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)	32

Name	Type	Lower bound	Upper bound	Type	Log Scale?
recent_samples_size	range	10	4000	int	No
n_samples	range	100	1000	int	No
n_clusters	range	1	4	int	No
threshold	range	0.002	0.07	float	No

Failed	Succeeded	Running	Total
54	256	20	330

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	SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME
mem_gb	32
parameter	[['recent_samples_size', 'range', '10', '4000', 'int'], ['n_samples', 'range', '100', '1000', 'int'], ['n_clusters', 'range', '1', '4', 'int'],
	['threshold', 'range', '0.002', '0.07', 'float']]
continue_previous_job	None
maximize	False
experiment_constraints	None
stderr_to_stdout	False
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	50
disable_search_space_exhaustion_detection	False
abbreviate_job_names	False
orchestrator_file	None
checkout_to_latest_tested_version	False
live_share	False
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
num_parallel_jobs	30
worker_timeout	30
slurm_use_srun	False
time	1260
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

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				font-size: 1.5em;
			}
			
			#main_tab {
				overflow: scroll;
				width: max-content;
			}
			
			.ui-tabs .ui-tabs-nav li {
				user-select: none;
			}
			
			.stacktrace_table {
				background-color: black !important;
				color: white !important;
			}
			
			#breadcrumb {
				user-select: none;
			}
			
			#statusBar {
				user-select: none;
			}
			
			.error_line {
				background-color: red !important;
				color: white !important;
			}
			
			.header_table {
				border: 0px !important;
				padding: 0px !important;
				width: revert !important;
				min-width: revert !important;
			}
			
			.img_auto_width {
				max-width: revert !important;
			}
			
			#main_dir_or_plot_view {
				display: inline-grid;
			}
			
			#refresh_button {
				width: 300px;
			}
			
			._share_link {
				color: black !important;
			}
			
			#footer_element {
				height: 30px;
				background-color: #f8f9fa;
				padding: 0px;
				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 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			}
			
			: :-webkit-scrollbar-button: vertical: end{
				height: 17px;
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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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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 157 n_samples 888 n_clusters 4 threshold 0.061776309520006185",
			        157,
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			        1807,
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			        3005,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 208 n_samples 409 n_clusters 3 threshold 0.04760202453657985",
			        208,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 1042 n_samples 925 n_clusters 1 threshold 0.028275804687291385",
			        1042,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 585 n_samples 636 n_clusters 4 threshold 0.043802842605859045",
			        585,
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			        1131,
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			        3001,
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			        10,
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			        2016,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 2981 n_samples 757 n_clusters 4 threshold 0.06363361434539268",
			        2981,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 1157 n_samples 853 n_clusters 1 threshold 0.06424658223152614",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 798 n_samples 657 n_clusters 1 threshold 0.014085773029881116",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 1011 n_samples 787 n_clusters 4 threshold 0.03143655183272537",
			        1011,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 920 n_samples 100 n_clusters 1 threshold 0.002",
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			        3832,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 3166 n_samples 120 n_clusters 1 threshold 0.01623239552423793",
			        3166,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 1097 n_samples 126 n_clusters 4 threshold 0.06451424428817117",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 1775 n_samples 224 n_clusters 4 threshold 0.06197487050256662",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 3772 n_samples 103 n_clusters 4 threshold 0.056559806492179635",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 1511 n_samples 113 n_clusters 4 threshold 0.060492183616153765",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 1385 n_samples 100 n_clusters 1 threshold 0.010365976277071757",
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			        1806,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 1888 n_samples 100 n_clusters 1 threshold 0.039367423641450586",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 3822 n_samples 743 n_clusters 3 threshold 0.03805964680016041",
			        3822,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 10 n_samples 289 n_clusters 4 threshold 0.00928263404520146",
			        10,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 2489 n_samples 1000 n_clusters 4 threshold 0.06449352790859057",
			        2489,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 1396 n_samples 100 n_clusters 4 threshold 0.014002255256994072",
			        1396,
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			        2146,
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			        2211,
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			        2349,
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			        345,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 88 n_samples 100 n_clusters 1 threshold 0.07",
			        88,
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			        461,
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			        2289,
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			        590,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 352 n_samples 100 n_clusters 1 threshold 0.07",
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			        4000,
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			        960,
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			        3144,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 835 n_samples 100 n_clusters 2 threshold 0.03833483475124197",
			        835,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 2977 n_samples 100 n_clusters 4 threshold 0.04147315706999275",
			        2977,
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			        3104,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 1091 n_samples 100 n_clusters 1 threshold 0.07",
			        1091,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 935 n_samples 100 n_clusters 2 threshold 0.07",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 3947 n_samples 100 n_clusters 1 threshold 0.01981491825759101",
			        3947,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 3516 n_samples 100 n_clusters 3 threshold 0.02917299252833157",
			        3516,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 1176 n_samples 510 n_clusters 1 threshold 0.025713756300454495",
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			        2114,
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			        2818,
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			        1790,
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			        3579,
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			        3723,
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			        3733,
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			        1080,
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			        3534,
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			        405,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 4000 n_samples 1000 n_clusters 3 threshold 0.048339577688222314",
			        4000,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 2726 n_samples 1000 n_clusters 2 threshold 0.02170851964118155",
			        2726,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 3289 n_samples 522 n_clusters 3 threshold 0.06324179850527957",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 615 n_samples 551 n_clusters 4 threshold 0.02577446412637318",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 364 n_samples 343 n_clusters 2 threshold 0.020406284610427913",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 397 n_samples 470 n_clusters 2 threshold 0.027785626876103874",
			        397,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 2416 n_samples 100 n_clusters 4 threshold 0.05407207511109931",
			        2416,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 4000 n_samples 1000 n_clusters 3 threshold 0.035103467408584416",
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			        1728,
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			        3866,
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			        831,
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			        1711,
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			        1626,
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			        1757,
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			        295,
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			        947,
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			        1197,
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			        3515,
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			        2615,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 3397 n_samples 223 n_clusters 3 threshold 0.060429481001747595",
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			        3414,
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			        3380,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier SPLL recent_samples_size 3969 n_samples 313 n_clusters 4 threshold 0.07",
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			        3712,
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			        30,
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			        30,
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			        30,
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			    [
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			        30,
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			        43
			    ],
			    [
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			        30,
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			        43
			    ],
			    [
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			        30,
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			        43
			    ],
			    [
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			        30,
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			        47
			    ],
			    [
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			        30,
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			        47
			    ],
			    [
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			        30,
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			    ],
			    [
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			        30,
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			        50
			    ],
			    [
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			        30,
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			        50
			    ],
			    [
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			        30,
			        15,
			        50
			    ],
			    [
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			        30,
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			        53
			    ],
			    [
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			        30,
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			    [
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			        30,
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			        30,
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			    [
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			    [
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			    [
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			    [
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			        30,
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			    [
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			    [
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			    [
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			        30,
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			    [
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			        30,
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			    ],
			    [
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			        30,
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			    [
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			    [
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			        30,
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			    ],
			    [
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			        30,
			        25,
			        83
			    ],
			    [
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			        30,
			        24,
			        80
			    ],
			    [
			        1741859117.3038342,
			        30,
			        24,
			        80
			    ],
			    [
			        1741859133.2548096,
			        30,
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			        77
			    ],
			    [
			        1741859135.9778247,
			        30,
			        22,
			        73
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1741786046,
			        597.671875,
			        24
			    ],
			    [
			        1741786046,
			        597.74609375,
			        23
			    ],
			    [
			        1741786047,
			        597.91015625,
			        22.7
			    ],
			    [
			        1741786047,
			        597.91015625,
			        26
			    ],
			    [
			        1741786047,
			        597.91015625,
			        25
			    ],
			    [
			        1741786047,
			        597.91015625,
			        22.6
			    ],
			    [
			        1741786047,
			        597.91015625,
			        18.6
			    ],
			    [
			        1741786112,
			        610.921875,
			        23.5
			    ],
			    [
			        1741786112,
			        610.921875,
			        23.1
			    ],
			    [
			        1741786112,
			        610.921875,
			        23.8
			    ],
			    [
			        1741786112,
			        610.921875,
			        26.5
			    ],
			    [
			        1741815448,
			        698.9375,
			        23.7
			    ],
			    [
			        1741815448,
			        698.9375,
			        26.8
			    ],
			    [
			        1741815448,
			        698.9375,
			        26.6
			    ],
			    [
			        1741815448,
			        698.9375,
			        20.6
			    ],
			    [
			        1741824819,
			        708.11328125,
			        26.5
			    ],
			    [
			        1741824819,
			        708.11328125,
			        22.8
			    ],
			    [
			        1741824819,
			        708.11328125,
			        23.8
			    ],
			    [
			        1741824819,
			        708.11328125,
			        24.8
			    ],
			    [
			        1741831589,
			        714.1015625,
			        23.4
			    ],
			    [
			        1741831589,
			        714.1015625,
			        22.2
			    ],
			    [
			        1741831589,
			        714.1015625,
			        21.2
			    ],
			    [
			        1741831589,
			        714.1015625,
			        27.1
			    ],
			    [
			        1741836640,
			        720.10546875,
			        23
			    ],
			    [
			        1741836640,
			        720.10546875,
			        21.3
			    ],
			    [
			        1741836640,
			        720.10546875,
			        20.9
			    ],
			    [
			        1741836640,
			        720.10546875,
			        30.8
			    ],
			    [
			        1741840942,
			        711.75,
			        23.6
			    ],
			    [
			        1741840942,
			        711.75,
			        21.8
			    ],
			    [
			        1741840942,
			        711.75,
			        21.8
			    ],
			    [
			        1741840942,
			        711.75,
			        21.7
			    ],
			    [
			        1741844792,
			        776.02734375,
			        24.7
			    ],
			    [
			        1741844792,
			        776.02734375,
			        31
			    ],
			    [
			        1741844792,
			        776.02734375,
			        30.9
			    ],
			    [
			        1741844792,
			        776.02734375,
			        19.4
			    ],
			    [
			        1741848228,
			        730.6875,
			        24.7
			    ],
			    [
			        1741848228,
			        730.6875,
			        28.1
			    ],
			    [
			        1741848228,
			        730.6875,
			        21.8
			    ],
			    [
			        1741848228,
			        730.6875,
			        17.6
			    ],
			    [
			        1741851813,
			        738.7265625,
			        23.7
			    ],
			    [
			        1741851813,
			        738.7265625,
			        23.8
			    ],
			    [
			        1741851813,
			        738.7265625,
			        24.3
			    ],
			    [
			        1741851813,
			        738.7265625,
			        29.5
			    ],
			    [
			        1741854756,
			        770.421875,
			        23.6
			    ],
			    [
			        1741854756,
			        770.421875,
			        21.2
			    ],
			    [
			        1741854756,
			        770.421875,
			        22.7
			    ],
			    [
			        1741854756,
			        770.421875,
			        20.6
			    ],
			    [
			        1741859137,
			        803.29296875,
			        23.3
			    ],
			    [
			        1741859137,
			        803.29296875,
			        21.9
			    ],
			    [
			        1741859137,
			        803.29296875,
			        21.6
			    ],
			    [
			        1741859137,
			        803.29296875,
			        26.8
			    ]
			];
			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" :
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			function _colorize_table_entries_by_run_time() {
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				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
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					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
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			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
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			function _colorize_table_entries_by_generation_node_or_hostname() {
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						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
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				}, 300);
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			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
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				add_colorize_to_gridjs_table();
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			$(document).ready(function() {
				colorize_table_entries();;
				plotWorkerUsage();;
				plotCPUAndRAMUsage();;
				createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names);;
				plotScatter2d();;
				plotScatter3d();
				plotJobStatusDistribution();;
				plotBoxplot();;
				plotViolin();;
				plotHistogram();;
				plotHeatmap();;
				plotResultPairs();;
				plotResultEvolution();

