OmniOpt2

Setting	Value
Max. nr. evaluations	1000
Number random steps	20
Nr. of workers (parameter)	20
Main process memory (GB)	8
Worker memory (GB)	1
Nr. imported jobs	500
Name	Type	Lower bound	Upper bound	Type	Log Scale?
recent_samples_size	int	1	5000	int	No
significance	float	0.001	0.999	float	No
gamma	float	0.001	0.999	float	No
max_node_size	int	1	5000	int	No
max_tree_depth	int	1	5000	int	No
max_time_stationary	int	1	5000	int	No
Failed	Succeeded	Running	Total
10	540	7	557
name	min/max
ACCURACY	max
RUNTIME	min
Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	20
max_eval	None
run_program	None
experiment_name	None
mem_gb	1
parameter	None
continue_previous_job	/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0
experiment_constraints	None
run_dir	runs
seed	None
decimalrounding	4
enforce_sequential_optimization	False
verbose_tqdm	False
model	None
gridsearch	False
occ	False
show_sixel_scatter	False
show_sixel_general	False
show_sixel_trial_index_result	False
follow	False
send_anonymized_usage_stats	False
ui_url	None
root_venv_dir	/home/s4122485
exclude	None
main_process_gb	8
pareto_front_confidence	1
max_nr_of_zero_results	10
abbreviate_job_names	False
orchestrator_file	None
checkout_to_latest_tested_version	False
live_share	False
disable_tqdm	False
workdir	False
occ_type	euclid
result_names	['RESULT=min']
minkowski_p	2
signed_weighted_euclidean_weights
generation_strategy	None
generate_all_jobs_at_once	False
revert_to_random_when_seemingly_exhausted	True
load_data_from_existing_jobs	[]
n_estimators_randomforest	100
external_generator	None
username	None
max_failed_jobs	None
num_parallel_jobs	20
worker_timeout	30
slurm_use_srun	False
time
partition
reservation	None
force_local_execution	False
slurm_signal_delay_s	0
nodes_per_job	1
cpus_per_task	1
account	None
gpus	0
run_mode	local
verbose	False
verbose_break_run_search_table	False
debug	False
no_sleep	False
tests	False
show_worker_percentage_table_at_end	False
auto_exclude_defective_hosts	False
run_tests_that_fail_on_taurus	False
raise_in_eval	False
show_ram_every_n_seconds	False
Skipped tabs:
Job-Infos
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		<meta name='viewport' content='width=device-width, initial-scale=1.0'>
		<title>Exported &raquo;s4122485/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1&laquo; from OmniOpt2-Share</title>
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				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: 65px;
				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;
			}
			
			.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;
				margin-top: 3px;
			}
			
			.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;
					width: inherit;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.hide_on_mobile {
					display: none;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					white-space: pre;
					font-size: 2em;
				}
			}
			
			.header_button {
				white-space: pre;
				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;
			}
			
			input::placeholder {
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			.gridjs-th-content {
				overflow: visible !important;
			}
			
			.error_text {
				color: red;
			}
			
			h1, h2, h3, h4, h5, h6 {
				margin-top: 1em;
				font-weight: bold;
				color: #333;
				border-left: 5px solid #ccc;
				padding-left: 0.5em;
			}
			
			.no_cursive {
				font-style: normal;	
			}
			
			.caveat {
				background-color: #fff8b3;
				border: 1px solid #f2d600;
				padding: 1em 1em 1em 70px;
				position: relative;
				font-family: sans-serif;
				color: #665500;
				margin: 1em 0;
				border-radius: 4px;
			}
			
			.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
				margin-top: 0;
				margin-bottom: 0.5em;
				font-weight: bold;
			}
			
			.caveat::before {
				content: "⚠️";
				font-size: 50px;
				line-height: 1;
				position: absolute;
				left: 10px;
				top: 50%;
				transform: translateY(-50%);
				pointer-events: none;
				user-select: none;
			}
			
			.caveat.warning::before { content: "⚠️"; }
			.caveat.stop::before { content: "🛑"; }
			.caveat.exclamation::before { content: "❗"; }
			.caveat.alarm::before { content: "🚨"; }
			.caveat.tip::before { content: "💡"; }
			
			.tutorial_icon {
				display: inline-block;
				font-size: 1.3em;
				line-height: 1;
				vertical-align: middle;
				transform: translateY(-10%);
				padding: 0.2em 0;
			}
			
			.highlight {
				background-color: yellow;
				font-weight: bold;
			}
			
			#searchResults li {
				opacity: 0;
				transform: translateY(8px);
				animation: fadeInUp 0.3s ease-out forwards;
				animation-delay: 0.05s;
				list-style: none;
				margin-bottom: 5px;
			}
			
			@keyframes fadeInUp {
				to {
					opacity: 1;
					transform: translateY(0);
				}
			}
			
			.search_headline {
				font-weight: bold;
				margin-top: 1em;
				margin-bottom: 0.3em;
				color: #444;
			}
			
			.search_share_path {
				color: black;
				display: block ruby;
				margin-top: 20px;
			}
			
