checkbox"]:checked {
				background-color: #3498db;
				border-color: #2980b9;
			}
			
			input[type="checkbox"]:checked::before {
				content: '✔';
				position: absolute;
				left: 4px;
				top: 2px;
				color: #fff;
			}
			
			input[type="checkbox"]:hover {
				border-color: #2980b9;
				background-color: #3caffc;
			}
			
			.toc {
				margin-bottom: 20px;
			}
			
			.toc li {
				margin-bottom: 5px;
			}
			
			.toc a {
				text-decoration: none;
				color: #007bff;
			}
			
			.toc a:hover {
				text-decoration: underline;
			}
			
			.table-container {
				width: 100%;
				overflow-x: auto;
			}
			
			.section-header {
				background-color: #1d6f9a !important;
				color: white;
			}
			
			.warning {
				color: red;
			}
			
			.li_list a {
				text-decoration: none;
				color: #007bff;
			}
			
			.gridjs-td {
				white-space: nowrap;
			}
			
			th, td {
				border: 1px solid gray !important;
			}
			
			.no_border {
				border: 0px !important;
			}
			
			.no_break {
			
			}
			
			img {
				user-select: none;
				pointer-events: none;
			}
			
			#config_table, #hidden_config_table {
				user-select: none;
			}
			
			.copy_clipboard_button {
				margin-bottom: 10px;
			}
			
			.badge_table {
				background-color: unset !important;
			}
			
			.make_markable {
				user-select: text;
			}
			
			.header-container {
				display: flex;
				flex-wrap: wrap;
				align-items: center;
				justify-content: space-between;
				gap: 1rem;
				padding: 10px;
				background: var(--header-bg, #fff);
				border-bottom: 1px solid #ccc;
			}
			
			.header-logo-group {
				display: flex;
				gap: 1rem;
				align-items: center;
				flex: 1 1 auto;
				min-width: 200px;
			}
			
			.logo-img {
				max-height: 45px;
				height: auto;
				width: auto;
				object-fit: contain;
				pointer-events: unset;
			}
			
			.header-badges {
				flex-direction: column;
				gap: 5px;
				align-items: flex-start;
				flex: 0 1 auto;
				margin-top: auto;
				margin-bottom: auto;
			}
			
			.badge-img {
				height: auto;
				max-width: 130px;
			}
			
			.header-tabs {
				margin-top: 10px;
				display: flex;
				flex-wrap: wrap;
				gap: 10px;
				flex: 2 1 100%;
				justify-content: center;
			}
			
			.nav-tab {
				display: inline-block;
				text-decoration: none;
				padding: 8px 16px;
				border-radius: 20px;
				background: linear-gradient(to right, #4a90e2, #357ABD);
				color: white;
				font-weight: bold;
				white-space: nowrap;
				transition: background 0.2s ease-in-out, transform 0.2s;
				box-shadow: 0 2px 4px rgba(0,0,0,0.2);
			}
			
			.nav-tab:hover {
				background: linear-gradient(to right, #5aa0f2, #4a90e2);
				transform: translateY(-2px);
			}
			
			.current-tag {
				padding-left: 10px;
				font-size: 0.9rem;
				color: #666;
			}
			
			.header-theme-toggle {
				flex: 1 1 auto;
				align-items: center;
				margin-top: 20px;
				min-width: 120px;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 60px;
				height: 30px;
			}
			
			.switch input {
				display: none;
			}
			
			.slider {
				position: absolute;
				top: 0; left: 0; right: 0; bottom: 0;
				background-color: #ccc;
				border-radius: 34px;
				cursor: pointer;
			}
			
			.slider::before {
				content: "";
				position: absolute;
				height: 24px;
				width: 24px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #2196F3;
			}
			
			input:checked + .slider::before {
				transform: translateX(30px);
			}
			
			@media (max-width: 768px) {
				.header-logo-group,
				.header-badges,
				.header-theme-toggle {
					justify-content: center;
					flex: 1 1 100%;
					text-align: center;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					font-size: 2em;
				}
			}
			
			.header_button {
				margin-top: 20px;
				margin: 5px;
			}
			
			.line_break_anywhere {
				line-break: anywhere;
			}
			
			.responsive-container {
				display: flex;
				flex-wrap: wrap;
				justify-content: space-between;
				gap: 20px;
			}
			
			.responsive-container .half {
				flex: 1 1 48%;
				box-sizing: border-box;
				min-width: 500px;
			}
			
			.config-section table {
				width: 100%;
				border-collapse: collapse;
			}
			
			@media (max-width: 768px) {
				.responsive-container .half {
					flex: 1 1 100%;
				}
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			.rotate {
				animation: spin 2s linear infinite;
				display: inline-block;
			}
			

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 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			}
			
			: :-webkit-scrollbar-button: vertical: end{
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			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
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			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 17px;
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			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
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stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
			}
			
			.field-row{
				display: flex;
				align-items: center
			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
				margin-top: 6px
			}
			
			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
			menu[role=tablist] button{
				background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
				padding: 0 12px 3px
			}
			
			menu[role=tablist] button: hover{
				box-shadow: unset;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]{
				border-color: #919b9c;
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]: first-of-type: before{
				content: "";
				display: block;
				position: absolute;
				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
			}
			
			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
			}
			
			ul.tree-view{
				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
			}
			
			@keyframes sliding{
				0%{
					transform: translateX(-30px)
				}
			
				to{
					transform: translateX(100%)
				}
			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
				border-radius: 4px;
				padding: 1px 2px 1px 0;
				overflow: hidden;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress,progress: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				height: 14px
			}
			
			progress[value]: :-webkit-progress-bar{
				background-color: transparent
			}
			
			progress[value]: :-webkit-progress-value{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress[value]: :-moz-progress-bar{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-webkit-progress-bar{
				width: 100%;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-webkit-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]){
				position: relative
			}
			
			progress: not([value]): before{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before,progress: not([value]): before: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): after{
				box-sizing: border-box;
				content: "";
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			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1743610577,
			        576.90625,
			        38.3
			    ],
			    [
			        1743610584,
			        577.1640625,
			        38.5
			    ],
			    [
			        1743610584,
			        577.1640625,
			        38.6
			    ],
			    [
			        1743610584,
			        577.1640625,
			        38.6
			    ],
			    [
			        1743610584,
			        577.1640625,
			        40.9
			    ],
			    [
			        1743610584,
			        577.1640625,
			        38.6
			    ],
			    [
			        1743610584,
			        577.1640625,
			        40
			    ],
			    [
			        1743610712,
			        590.91796875,
			        38.4
			    ],
			    [
			        1743610712,
			        590.91796875,
			        39
			    ],
			    [
			        1743610712,
			        590.91796875,
			        38.5
			    ],
			    [
			        1743610712,
			        590.91796875,
			        34
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout) {
				layout["width"] = get_graph_width();
				layout["height"] = get_graph_height();
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function load_pareto_graph() {
				if($("#tab_pareto_fronts").data("loaded") == "true") {
					return;
				}
			
				var data = pareto_front_data;
			
				if (!data || typeof data !== "object") {
					console.error("Invalid data format for pareto_front_data");
					return;
				}
			
				if (!Object.keys(data).length) {
					console.warn("No data found in pareto_front_data");
					return;
				}
			
				let categories = Object.keys(data);
				let allMetrics = new Set();
			
				function extractMetrics(obj, prefix = "") {
					let keys = Object.keys(obj);
					for (let key of keys) {
						let newPrefix = prefix ? `${prefix} -> ${key}` : key;
						if (typeof obj[key] === "object" && !Array.isArray(obj[key])) {
							extractMetrics(obj[key], newPrefix);
						} else {
							if (!newPrefix.includes("param_dicts") && !newPrefix.includes(" -> sems -> ") && !newPrefix.includes("absolute_metrics")) {
								allMetrics.add(newPrefix);
							}
						}
					}
				}
			
				for (let cat of categories) {
					extractMetrics(data[cat]);
				}
			
				allMetrics = Array.from(allMetrics);
			
				function extractValues(obj, metricPath, values) {
					let parts = metricPath.split(" -> ");
					let data = obj;
					for (let part of parts) {
						if (data && typeof data === "object") {
							data = data[part];
						} else {
							return;
						}
					}
					if (Array.isArray(data)) {
						values.push(...data);
					}
				}
			