				colorize_table_entries();
			});
		</script>

					<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>32              </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>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>range</td><td>10</td><td>4000</td><td>int</td><td>No         </td></tr><tr><td> n_samples</td><td>range</td><td>100</td><td>1000</td><td>int</td><td>No         </td></tr><tr><td> n_clusters</td><td>range</td><td>1</td><td>4</td><td>int</td><td>No         </td></tr><tr><td> threshold</td><td>range</td><td>0.002</td><td>0.07</td><td>float</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>54</td>
			<td>256</td>
			<td>20</td>
			<td>330</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>
			
			<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,ACCURACY,RUNTIME,recent_samples_size,n_samples,n_clusters,threshold
0,0_0,FAILED,Sobol,GenerationStep_0,,,1147,755,4,0.053235173940658575553186437901
1,1_0,FAILED,Sobol,GenerationStep_0,,,3932,388,1,0.031600352946668866516155560475
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.630478589420654933483945114858,21.649602413177490234375000000000,2832,932,3,0.046137235309928657789324546457
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.702686817800167951020284817787,30.954931020736694335937500000000,110,124,2,0.004561348129063844472619315695
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.614441645675902647916188925592,24.064733505249023437500000000000,729,806,1,0.018843375127762559961830390876
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.697397145256087314102444452146,44.444267034530639648437500000000,2461,223,4,0.040487015131860974725963586707
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.624349286314021867383416974917,39.979636430740356445312500000000,3311,657,2,0.025808987822383645804880103469
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.658018471872376164988338587136,50.605233669281005859375000000000,1516,515,3,0.067392657745629552801247541538
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.602686817800167973224745310290,55.858622074127197265625000000000,1947,972,2,0.040186123210936786076530324863
9,9_0,FAILED,Sobol,GenerationStep_0,,,3239,199,3,0.010582042094320060279799555758
10,10_0,FAILED,Sobol,GenerationStep_0,,,2031,666,1,0.063900222335010775642771818639
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.665407220822837985885200851044,62.141145467758178710937500000000,801,362,4,0.020731095086783168923716402787
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.637111670864819457094085919380,23.883225917816162109375000000000,424,568,3,0.031826635617762805141595094938
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.627539882451721209299932979775,32.951613426208496093750000000000,2659,489,2,0.061438499983400111925657682832
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.598572628043660737162667828670,39.075103521347045898437500000000,3618,845,4,0.007979238126426934502033461172
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.704701931150293892081037938624,66.864294528961181640625000000000,1320,298,1,0.051157184194773441809900305088
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.586901763224181305389492990798,33.271307468414306640625000000000,1429,886,3,0.023682876192033290585481353219
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.679513014273719573310472696903,89.776804924011230468750000000000,3633,286,2,0.069514734372496611580771741501
18,18_0,FAILED,Sobol,GenerationStep_0,,,2613,584,4,0.016719875730574131067474041856
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.649622166246851429072250994068,30.535118579864501953125000000000,346,445,1,0.042614808678627019711271373126
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.635012594458438273115064021113,32.357489109039306640625000000000,972,711,2,0.048262957714498046224438354557
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.614189756507136808139080130786,30.631264209747314453125000000000,2233,346,3,0.002439919874072074730542158960
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.613769941225860593547736243636,123.213453769683837890625000000000,3005,984,1,0.055359322406351572920524262145
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.722670025188916875791278471297,136.784440517425537109375000000000,1807,159,4,0.029472170174121861685456735813
24,24_0,FAILED,Sobol,GenerationStep_0,,,1750,617,1,0.010103539913892746124335353386
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.658186397984886650824876141996,50.505812168121337890625000000000,3451,526,4,0.049028620429337033126415690276
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.534005037783375269277996721939,14.078740119934082031250000000000,2290,790,2,0.033952463403344158854313405982
27,27_0,FAILED,Sobol,GenerationStep_0,,,526,267,3,0.059316674523055556988992975676
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.519143576826196495588305879210,10.571959733963012695312500000000,157,888,4,0.061776309520006185416196586857
29,29_0,FAILED,Sobol,GenerationStep_0,,,2910,141,1,0.022859010227024557926345238457
30,30_0,COMPLETED,Sobol,GenerationStep_0,0.645927791771620518623819862114,54.281086683273315429687500000000,3822,743,3,0.038059646800160412682956234676
31,31_0,COMPLETED,Sobol,GenerationStep_0,0.676910159529806931821838134056,46.081361532211303710937500000000,1131,428,2,0.012704256527125836612190923347
32,32_0,COMPLETED,Sobol,GenerationStep_0,0.600083963056255220713808284927,26.039476394653320312500000000000,1042,925,1,0.028275804687291385131064913594
33,33_0,COMPLETED,Sobol,GenerationStep_0,0.736523929471032734461743984866,175.663062095642089843750000000000,3772,103,4,0.056559806492179634518358000150
34,34_0,COMPLETED,Sobol,GenerationStep_0,0.606045340050377800977798870008,32.194593429565429687500000000000,3001,762,2,0.003096734706312418133195007997
35,35_0,COMPLETED,Sobol,GenerationStep_0,0.656591099916036924355466908310,22.764439105987548828125000000000,208,409,3,0.047602024536579849722794932632
36,36_0,COMPLETED,Sobol,GenerationStep_0,0.640050377833753181278098054463,28.172219991683959960937500000000,585,636,4,0.043802842605859045044258692769
37,37_0,COMPLETED,Sobol,GenerationStep_0,0.608312342569269470793358323135,26.059734106063842773437500000000,2372,508,1,0.015527659621089697980500510255
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.736356003358522248625206430006,125.957237005233764648437500000000,920,100,1,0.002000000000000000041633363423
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.690260285474391221960388520529,182.107280015945434570312500000000,1806,136,3,0.044687272623562875051295151252
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.730982367758186368789097286935,160.117514133453369140625000000000,1511,113,4,0.060492183616153764880163379303
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.629219143576826178687610990892,28.975852251052856445312500000000,2981,757,4,0.063633614345392677802415448696
42,42_0,FAILED,BoTorch,GenerationStep_1,,,1994,100,4,0.009287252615553459947350667392
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.739210747271200618868647325144,227.679211854934692382812500000000,1888,100,1,0.039367423641450585702905584640
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.698992443324937040571853685833,121.733443737030029296875000000000,1775,224,4,0.061974870502566621610629482575
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.644416456759026035072679405857,30.209562778472900390625000000000,490,555,1,0.035144619140485215680325126186
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.623761544920235055933233070391,272.612721920013427734375000000000,2489,1000,4,0.064493527908590572716995836799
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.737783375314861489258078108833,1025.789339542388916015625000000000,1396,100,4,0.014002255256994071766496468001
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.738958858102434890113840992854,177.416844129562377929687500000000,1385,100,1,0.010365976277071756866954288512
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.591183879093199027288108027278,11.758532762527465820312500000000,2003,119,4,0.058165427358556169579184569329
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.600335852225020949468614617217,30.449820280075073242187500000000,1011,787,4,0.031436551832725367905396751667
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.742065491183879100134390682797,120.135981082916259765625000000000,1097,126,4,0.064514244288171165853107424937
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.632493702770780874544698235695,15.547778367996215820312500000000,10,100,4,0.002000000000000000041633363423
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.606549118387909369509713997104,32.685039043426513671875000000000,1157,853,1,0.064246582231526142003907864364
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.650713685978169587009745100659,17.508861541748046875000000000000,2016,100,1,0.061674999964146957898147860533
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.723173803526448333300891135877,66.475184679031372070312500000000,458,117,1,0.037130575284074748831919521308
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.726448362720403029157978380681,119.368453502655029296875000000000,3166,120,1,0.016232395524237931000444135066
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.611502938706968923732176790509,31.711657524108886718750000000000,798,657,1,0.014085773029881116027994814033
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.694458438287153700940734779579,98.947156667709350585937500000000,3832,253,4,0.006785674881934116234316611838
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.581444164567590293657417532813,166.577702045440673828125000000000,10,289,4,0.009282634045201460307183971565
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.741729638958858128461315573077,125.650322198867797851562500000000,960,100,1,0.048157882763181121543727414291
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.734340890008396307564453309169,37.118132591247558593750000000000,2146,120,4,0.029780094163397295703443745651
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.708816120906801017120812957728,50.356266498565673828125000000000,2211,100,2,0.067223361102173834202844204810
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.733585222502099121300034312299,89.864111423492431640625000000000,590,100,3,0.062237840728874400941794675646
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.735936188077246034033862542856,63.714724302291870117187500000000,345,100,3,0.070000000000000006661338147751
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.743240973971452612012456029333,136.889634847640991210937500000000,3144,100,4,0.031194560082303066789188861208
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.725356842989084760198181811575,64.776439428329467773437500000000,2349,100,1,0.052032573531362043273151840594
67,67_0,FAILED,BoTorch,GenerationStep_1,,,761,100,1,0.070000000000000006661338147751
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.724349286314021845178956482414,187.252900600433349609375000000000,3703,100,1,0.020701058678386702327500756837
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.746011754827875739337628147041,179.452647447586059570312500000000,3409,100,4,0.002000000000000000041633363423
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.732493702770780852340237743192,79.279480457305908203125000000000,461,100,4,0.036312052807745145988072010823
71,71_0,FAILED,BoTorch,GenerationStep_1,,,2643,100,3,0.004280909428701558903929136335
72,72_0,FAILED,BoTorch,GenerationStep_1,,,739,100,4,0.070000000000000006661338147751
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.729303106633081399401419275819,144.258300304412841796875000000000,3104,100,4,0.002000000000000000041633363423
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.756842989084802741928115210612,212.045150995254516601562500000000,3947,100,1,0.019814918257591008360352091699
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.720235096557514720139181463310,143.193868160247802734375000000000,1091,100,1,0.070000000000000006661338147751
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.709571788413098203385231954599,30.245741367340087890625000000000,88,100,1,0.070000000000000006661338147751