			@media print {
				#scads_bar {
					display: none !important;
				}
			}
			

			/*! 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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			        0.91,
			        8,
			        0,
			        "None",
			        "i7183",
			        8,
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			        -1,
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			    ],
			    [
			        1744909439,
			        1744909459,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 451 significance 0.3162295677401125 gamma 0.20328785144723951 max_node_size 1943 max_tree_depth 2678 max_time_stationary 3242",
			        451,
			        0.3162295677401125,
			        0.20328785144723951,
			        1943,
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			        8,
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			        -1,
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			    ],
			    [
			        1744909466,
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			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 2008 significance 0.9628151267059147 gamma 0.6038780980147421 max_node_size 4743 max_tree_depth 4053 max_time_stationary 3899",
			        2008,
			        0.9628151267059147,
			        0.6038780980147421,
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			        -1,
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			    [
			        1744909499,
			        1744909519,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 4587 significance 0.2281252022050321 gamma 0.4889561682716012 max_node_size 1099 max_tree_depth 928 max_time_stationary 929",
			        4587,
			        0.2281252022050321,
			        0.4889561682716012,
			        1099,
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			        -1,
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			    [
			        1744909560,
			        1744909586,
			        26,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 1353 significance 0.07502818472869695 gamma 0.9533914142735302 max_node_size 4198 max_tree_depth 4742 max_time_stationary 2959",
			        1353,
			        0.07502818472869695,
			        0.9533914142735302,
			        4198,
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			        "i7181",
			        10,
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			        -1,
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			    [
			        1744909585,
			        1744909618,
			        33,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 3612 significance 0.47033189093507827 gamma 0.7281263300012797 max_node_size 2767 max_tree_depth 1654 max_time_stationary 567",
			        3612,
			        0.47033189093507827,
			        0.7281263300012797,
			        2767,
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			        567,
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			        8,
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			        -1,
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			    [
			        1744909584,
			        1744909642,
			        58,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 716 significance 0.1699995796084404 gamma 0.6474596868548542 max_node_size 244 max_tree_depth 2271 max_time_stationary 4269",
			        716,
			        0.1699995796084404,
			        0.6474596868548542,
			        244,
			        2271,
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			        "i7180",
			        10,
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			        -1,
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			    [
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			        1744909642,
			        57,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 4248 significance 0.25743251816183327 gamma 0.9175322609171271 max_node_size 1704 max_tree_depth 4109 max_time_stationary 1581",
			        4248,
			        0.25743251816183327,
			        0.9175322609171271,
			        1704,
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			        0.91,
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			        "None",
			        "i7180",
			        8,
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			        735.96875,
			        -1,
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			    [
			        1744909639,
			        1744909665,
			        26,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 2316 significance 0.4121739380043 gamma 0.3849654940702021 max_node_size 3631 max_tree_depth 312 max_time_stationary 4532",
			        2316,
			        0.4121739380043,
			        0.3849654940702021,
			        3631,
			        312,
			        4532,
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			        "i7181",
			        9,
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			        -1,
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			    [
			        1744909677,
			        1744909709,
			        32,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 145 significance 0.8082686778139323 gamma 0.7932839266899974 max_node_size 787 max_tree_depth 1436 max_time_stationary 2703",
			        145,
			        0.8082686778139323,
			        0.7932839266899974,
			        787,
			        1436,
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			        0.91,
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			        "None",
			        "i7180",
			        10,
			        752.51171875,
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			    [
			        1744909720,
			        1744909746,
			        26,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 2722 significance 0.01620255239866674 gamma 0.175280805317685 max_node_size 4428 max_tree_depth 3311 max_time_stationary 1923",
			        2722,
			        0.01620255239866674,
			        0.175280805317685,
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			        9,
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			        -1,
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			    [
			        1744909762,
			        1744909788,
			        26,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 2558 significance 0.7665051033012569 gamma 0.6706226415745914 max_node_size 1556 max_tree_depth 739 max_time_stationary 4494",
			        2558,
			        0.7665051033012569,
			        0.6706226415745914,
			        1556,
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			        0.91,
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			        11,
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			    [
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			        1744909823,