				let graphContainer = document.getElementById("pareto_front_graphs_container");
				graphContainer.classList.add("invert_in_dark_mode");
				graphContainer.innerHTML = "";
			
				var already_plotted = [];
			
				for (let i = 0; i < allMetrics.length; i++) {
					for (let j = i + 1; j < allMetrics.length; j++) {
						let xMetric = allMetrics[i];
						let yMetric = allMetrics[j];
			
						let xValues = [];
						let yValues = [];
			
						for (let cat of categories) {
							let metricData = data[cat];
							extractValues(metricData, xMetric, xValues);
							extractValues(metricData, yMetric, yValues);
						}
			
						xValues = xValues.filter(v => v !== undefined && v !== null);
						yValues = yValues.filter(v => v !== undefined && v !== null);
			
						let cleanXMetric = xMetric.replace(/.* -> /g, "");
						let cleanYMetric = yMetric.replace(/.* -> /g, "");
			
						let plot_key = `${cleanXMetric}-${cleanYMetric}`;
			
						if (xValues.length > 0 && yValues.length > 0 && xValues.length === yValues.length && !already_plotted.includes(plot_key)) {
							let div = document.createElement("div");
							div.id = `pareto_front_graph_${i}_${j}`;
							div.style.marginBottom = "20px";
							graphContainer.appendChild(div);
			
							let layout = {
								title: `${cleanXMetric} vs ${cleanYMetric}`,
								xaxis: {
									title: get_axis_title_data(cleanXMetric)
								},
								yaxis: {
									title: get_axis_title_data(cleanYMetric)
								},
								hovermode: "closest"
							};
			
							let trace = {
								x: xValues,
								y: yValues,
								mode: "markers",
								marker: {
									size: get_marker_size(),
								},
								type: "scatter",
								name: `${cleanXMetric} vs ${cleanYMetric}`
							};
			
							Plotly.newPlot(div.id, [trace], add_default_layout_data(layout));
			
							already_plotted.push(plot_key);
						}
					}
				}
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				$("#tab_pareto_fronts").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_method";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',  // Zeigt nur Ausreißer außerhalb der Whiskers
						jitter: 0.5,  // Erhöht die Streuung der Punkte für bessere Sichtbarkeit
						pointpos: 0   // Position der Punkte innerhalb der Box
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: "Generation Method"
					},
					boxmode: 'group'  // Gruppiert die Boxplots nach Generation Method
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_method"]').forEach(el => {
					let color = el.textContent.includes("Manual") ? "green" :
						el.textContent.includes("Sobol") ? "orange" :
						el.textContent.includes("SAASBO") ? "pink" :
						el.textContent.includes("Uniform") ? "lightblue" :
						el.textContent.includes("Legacy_GPEI") ? "Sienna" :
						el.textContent.includes("BO_MIXED") ? "Aqua" :
						el.textContent.includes("RANDOMFOREST") ? "DarkSeaGreen" :
						el.textContent.includes("EXTERNAL_GENERATOR") ? "Purple" :
						el.textContent.includes("BoTorch") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
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				if (values.length === 0) return;
			
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			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
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						_colorize_table_entries_by_results();
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						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
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					<h1>&nbsp;Overview</h1>
			<h2>Experiment overview:              </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value           </th></tr></thead><tbody><tr><td> Model for non-random steps</td><td>BOTORCH_MODULAR </td></tr><tr><td> Max. nr. evaluations</td><td>500             </td></tr><tr><td> Number random steps</td><td>20              </td></tr><tr><td> Nr. of workers (parameter)</td><td>30              </td></tr><tr><td> Main process memory (GB)</td><td>8               </td></tr><tr><td> Worker memory (GB)</td><td>64              </td></tr></tbody></table><h2>Experiment parameters:                                                                                         </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Values</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>range</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> n_samples</td><td>range</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> confidence</td><td>choice</td><td></td><td></td><td>0.0001, 0.001, 0.005, 0.01, 0.025, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6, 0.65, 0.7,</td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td>0.75, 0.8, 0.85</td><td></td><td></td></tr><tr><td> feature_proportion</td><td>range</td><td>0.001</td><td>0.999</td><td></td><td>float</td><td>No         </td></tr><tr><td> n_clusters</td><td>range</td><td>1</td><td>50</td><td></td><td>int</td><td>No         </td></tr></tbody></table><br><h2>Number of evaluations:</h2>
			<table>
			<tbody>
			<tr>
			<th>Failed</th>
			<th>Succeeded</th>
			<th>Running</th>
			<th>Total</th>
			</tr>
			<tr>
			<td>25</td>
			<td>0</td>
			<td>5</td>
			<td>30</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types:</h2>
			<br><table>
			<tr><th>name</th><th>min/max</th></tr>
			<tr>
			<td>ACCURACY</td>
			<td>max</td>
			</tr>
			<tr>
			<td>RUNTIME</td>
			<td>min</td>
			</tr>
			</table><br>
			<h2>Last progressbar status:</h2>
			<tt>2025-04-02 18:24:57: Failed jobs: 24 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/pending 2/4 (20%/30), job_failed</tt><br>
			<h2>Git-Version:</h2>
			<tt>Commit: 748be6af2e38a3c47ed5b1c8cc0139d9175bbc80 (5372-1-g748be6af2)
			</tt>
			<h1>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,recent_samples_size,n_samples,confidence,feature_proportion,n_clusters
0,0_0,FAILED,Sobol,GenerationStep_0,290,3314,0.200000000000000011102230246252,0.736301490545272829812972759100,42
1,1_0,RUNNING,Sobol,GenerationStep_0,3641,964,0.800000000000000044408920985006,0.033160870404914020992404033450,3
2,2_0,FAILED,Sobol,GenerationStep_0,4011,4389,0.010000000000000000208166817117,0.883847066933289182699695629708,14
3,3_0,FAILED,Sobol,GenerationStep_0,2383,2351,0.599999999999999977795539507497,0.339503032457083464557001661888,31
4,4_0,FAILED,Sobol,GenerationStep_0,1486,3936,0.650000000000000022204460492503,0.436676922988146531956488161086,36
5,5_0,FAILED,Sobol,GenerationStep_0,4858,1591,0.200000000000000011102230246252,0.856267269367352090725376001501,22
6,6_0,FAILED,Sobol,GenerationStep_0,2805,2511,0.349999999999999977795539507497,0.192674605043604979526250531308,8
7,7_0,FAILED,Sobol,GenerationStep_0,1157,478,0.001000000000000000020816681712,0.521569156799465472040822078270,50
8,8_0,FAILED,Sobol,GenerationStep_0,874,4877,0.450000000000000011102230246252,0.809503169761970675644136008486,5
9,9_0,FAILED,Sobol,GenerationStep_0,2972,1902,0.000100000000000000004792173602,0.483532451707869792567606737066,41
10,10_0,FAILED,Sobol,GenerationStep_0,4671,3451,0.699999999999999955591079014994,0.568455075141042431852156369132,26
11,11_0,FAILED,Sobol,GenerationStep_0,1788,789,0.050000000000000002775557561563,0.145940909931436185731357113582,19
12,12_0,FAILED,Sobol,GenerationStep_0,2159,2999,0.025000000000000001387778780781,0.111021144995465878557716621344,24
13,13_0,FAILED,Sobol,GenerationStep_0,4275,29,0.500000000000000000000000000000,0.658288998302072325685685427743,34
14,14_0,FAILED,Sobol,GenerationStep_0,3397,4073,0.299999999999999988897769753748,0.261520939130336027567125256610,46
15,15_0,FAILED,Sobol,GenerationStep_0,494,1416,0.800000000000000044408920985006,0.961737731145694829670844683278,13
16,16_0,FAILED,Sobol,GenerationStep_0,387,4302,0.000100000000000000004792173602,0.222229984560981391750189573031,30
17,17_0,FAILED,Sobol,GenerationStep_0,3270,1342,0.400000000000000022204460492503,0.547225987281650283478029450634,16
18,18_0,FAILED,Sobol,GenerationStep_0,4069,2916,0.100000000000000005551115123126,0.399933717537671318265068975961,2
19,19_0,FAILED,Sobol,GenerationStep_0,1972,268,0.750000000000000000000000000000,0.823422360138967635023732327682,44
20,20_0,FAILED,Sobol,GenerationStep_0,1583,3680,0.500000000000000000000000000000,0.920595417873933952179754669487,48
21,21_0,FAILED,Sobol,GenerationStep_0,4486,715,0.050000000000000002775557561563,0.372352849233895555336459892715,10
22,22_0,FAILED,Sobol,GenerationStep_0,2863,4794,0.750000000000000000000000000000,0.706740792658180017049573962140,20
23,23_0,FAILED,Sobol,GenerationStep_0,747,2141,0.250000000000000000000000000000,0.007498478034511208388523950674,38
24,24_0,FAILED,Sobol,GenerationStep_0,972,2740,0.849999999999999977795539507497,0.294462162714451525236114548534,17
25,25_0,FAILED,Sobol,GenerationStep_0,2600,405,0.250000000000000000000000000000,0.998577533507719605765373671602,28
26,26_0,RUNNING,Sobol,GenerationStep_0,4730,3853,0.550000000000000044408920985006,0.085510983290150763269643618969,39
27,27_0,RUNNING,Sobol,GenerationStep_0,1378,1831,0.010000000000000000208166817117,0.628880510631948719257877655764,7
28,28_0,RUNNING,Sobol,GenerationStep_0,2256,4618,0.149999999999999994448884876874,0.593959674958139616229857438157,11
29,29_0,RUNNING,Sobol,GenerationStep_0,3904,2278,0.599999999999999977795539507497,0.175344073655083781959618249857,47
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300976/16300976_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300984/16300984_0_log.err not found