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.742401343408900071807465792517,111.802560329437255859375000000000,835,100,2,0.038334834751241969597046477247
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.736943744752308949053087872016,118.982559680938720703125000000000,2977,100,4,0.041473157069992751255771423757
79,79_0,FAILED,BoTorch,GenerationStep_1,,,3271,100,1,0.070000000000000006661338147751
80,80_0,FAILED,BoTorch,GenerationStep_1,,,4000,100,1,0.070000000000000006661338147751
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.733417296389588635463496757438,56.514358043670654296875000000000,2289,100,4,0.070000000000000006661338147751
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.745927791771620496419359369611,69.415619850158691406250000000000,352,100,1,0.070000000000000006661338147751
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.660705289672544049395241927414,75.833266019821166992187500000000,4000,425,1,0.054161752231571901050610762240
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.738371116708648189685959550843,95.115717172622680664062500000000,2638,100,1,0.002000000000000000041633363423
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.732241813602015123585431410902,147.020127534866333007812500000000,3183,125,4,0.067563775480726950828369581359
86,86_0,FAILED,BoTorch,GenerationStep_1,,,3382,100,4,0.025878760415897900104553741585
87,87_0,FAILED,BoTorch,GenerationStep_1,,,1068,100,1,0.031159469962740785065058446435
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.727455919395465944177203709842,185.213169574737548828125000000000,3516,100,3,0.029172992528331571221444917796
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.737699412258606246339809331403,132.902512550354003906250000000000,935,100,2,0.070000000000000006661338147751
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.644836272040302249664023293008,25.796784162521362304687500000000,22,100,1,0.040488752423169349636822289540
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.660201511335012591885629262833,16.153846025466918945312500000000,2075,237,1,0.070000000000000006661338147751
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.632493702770780874544698235695,14.850219011306762695312500000000,10,100,3,0.070000000000000006661338147751
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.642737195633921065685001394741,45.531082630157470703125000000000,1176,510,1,0.025713756300454495423712941715
94,94_0,FAILED,BoTorch,GenerationStep_1,,,2773,100,1,0.043341420462778043609652911528
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.751553316540722105010274844972,117.218233346939086914062500000000,2581,100,4,0.002866873870178461222724131119
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.723425692695214062055697468168,60.868567466735839843750000000000,341,100,3,0.002000000000000000041633363423
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.724433249370277088097225259844,75.248758554458618164062500000000,419,100,1,0.002000000000000000041633363423
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.585474391267842175778923774487,15.037364959716796875000000000000,2056,379,4,0.034729078500988733169130284750
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.563140218303946227251799427904,11.212308883666992187500000000000,46,430,2,0.070000000000000006661338147751
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.640973971452560853379054606194,1176.371546506881713867187500000000,2706,440,3,0.028747806312865858968663701489
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.720738874895046177648794127890,54.229730844497680664062500000000,138,100,2,0.042097590741127496882789671417
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.632493702770780874544698235695,13.676559209823608398437500000000,10,100,4,0.070000000000000006661338147751
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.736775818639798463216550317156,112.920780420303344726562500000000,2674,100,2,0.029956924155870739284734938224
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.730730478589420640034290954645,57.868330240249633789062500000000,2278,100,1,0.002000000000000000041633363423
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.653064651553316499743573331216,24.264663934707641601562500000000,355,451,4,0.070000000000000006661338147751
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.586649874055415576634686658508,14.768471240997314453125000000000,2114,391,1,0.070000000000000006661338147751
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.732577665827036095258506520622,137.060524463653564453125000000000,3112,100,1,0.070000000000000006661338147751
108,108_0,FAILED,BoTorch,GenerationStep_1,,,2913,567,3,0.035604382486732165380427517221
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.644836272040302249664023293008,557.371566772460937500000000000000,2022,100,4,0.002000000000000000041633363423
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.746179680940386225174165701901,99.769695758819580078125000000000,2670,100,2,0.063530030806702275647523947555
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.545172124265323243541558895231,12.922486782073974609375000000000,10,304,3,0.070000000000000006661338147751
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.578337531486146083636867842870,12.704056978225708007812500000000,10,317,1,0.048788237047594933126770655463
113,113_0,FAILED,BoTorch,GenerationStep_1,,,2415,100,3,0.002000000000000000041633363423
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.653568429890848068275488458312,54.977694272994995117187500000000,3094,351,1,0.055767659510494567431937440460
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.594962216624685180654807936662,34.280101060867309570312500000000,2750,548,4,0.025954238640459183218300864837
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.645088161209067978418829625298,17.263127803802490234375000000000,275,566,2,0.070000000000000006661338147751
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.632493702770780874544698235695,16.838399648666381835937500000000,10,100,3,0.043247722433088012228274976678
118,118_0,FAILED,BoTorch,GenerationStep_1,,,4000,100,4,0.002000000000000000041633363423
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.607640638119227527447208103695,39.480196237564086914062500000000,3082,610,4,0.029529124753838859734900168519
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.726868178001679243749322267831,142.019918203353881835937500000000,3094,118,3,0.054314714546905548675503894174
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.734928631402183007992334751179,209.575001239776611328125000000000,3992,100,3,0.023025980003508382532029230561
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.723425692695214062055697468168,202.499134063720703125000000000000,3579,100,2,0.012110938085171689057584210047
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.743240973971452612012456029333,81.663708686828613281250000000000,540,100,4,0.024499673904347849667795244955
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.618555835432409772955963944696,22.997274637222290039062500000000,2903,1000,3,0.054136522771472288251271010040
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.721662468513853849749750679621,151.204118967056274414062500000000,3269,100,1,0.041766720463048988276621997784
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.740554156171284616583250226540,93.480803728103637695312500000000,2632,100,3,0.057552866057433753332883696885
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.723089840470193090382622358447,61.010333061218261718750000000000,2323,100,2,0.002000000000000000041633363423
128,128_0,FAILED,BoTorch,GenerationStep_1,,,4000,100,2,0.002000000000000000041633363423
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.737447523089840517585002999112,233.705944061279296875000000000000,3733,100,2,0.040951517374314690134173844172
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.746263643996641468092434479331,213.645714759826660156250000000000,4000,100,3,0.011502897260602626058889619287
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.738203190596137703849421995983,198.627754926681518554687500000000,3734,100,3,0.054113079010006837066271145886
132,132_0,FAILED,BoTorch,GenerationStep_1,,,4000,100,2,0.019795060499101558432188951997
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.722082283795130175363397029287,183.324753046035766601562500000000,1524,100,3,0.002000000000000000041633363423
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.722334172963895904118203361577,214.703561544418334960937500000000,3723,100,3,0.002000000000000000041633363423
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.717800167926112564487084455322,54.020935058593750000000000000000,263,100,2,0.056818152497091246877491954592
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.703190596137699408529897482367,259.797936916351318359375000000000,3534,100,3,0.049293331374618012952204537669
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.729051217464315670646612943528,202.807666778564453125000000000000,1790,100,2,0.023670818645467318203090556494
138,138_0,FAILED,BoTorch,GenerationStep_1,,,1810,100,2,0.002000000000000000041633363423
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.740806045340050345338056558830,128.149426937103271484375000000000,2930,100,3,0.070000000000000006661338147751
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.741225860621326670951702908496,118.321893215179443359375000000000,797,100,3,0.019262818859752967731724382361
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.737531486146095760503271776543,91.622615814208984375000000000000,2290,102,2,0.011283780474168704499593474111
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.744752308984046984541294023074,125.650803089141845703125000000000,3015,106,2,0.046656146623014135843554583971
143,143_0,FAILED,BoTorch,GenerationStep_1,,,3176,100,3,0.002000000000000000041633363423
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.746263643996641468092434479331,227.576508283615112304687500000000,4000,100,2,0.030980800539162887258237688570
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.739546599496221701564024897380,130.188282251358032226562500000000,3391,140,3,0.054552870075633849711316258890
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.729219143576826156483150498389,189.695458412170410156250000000000,1080,100,3,0.034403612286395060526622557973
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.740890008396305588256325336260,110.336397886276245117187500000000,2818,100,3,0.002000000000000000041633363423
148,148_0,FAILED,BoTorch,GenerationStep_1,,,2504,100,3,0.070000000000000006661338147751
149,149_0,FAILED,BoTorch,GenerationStep_1,,,3526,100,2,0.002000000000000000041633363423
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.651049538203190558682820210379,42.559499025344848632812500000000,935,437,4,0.032045440177430231654120973417
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.741393786733837156788240463356,75.174552202224731445312500000000,439,100,4,0.070000000000000006661338147751
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.672544080604533967004954320146,68.867003202438354492187500000000,3585,416,3,0.064308135589790080266503480289
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.723341729638958819137428690738,72.915428638458251953125000000000,2416,100,4,0.054072075111099307531681290584
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.614105793450881565220811353356,29.412436723709106445312500000000,405,386,4,0.029010660149580487499054726186
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.739126784214945375950378547714,107.300128936767578125000000000000,831,100,2,0.002000000000000000041633363423
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.749958018471872378540865611285,187.953644275665283203125000000000,1626,100,3,0.070000000000000006661338147751
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.671368597816960566149191436125,78.063232898712158203125000000000,1644,318,2,0.056981855278126505859326300651
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.609487825356842982671423669672,36.678868293762207031250000000000,4000,1000,3,0.048339577688222314100219278998