			        26,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 293 significance 0.034773396942764524 gamma 0.2984381004422903 max_node_size 2604 max_tree_depth 3864 max_time_stationary 274",
			        293,
			        0.034773396942764524,
			        0.2984381004422903,
			        2604,
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			        9,
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			    [
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			        1744909866,
			        26,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 2485 significance 0.6822874045856298 gamma 0.8939424312766642 max_node_size 409 max_tree_depth 2572 max_time_stationary 2118",
			        2485,
			        0.6822874045856298,
			        0.8939424312766642,
			        409,
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			        9,
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			        -1,
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			    [
			        1744912318,
			        1744912344,
			        26,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 1813 significance 0.2915667100716382 gamma 0.5463740656878799 max_node_size 954 max_tree_depth 3714 max_time_stationary 1182",
			        1813,
			        0.2915667100716382,
			        0.5463740656878799,
			        954,
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			        10,
			        721.24609375,
			        710.8893229166666,
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			    [
			        1744912347,
			        1744912367,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 3146 significance 0.12608884298242629 gamma 0.7696651555262506 max_node_size 2102 max_tree_depth 478 max_time_stationary 3574",
			        3146,
			        0.12608884298242629,
			        0.7696651555262506,
			        2102,
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			        "None",
			        "i7178",
			        10,
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			        -1,
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			    [
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			        1744912404,
			        26,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 1198 significance 0.44999455016851425 gamma 0.8527331216037274 max_node_size 4576 max_tree_depth 1112 max_time_stationary 2217",
			        1198,
			        0.44999455016851425,
			        0.8527331216037274,
			        4576,
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			        10,
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			    [
			        1744912420,
			        1744912440,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 3762 significance 0.10118271962553263 gamma 0.5806865531075746 max_node_size 3459 max_tree_depth 3097 max_time_stationary 4903",
			        3762,
			        0.10118271962553263,
			        0.5806865531075746,
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			        "i7177",
			        9,
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			    [
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			        1744912459,
			        19,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 4442 significance 0.9910863708909601 gamma 0.9769815952498466 max_node_size 2915 max_tree_depth 3188 max_time_stationary 3358",
			        4442,
			        0.9910863708909601,
			        0.9769815952498466,
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			        "i7177",
			        8,
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			    [
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			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 2176 significance 0.19222451779060065 gamma 0.11730961248837411 max_node_size 1873 max_tree_depth 1313 max_time_stationary 1328",
			        2176,
			        0.19222451779060065,
			        0.11730961248837411,
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			    [
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			        1744912532,
			        33,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 600 significance 0.5912273815702647 gamma 0.7049639608412981 max_node_size 4033 max_tree_depth 105 max_time_stationary 656",
			        600,
			        0.5912273815702647,
			        0.7049639608412981,
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			    [
			        1744913701,
			        1744913715,
			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 1239 significance 0.6489629288983425 gamma 0.999 max_node_size 1 max_tree_depth 1544 max_time_stationary 935",
			        1239,
			        0.6489629288983425,
			        0.999,
			        1,
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			        0.91,
			        1,
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			        "i7185",
			        1,
			        701.37890625,
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			    [
			        1744914962,
			        1744914975,
			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 2571 significance 0.001 gamma 0.999 max_node_size 1 max_tree_depth 5000 max_time_stationary 5000",
			        2571,
			        0.001,
			        0.999,
			        1,
			        5000,
			        5000,
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			        1,
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			        "None",
			        "i7179",
			        1,
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			    [
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			        1744915861,
			        33,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 5000 significance 0.001 gamma 0.999 max_node_size 5000 max_tree_depth 2731 max_time_stationary 3670",
			        5000,
			        0.001,
			        0.999,
			        5000,
			        2731,
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			        10,
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			        10,
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			    [
			        1744917303,
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 1622 significance 0.5912112986659273 gamma 0.999 max_node_size 1 max_tree_depth 967 max_time_stationary 5000",
			        1622,
			        0.5912112986659273,
			        0.999,
			        1,
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			        1,
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			    [
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			        1744934633,
			        19,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 1901 significance 0.999 gamma 0.999 max_node_size 3456 max_tree_depth 5000 max_time_stationary 2748",
			        1901,
			        0.999,
			        0.999,
			        3456,
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			        8,