⚠ Job 16300989 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300989/16300989_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300989/16300989_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 7, in &lt;module&gt;
    from submitit.core.submission import submitit_main
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 16, in &lt;module&gt;
    import numpy  # type: ignore  # noqa
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py&quot;, line 181, in &lt;module&gt;
    from . import lib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/__init__.py&quot;, line 23, in &lt;module&gt;
    from . import _index_tricks_impl
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_index_tricks_impl.py&quot;, line 12, in &lt;module&gt;
    import numpy.matrixlib as matrixlib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/__init__.py&quot;, line 4, in &lt;module&gt;
    from . import defmatrix
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/defmatrix.py&quot;, line 12, in &lt;module&gt;
    from numpy.linalg import matrix_power
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/__init__.py&quot;, line 88, in &lt;module&gt;
    from . import _linalg
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/_linalg.py&quot;, line 41, in &lt;module&gt;
    from numpy._typing import NDArray
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_typing/__init__.py&quot;, line 32, in &lt;module&gt;
    from ._char_codes import (
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_typing/_char_codes.py&quot;, line 45, in &lt;module&gt;
    _CLongDoubleCodes = Literal&quot;clongdouble&quot;, &quot;G&quot;, &quot;|G&quot;, &quot;=G&quot;, &quot;&lt;G&quot;, &quot;&gt;G&quot;]
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 410, in __getitem__
    return self._getitem(self, *parameters)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 309, in inner
    return cached(*args, **kwds)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 564, in Literal
    return _LiteralGenericAlias(self, parameters)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 1019, in __init__
    super().__init__(origin, inst=inst, name=name)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 951, in __init__
    self.__slots__ = None  # This is not documented.
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 986, in __setattr__
    def __setattr__(self, attr, val):
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300989/16300989_0_log.err not found


⚠ Job 16300992 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300992/16300992_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300992/16300992_0_log.out
----------------------------------------
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 7, in &lt;module&gt;
    from submitit.core.submission import submitit_main
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 16, in &lt;module&gt;
    import numpy  # type: ignore  # noqa
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py&quot;, line 181, in &lt;module&gt;
    from . import lib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/__init__.py&quot;, line 23, in &lt;module&gt;
    from . import _index_tricks_impl
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_index_tricks_impl.py&quot;, line 12, in &lt;module&gt;
    import numpy.matrixlib as matrixlib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/__init__.py&quot;, line 4, in &lt;module&gt;
    from . import defmatrix
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/defmatrix.py&quot;, line 12, in &lt;module&gt;
    from numpy.linalg import matrix_power
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/__init__.py&quot;, line 88, in &lt;module&gt;
    from . import _linalg
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/_linalg.py&quot;, line 41, in &lt;module&gt;
    from numpy._typing import NDArray
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_typing/__init__.py&quot;, line 32, in &lt;module&gt;
    from ._char_codes import (
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_typing/_char_codes.py&quot;, line 52, in &lt;module&gt;
    _DT64Codes = Literal
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 410, in __getitem__
    return self._getitem(self, *parameters)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 309, in inner
    return cached(*args, **kwds)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 564, in Literal
    return _LiteralGenericAlias(self, parameters)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 1025, in __init__
    self.__parameters__ = _collect_type_vars(params, typevar_types=_typevar_types)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/typing_extensions.py&quot;, line 3442, in _collect_type_vars
    if _is_unpacked_typevartuple(t):
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/typing_extensions.py&quot;, line 3411, in _is_unpacked_typevartuple
    if get_origin(x) is not Unpack:
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 1918, in get_origin
    if isinstance(tp, (_BaseGenericAlias, GenericAlias,
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300992/16300992_0_log.err not found


⚠ Job 16300994 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300994/16300994_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300994/16300994_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 7, in &lt;module&gt;
    from submitit.core.submission import submitit_main
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 16, in &lt;module&gt;
    import numpy  # type: ignore  # noqa
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py&quot;, line 181, in &lt;module&gt;
    from . import lib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/__init__.py&quot;, line 23, in &lt;module&gt;
    from . import _index_tricks_impl
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_index_tricks_impl.py&quot;, line 12, in &lt;module&gt;
    import numpy.matrixlib as matrixlib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/__init__.py&quot;, line 4, in &lt;module&gt;
    from . import defmatrix
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/defmatrix.py&quot;, line 12, in &lt;module&gt;
    from numpy.linalg import matrix_power
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/__init__.py&quot;, line 88, in &lt;module&gt;
    from . import _linalg
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/_linalg.py&quot;, line 41, in &lt;module&gt;
    from numpy._typing import NDArray
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_typing/__init__.py&quot;, line 32, in &lt;module&gt;
    from ._char_codes import (
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_typing/_char_codes.py&quot;, line 52, in &lt;module&gt;
    _DT64Codes = Literal
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 410, in __getitem__
    return self._getitem(self, *parameters)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 309, in inner
    return cached(*args, **kwds)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 564, in Literal
    return _LiteralGenericAlias(self, parameters)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/typing.py&quot;, line 1025, in __init__
    self.__parameters__ = _collect_type_vars(params, typevar_types=_typevar_types)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/typing_extensions.py&quot;, line 3445, in _collect_type_vars
    isinstance(t, typevar_types) and not isinstance(t, _UnpackAlias)
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300994/16300994_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300997/16300997_0_log.err not found


⚠ Job 16300999 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300999/16300999_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300999/16300999_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 187, in _run_module_as_main
    mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 110, in _get_module_details
    __import__(pkg_name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/__init__.py&quot;, line 9, in &lt;module&gt;
    from . import helpers as helpers
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/helpers.py&quot;, line 22, in &lt;module&gt;
    from .core import core
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/core.py&quot;, line 19, in &lt;module&gt;
    from . import logger, utils
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/logger.py&quot;, line 7, in &lt;module&gt;
    import logging.config
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/logging/config.py&quot;, line 30, in &lt;module&gt;
    import logging.handlers
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 688, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 879, in exec_module
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1012, in get_code
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 672, in _compile_bytecode
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16300999/16300999_0_log.err not found


⚠ Job 16301000 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301000/16301000_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301000/16301000_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 187, in _run_module_as_main
    mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 110, in _get_module_details
    __import__(pkg_name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/__init__.py&quot;, line 9, in &lt;module&gt;
    from . import helpers as helpers
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/helpers.py&quot;, line 22, in &lt;module&gt;
    from .core import core
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/core.py&quot;, line 19, in &lt;module&gt;
    from . import logger, utils
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/logger.py&quot;, line 7, in &lt;module&gt;
    import logging.config
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/logging/config.py&quot;, line 30, in &lt;module&gt;
    import logging.handlers
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 688, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 879, in exec_module
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1012, in get_code
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 672, in _compile_bytecode
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301000/16301000_0_log.err not found