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.729471032745591885237956830679,195.371420860290527343750000000000,1600,100,2,0.002000000000000000041633363423
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.674307304785894179310901108693,934.327998876571655273437500000000,295,191,2,0.020843219358802501234295689869
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.744332493702770769949950135924,213.219595909118652343750000000000,3978,100,1,0.070000000000000006661338147751
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.657262804366078978723919590266,47.826909065246582031250000000000,3289,522,3,0.063241798505279570030701563610
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.718219983207388779078428342473,159.374056339263916015625000000000,1757,154,4,0.041992445662516725279900242640
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.634928631402183030196795243683,27.939718723297119140625000000000,468,427,2,0.051504759038705626161824824294
165,165_0,FAILED,BoTorch,GenerationStep_1,,,3569,311,3,0.069230244798029971775576996151
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.631486146095717848503170444019,30.354262828826904296875000000000,364,343,2,0.020406284610427913306374136937
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.631738035264483577257976776309,19.582470655441284179687500000000,2726,1000,2,0.021708519641181551335096244770
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.578841309823677541146480507450,44.069260597229003906250000000000,4000,889,4,0.061834375713914320471520369438
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.669689336691855596761513425008,58.590073585510253906250000000000,1728,442,2,0.002000000000000000041633363423
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.746263643996641468092434479331,221.765336275100708007812500000000,4000,100,3,0.070000000000000006661338147751
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.593031066330814482512323593255,50.557362318038940429687500000000,3866,729,4,0.067013596820787571517463732107
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.609487825356842982671423669672,50.572006702423095703125000000000,4000,1000,3,0.035103467408584415609951179249
173,173_0,FAILED,BoTorch,GenerationStep_1,,,1617,100,2,0.053223050108984905348652461043
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.679513014273719573310472696903,55.693892002105712890625000000000,1554,461,2,0.063430752462283288006794634839
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.597313182199832093388636167219,29.037710428237915039062500000000,615,551,4,0.025774464126373179684303948989
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.653064651553316499743573331216,55.683563947677612304687500000000,1454,463,2,0.040351559043360879508455241194
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.633333333333333303727386009996,25.725860595703125000000000000000,397,470,2,0.027785626876103874244305913521
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.619731318219983173811726828717,54.015853166580200195312500000000,1711,543,2,0.052735945097234435130495455724
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.699412258606213255163197572983,93.647058725357055664062500000000,1780,246,2,0.048547853062434594140217569702
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.709068010075566745875619290018,106.687575101852416992187500000000,1400,178,1,0.060530163794326269366408155292
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.701007556675062981632606806670,123.494420766830444335937500000000,1722,202,1,0.002000000000000000041633363423
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.722753988245172118709547248727,87.353892087936401367187500000000,3397,223,3,0.060429481001747595292350467844
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.690764063811922790492303647625,83.996000528335571289062500000000,3370,255,3,0.002000000000000000041633363423
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.692695214105793488634787991032,71.263514041900634765625000000000,1197,278,4,0.046235341203747531979573182070
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.703778337531486108957778924378,65.563879728317260742187500000000,3378,356,2,0.007768121964927081173069023379
186,186_0,FAILED,BoTorch,GenerationStep_1,,,1443,339,4,0.049173406680359445231065507187
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.708732157850545774202544180298,721.159761190414428710937500000000,1237,219,1,0.036700502637231929847771993991
188,188_0,FAILED,BoTorch,GenerationStep_1,,,3391,230,2,0.002000000000000000041633363423
189,189_0,FAILED,BoTorch,GenerationStep_1,,,813,276,1,0.065384065931734694498977944477
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.696221662468513802224379105610,71.207336664199829101562500000000,3515,378,1,0.041340839017515770836830313328
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.714861460957178840303072320239,53.023996114730834960937500000000,2615,204,3,0.066935926770116227491058680243
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.705037783375314863754113048344,65.638628721237182617187500000000,947,282,3,0.047299353678301299386266265401
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.699244332493702769326660018123,794.457072496414184570312500000000,1263,215,2,0.061808835749723428643065403776
194,194_0,FAILED,BoTorch,GenerationStep_1,,,3408,291,1,0.002000000000000000041633363423
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.693954659949622132408819652483,78.480728149414062500000000000000,3264,303,3,0.057359487257268984561342506368
196,196_0,FAILED,BoTorch,GenerationStep_1,,,3898,171,1,0.002000000000000000041633363423
197,197_0,FAILED,BoTorch,GenerationStep_1,,,871,205,3,0.002000000000000000041633363423
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.709319899244332474630425622308,103.023568630218505859375000000000,3344,183,2,0.069902262590457439617175339208
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.629638958858102393278954878042,20.287616014480590820312500000000,434,637,3,0.032395621840963888249387281348
200,200_0,FAILED,BoTorch,GenerationStep_1,,,3384,258,3,0.053517661331475167851845498035
201,201_0,FAILED,BoTorch,GenerationStep_1,,,3995,296,2,0.041030188223777026845784376974
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.737111670864819434889625426877,141.023839712142944335937500000000,3838,169,1,0.057289811033634778503209616929
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.672628043660789209923223097576,67.727766513824462890625000000000,3414,333,1,0.039579960137532302355545255068
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.698236775818639743285132226447,93.363151788711547851562500000000,3969,313,4,0.070000000000000006661338147751
205,205_0,FAILED,BoTorch,GenerationStep_1,,,3914,100,1,0.057902736338953715578004022291
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.691771620486985705511528976785,76.494331121444702148437500000000,3712,346,1,0.005415053320909191114651548560
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.693450881612090674899206987902,70.101794958114624023437500000000,3380,311,1,0.020745101348826261444813212620
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.688832913518052092349819304218,113.388205766677856445312500000000,3958,270,4,0.026699210752888384579062375224
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.732157850545759880667162633472,138.839558124542236328125000000000,3918,171,2,0.002000000000000000041633363423
210,210_0,RUNNING,BoTorch,GenerationStep_1,,,645,1000,1,0.002000000000000000041633363423
211,211_0,RUNNING,BoTorch,GenerationStep_1,,,686,1000,4,0.070000000000000006661338147751
212,212_0,RUNNING,BoTorch,GenerationStep_1,,,812,1000,4,0.002000000000000000041633363423
213,213_0,RUNNING,BoTorch,GenerationStep_1,,,659,1000,1,0.070000000000000006661338147751
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.642233417296389608175388730160,538.479033708572387695312500000000,2672,1000,1,0.002000000000000000041633363423
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.699328295549958012244928795553,130.163015127182006835937500000000,1032,336,1,0.070000000000000006661338147751
216,216_0,RUNNING,BoTorch,GenerationStep_1,,,1735,1000,4,0.002000000000000000041633363423
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.592779177162048753757517260965,36.133212804794311523437500000000,3747,1000,1,0.002000000000000000041633363423
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.596137699412258581510570820683,31.514743089675903320312500000000,1704,1000,4,0.070000000000000006661338147751
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.668261964735516356128641746182,63.832457304000854492187500000000,989,289,4,0.070000000000000006661338147751
220,220_0,RUNNING,BoTorch,GenerationStep_1,,,2703,1000,1,0.070000000000000006661338147751
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.587237615449202388084870563034,696.525037527084350585937500000000,437,710,4,0.070000000000000006661338147751
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.661964735516372804191576051380,23.391094207763671875000000000000,393,673,1,0.070000000000000006661338147751
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.609655751469353468507961224532,31.531444311141967773437500000000,3279,1000,4,0.002000000000000000041633363423
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.614861460957178862507532812742,49.511202812194824218750000000000,3520,576,1,0.002000000000000000041633363423
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.590092359361880758328311458172,33.212978124618530273437500000000,1708,1000,1,0.002000000000000000041633363423
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.635768261964735570401785480499,43.174209833145141601562500000000,1050,444,1,0.070000000000000006661338147751
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.645424013434088950091904735018,51.256836652755737304687500000000,1036,389,4,0.070000000000000006661338147751
228,228_0,RUNNING,BoTorch,GenerationStep_1,,,2677,1000,4,0.002000000000000000041633363423
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.708228379513014316692931515718,63.122000932693481445312500000000,977,245,1,0.070000000000000006661338147751
230,230_0,RUNNING,BoTorch,GenerationStep_1,,,512,1000,4,0.002000000000000000041633363423
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.732577665827036095258506520622,110.110023736953735351562500000000,802,100,4,0.070000000000000006661338147751
232,232_0,FAILED,BoTorch,GenerationStep_1,,,459,785,1,0.002000000000000000041633363423
233,233_0,FAILED,BoTorch,GenerationStep_1,,,10,1000,1,0.070000000000000006661338147751
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.609487825356842982671423669672,33.715353012084960937500000000000,4000,1000,1,0.070000000000000006661338147751
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.584802686817800121410471092531,36.518786668777465820312500000000,3743,1000,4,0.070000000000000006661338147751
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.580688497061292996370696073427,29.330258846282958984375000000000,3524,1000,1,0.070000000000000006661338147751
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.621578505457598629035942394694,26.794835805892944335937500000000,3250,1000,4,0.070000000000000006661338147751
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.716876574307304781363825441076,69.932627439498901367187500000000,971,220,4,0.070000000000000006661338147751
239,239_0,FAILED,BoTorch,GenerationStep_1,,,365,1000,1,0.002000000000000000041633363423
240,240_0,FAILED,BoTorch,GenerationStep_1,,,2516,100,1,0.070000000000000006661338147751
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.702267002518891736428940930637,103.944171428680419921875000000000,1548,329,1,0.070000000000000006661338147751
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.664483627204030202761941836798,88.771131277084350585937500000000,1531,426,1,0.070000000000000006661338147751
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.716792611251049538445556663646,156.706603288650512695312500000000,3964,219,1,0.070000000000000006661338147751
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.668681780016792570719985633332,50.547967433929443359375000000000,1471,535,1,0.070000000000000006661338147751