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			        8,
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			    [
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			        27,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Ozone 2000 HoeffdingTreeClassifier CDLEEDS recent_samples_size 2040 significance 0.45671602495315294 gamma 0.999 max_node_size 5000 max_tree_depth 1838 max_time_stationary 3716",
			        2040,
			        0.45671602495315294,
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			        20,
			        5,
			        25
			    ],
			    [
			        1744914914.3166661,
			        20,
			        5,
			        25
			    ],
			    [
			        1744914916.0246077,
			        20,
			        6,
			        30
			    ],
			    [
			        1744914931.4248211,
			        20,
			        6,
			        30
			    ],
			    [
			        1744914951.016229,
			        20,
			        5,
			        25
			    ],
			    [
			        1744914970.6154053,
			        20,
			        4,
			        20
			    ],
			    [
			        1744914989.4567246,
			        20,
			        3,
			        15
			    ],
			    [
			        1744914994.2209632,
			        20,
			        2,
			        10
			    ],
			    [
			        1744914997.8479533,
			        20,
			        1,
			        5
			    ],
			    [
			        1744915004.1390054,
			        20,
			        0,
			        0
			    ],
			    [
			        1744915004.2089546,
			        20,
			        0,
			        0
			    ],
			    [
			        1744915780.5413768,
			        20,
			        0,
			        0
			    ],
			    [
			        1744915780.7159846,
			        20,
			        0,
			        0
			    ],
			    [
			        1744915782.1411223,
			        20,
			        1,
			        5
			    ],
			    [
			        1744915787.9851673,
			        20,
			        1,
			        5
			    ],
			    [
			        1744916322.0319705,
			        20,
			        1,
			        5
			    ],
			    [
			        1744916322.3300393,
			        20,
			        1,
			        5
			    ],
			    [
			        1744916324.0665474,
			        20,
			        2,
			        10
			    ],
			    [
			        1744916324.6692977,
			        20,
			        2,
			        10
			    ],
			    [
			        1744916334.6855915,
			        20,
			        1,
			        5
			    ],
			    [
			        1744916334.7556045,
			        20,
			        1,
			        5
			    ],
			    [
			        1744917290.1864,
			        20,
			        1,
			        5
			    ],
			    [
			        1744917290.6896386,
			        20,
			        1,
			        5
			    ],
			    [
			        1744917292.3057156,
			        20,
			        2,
			        10
			    ],
			    [
			        1744917303.4478672,
			        20,
			        2,
			        10
			    ],
			    [
			        1744934606.358462,
			        20,
			        2,
			        10
			    ],
			    [
			        1744934607.0078585,
			        20,
			        2,
			        10
			    ],
			    [
			        1744934608.9930198,
			        20,
			        3,
			        15
			    ],
			    [
			        1744934624.6451118,
			        20,
			        3,
			        15
			    ],
			    [
			        1744934628.7980857,
			        20,
			        2,
			        10
			    ],
			    [
			        1744934637.7399416,
			        20,
			        1,
			        5
			    ],
			    [
			        1744934637.8362246,
			        20,
			        1,
			        5
			    ],
			    [
			        1744974737.1166418,
			        20,
			        1,
			        5
			    ],
			    [
			        1744974737.5196853,
			        20,
			        1,
			        5
			    ],
			    [
			        1744974739.177804,
			        20,
			        2,
			        10
			    ],
			    [
			        1744974739.7708414,
			        20,
			        2,
			        10
			    ],
			    [
			        1744974748.7314885,
			        20,
			        1,
			        5
			    ],
			    [
			        1744974748.9211493,
			        20,
			        1,
			        5
			    ],
			    [
			        1745003326.002486,
			        20,
			        1,
			        5
			    ],
			    [
			        1745003326.4517784,
			        20,
			        1,
			        5
			    ],
			    [
			        1745003328.3389885,
			        20,
			        2,
			        10
			    ],
			    [
			        1745003329.0126572,
			        20,
			        2,
			        10
			    ],
			    [
			        1745003340.3149772,
			        20,
			        1,
			        5
			    ],
			    [
			        1745003340.4423463,
			        20,
			        1,
			        5
			    ],
			    [
			        1745018664.0132365,
			        20,
			        1,
			        5
			    ],
			    [
			        1745018664.563215,
			        20,
			        1,
			        5
			    ],
			    [
			        1745018666.3896642,
			        20,
			        2,
			        10
			    ],
			    [
			        1745018666.9654112,
			        20,
			        2,
			        10
			    ],
			    [
			        1745018675.8725746,
			        20,
			        1,
			        5
			    ],
			    [
			        1745018676.0124252,
			        20,
			        1,
			        5
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1744909333,
			        650.6875,
			        17
			    ],
			    [
			        1744909333,
			        650.69140625,
			        51.1
			    ],
			    [
			        1744909333,
			        650.75,
			        49.6
			    ],
			    [
			        1744909333,
			        650.75,
			        20
			    ],
			    [
			        1744909333,
			        650.75,
			        13.5
			    ],
			    [
			        1744909333,
			        650.75,
			        30.5
			    ],
			    [
			        1744909333,
			        650.75,
			        37.5
			    ],
			    [
			        1744909860,
			        709.0078125,
			        25.1
			    ],
			    [
			        1744909860,
			        709.0078125,
			        65.3
			    ],
			    [
			        1744909860,
			        709.0078125,
			        66.1
			    ],
			    [
			        1744909860,
			        709.0078125,
			        27.6
			    ],
			    [
			        1745018683,
			        1361.0234375,
			        68.9
			    ],
			    [
			        1745018683,
			        1361.0234375,
			        66.5
			    ],
			    [
			        1745018684,
			        1361.0234375,
			        65.2
			    ],
			    [
			        1745018684,
			        1361.0234375,
			        66.7
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout, no_height = 0) {
				layout["width"] = get_graph_width();
				if (!no_height) {
					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,
					ellipsis: false
				}).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 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_node";
			