⚠ Job 16301003 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301003/16301003_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301003/16301003_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 187, in _run_module_as_main
    mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 110, in _get_module_details
    __import__(pkg_name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/__init__.py&quot;, line 9, in &lt;module&gt;
    from . import helpers as helpers
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/helpers.py&quot;, line 22, in &lt;module&gt;
    from .core import core
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/core.py&quot;, line 19, in &lt;module&gt;
    from . import logger, utils
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/logger.py&quot;, line 7, in &lt;module&gt;
    import logging.config
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/logging/config.py&quot;, line 30, in &lt;module&gt;
    import logging.handlers
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/logging/handlers.py&quot;, line 26, in &lt;module&gt;
    import io, logging, socket, os, pickle, struct, time, re
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1002, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 945, in _find_spec
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1439, in find_spec
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1411, in _get_spec
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1544, in find_spec
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 147, in _path_stat
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301003/16301003_0_log.err not found


⚠ Job 16301005 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301005/16301005_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301005/16301005_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 187, in _run_module_as_main
    mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 110, in _get_module_details
    __import__(pkg_name)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/__init__.py&quot;, line 9, in &lt;module&gt;
    from . import helpers as helpers
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/helpers.py&quot;, line 22, in &lt;module&gt;
    from .core import core
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/core.py&quot;, line 13, in &lt;module&gt;
    import uuid
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/uuid.py&quot;, line 59, in &lt;module&gt;
    import platform
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/platform.py&quot;, line 968, in &lt;module&gt;
    _ironpython_sys_version_parser = re.compile(
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/re.py&quot;, line 251, in compile
    return _compile(pattern, flags)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/re.py&quot;, line 303, in _compile
    p = sre_compile.compile(pattern, flags)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_compile.py&quot;, line 768, in compile
    code = _code(p, flags)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_compile.py&quot;, line 607, in _code
    _compile(code, p.data, flags)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_compile.py&quot;, line 168, in _compile
    _compile(code, p, _combine_flags(flags, add_flags, del_flags))
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_compile.py&quot;, line 148, in _compile
    _compile(code, av2], flags)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_compile.py&quot;, line 120, in _compile
    charset, hascased = _optimize_charset(av, iscased, tolower, fixes)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_compile.py&quot;, line 357, in _optimize_charset
    if hascased or len(out) &lt; len(charset):
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301005/16301005_0_log.err not found


⚠ Job 16301008 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301008/16301008_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301008/16301008_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 7, in &lt;module&gt;
    from submitit.core.submission import submitit_main
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 16, in &lt;module&gt;
    import numpy  # type: ignore  # noqa
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py&quot;, line 181, in &lt;module&gt;
    from . import lib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/__init__.py&quot;, line 16, in &lt;module&gt;
    from . import npyio
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/npyio.py&quot;, line 1, in &lt;module&gt;
    from ._npyio_impl import (
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_npyio_impl.py&quot;, line 17, in &lt;module&gt;
    from . import format
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/format.py&quot;, line 170, in &lt;module&gt;
    from numpy.lib._utils_impl import drop_metadata
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_utils_impl.py&quot;, line 3, in &lt;module&gt;
    import textwrap
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 688, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 879, in exec_module
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 975, in get_code
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1074, in get_data
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301008/16301008_0_log.err not found


⚠ Job 16301011 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301011/16301011_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301011/16301011_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 7, in &lt;module&gt;
    from submitit.core.submission import submitit_main
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 16, in &lt;module&gt;
    import numpy  # type: ignore  # noqa
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py&quot;, line 181, in &lt;module&gt;
    from . import lib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/__init__.py&quot;, line 23, in &lt;module&gt;
    from . import _index_tricks_impl
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_index_tricks_impl.py&quot;, line 12, in &lt;module&gt;
    import numpy.matrixlib as matrixlib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/__init__.py&quot;, line 4, in &lt;module&gt;
    from . import defmatrix
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1002, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 945, in _find_spec
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 826, in find_spec
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301011/16301011_0_log.err not found


⚠ Job 16301013 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301013/16301013_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301013/16301013_0_log.out
----------------------------------------
    import numpy  # type: ignore  # noqa
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py&quot;, line 181, in &lt;module&gt;
    from . import lib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/__init__.py&quot;, line 16, in &lt;module&gt;
    from . import npyio
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/npyio.py&quot;, line 1, in &lt;module&gt;
    from ._npyio_impl import (
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_npyio_impl.py&quot;, line 17, in &lt;module&gt;
    from . import format
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/format.py&quot;, line 170, in &lt;module&gt;
    from numpy.lib._utils_impl import drop_metadata
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_utils_impl.py&quot;, line 3, in &lt;module&gt;
    import textwrap
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/textwrap.py&quot;, line 17, in &lt;module&gt;
    class TextWrapper:
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/textwrap.py&quot;, line 81, in TextWrapper
    wordsep_re = re.compile(r&#039;&#039;&#039;
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/re.py&quot;, line 251, in compile
    return _compile(pattern, flags)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/re.py&quot;, line 303, in _compile
    p = sre_compile.compile(pattern, flags)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_compile.py&quot;, line 764, in compile
    p = sre_parse.parse(p, flags)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py&quot;, line 950, in parse
    p = _parse_sub(source, state, flags &amp; SRE_FLAG_VERBOSE, 0)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py&quot;, line 443, in _parse_sub
    itemsappend(_parse(source, state, verbose, nested + 1,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py&quot;, line 836, in _parse
    p = _parse_sub(source, state, sub_verbose, nested + 1)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py&quot;, line 443, in _parse_sub
    itemsappend(_parse(source, state, verbose, nested + 1,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py&quot;, line 836, in _parse
    p = _parse_sub(source, state, sub_verbose, nested + 1)
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py&quot;, line 443, in _parse_sub
    itemsappend(_parse(source, state, verbose, nested + 1,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py&quot;, line 519, in _parse
    this = sourceget()
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/sre_parse.py&quot;, line 254, in get
    def get(self):
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301013/16301013_0_log.err not found


⚠ Job 16301016 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301016/16301016_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301016/16301016_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 7, in &lt;module&gt;
    from submitit.core.submission import submitit_main
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 16, in &lt;module&gt;
    import numpy  # type: ignore  # noqa
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py&quot;, line 181, in &lt;module&gt;
    from . import lib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/__init__.py&quot;, line 23, in &lt;module&gt;
    from . import _index_tricks_impl
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_index_tricks_impl.py&quot;, line 12, in &lt;module&gt;
    import numpy.matrixlib as matrixlib
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 688, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 879, in exec_module
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 975, in get_code
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1073, in get_data
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301016/16301016_0_log.err not found


⚠ Job 16301019 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301019/16301019_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301019/16301019_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 7, in &lt;module&gt;
    from submitit.core.submission import submitit_main
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 16, in &lt;module&gt;
    import numpy  # type: ignore  # noqa
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py&quot;, line 181, in &lt;module&gt;
    from . import lib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/__init__.py&quot;, line 23, in &lt;module&gt;
    from . import _index_tricks_impl
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_index_tricks_impl.py&quot;, line 12, in &lt;module&gt;
    import numpy.matrixlib as matrixlib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/__init__.py&quot;, line 4, in &lt;module&gt;
    from . import defmatrix
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/defmatrix.py&quot;, line 12, in &lt;module&gt;
    from numpy.linalg import matrix_power
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/__init__.py&quot;, line 88, in &lt;module&gt;
    from . import _linalg
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/_linalg.py&quot;, line 41, in &lt;module&gt;
    from numpy._typing import NDArray
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_typing/__init__.py&quot;, line 8, in &lt;module&gt;
    from ._nbit_base import (
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 688, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 879, in exec_module
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 975, in get_code
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1073, in get_data
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301019/16301019_0_log.err not found