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.617296389588581018159629820730,56.914808750152587890625000000000,3667,609,1,0.070000000000000006661338147751
246,246_0,RUNNING,BoTorch,GenerationStep_1,,,2736,1000,4,0.070000000000000006661338147751
247,247_0,FAILED,BoTorch,GenerationStep_1,,,3703,464,1,0.070000000000000006661338147751
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.694458438287153700940734779579,109.601187705993652343750000000000,1544,296,4,0.070000000000000006661338147751
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.696977329974811099511100564996,74.292723417282104492187500000000,348,144,1,0.070000000000000006661338147751
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.658354324097397136661413696856,76.557118654251098632812500000000,1506,413,4,0.070000000000000006661338147751
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.729303106633081399401419275819,105.035869836807250976562500000000,2559,100,4,0.070000000000000006661338147751
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.711586901763224144445985075436,105.239646434783935546875000000000,1564,239,1,0.070000000000000006661338147751
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.597397145256087336306904944649,38.122368097305297851562500000000,1070,1000,1,0.070000000000000006661338147751
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.585222502099076447024117442197,30.424304008483886718750000000000,353,583,1,0.070000000000000006661338147751
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.681947942905121728962569704890,109.544322967529296875000000000000,4000,311,1,0.070000000000000006661338147751
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.704450041981528163326231606334,159.741430997848510742187500000000,4000,161,1,0.070000000000000006661338147751
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.660789252728799292313510704844,65.960490465164184570312500000000,1542,418,1,0.002000000000000000041633363423
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.634844668345927787278526466253,303.179890871047973632812500000000,3427,576,4,0.070000000000000006661338147751
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.687405541561712851716947625391,68.121999025344848632812500000000,1536,376,1,0.070000000000000006661338147751
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.672460117548278724086685542716,52.593722581863403320312500000000,1490,481,4,0.070000000000000006661338147751
261,261_0,FAILED,BoTorch,GenerationStep_1,,,338,639,1,0.002000000000000000041633363423
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.671368597816960566149191436125,72.858303546905517578125000000000,1503,477,1,0.070000000000000006661338147751
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.739210747271200618868647325144,146.588146686553955078125000000000,800,100,1,0.070000000000000006661338147751
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.671956339210747266577072878135,403.954755067825317382812500000000,1539,363,4,0.070000000000000006661338147751
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.718975650713685965342847339343,46.313540935516357421875000000000,339,148,4,0.002000000000000000041633363423
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.631066330814441633911826556869,481.396730184555053710937500000000,2764,894,1,0.070000000000000006661338147751
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.680520570948782488329698026064,62.804496049880981445312500000000,1478,421,4,0.002000000000000000041633363423
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.647858942065491216766304205521,23.484092712402343750000000000000,829,1000,1,0.070000000000000006661338147751
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.656255247691015952682391798589,765.782931327819824218750000000000,1349,548,4,0.002000000000000000041633363423
270,270_0,RUNNING,BoTorch,GenerationStep_1,,,2428,100,1,0.070000000000000006661338147751
271,271_0,FAILED,BoTorch,GenerationStep_1,,,600,100,1,0.002000000000000000041633363423
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.733501259445843878381765534868,93.714421033859252929687500000000,2455,100,1,0.002000000000000000041633363423
273,273_0,FAILED,BoTorch,GenerationStep_1,,,940,289,4,0.002000000000000000041633363423
274,274_0,RUNNING,BoTorch,GenerationStep_1,,,2273,100,1,0.070000000000000006661338147751
275,275_0,RUNNING,BoTorch,GenerationStep_1,,,1600,670,1,0.070000000000000006661338147751
276,276_0,RUNNING,BoTorch,GenerationStep_1,,,3101,1000,4,0.002000000000000000041633363423
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.742653232577665800562272124807,98.640363454818725585937500000000,595,100,1,0.070000000000000006661338147751
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.740386230058774130746712671680,99.324552297592163085937500000000,683,100,4,0.070000000000000006661338147751
279,279_0,FAILED,BoTorch,GenerationStep_1,,,941,1000,4,0.002000000000000000041633363423
280,280_0,FAILED,BoTorch,GenerationStep_1,,,2309,255,4,0.070000000000000006661338147751
281,281_0,FAILED,BoTorch,GenerationStep_1,,,1622,100,1,0.070000000000000006661338147751
282,282_0,FAILED,BoTorch,GenerationStep_1,,,672,233,1,0.070000000000000006661338147751
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.672628043660789209923223097576,581.374557018280029296875000000000,2260,237,1,0.070000000000000006661338147751
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.636859781696053728339279587090,10.610365390777587890625000000000,2206,1000,1,0.070000000000000006661338147751
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.718219983207388779078428342473,82.756050109863281250000000000000,2515,100,1,0.070000000000000006661338147751
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.735852225020990791115593765426,72.154431819915771484375000000000,2404,100,4,0.002000000000000000041633363423
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.732577665827036095258506520622,35.938495874404907226562500000000,109,100,4,0.070000000000000006661338147751
288,288_0,RUNNING,BoTorch,GenerationStep_1,,,1642,525,1,0.070000000000000006661338147751
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.740470193115029373664981449110,69.423251867294311523437500000000,2371,100,4,0.070000000000000006661338147751
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.731486146095717937321012414031,122.869237184524536132812500000000,927,100,4,0.002000000000000000041633363423
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.622753988245172140914007741230,23.268310785293579101562500000000,925,1000,4,0.070000000000000006661338147751
292,292_0,FAILED,BoTorch,GenerationStep_1,,,2198,100,4,0.070000000000000006661338147751
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.736439966414777491543475207436,116.541702747344970703125000000000,2860,100,4,0.070000000000000006661338147751
294,294_0,FAILED,BoTorch,GenerationStep_1,,,3127,907,1,0.070000000000000006661338147751
295,295_0,FAILED,BoTorch,GenerationStep_1,,,567,100,4,0.002000000000000000041633363423
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.736020151133501276952131320286,145.725982427597045898437500000000,2989,100,1,0.002000000000000000041633363423
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.734592779177162036319259641459,116.427272319793701171875000000000,2893,100,1,0.070000000000000006661338147751
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.691183879093199005083647534775,84.764149904251098632812500000000,3204,267,1,0.002000000000000000041633363423
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.617884130982367718587511262740,25.568778514862060546875000000000,934,1000,1,0.002000000000000000041633363423
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.691351805205709490920185089635,31.813527107238769531250000000000,225,196,1,0.070000000000000006661338147751
301,301_0,RUNNING,BoTorch,GenerationStep_1,,,572,1000,1,0.070000000000000006661338147751
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.715449202350965540730953762250,52.514739036560058593750000000000,228,100,1,0.070000000000000006661338147751
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.750377833753148593132209498435,216.668509006500244140625000000000,3893,100,4,0.070000000000000006661338147751
304,304_0,RUNNING,BoTorch,GenerationStep_1,,,1338,580,1,0.070000000000000006661338147751
305,305_0,RUNNING,BoTorch,GenerationStep_1,,,761,1000,1,0.002000000000000000041633363423
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.742821158690176286398809679667,197.747880935668945312500000000000,1634,100,1,0.070000000000000006661338147751
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.723425692695214062055697468168,59.767640113830566406250000000000,262,100,4,0.070000000000000006661338147751
308,308_0,RUNNING,BoTorch,GenerationStep_1,,,235,208,4,0.070000000000000006661338147751
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.650461796809403858254938768368,29.042710065841674804687500000000,235,271,1,0.070000000000000006661338147751
310,310_0,RUNNING,BoTorch,GenerationStep_1,,,222,144,1,0.002000000000000000041633363423
311,311_0,RUNNING,BoTorch,GenerationStep_1,,,2571,1000,1,0.070000000000000006661338147751
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.746767422334172925602047143911,219.146789550781250000000000000000,3898,100,1,0.070000000000000006661338147751
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.737867338371116732176346886263,104.681298732757568359375000000000,719,100,1,0.002000000000000000041633363423
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.636356003358522270829666922509,20.808740615844726562500000000000,745,1000,1,0.070000000000000006661338147751
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.738623005877413918440765883133,98.350833892822265625000000000000,699,100,1,0.070000000000000006661338147751
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.649706129303106671990519771498,64.432494878768920898437500000000,1337,437,1,0.070000000000000006661338147751
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.608732157850545796407004672801,52.830413579940795898437500000000,1342,572,4,0.070000000000000006661338147751
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.637111670864819457094085919380,46.645083665847778320312500000000,1341,506,1,0.002000000000000000041633363423
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.648110831234256945521110537811,23.878043889999389648437500000000,260,355,1,0.070000000000000006661338147751
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.724685138539042816852031592134,39.907060384750366210937500000000,236,150,4,0.070000000000000006661338147751
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.709487825356842960466963177169,33.655467271804809570312500000000,238,217,1,0.002000000000000000041633363423
322,322_0,FAILED,BoTorch,GenerationStep_1,,,240,160,1,0.070000000000000006661338147751
323,323_0,FAILED,BoTorch,GenerationStep_1,,,605,1000,4,0.070000000000000006661338147751
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.627623845507976452218201757205,15.792714595794677734375000000000,2435,1000,1,0.070000000000000006661338147751
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.581444164567590293657417532813,8.690108060836791992187500000000,2120,1000,4,0.070000000000000006661338147751
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.680352644836272002493160471204,61.099827289581298828125000000000,3822,427,1,0.070000000000000006661338147751
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.567170445004198109373305669578,6.940081119537353515625000000000,2067,1000,1,0.070000000000000006661338147751
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.608816120906801039325273450231,15.327742815017700195312500000000,449,1000,1,0.070000000000000006661338147751
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.639042821158690155236570262787,17.606292724609375000000000000000,2522,1000,1,0.002000000000000000041633363423
</pre>
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			<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>
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			<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">
⚠ Job 3162957 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3162957/3162957_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3162957/3162957_0_log.out