				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',
						jitter: 0.5,
						pointpos: 0
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: get_axis_title_data("Generation Method")
					},
					boxmode: 'group'
				};
			
				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_node"]').forEach(el => {
					let text = el.textContent.toLowerCase();
					let color = text.includes("manual") ? "green" :
						text.includes("sobol") ? "orange" :
						text.includes("saasbo") ? "pink" :
						text.includes("uniform") ? "lightblue" :
						text.includes("legacy_gpei") ? "sienna" :
						text.includes("bo_mixed") ? "aqua" :
						text.includes("randomforest") ? "darkseagreen" :
						text.includes("external_generator") ? "purple" :
						text.includes("botorch") ? "yellow" : "";
					if (color !== "") {
						el.style.backgroundColor = color;
					}
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" :
						el.textContent.includes("ABANDONED") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_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();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			function demo_mode(nr_sec = 3) {
				let i = 0;
				let tabs = $('menu[role="tablist"] > button');
			
				setInterval(() => {
					tabs.attr('aria-selected', 'false').removeClass('active');
			
					let tab = tabs.eq(i % tabs.length);
					tab.attr('aria-selected', 'true').addClass('active');
			
					tab.trigger('click');
			
					i++;
				}, nr_sec * 1000);
			}
			
			function resizePlotlyCharts() {
				const plotlyElements = document.querySelectorAll('.js-plotly-plot');
			
				if (plotlyElements.length) {
					const windowWidth = window.innerWidth;
					const windowHeight = window.innerHeight;
			
					const newWidth = windowWidth * 0.9;
					const newHeight = windowHeight * 0.9;
			
					plotlyElements.forEach(function(element, index) {
						const layout = {
							width: newWidth,
							height: newHeight,
							plot_bgcolor: 'rgba(0, 0, 0, 0)',
							paper_bgcolor: 'rgba(0, 0, 0, 0)',
						};
			
						Plotly.relayout(element, layout)
					});
				}
			
				make_text_in_parallel_plot_nicer();
				apply_theme_based_on_system_preferences();
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			
			window.addEventListener('resize', function() {
				resizePlotlyCharts();
			});
			
			"use strict";
			
			function get_row_by_index(idx) {
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
			
				var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
			
				if(trial_index_col_idx == -1) {
					error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
			
					return null;
				}
			
				for (var i = 0; i < tab_results_csv_json.length; i++) {
					var row = tab_results_csv_json[i];
					var trial_index = row[trial_index_col_idx];
			
					if (trial_index == idx) {
						return row;
					}
				}
			
				return null;
			}
			
			function load_pareto_graph_from_idxs () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				if(pareto_idxs === null) {
					var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
					$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
					return;	
				}
			
				var table = get_pareto_table_data_from_idx();
			
				var html_tables = createParetoTablesFromData(table);
			
				$("#pareto_from_idxs_table").html(html_tables);
			
				renderParetoFrontPlots(table);
			
				apply_theme_based_on_system_preferences();
			}
			
			function renderParetoFrontPlots(data) {
				try {
					let container = document.getElementById("pareto_front_idxs_plot_container");
					if (!container) {
						console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
						return;
					}
			
					container.innerHTML = "";
			
					if(data === undefined || data === null) {
						var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
						$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
						return;
					}
			
					Object.keys(data).forEach((key, idx) => {
						if (!key.startsWith("Pareto front for ")) return;
			
						let label = key.replace("Pareto front for ", "");
						let [xKey, yKey] = label.split("/");
			
						if (!xKey || !yKey) {
							console.warn("Could not extract two objectives from key:", key);
							return;
						}
			
						let entries = data[key];
						let x = [];
						let y = [];
						let hoverTexts = [];
			
						entries.forEach((entry) => {
							let results = entry.results || {};
							let values = entry.values || {};
			
							let xVal = (results[xKey] || [])[0];
							let yVal = (results[yKey] || [])[0];
			
							if (xVal === undefined || yVal === undefined) {
								console.warn("Missing values for", xKey, yKey, "in", entry);
								return;
							}
			
							x.push(xVal);
							y.push(yVal);
			
							let hoverInfo = [];
			
							if ("trial_index" in values) {
								hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
							}
			
							Object.keys(values)
								.filter(k => k !== "trial_index")
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
								});
			
							Object.keys(results)
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
								});
			
							hoverTexts.push(hoverInfo.join("<br>"));
						});
			
						let wrapper = document.createElement("div");
						wrapper.style.marginBottom = "30px";
			
						let titleEl = document.createElement("h3");
						titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
						wrapper.appendChild(titleEl);
			
						let divId = `pareto_plot_${idx}`;
						let plotDiv = document.createElement("div");
						plotDiv.id = divId;
						plotDiv.style.width = "100%";
						plotDiv.style.height = "400px";
			
						wrapper.appendChild(plotDiv);
						container.appendChild(wrapper);
			
						let trace = {
							x: x,
							y: y,
							text: hoverTexts,
							hoverinfo: "text",
							mode: "markers",
							type: "scatter",
							marker: {
								size: 8,
								color: 'rgb(31, 119, 180)',
								line: {
									width: 1,
									color: 'black'
								}
							},
							name: label
						};
			
						let layout = {
							xaxis: { title: { text: xKey } },
							yaxis: { title: { text: yKey } },
							margin: { t: 10, l: 60, r: 20, b: 50 },
							hovermode: "closest",
							showlegend: false
						};
			
						Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
					});
				} catch (e) {
					console.error("Error while rendering Pareto front plots:", e);
				}
			}
			
			function createParetoTablesFromData(data) {
				try {
					var container = document.createElement("div");
			
					var parsedData;
					try {
						parsedData = typeof data === "string" ? JSON.parse(data) : data;
					} catch (e) {
						console.error("JSON parsing failed:", e);
						return container;
					}
			
					for (var sectionTitle in parsedData) {
						if (!parsedData.hasOwnProperty(sectionTitle)) {
							continue;
						}
			
						var sectionData = parsedData[sectionTitle];
						var heading = document.createElement("h2");
						heading.textContent = sectionTitle;
						container.appendChild(heading);
			
						var table = document.createElement("table");
						table.style.borderCollapse = "collapse";
						table.style.marginBottom = "2em";
						table.style.width = "100%";
			
						var thead = document.createElement("thead");
						var headerRow = document.createElement("tr");
			
						var allValueKeys = new Set();
						var allResultKeys = new Set();
			
						sectionData.forEach(entry => {
							var values = entry.values || {};
							var results = entry.results || {};
			
							Object.keys(values).forEach(key => {
								allValueKeys.add(key);
							});
			
							Object.keys(results).forEach(key => {
								allResultKeys.add(key);
							});
						});
			
						var sortedValueKeys = Array.from(allValueKeys).sort();
						var sortedResultKeys = Array.from(allResultKeys).sort();
			
						if (sortedValueKeys.includes("trial_index")) {
							sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
							sortedValueKeys.unshift("trial_index");
						}
			
						var allColumns = [...sortedValueKeys, ...sortedResultKeys];
			
						allColumns.forEach(col => {
							var th = document.createElement("th");
							th.textContent = col;
							th.style.border = "1px solid black";
							th.style.padding = "4px";
							headerRow.appendChild(th);
						});
			
						thead.appendChild(headerRow);
						table.appendChild(thead);
			
						var tbody = document.createElement("tbody");
			
						sectionData.forEach(entry => {
							var tr = document.createElement("tr");
			
							allColumns.forEach(col => {
								var td = document.createElement("td");
								td.style.border = "1px solid black";
								td.style.padding = "4px";
			
								var value = null;
			
								if (col in entry.values) {
									value = entry.values[col];
								} else if (col in entry.results) {
									value = entry.results[col];
								}
			
								if (Array.isArray(value)) {
									td.textContent = value.join(", ");
								} else {
									td.textContent = value !== null && value !== undefined ? value : "";
								}
			
								tr.appendChild(td);
							});
			
							tbody.appendChild(tr);
						});
			
						table.appendChild(tbody);
						container.appendChild(table);
					}
			
					return container;
				} catch (err) {
					console.error("Unexpected error:", err);
					var errorDiv = document.createElement("div");
					errorDiv.textContent = "Error generating tables.";
					return errorDiv;
				}
			}
			
			function get_pareto_table_data_from_idx () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				var x_keys = Object.keys(pareto_idxs);
			
				var tables = {};
			
				for (var i = 0; i < x_keys.length; i++) {
					var x_key = x_keys[i];
					var y_keys = Object.keys(pareto_idxs[x_key]);
			
					for (var j = 0; j < y_keys.length; j++) {
						var y_key = y_keys[j];
			
						var indices = pareto_idxs[x_key][y_key];
			
						for (var k = 0; k < indices.length; k++) {
							var idx = indices[k];
							var row = get_row_by_index(idx);
			
							if(row === null) {
								error(`Error getting the row for index ${idx}`);
								return;
							}
			
							var row_dict = {
								"results": {},
								"values": {},
							};
			
							for (var l = 0; l < tab_results_headers_json.length; l++) {
								var header = tab_results_headers_json[l];
			
								if (!special_col_names.includes(header) || header == "trial_index") {
									var val = row[l];
			
									if (result_names.includes(header)) {
										if (!Object.keys(row_dict["results"]).includes(header)) {
											row_dict["results"][header] = [];
										}
			
										row_dict["results"][header].push(val);
									} else {
										if (!Object.keys(row_dict["values"]).includes(header)) {
											row_dict["values"][header] = [];
										}
										row_dict["values"][header].push(val);
									}
								}
								
							}
			
							var table_key = `Pareto front for ${x_key}/${y_key}`;
			
							if(!Object.keys(tables).includes(table_key)) {
								tables[table_key] = [];
							}
			
							tables[table_key].push(row_dict);
						}
			
					}
				}
			
				return tables;
			}
			
			function getMinMaxByResultName(resultName) {
				try {
					if (typeof resultName !== "string") {
						error("Parameter resultName must be a string");
						return;
					}
			
					if (!Array.isArray(result_names)) {
						error("Global variable result_names is not an array or undefined");
						return;
					}
					if (!Array.isArray(result_min_max)) {
						error("Global variable result_min_max is not an array or undefined");
						return;
					}
			
					if (result_names.length !== result_min_max.length) {
						error("Global arrays result_names and result_min_max must have the same length");
						return;
					}
			
					var index = result_names.indexOf(resultName);
					if (index === -1) {
						error("Result name '" + resultName + "' not found in result_names");
						return;
					}
			
					var minMaxValue = result_min_max[index];
			
					if (minMaxValue !== "min" && minMaxValue !== "max") {
						error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
						return;
					}
			
					return minMaxValue;
			