⚠ Job 16301023 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301023/16301023_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301023/16301023_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 7, in &lt;module&gt;
    from submitit.core.submission import submitit_main
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 16, in &lt;module&gt;
    import numpy  # type: ignore  # noqa
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py&quot;, line 181, in &lt;module&gt;
    from . import lib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/__init__.py&quot;, line 23, in &lt;module&gt;
    from . import _index_tricks_impl
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_index_tricks_impl.py&quot;, line 12, in &lt;module&gt;
    import numpy.matrixlib as matrixlib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/__init__.py&quot;, line 4, in &lt;module&gt;
    from . import defmatrix
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/defmatrix.py&quot;, line 12, in &lt;module&gt;
    from numpy.linalg import matrix_power
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/__init__.py&quot;, line 88, in &lt;module&gt;
    from . import _linalg
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/_linalg.py&quot;, line 41, in &lt;module&gt;
    from numpy._typing import NDArray
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_typing/__init__.py&quot;, line 5, in &lt;module&gt;
    from ._nested_sequence import (
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1027, in _find_and_load
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1006, in _find_and_load_unlocked
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 688, in _load_unlocked
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 879, in exec_module
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 975, in get_code
  File &quot;&lt;frozen importlib._bootstrap_external&gt;&quot;, line 1073, in get_data
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301023/16301023_0_log.err not found


⚠ Job 16301027 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301027/16301027_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301027/16301027_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 7, in &lt;module&gt;
    from submitit.core.submission import submitit_main
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 16, in &lt;module&gt;
    import numpy  # type: ignore  # noqa
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py&quot;, line 181, in &lt;module&gt;
    from . import lib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/__init__.py&quot;, line 23, in &lt;module&gt;
    from . import _index_tricks_impl
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/lib/_index_tricks_impl.py&quot;, line 12, in &lt;module&gt;
    import numpy.matrixlib as matrixlib
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/__init__.py&quot;, line 4, in &lt;module&gt;
    from . import defmatrix
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/matrixlib/defmatrix.py&quot;, line 12, in &lt;module&gt;
    from numpy.linalg import matrix_power
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/__init__.py&quot;, line 88, in &lt;module&gt;
    from . import _linalg
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/linalg/_linalg.py&quot;, line 41, in &lt;module&gt;
    from numpy._typing import NDArray
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_typing/__init__.py&quot;, line 8, in &lt;module&gt;
    from ._nbit_base import (
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_typing/_nbit_base.py&quot;, line 2, in &lt;module&gt;
    from .._utils import set_module
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 404, in parent
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301027/16301027_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301031/16301031_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301034/16301034_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301036/16301036_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301038/16301038_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301041/16301041_0_log.err not found


⚠ Job 16301043 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301043/16301043_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301043/16301043_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 7, in &lt;module&gt;
    from submitit.core.submission import submitit_main
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 16, in &lt;module&gt;
    import numpy  # type: ignore  # noqa
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py&quot;, line 114, in &lt;module&gt;
    from numpy.__config__ import show_config
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__config__.py&quot;, line 4, in &lt;module&gt;
    from numpy._core._multiarray_umath import (
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_core/__init__.py&quot;, line 23, in &lt;module&gt;
    from . import multiarray
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_core/multiarray.py&quot;, line 10, in &lt;module&gt;
    from . import overrides
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_core/overrides.py&quot;, line 7, in &lt;module&gt;
    from numpy._core._multiarray_umath import (
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1022, in _find_and_load
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301043/16301043_0_log.err not found


⚠ Job 16301044 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301044/16301044_0_result.pkl
has not produced any output (state: FAILED)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301044/16301044_0_log.out
----------------------------------------
Traceback (most recent call last):
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File &quot;/software/rapids/r23.04/Python/3.10.4-GCCcore-11.3.0/lib/python3.10/runpy.py&quot;, line 86, in _run_code
    exec(code, run_globals)
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/_submit.py&quot;, line 7, in &lt;module&gt;
    from submitit.core.submission import submitit_main
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/submitit/core/submission.py&quot;, line 16, in &lt;module&gt;
    import numpy  # type: ignore  # noqa
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__init__.py&quot;, line 114, in &lt;module&gt;
    from numpy.__config__ import show_config
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/__config__.py&quot;, line 4, in &lt;module&gt;
    from numpy._core._multiarray_umath import (
  File &quot;/home/s4122485/.omniax_x86_64_Python_3.10.4_barnard/lib/python3.10/site-packages/numpy/_core/__init__.py&quot;, line 71, in &lt;module&gt;
    from . import numerictypes as nt
  File &quot;&lt;frozen importlib._bootstrap&gt;&quot;, line 1053, in _handle_fromlist
KeyboardInterrupt



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301044/16301044_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/OmniOpt/runs/CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/16301047/16301047_0_log.err not found