⚠ Job 3162958 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3162958/3162958_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3162958/3162958_0_log.out


⚠ Job 3162979 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3162979/3162979_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3162979/3162979_0_log.out


⚠ Job 3162999 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3162999/3162999_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3162999/3162999_0_log.out


⚠ Job 3163015 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3163015/3163015_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3163015/3163015_0_log.out


⚠ Job 3163023 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3163023/3163023_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3163023/3163023_0_log.out


⚠ Job 3162977 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3162977/3162977_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3162977 ON i7005 CANCELLED AT 2025-03-12T22:19:06 DUE TO TIME LIMIT ***



⚠ Job 3163027 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3163027/3163027_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3163027 ON i7086 CANCELLED AT 2025-03-12T22:22:07 DUE TO TIME LIMIT ***



⚠ Job 3178856 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178856/3178856_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3178856/3178856_0_log.out


⚠ Job 3182911 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3182911/3182911_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3182911/3182911_0_log.out


⚠ Job 3182912 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3182912/3182912_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3182912/3182912_0_log.out


⚠ Job 3182926 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3182926/3182926_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3182926/3182926_0_log.out


⚠ Job 3182927 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3182927/3182927_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3182927/3182927_0_log.out


⚠ Job 3182907 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3182907/3182907_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3182907 ON i7051 CANCELLED AT 2025-03-13T02:47:03 DUE TO TIME LIMIT ***



⚠ Job 3182919 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3182919/3182919_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3182919 ON i7105 CANCELLED AT 2025-03-13T02:47:33 DUE TO TIME LIMIT ***



⚠ Job 3182920 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3182920/3182920_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3182920 ON i7084 CANCELLED AT 2025-03-13T02:47:33 DUE TO TIME LIMIT ***



⚠ Job 3186434 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3186434/3186434_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3186434/3186434_0_log.out


⚠ Job 3186465 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3186465/3186465_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3186465/3186465_0_log.out


⚠ Job 3186476 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3186476/3186476_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3186476 ON i7106 CANCELLED AT 2025-03-13T04:10:08 DUE TO TIME LIMIT ***



⚠ Job 3186487 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3186487/3186487_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3186487 ON i7050 CANCELLED AT 2025-03-13T04:10:08 DUE TO TIME LIMIT ***



⚠ Job 3189454 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3189454/3189454_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3189454/3189454_0_log.out


⚠ Job 3189475 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3189475/3189475_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3189475/3189475_0_log.out


⚠ Job 3189491 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3189491/3189491_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3189491/3189491_0_log.out


⚠ Job 3189505 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3189505/3189505_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3189505/3189505_0_log.out


⚠ Job 3189461 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3189461/3189461_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3189461 ON i7096 CANCELLED AT 2025-03-13T05:12:11 DUE TO TIME LIMIT ***



⚠ Job 3189508 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3189508/3189508_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3189508 ON i7084 CANCELLED AT 2025-03-13T05:13:41 DUE TO TIME LIMIT ***



⚠ Job 3193688 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3193688/3193688_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3193688/3193688_0_log.out


⚠ Job 3193720 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3193720/3193720_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3193720 ON i7031 CANCELLED AT 2025-03-13T06:12:13 DUE TO TIME LIMIT ***



⚠ Job 3197170 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197170/3197170_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197170/3197170_0_log.out


⚠ Job 3197171 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197171/3197171_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197171/3197171_0_log.out


⚠ Job 3197135 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197135/3197135_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3197135 ON i7089 CANCELLED AT 2025-03-13T07:16:16 DUE TO TIME LIMIT ***



⚠ Job 3197141 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197141/3197141_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3197141 ON i7083 CANCELLED AT 2025-03-13T07:16:16 DUE TO TIME LIMIT ***



⚠ Job 3197144 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197144/3197144_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3197144 ON i7082 CANCELLED AT 2025-03-13T07:16:16 DUE TO TIME LIMIT ***



⚠ Job 3197158 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197158/3197158_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3197158 ON i7073 CANCELLED AT 2025-03-13T07:16:16 DUE TO TIME LIMIT ***



⚠ Job 3197164 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197164/3197164_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3197164 ON i7070 CANCELLED AT 2025-03-13T07:16:16 DUE TO TIME LIMIT ***