				} catch (e) {
					error("Unexpected error: " + e.message);
				}
			}
			

			$(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> Max. nr. evaluations</td><td>1000  </td></tr><tr><td> Number random steps</td><td>20    </td></tr><tr><td> Nr. of workers (parameter)</td><td>20    </td></tr><tr><td> Main process memory (GB)</td><td>8     </td></tr><tr><td> Worker memory (GB)</td><td>1     </td></tr><tr><td> Nr. imported jobs</td><td>500   </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>int</td><td>1</td><td>5000</td><td>int</td><td>No         </td></tr><tr><td> significance</td><td>float</td><td>0.001</td><td>0.999</td><td>float</td><td>No         </td></tr><tr><td> gamma</td><td>float</td><td>0.001</td><td>0.999</td><td>float</td><td>No         </td></tr><tr><td> max_node_size</td><td>int</td><td>1</td><td>5000</td><td>int</td><td>No         </td></tr><tr><td> max_tree_depth</td><td>int</td><td>1</td><td>5000</td><td>int</td><td>No         </td></tr><tr><td> max_time_stationary</td><td>int</td><td>1</td><td>5000</td><td>int</td><td>No         </td></tr></tbody></table><h2>Number of evaluations</h2>
			<table>
			<tbody>
			<tr>
			<th>Failed</th>
			<th>Succeeded</th>
			<th>Running</th>
			<th>Total</th>
			</tr>
			<tr>
			<td>10</td>
			<td>540</td>
			<td>7</td>
			<td>557</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types</h2>
			<table>
			<tr><th>name</th><th>min/max</th></tr>
			<tr>
			<td>ACCURACY</td>
			<td>max</td>
			</tr>
			<tr>
			<td>RUNTIME</td>
			<td>min</td>
			</tr>
			</table>
			<br>
			<h2>Git-Version</h2>
			<tt>Commit: 2223ae6553abdd3e288f4b391080b763a7a48477
			</tt>
			<h1>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,significance,gamma,max_node_size,max_tree_depth,max_time_stationary
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,14.000000000000000000000000000000,3223,0.695841400861740067007588095294,0.563479228138923593505182907393,884,1325,478
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,173,0.327434446990489957940440035600,0.392505456121638396371764656578,4756,3327,3306
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,2486,0.907807449940592037229691868561,0.921250862792134306289426604053,1697,4036,4301
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,7.000000000000000000000000000000,4123,0.036509802829474212459981430356,0.095232041107490658649048498319,2669,765,2130
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,165.000000000000000000000000000000,4754,0.851112115602940311198665312986,0.308721541931852694329307951193,3153,319,984
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,9.000000000000000000000000000000,1861,0.233214816961437476638963062214,0.729198604237288217078116758785,2483,4880,2567
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,72.000000000000000000000000000000,794,0.502792112499475529752146485407,0.198505551462993035105597527945,4268,3070,4807
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,2590,0.379988643251359448083093184323,0.775025774773210329726680356544,94,2279,1390
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,90.000000000000000000000000000000,3052,0.944809522993862671569331723731,0.132948884647339587994352427813,1914,3642,2252
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,946,0.077400349572300908285171772150,0.835222268482670227029984744149,3745,1640,3799
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,115.000000000000000000000000000000,1397,0.658841681201010942459106445312,0.365965656366199265647765059839,510,1077,3575
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,150.000000000000000000000000000000,4603,0.286541565444320467381800199291,0.662695879196748105499636949389,3835,4348,121
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,3982,0.602174899872392366262374707730,0.997042775811627479676246821327,4642,4570,1747
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.930000000000000048849813083507,7.000000000000000000000000000000,2031,0.483278939653187966651870510759,0.045266979098320010710398975107,1014,9,4538
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,315,0.751727885708212806292749519343,0.512571907537057946946390529774,2935,1966,3070
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,3677,0.129925992824137220837954487251,0.465341175362467773801711246051,1407,2757,862
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,3534,0.804461451934650573214469204686,0.847100458730012162433808953210,4132,865,4450
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,485,0.186561803618445987140717079455,0.177110502956435073018681691792,270,3864,1620
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,2171,0.580876220559701339496427863196,0.645456662598997366053765745164,3290,3149,774
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,150.000000000000000000000000000000,3810,0.458070401636883617335627150169,0.318393119020387527218218792768,2308,1421,2943
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.920000000000000039968028886506,198.000000000000000000000000000000,4443,0.648960398433729990230744988366,0.030952782193198802307421146907,1873,2497,3946
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,9.000000000000000000000000000000,1550,0.280554913109168413409832965044,0.950444132156670118405372704729,2532,2936,2359
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.920000000000000039968028886506,13.000000000000000000000000000000,1109,0.985630773851647989935997884459,0.484040919268503788686075495207,708,4741,268
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,2902,0.114334584133699540542394856857,0.561607760570943304045954391768,4893,532,3683
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,64.000000000000000000000000000000,2742,0.555495237054303259149889981927,0.408768433071672931955475860377,3111,4179,2675
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,634,0.436594012374058371150908897107,0.612027529248967749886389810854,1270,1181,1130
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,140.000000000000000000000000000000,1711,0.829843907704576833062048990541,0.082379514746367926703030093449,4466,1729,1497
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,4917,0.208036750359460703707625839343,0.878063119584694518060530299408,1150,3458,4954
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,4293,0.897895725501701269521959147824,0.711472319034859523867453390267,374,2627,3180