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
			
			<h1>&nbsp;Progressbar log</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_progressbar_log")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_progressbar_log", "progressbar")'> Download &raquo;progressbar&laquo; as file</button>
<pre id='simple_pre_tab_tab_progressbar_log'>2025-04-02 18:16:24: Initializing model, Started OmniOpt2 run...
2025-04-02 18:16:24: Initializing model, finished 0 jobs
2025-04-02 18:16:24: Initializing model, trying to get 30 next steps (current done: 0, max: 500)
2025-04-02 18:16:24: Initializing model, finishing jobs (_get_next_trials), finished 0 jobs
2025-04-02 18:16:24: Initializing model, getting new hyperparameter set #1/30
2025-04-02 18:16:25: SobolGenerator, getting new hyperparameter set #2/30 | ETA: 24s
2025-04-02 18:16:25: SobolGenerator, getting new hyperparameter set #3/30 | ETA: 19s
2025-04-02 18:16:26: SobolGenerator, getting new hyperparameter set #4/30 | ETA: 18s
2025-04-02 18:16:27: SobolGenerator, getting new hyperparameter set #5/30 | ETA: 17s
2025-04-02 18:16:27: SobolGenerator, getting new hyperparameter set #6/30 | ETA: 16s
2025-04-02 18:16:28: SobolGenerator, getting new hyperparameter set #7/30 | ETA: 15s
2025-04-02 18:16:29: SobolGenerator, getting new hyperparameter set #8/30 | ETA: 15s
2025-04-02 18:16:29: SobolGenerator, getting new hyperparameter set #9/30 | ETA: 14s
2025-04-02 18:16:30: SobolGenerator, getting new hyperparameter set #10/30 | ETA: 13s
2025-04-02 18:16:31: SobolGenerator, getting new hyperparameter set #11/30 | ETA: 12s
2025-04-02 18:16:31: SobolGenerator, getting new hyperparameter set #12/30 | ETA: 11s
2025-04-02 18:16:32: SobolGenerator, getting new hyperparameter set #13/30 | ETA: 11s
2025-04-02 18:16:32: SobolGenerator, getting new hyperparameter set #14/30 | ETA: 10s
2025-04-02 18:16:33: SobolGenerator, getting new hyperparameter set #15/30 | ETA: 9s
2025-04-02 18:16:33: SobolGenerator, getting new hyperparameter set #16/30 | ETA: 9s
2025-04-02 18:16:34: SobolGenerator, getting new hyperparameter set #17/30 | ETA: 8s
2025-04-02 18:16:34: SobolGenerator, getting new hyperparameter set #18/30 | ETA: 7s
2025-04-02 18:16:35: SobolGenerator, getting new hyperparameter set #19/30 | ETA: 6s
2025-04-02 18:16:35: SobolGenerator, getting new hyperparameter set #20/30 | ETA: 6s
2025-04-02 18:16:35: SobolGenerator, getting new hyperparameter set #21/30 | ETA: 5s
2025-04-02 18:16:36: SobolGenerator, getting new hyperparameter set #22/30 | ETA: 5s
2025-04-02 18:16:36: SobolGenerator, getting new hyperparameter set #23/30 | ETA: 4s
2025-04-02 18:16:37: SobolGenerator, getting new hyperparameter set #24/30 | ETA: 3s
2025-04-02 18:16:37: SobolGenerator, getting new hyperparameter set #25/30 | ETA: 3s
2025-04-02 18:16:38: SobolGenerator, getting new hyperparameter set #26/30 | ETA: 2s
2025-04-02 18:16:38: SobolGenerator, getting new hyperparameter set #27/30 | ETA: 2s
2025-04-02 18:16:39: SobolGenerator, getting new hyperparameter set #28/30 | ETA: 1s
2025-04-02 18:16:39: SobolGenerator, getting new hyperparameter set #29/30 | ETA: 1s
2025-04-02 18:16:40: SobolGenerator, getting new hyperparameter set #30/30 | ETA: 0s
2025-04-02 18:16:40: SobolGenerator, starting parameter set
2025-04-02 18:16:40: SobolGenerator, starting new job
2025-04-02 18:16:43: SobolGenerator, unknown 1 (3%/30), started new job
2025-04-02 18:16:43: SobolGenerator, unknown 1 (3%/30), starting parameter set
2025-04-02 18:16:43: SobolGenerator, unknown 1 (3%/30), starting new job
2025-04-02 18:16:46: SobolGenerator, pending/unknown 1/1 (7%/30), started new job
2025-04-02 18:16:46: SobolGenerator, pending/unknown 1/1 (7%/30), starting parameter set
2025-04-02 18:16:47: SobolGenerator, pending 2 (7%/30), starting new job
2025-04-02 18:16:50: SobolGenerator, pending/unknown 2/1 (10%/30), started new job
2025-04-02 18:16:50: SobolGenerator, pending/unknown 2/1 (10%/30), starting parameter set
2025-04-02 18:16:51: SobolGenerator, pending/unknown 2/1 (10%/30), starting new job
2025-04-02 18:16:53: SobolGenerator, pending/unknown 2/2 (13%/30), started new job
2025-04-02 18:16:53: SobolGenerator, pending/unknown 2/2 (13%/30), starting parameter set
2025-04-02 18:16:53: SobolGenerator, pending/unknown 2/2 (13%/30), starting new job
2025-04-02 18:16:55: SobolGenerator, pending/unknown 4/1 (17%/30), started new job
2025-04-02 18:16:55: SobolGenerator, pending/unknown 4/1 (17%/30), starting parameter set
2025-04-02 18:16:55: SobolGenerator, pending/unknown 4/1 (17%/30), starting new job
2025-04-02 18:16:58: SobolGenerator, pending/unknown 4/2 (20%/30), started new job
2025-04-02 18:16:58: SobolGenerator, pending/unknown 4/2 (20%/30), starting parameter set
2025-04-02 18:16:59: SobolGenerator, pending/unknown 4/2 (20%/30), starting new job
2025-04-02 18:17:01: SobolGenerator, pending/unknown 6/1 (23%/30), started new job
2025-04-02 18:17:01: SobolGenerator, pending/unknown 6/1 (23%/30), starting parameter set
2025-04-02 18:17:01: SobolGenerator, pending/unknown 6/1 (23%/30), starting new job
2025-04-02 18:17:03: SobolGenerator, pending/unknown 6/2 (27%/30), started new job
2025-04-02 18:17:03: SobolGenerator, pending/unknown 6/2 (27%/30), starting parameter set
2025-04-02 18:17:03: SobolGenerator, pending/unknown 6/2 (27%/30), starting new job
2025-04-02 18:17:05: SobolGenerator, pending/unknown 8/1 (30%/30), started new job
2025-04-02 18:17:05: SobolGenerator, pending/unknown 8/1 (30%/30), starting parameter set
2025-04-02 18:17:06: SobolGenerator, pending/unknown 8/1 (30%/30), starting new job
2025-04-02 18:17:08: SobolGenerator, pending/unknown 8/2 (33%/30), started new job
2025-04-02 18:17:08: SobolGenerator, pending/unknown 8/2 (33%/30), starting parameter set
2025-04-02 18:17:09: SobolGenerator, pending 10 (33%/30), starting new job
2025-04-02 18:17:12: SobolGenerator, pending/unknown 10/1 (37%/30), started new job
2025-04-02 18:17:12: SobolGenerator, pending/unknown 10/1 (37%/30), starting parameter set
2025-04-02 18:17:12: SobolGenerator, pending 11 (37%/30), starting new job
2025-04-02 18:17:14: SobolGenerator, pending/unknown 11/1 (40%/30), started new job
2025-04-02 18:17:14: SobolGenerator, pending/unknown 11/1 (40%/30), starting parameter set
2025-04-02 18:17:15: SobolGenerator, pending/unknown 11/1 (40%/30), starting new job
2025-04-02 18:17:17: SobolGenerator, pending/unknown 11/2 (43%/30), started new job
2025-04-02 18:17:17: SobolGenerator, pending/unknown 11/2 (43%/30), starting parameter set
2025-04-02 18:17:17: SobolGenerator, pending/unknown 11/2 (43%/30), starting new job
2025-04-02 18:17:19: SobolGenerator, pending/unknown 13/1 (47%/30), started new job
2025-04-02 18:17:19: SobolGenerator, pending/unknown 13/1 (47%/30), starting parameter set
2025-04-02 18:17:19: SobolGenerator, pending/unknown 13/1 (47%/30), starting new job
2025-04-02 18:17:22: SobolGenerator, pending/unknown 13/2 (50%/30), started new job
2025-04-02 18:17:22: SobolGenerator, pending/unknown 13/2 (50%/30), starting parameter set
2025-04-02 18:17:22: SobolGenerator, pending/unknown 13/2 (50%/30), starting new job
2025-04-02 18:17:25: SobolGenerator, pending/unknown 15/1 (53%/30), started new job
2025-04-02 18:17:25: SobolGenerator, pending/unknown 15/1 (53%/30), starting parameter set
2025-04-02 18:17:26: SobolGenerator, pending/unknown 15/1 (53%/30), starting new job
2025-04-02 18:17:28: SobolGenerator, pending/unknown 15/2 (57%/30), started new job
2025-04-02 18:17:28: SobolGenerator, pending/unknown 15/2 (57%/30), starting parameter set
2025-04-02 18:17:29: SobolGenerator, pending 17 (57%/30), starting new job
2025-04-02 18:17:31: SobolGenerator, pending/unknown 17/1 (60%/30), started new job
2025-04-02 18:17:31: SobolGenerator, pending/unknown 17/1 (60%/30), starting parameter set