⚠ Job 3197166 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197166/3197166_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3197166 ON i7069 CANCELLED AT 2025-03-13T07:16:16 DUE TO TIME LIMIT ***



⚠ Job 3197175 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3197175/3197175_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3197175 ON i7125 CANCELLED AT 2025-03-13T07:16:46 DUE TO TIME LIMIT ***


Job SlurmJob&lt;job_id=3199554, task_id=0, state=&quot;FAILED&quot;&gt;, state not in &#039;completed&#039;, &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;], which would be removed from the job list, or &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;], which would be ignored: failed

Job SlurmJob&lt;job_id=3199555, task_id=0, state=&quot;FAILED&quot;&gt;, state not in &#039;completed&#039;, &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;], which would be removed from the job list, or &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;], which would be ignored: failed


⚠ Job 3199554 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3199554/3199554_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3199554/3199554_0_log.out


⚠ Job 3199555 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3199555/3199555_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3199555/3199555_0_log.out

Job SlurmJob&lt;job_id=3199561, task_id=0, state=&quot;FAILED&quot;&gt;, state not in &#039;completed&#039;, &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;], which would be removed from the job list, or &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;], which would be ignored: failed


⚠ Job 3199561 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3199561/3199561_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3199561/3199561_0_log.out


⚠ Job 3201534 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3201534/3201534_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3201534/3201534_0_log.out


⚠ Job 3201547 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3201547/3201547_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3201547/3201547_0_log.out


⚠ Job 3201575 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3201575/3201575_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3201575/3201575_0_log.out


⚠ Job 3203126 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203126/3203126_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203126/3203126_0_log.out


⚠ Job 3203136 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203136/3203136_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203136/3203136_0_log.out


⚠ Job 3203137 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203137/3203137_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203137/3203137_0_log.out


⚠ Job 3203153 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203153/3203153_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203153/3203153_0_log.out


⚠ Job 3203154 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203154/3203154_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203154/3203154_0_log.out


⚠ Job 3203129 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203129/3203129_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3203129 ON i7159 CANCELLED AT 2025-03-13T10:00:21 DUE TO TIME LIMIT ***



⚠ Job 3203138 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203138/3203138_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3203138 ON i7152 CANCELLED AT 2025-03-13T10:00:50 DUE TO TIME LIMIT ***



⚠ Job 3203140 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203140/3203140_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3203140 ON i7145 CANCELLED AT 2025-03-13T10:00:50 DUE TO TIME LIMIT ***



⚠ Job 3203151 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3203151/3203151_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3203151 ON i7182 CANCELLED AT 2025-03-13T10:01:20 DUE TO TIME LIMIT ***



⚠ Job 3204797 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3204797/3204797_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3204797/3204797_0_log.out

Job SlurmJob&lt;job_id=3204796, task_id=0, state=&quot;FAILED&quot;&gt;, state not in &#039;completed&#039;, &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;], which would be removed from the job list, or &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;], which would be ignored: failed


⚠ Job 3204796 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3204796/3204796_0_result.pkl
has not produced any output (state: FAILED)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3204796/3204796_0_log.out