2025-04-02 18:17:32: SobolGenerator, pending/unknown 17/1 (60%/30), starting new job
2025-04-02 18:17:33: SobolGenerator, pending/unknown 17/2 (63%/30), started new job
2025-04-02 18:17:33: SobolGenerator, pending/unknown 17/2 (63%/30), starting parameter set
2025-04-02 18:17:34: SobolGenerator, pending/unknown 17/2 (63%/30), starting new job
2025-04-02 18:17:36: SobolGenerator, pending/unknown 19/1 (67%/30), started new job
2025-04-02 18:17:36: SobolGenerator, pending/unknown 19/1 (67%/30), starting parameter set
2025-04-02 18:17:36: SobolGenerator, pending/unknown 19/1 (67%/30), starting new job
2025-04-02 18:17:38: SobolGenerator, pending/unknown 19/2 (70%/30), started new job
2025-04-02 18:17:38: SobolGenerator, pending/unknown 19/2 (70%/30), starting parameter set
2025-04-02 18:17:38: SobolGenerator, pending/unknown 19/2 (70%/30), starting new job
2025-04-02 18:17:40: SobolGenerator, pending/unknown 21/1 (73%/30), started new job
2025-04-02 18:17:40: SobolGenerator, pending/unknown 21/1 (73%/30), starting parameter set
2025-04-02 18:17:41: SobolGenerator, pending/unknown 21/1 (73%/30), starting new job
2025-04-02 18:17:43: SobolGenerator, pending/unknown 21/2 (77%/30), started new job
2025-04-02 18:17:43: SobolGenerator, pending/unknown 21/2 (77%/30), starting parameter set
2025-04-02 18:17:44: SobolGenerator, pending 23 (77%/30), starting new job
2025-04-02 18:17:46: SobolGenerator, pending/unknown 23/1 (80%/30), started new job
2025-04-02 18:17:46: SobolGenerator, pending/unknown 23/1 (80%/30), starting parameter set
2025-04-02 18:17:47: SobolGenerator, pending/unknown 23/1 (80%/30), starting new job
2025-04-02 18:17:49: SobolGenerator, pending/unknown 23/2 (83%/30), started new job
2025-04-02 18:17:49: SobolGenerator, pending/unknown 23/2 (83%/30), starting parameter set
2025-04-02 18:17:50: SobolGenerator, pending/unknown 23/2 (83%/30), starting new job
2025-04-02 18:17:52: SobolGenerator, pending/unknown 25/1 (87%/30), started new job
2025-04-02 18:17:52: SobolGenerator, pending/unknown 25/1 (87%/30), starting parameter set
2025-04-02 18:17:52: SobolGenerator, pending/unknown 25/1 (87%/30), starting new job
2025-04-02 18:17:54: SobolGenerator, pending/unknown 25/2 (90%/30), started new job
2025-04-02 18:17:54: SobolGenerator, pending/unknown 25/2 (90%/30), starting parameter set
2025-04-02 18:17:55: SobolGenerator, pending/unknown 25/2 (90%/30), starting new job
2025-04-02 18:17:57: SobolGenerator, pending/unknown 26/2 (93%/30), started new job
2025-04-02 18:17:57: SobolGenerator, pending/unknown 26/2 (93%/30), starting parameter set
2025-04-02 18:17:57: SobolGenerator, pending/unknown 26/2 (93%/30), starting new job
2025-04-02 18:17:59: SobolGenerator, running/pending/unknown 1/26/2 (97%/30), started new job
2025-04-02 18:17:59: SobolGenerator, running/pending/unknown 1/26/2 (97%/30), starting parameter set
2025-04-02 18:17:59: SobolGenerator, running/pending/unknown 1/26/2 (97%/30), starting new job
2025-04-02 18:18:01: SobolGenerator, running/pending/unknown 1/26/3 (100%/30), started new job
2025-04-02 18:18:17: SobolGenerator, running/pending 1/29 (100%/30), finishing jobs after starting them, finished 0 jobs
2025-04-02 18:18:17: SobolGenerator, running/pending 1/29 (100%/30), got 30, requested 30
2025-04-02 18:18:31: SobolGenerator, running/pending 3/27 (100%/30), finishing previous jobs (30), finished 0 jobs
2025-04-02 18:18:33: SobolGenerator, running/pending 3/27 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 18:18:51: SobolGenerator, running/pending 3/27 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 18:18:51: SobolGenerator, running/pending 3/27 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 18:19:08: SobolGenerator, running/pending 3/27 (100%/30), waiting for jobs (30 left), finished 0 jobs
2025-04-02 18:19:08: SobolGenerator, running/pending 3/27 (100%/30), waiting for old jobs to finish (30 left)
2025-04-02 18:19:14: SobolGenerator, running/pending 3/27 (100%/30), job_failed
2025-04-02 18:19:27: Failed jobs: 1 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 2/27 (97%/30), waiting for jobs (30 left), finished 1 job
2025-04-02 18:19:27: Failed jobs: 1 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 2/27 (97%/30), waiting for old jobs to finish (29 left)
2025-04-02 18:19:34: Failed jobs: 1 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 2/27 (97%/30), job_failed
2025-04-02 18:19:47: Failed jobs: 2 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 1/27 (93%/30), waiting for jobs (29 left), finished 1 job
2025-04-02 18:19:48: Failed jobs: 2 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/pending 1/27 (93%/30), waiting for old jobs to finish (28 left)
2025-04-02 18:20:09: Failed jobs: 2 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/failed/pending 2/7/19 (93%/30), job_failed
2025-04-02 18:20:26: Failed jobs: 3 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/failed/pending 2/6/19 (90%/30), job_failed
2025-04-02 18:20:43: Failed jobs: 4 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/failed/pending 2/5/19 (87%/30), job_failed
2025-04-02 18:20:46: Failed jobs: 5 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/failed/pending 2/4/19 (83%/30), job_failed
2025-04-02 18:21:03: Failed jobs: 6 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/failed/pending 1/4/19 (80%/30), job_failed
2025-04-02 18:21:20: Failed jobs: 7 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/failed/pending 1/3/19 (77%/30), job_failed
2025-04-02 18:21:37: Failed jobs: 8 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, running/failed/pending 1/2/19 (73%/30), job_failed
2025-04-02 18:21:56: Failed jobs: 9 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 7/10/4 (70%/30), job_failed
2025-04-02 18:22:14: Failed jobs: 10 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 7/9/4 (67%/30), job_failed
2025-04-02 18:22:31: Failed jobs: 11 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 7/8/4 (63%/30), job_failed
2025-04-02 18:22:48: Failed jobs: 12 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 7/7/4 (60%/30), job_failed
2025-04-02 18:23:05: Failed jobs: 13 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 7/6/4 (57%/30), job_failed
2025-04-02 18:23:23: Failed jobs: 14 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 7/5/4 (53%/30), job_failed
2025-04-02 18:23:43: Failed jobs: 15 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 7/4/4 (50%/30), job_failed
2025-04-02 18:24:01: Failed jobs: 16 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 7/3/4 (47%/30), job_failed
2025-04-02 18:24:04: Failed jobs: 17 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 7/2/4 (43%/30), job_failed
2025-04-02 18:24:08: Failed jobs: 18 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 6/2/4 (40%/30), job_failed
2025-04-02 18:24:12: Failed jobs: 19 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 5/2/4 (37%/30), job_failed
2025-04-02 18:24:16: Failed jobs: 20 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 4/2/4 (33%/30), job_failed
2025-04-02 18:24:18: Failed jobs: 21 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 3/2/4 (30%/30), job_failed
2025-04-02 18:24:35: Failed jobs: 22 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 2/2/4 (27%/30), job_failed
2025-04-02 18:24:53: Failed jobs: 23 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/failed/pending 2/1/4 (23%/30), job_failed
2025-04-02 18:24:57: Failed jobs: 24 (&#039;ACCURACY: &lt;number&gt;&#039; not found in output, &#039;RUNTIME: &lt;number&gt;&#039; not found in output), SobolGenerator, completed/pending 2/4 (20%/30), job_failed
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_progressbar_log")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_progressbar_log", "progressbar")'> Download &raquo;progressbar&laquo; as file</button>
			