</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;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>SPLL_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME                                                                                                       </td></tr><tr><td> mem_gb</td><td>32                                                                                                                                                       </td></tr><tr><td> parameter</td><td>[[&#039;recent_samples_size&#039;, &#039;range&#039;, &#039;10&#039;, &#039;4000&#039;, &#039;int&#039;], [&#039;n_samples&#039;, &#039;range&#039;, &#039;100&#039;, &#039;1000&#039;, &#039;int&#039;], [&#039;n_clusters&#039;, &#039;range&#039;, &#039;1&#039;, &#039;4&#039;, &#039;int&#039;],          </td></tr><tr><td></td><td>[&#039;threshold&#039;, &#039;range&#039;, &#039;0.002&#039;, &#039;0.07&#039;, &#039;float&#039;]]                                                                                                        </td></tr><tr><td> continue_previous_job</td><td>None                                                                                                                                                     </td></tr><tr><td> maximize</td><td>False                                                                                                                                                    </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                                                     </td></tr><tr><td> stderr_to_stdout</td><td>False                                                                                                                                                    </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>50                                                                                                                                                       </td></tr><tr><td> disable_search_space_exhaustion_detection</td><td>False                                                                                                                                                    </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>False                                                                                                                                                    </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> num_parallel_jobs</td><td>30                                                                                                                                                       </td></tr><tr><td> worker_timeout</td><td>30                                                                                                                                                       </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                                                    </td></tr><tr><td> time</td><td>1260                                                                                                                                                     </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">1741786047.022584,30,0,0
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1741855823.6579492,30,4,13
1741855830.1976912,30,4,13
1741855837.0477834,30,4,13
1741855843.6170106,30,4,13
1741855850.4355748,30,4,13
1741855856.9973733,30,4,13
1741855863.5137303,30,4,13
1741855870.3213,30,4,13
1741855876.9210575,30,4,13
1741855883.780801,30,4,13
1741855890.3029556,30,4,13
1741855897.1561694,30,4,13
1741855903.6936617,30,4,13
1741855910.2870762,30,4,13
1741855917.1216657,30,4,13
1741855923.7117813,30,4,13
1741855930.5334933,30,4,13
1741855937.0470088,30,4,13
1741855943.842145,30,4,13
1741855950.339956,30,4,13
1741855956.8726673,30,4,13
1741855963.6923342,30,4,13
1741855970.2535229,30,4,13
1741855977.0427434,30,4,13
1741855983.6015422,30,4,13
1741855990.381035,30,4,13
1741855996.9102836,30,4,13
1741856003.6745148,30,4,13
1741856010.2182348,30,4,13
1741856017.0347667,30,4,13
1741856023.5493336,30,4,13
1741856030.0807467,30,4,13
1741856036.9266245,30,4,13
1741856043.4067922,30,4,13
1741856050.2298307,30,4,13
1741856056.7463794,30,4,13
1741856063.565687,30,4,13
1741856070.0418704,30,4,13
1741856076.7736354,30,4,13
1741856083.2297568,30,4,13
1741856089.958496,30,4,13
1741856096.4216099,30,4,13
1741856102.9007277,30,4,13
1741856109.6933408,30,4,13
1741856116.1666367,30,4,13
1741856122.9876778,30,4,13
1741856129.4334161,30,4,13
1741856136.2087517,30,4,13
1741856142.6542928,30,4,13
1741856149.423521,30,4,13
1741856155.920123,30,4,13
1741856162.703614,30,4,13
1741856169.162162,30,4,13
1741856175.6384766,30,4,13
1741856182.3973536,30,4,13
1741856188.900453,30,4,13
1741856195.6279788,30,4,13
1741856202.0868914,30,4,13
1741856208.8492458,30,4,13
1741856215.2899935,30,4,13
1741856222.0627804,30,4,13
1741856228.553667,30,4,13
1741856235.3428044,30,4,13
1741856241.8369372,30,4,13
1741856248.3247721,30,4,13
1741856255.1675239,30,4,13
1741856261.6635087,30,4,13
1741856268.4427338,30,4,13
1741856274.9254887,30,4,13
1741856281.6970751,30,4,13
1741856288.2196996,30,4,13
1741856295.0694733,30,4,13
1741856301.536442,30,4,13
1741856308.0314832,30,4,13
1741856314.8418918,30,4,13
1741856321.3008764,30,4,13
1741856328.0430677,30,4,13
1741856334.553448,30,4,13
1741856341.3126924,30,4,13
1741856347.8248098,30,4,13
1741856354.3965008,30,4,13
1741856361.1960776,30,4,13
1741856367.652286,30,4,13
1741856374.4254954,30,4,13
1741856380.9577143,30,4,13
1741856387.770242,30,4,13
1741856394.2690732,30,4,13
1741856400.773325,30,4,13
1741856407.5633352,30,4,13
1741856414.085769,30,4,13
1741856420.8954284,30,4,13
1741856427.409051,30,4,13
1741856434.1498644,30,4,13
1741856440.6450908,30,4,13
1741856447.4675002,30,4,13
1741856453.9211338,30,4,13
1741856460.4015224,30,4,13
1741856467.1573515,30,4,13
1741856473.6457074,30,4,13
1741856480.401655,30,4,13
1741856486.926293,30,4,13
1741856493.6940114,30,4,13
1741856500.188168,30,4,13
1741856506.9409926,30,4,13
1741856513.4124424,30,4,13
1741856520.1748066,30,4,13
1741856526.6920416,30,4,13
1741856533.2013226,30,4,13
1741856539.9381018,30,4,13
1741856546.4078085,30,4,13
1741856553.1484823,30,4,13
1741856559.610697,30,4,13
1741856566.3372304,30,4,13
1741856572.8055148,30,4,13
1741856579.5045261,30,4,13
1741856586.0156322,30,4,13
1741856592.7064414,30,4,13
1741856599.208073,30,4,13
1741856605.9215086,30,4,13
1741856612.4247446,30,4,13
1741856619.1725626,30,4,13
1741856625.6666498,30,4,13
1741856632.402367,30,4,13
1741856638.915761,30,4,13
1741856645.6838498,30,4,13
1741856652.1670632,30,4,13
1741856658.9139013,30,4,13
1741856665.4005373,30,4,13
1741856672.1455996,30,4,13
1741856678.6361089,30,4,13
1741856685.135494,30,4,13
1741856691.8611116,30,4,13
1741856698.3382425,30,4,13
1741856705.0661073,30,4,13
1741856711.5717223,30,4,13
1741856718.2636542,30,4,13
1741856724.7501214,30,4,13
1741856731.4754922,30,4,13
1741856737.9168494,30,4,13
1741856744.6839147,30,4,13
1741856751.1493702,30,4,13
1741856757.884921,30,4,13
1741856764.3559256,30,4,13
1741856771.1455326,30,4,13
1741856777.6046603,30,4,13
1741856784.3768215,30,4,13
1741856790.8161108,30,4,13
1741856797.2960336,30,4,13
1741856804.038791,30,4,13
1741856810.512282,30,4,13
1741856817.2525775,30,4,13
1741856823.719083,30,4,13
1741856830.480272,30,4,13
1741856836.9773183,30,4,13
1741856843.669686,30,4,13
1741856850.1463373,30,4,13
1741856856.9034877,30,4,13
1741856863.417491,30,4,13
1741856870.1398602,30,4,13
1741856876.6750138,30,4,13
1741856883.4094381,30,4,13
1741856889.9642293,30,4,13
1741856896.694624,30,4,13
1741856903.1966846,30,4,13
1741856909.9399426,30,4,13
1741856916.4178789,30,4,13
1741856923.2142797,30,4,13
1741856929.6939788,30,4,13
1741856936.438258,30,4,13
1741856942.9021747,30,4,13
1741856949.6338303,30,4,13
1741856969.9671633,30,4,13
1741856985.7591426,30,3,10
1741857001.5886176,30,2,7
1741857017.4542966,30,1,3
1741857019.7828777,30,0,0
1741857021.2953694,30,0,0
1741857022.9079492,30,0,0
1741857081.407088,30,0,0
1741857139.0192883,30,0,0
1741857205.6658742,30,0,0
1741857271.1975431,30,0,0
1741857336.7032783,30,0,0
1741857393.4482174,30,0,0
1741857458.969652,30,0,0
1741857525.890611,30,0,0
1741857590.833375,30,0,0
1741857651.928011,30,0,0
1741857713.6687007,30,0,0
1741857772.030566,30,0,0
1741857846.0927799,30,0,0
1741857920.109888,30,0,0
1741857995.805177,30,0,0
1741858062.7909584,30,0,0
1741858125.5652046,30,0,0
1741858200.414919,30,0,0
1741858260.5391767,30,0,0
1741858333.2529502,30,0,0
1741858406.303053,30,0,0
1741858476.983042,30,0,0
1741858550.5755246,30,0,0
1741858620.6164463,30,0,0
1741858695.5566728,30,0,0
1741858773.1967595,30,0,0
1741858834.3581805,30,0,0
1741858897.2743015,30,0,0
1741858972.0957155,30,0,0
1741859039.2504735,30,0,0
1741859039.4221215,30,0,0
1741859041.164522,30,1,3
1741859041.2733154,30,1,3
1741859041.4404578,30,1,3
1741859043.1955433,30,2,7
1741859043.2318325,30,2,7
1741859043.3979995,30,2,7
1741859045.1279714,30,3,10
1741859045.196315,30,3,10
1741859045.3934097,30,3,10
1741859047.1539257,30,4,13
1741859047.1855302,30,4,13
1741859047.3321047,30,4,13
1741859049.080004,30,5,17
1741859049.1123471,30,5,17
1741859049.263641,30,5,17
1741859050.925575,30,6,20
1741859050.9578173,30,6,20
1741859051.1378963,30,6,20
1741859052.8851683,30,7,23
1741859052.9183857,30,7,23
1741859053.1367218,30,7,23
1741859054.8653822,30,8,27
1741859054.8989322,30,8,27
1741859055.1249313,30,8,27
1741859056.8631449,30,9,30
1741859056.8931687,30,9,30
1741859057.0522435,30,9,30
1741859058.5265825,30,10,33
1741859058.5579567,30,10,33
1741859058.7316363,30,10,33
1741859060.1770911,30,11,37
1741859060.214696,30,11,37
1741859060.3814766,30,11,37
1741859062.0146885,30,12,40
1741859062.045248,30,12,40
1741859062.2208257,30,12,40
1741859063.9922962,30,13,43
1741859064.0238566,30,13,43
1741859064.178044,30,13,43
1741859065.8920355,30,14,47
1741859065.923357,30,14,47
1741859066.1337612,30,14,47
1741859068.0884511,30,15,50
1741859068.1204267,30,15,50
1741859068.3998587,30,15,50
1741859070.2862246,30,16,53
1741859070.3392537,30,16,53
1741859070.4858184,30,16,53
1741859072.0391963,30,17,57
1741859072.0740547,30,17,57
1741859072.2486274,30,17,57
1741859074.1200387,30,18,60
1741859074.1554375,30,18,60
1741859074.3188012,30,18,60
1741859076.108193,30,19,63
1741859076.1416194,30,19,63
1741859076.3183734,30,19,63
1741859078.0666425,30,20,67
1741859078.1219795,30,20,67
1741859078.3467062,30,20,67
1741859080.0498757,30,21,70
1741859080.0870926,30,21,70
1741859080.2792647,30,21,70
1741859082.0514143,30,22,73
1741859082.0842109,30,22,73
1741859082.2683036,30,22,73
1741859084.0204453,30,23,77
1741859084.0544538,30,23,77
1741859084.2246096,30,23,77
1741859085.9370668,30,24,80
1741859085.985704,30,24,80
1741859086.1506774,30,24,80
1741859087.869222,30,25,83
1741859087.907146,30,25,83
1741859088.110268,30,25,83
1741859089.8198736,30,26,87
1741859089.8529317,30,26,87
1741859090.0377996,30,26,87
1741859091.5563226,30,27,90
1741859091.6027184,30,27,90
1741859091.781353,30,27,90
1741859093.1503813,30,28,93
1741859093.1817565,30,28,93
1741859093.409255,30,28,93
1741859095.0085394,30,29,97
1741859095.0426965,30,29,97
1741859095.298515,30,29,97
1741859097.115128,30,30,100
1741859112.9749658,30,30,100
1741859115.6799247,30,29,97
1741859116.040087,30,25,83
1741859116.3314173,30,25,83
1741859116.5316594,30,25,83
1741859117.2353537,30,24,80
1741859117.3038342,30,24,80
1741859133.2548096,30,23,77
1741859135.9778247,30,22,73
</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
1741786046,597.671875,24.0
1741786046,597.74609375,23.0
1741786047,597.91015625,22.7
1741786047,597.91015625,26.0
1741786047,597.91015625,25.0
1741786047,597.91015625,22.6
1741786047,597.91015625,18.6
1741786112,610.921875,23.5
1741786112,610.921875,23.1
1741786112,610.921875,23.8
1741786112,610.921875,26.5
1741815448,698.9375,23.7
1741815448,698.9375,26.8
1741815448,698.9375,26.6
1741815448,698.9375,20.6
1741824819,708.11328125,26.5
1741824819,708.11328125,22.8
1741824819,708.11328125,23.8
1741824819,708.11328125,24.8
1741831589,714.1015625,23.4
1741831589,714.1015625,22.2
1741831589,714.1015625,21.2
1741831589,714.1015625,27.1
1741836640,720.10546875,23.0
1741836640,720.10546875,21.3
1741836640,720.10546875,20.9
1741836640,720.10546875,30.8
1741840942,711.75,23.6
1741840942,711.75,21.8
1741840942,711.75,21.8
1741840942,711.75,21.7
1741844792,776.02734375,24.7
1741844792,776.02734375,31.0
1741844792,776.02734375,30.9
1741844792,776.02734375,19.4
1741848228,730.6875,24.7
1741848228,730.6875,28.1
1741848228,730.6875,21.8
1741848228,730.6875,17.6
1741851813,738.7265625,23.7
1741851813,738.7265625,23.8
1741851813,738.7265625,24.3
1741851813,738.7265625,29.5
1741854756,770.421875,23.6
1741854756,770.421875,21.2
1741854756,770.421875,22.7
1741854756,770.421875,20.6
1741859137,803.29296875,23.3
1741859137,803.29296875,21.9
1741859137,803.29296875,21.6
1741859137,803.29296875,26.8
</pre><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>
			
			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;Heatmap</h1>
			<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
			    <h1>Correlation Heatmap Explanation</h1>
			
			    <p>
			        This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
			    </p>
			
			    <h2>How It Works</h2>
			    <p>
			        The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
			    </p>
			    <ul>
			        <li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
			        <li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
			        <li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
			    </ul>
			
			    <h2>Color Scale: Yellow to Purple (Viridis)</h2>
			    <p>
			        The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
			    </p>
			    <ul>
			        <li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
			        <li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
			        <li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
			        <li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
			    </ul>
			
			    <h2>What the Heatmap Shows</h2>
			    <p>
			        In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
			    </p>
			
			<h1>&nbsp;Result-Pairs</h1>
			<div class="invert_in_dark_mode" id="plotResultPairs"></div>
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
	</body>
</html>