			<h1>&nbsp;Args Overview</h1>
			<h2>Arguments Overview:                                                                                           </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value                                                                                                                                                    </th></tr></thead><tbody><tr><td> config_yaml</td><td>None                                                                                                                                                     </td></tr><tr><td> config_toml</td><td>None                                                                                                                                                     </td></tr><tr><td> config_json</td><td>None                                                                                                                                                     </td></tr><tr><td> num_random_steps</td><td>20                                                                                                                                                       </td></tr><tr><td> max_eval</td><td>500                                                                                                                                                      </td></tr><tr><td> run_program</td><td>[[&#039;bW9kdWxlIGxvYWQgR0NDY29yZS8xMC4zLjAgUHl0aG9uICYmIHNvdXJjZSAvZGF0YS9ob3JzZS93cy9zNDEyMjQ4NS1jb21wUGVyZkREL2JlbmNobWFyay92ZW52L2Jpbi9hY3RpdmF0ZSAmJiBw&hellip; </td></tr><tr><td> experiment_name</td><td>CSDDM_TMDBalanced5s_HoeffdingTreeClassifier_ACCURACY-RUNTIME                                                                                             </td></tr><tr><td> mem_gb</td><td>64                                                                                                                                                       </td></tr><tr><td> parameter</td><td>[[&#039;recent_samples_size&#039;, &#039;range&#039;, &#039;1&#039;, &#039;5000&#039;, &#039;int&#039;], [&#039;n_samples&#039;, &#039;range&#039;, &#039;1&#039;, &#039;5000&#039;, &#039;int&#039;], [&#039;confidence&#039;, &#039;choice&#039;,                              </td></tr><tr><td></td><td>&#039;0.85,0.8,0.75,0.7,0.65,0.6,0.55,0.5,0.45,0.4,0.35,0.3,0.25,0.2,0.15,0.1,0.05,0.025,0.01,0.005,0.001,0.0001&#039;], [&#039;feature_proportion&#039;, &#039;range&#039;, &#039;0.001&#039;,  </td></tr><tr><td></td><td>&#039;0.999&#039;, &#039;float&#039;], [&#039;n_clusters&#039;, &#039;range&#039;, &#039;1&#039;, &#039;50&#039;, &#039;int&#039;]]                                                                                            </td></tr><tr><td> continue_previous_job</td><td>None                                                                                                                                                     </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                                                     </td></tr><tr><td> run_dir</td><td>runs                                                                                                                                                     </td></tr><tr><td> seed</td><td>None                                                                                                                                                     </td></tr><tr><td> decimalrounding</td><td>12                                                                                                                                                       </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                                                    </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                                                    </td></tr><tr><td> model</td><td>BOTORCH_MODULAR                                                                                                                                          </td></tr><tr><td> gridsearch</td><td>False                                                                                                                                                    </td></tr><tr><td> occ</td><td>False                                                                                                                                                    </td></tr><tr><td> show_sixel_scatter</td><td>False                                                                                                                                                    </td></tr><tr><td> show_sixel_general</td><td>False                                                                                                                                                    </td></tr><tr><td> show_sixel_trial_index_result</td><td>False                                                                                                                                                    </td></tr><tr><td> follow</td><td>False                                                                                                                                                    </td></tr><tr><td> send_anonymized_usage_stats</td><td>True                                                                                                                                                     </td></tr><tr><td> ui_url</td><td>None                                                                                                                                                     </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                                                           </td></tr><tr><td> exclude</td><td>None                                                                                                                                                     </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                                                        </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                                                        </td></tr><tr><td> max_nr_of_zero_results</td><td>10                                                                                                                                                       </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                                                    </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                                                     </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                                                    </td></tr><tr><td> live_share</td><td>True                                                                                                                                                     </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                                                    </td></tr><tr><td> workdir</td><td>False                                                                                                                                                    </td></tr><tr><td> max_parallelism</td><td>max_eval_times_thousand_plus_thousand                                                                                                                    </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                                                   </td></tr><tr><td> result_names</td><td>[&#039;ACCURACY=max&#039;, &#039;RUNTIME=min&#039;]                                                                                                                          </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                                                        </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                                                     </td></tr><tr><td> generate_all_jobs_at_once</td><td>True                                                                                                                                                     </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                                                     </td></tr><tr><td> load_data_from_existing_jobs</td><td>[]                                                                                                                                                       </td></tr><tr><td> num_parallel_jobs</td><td>30                                                                                                                                                       </td></tr><tr><td> worker_timeout</td><td>60                                                                                                                                                       </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                                                    </td></tr><tr><td> time</td><td>1440                                                                                                                                                     </td></tr><tr><td> partition</td><td>romeo                                                                                                                                                    </td></tr><tr><td> reservation</td><td>None                                                                                                                                                     </td></tr><tr><td> force_local_execution</td><td>False                                                                                                                                                    </td></tr><tr><td> slurm_signal_delay_s</td><td>0                                                                                                                                                        </td></tr><tr><td> nodes_per_job</td><td>1                                                                                                                                                        </td></tr><tr><td> cpus_per_task</td><td>1                                                                                                                                                        </td></tr><tr><td> account</td><td>None                                                                                                                                                     </td></tr><tr><td> gpus</td><td>0                                                                                                                                                        </td></tr><tr><td> run_mode</td><td>local                                                                                                                                                    </td></tr><tr><td> verbose</td><td>False                                                                                                                                                    </td></tr><tr><td> verbose_break_run_search_table</td><td>False                                                                                                                                                    </td></tr><tr><td> debug</td><td>False                                                                                                                                                    </td></tr><tr><td> no_sleep</td><td>False                                                                                                                                                    </td></tr><tr><td> tests</td><td>False                                                                                                                                                    </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False                                                                                                                                                    </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False                                                                                                                                                    </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False                                                                                                                                                    </td></tr><tr><td> raise_in_eval</td><td>False                                                                                                                                                    </td></tr><tr><td> show_ram_every_n_seconds</td><td>False                                                                                                                                                    </td></tr></tbody></table>
			<h1>&nbsp;Worker-Usage</h1>
			<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
<pre id="pre_tab_worker_usage">1743610584.186408,30,0,0
1743610584.3597002,30,0,0
1743610584.454067,30,0,0
1743610584.5051534,30,0,0
1743610584.5187886,30,0,0
1743610585.3568823,30,0,0
1743610585.9584463,30,0,0
1743610586.5880902,30,0,0
1743610587.230385,30,0,0
1743610587.8979738,30,0,0
1743610588.52271,30,0,0
1743610589.1782715,30,0,0
1743610589.836799,30,0,0
1743610590.4743438,30,0,0
1743610591.0029616,30,0,0
1743610591.417027,30,0,0
1743610592.0910015,30,0,0
1743610592.7648456,30,0,0
1743610593.315381,30,0,0
1743610593.727706,30,0,0
1743610594.288032,30,0,0
1743610594.7029848,30,0,0
1743610595.1202035,30,0,0
1743610595.562784,30,0,0
1743610595.9888108,30,0,0
1743610596.4151902,30,0,0
1743610596.8463683,30,0,0
1743610597.2856865,30,0,0
1743610597.73508,30,0,0
1743610598.1866477,30,0,0
1743610598.6408627,30,0,0
1743610599.098448,30,0,0
1743610599.558689,30,0,0
1743610600.0272303,30,0,0
1743610600.6289883,30,0,0
1743610600.9821205,30,0,0
1743610603.0125756,30,1,3
1743610603.0978403,30,1,3
1743610603.4479465,30,1,3
1743610606.972853,30,2,7
1743610606.9956682,30,2,7
1743610607.5309346,30,2,7
1743610610.1436825,30,3,10
1743610610.1670976,30,3,10
1743610610.7173176,30,3,10
1743610613.0546274,30,4,13
1743610613.0730777,30,4,13
1743610613.4216664,30,4,13
1743610615.5093074,30,5,17
1743610615.5234613,30,5,17
1743610615.863491,30,5,17
1743610618.7500255,30,6,20
1743610618.7646844,30,6,20
1743610619.1156957,30,6,20
1743610621.0458918,30,7,23
1743610621.0608559,30,7,23
1743610621.4243937,30,7,23
1743610623.3397982,30,8,27
1743610623.3544521,30,8,27
1743610623.7077403,30,8,27
1743610625.7182157,30,9,30
1743610625.7395036,30,9,30
1743610626.2702248,30,9,30
1743610628.8680675,30,10,33
1743610628.893345,30,10,33
1743610629.463772,30,10,33
1743610632.1491985,30,11,37
1743610632.170407,30,11,37
1743610632.5810618,30,11,37
1743610634.9102895,30,12,40
1743610634.9326808,30,12,40
1743610635.2759492,30,12,40
1743610637.1437569,30,13,43
1743610637.1646726,30,13,43
1743610637.5078065,30,13,43
1743610639.408211,30,14,47
1743610639.423128,30,14,47
1743610639.7648308,30,14,47
1743610642.617772,30,15,50
1743610642.6334429,30,15,50
1743610642.9946942,30,15,50
1743610645.1508331,30,16,53
1743610645.172491,30,16,53
1743610645.7091448,30,16,53
1743610648.3549304,30,17,57
1743610648.3813906,30,17,57
1743610648.9508872,30,17,57
1743610651.6779451,30,18,60
1743610651.6932464,30,18,60
1743610652.0357819,30,18,60
1743610653.903696,30,19,63
1743610653.9181721,30,19,63
1743610654.2623355,30,19,63
1743610656.2349355,30,20,67
1743610656.2496827,30,20,67
1743610656.5942783,30,20,67
1743610658.4654634,30,21,70
1743610658.4831722,30,21,70
1743610658.82465,30,21,70
1743610660.7230546,30,22,73
1743610660.737875,30,22,73
1743610661.1155002,30,22,73
1743610663.2340612,30,23,77
1743610663.2553072,30,23,77
1743610663.7972944,30,23,77
1743610666.4712648,30,24,80
1743610666.496161,30,24,80
1743610667.05926,30,24,80
1743610669.8116853,30,25,83
1743610669.826159,30,25,83
1743610670.1698427,30,25,83
1743610672.1111853,30,26,87
1743610672.1259518,30,26,87
1743610672.469885,30,26,87
1743610674.904256,30,27,90
1743610674.9196978,30,27,90
1743610675.262489,30,27,90
1743610677.169797,30,28,93
1743610677.1844897,30,28,93
1743610677.527936,30,28,93
1743610679.4236207,30,29,97
1743610679.4383662,30,29,97
1743610679.7792141,30,29,97
1743610681.8526878,30,30,100
1743610697.3347328,30,30,100
1743610697.571119,30,30,100
1743610711.7403758,30,30,100
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;CPU/RAM-Usage (main)</h1>
			<div class='invert_in_dark_mode' id='mainWorkerCPURAM'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1743610577,576.90625,38.3
1743610584,577.1640625,38.5
1743610584,577.1640625,38.6
1743610584,577.1640625,38.6
1743610584,577.1640625,40.9
1743610584,577.1640625,38.6
1743610584,577.1640625,40.0
1743610712,590.91796875,38.4
1743610712,590.91796875,39.0
1743610712,590.91796875,38.5
1743610712,590.91796875,34.0
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
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