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.910000000000000031086244689504,8.000000000000000000000000000000,2343,0.030492708822712301375279508875,0.258712720949202779063824664263,4011,2187,391
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,6.000000000000000000000000000000,1990,0.044958862429974502661345070464,0.001000000000000000020816681712,762,1,4647
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.900000000000000022204460492503,3.000000000000000000000000000000,1,0.290283713840691237617619435696,0.001000000000000000020816681712,1065,1,3705
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,5.000000000000000000000000000000,4973,0.001000000000000000020816681712,0.001000000000000000020816681712,340,1,4180
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.998999999999999999111821580300,0.562647023952191016604729156825,1,2930,1
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.001000000000000000020816681712,0.001000000000000000020816681712,1,1,5000
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,3.000000000000000000000000000000,1,0.001000000000000000020816681712,0.127333728653090255678037578946,2271,1,5000
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,5.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.001000000000000000020816681712,2455,1,5000
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,1,0.001000000000000000020816681712,0.001000000000000000020816681712,764,1240,4887
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,4.000000000000000000000000000000,2867,0.001000000000000000020816681712,0.001000000000000000020816681712,2667,1,5000
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,4.000000000000000000000000000000,1,0.596441898338594955752967052831,0.001000000000000000020816681712,4335,1,4938
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.213318561755485303077506387126,0.907015300759907994176955980947,3987,5000,5000
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.595079450207507187897704170609,0.641544392303954769118945478112,1,5000,1
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,186.000000000000000000000000000000,91,0.100372211099388430888268430863,0.998999999999999999111821580300,890,5000,1
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.884976827234935203847498996765,0.001000000000000000020816681712,1,1,4803
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2062,0.001000000000000000020816681712,0.001000000000000000020816681712,1,736,4868
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,9.000000000000000000000000000000,2940,0.121802539839069315363850876111,0.001000000000000000020816681712,4354,1,4107
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2701,0.001000000000000000020816681712,0.136249093959008749088468448463,1,1,5000
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,1,0.001000000000000000020816681712,0.001000000000000000020816681712,1666,563,4006
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.900000000000000022204460492503,179.000000000000000000000000000000,1,0.998999999999999999111821580300,0.214656360041088511980689190750,1795,5000,1
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,176.000000000000000000000000000000,1,0.001000000000000000020816681712,0.444628514785231576667001718306,971,4081,1
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,7.000000000000000000000000000000,1,0.001000000000000000020816681712,0.001000000000000000020816681712,224,2108,4618
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,1,0.998999999999999999111821580300,0.737743793578861994930662149272,312,4763,397
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.900000000000000022204460492503,193.000000000000000000000000000000,1,0.916670548866696965895073390129,0.987440150153987783454567761510,755,5000,1
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,5.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,405,1,1773
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,3.000000000000000000000000000000,1,0.001000000000000000020816681712,0.038858500279269486687994117347,5000,1,4302
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3727,0.183165238418105807971514309429,0.001000000000000000020816681712,1,1,5000
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,5.000000000000000000000000000000,1671,0.001000000000000000020816681712,0.001000000000000000020816681712,1692,1,3405
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,6.000000000000000000000000000000,1495,0.021811088393307146576782784564,0.082720023569536879626262759757,628,1,5000
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1874,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,5000,5000
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,62.000000000000000000000000000000,860,0.001000000000000000020816681712,0.001000000000000000020816681712,551,3934,4935
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,64.000000000000000000000000000000,1165,0.985891378438872423295435964974,0.602816885543346114850749017933,725,5000,447
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1016,0.976562791466932589301563893969,0.557216253197614030945317153964,2673,2492,1603
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1208,0.998999999999999999111821580300,0.640083346978802092408500357124,2822,4339,1458
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,4790,0.438757781543306801808057571179,0.980720161342655716296690115996,3724,4324,3170
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1421,0.972841615370680923291502040229,0.620468172840381249066865620989,3540,5000,1396
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,2021,0.483033827064971221787459398911,0.094660783411131835252128041702,1980,5000,4902
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,544.000000000000000000000000000000,1920,0.477353790888167206496461858478,0.014544973965955077313538801320,514,3403,572
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.103205378180799514642451697455,0.998999999999999999111821580300,660,4439,3280
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.095592730677978687836571225489,0.998999999999999999111821580300,474,903,784
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,160.000000000000000000000000000000,1843,0.475299760979672858418609848741,0.001000000000000000020816681712,1747,4494,1466
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,481.000000000000000000000000000000,1967,0.477985085910479057247357559390,0.101309988437490380852601390416,4494,3118,1
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1149,0.998999999999999999111821580300,0.684265911473091570371707348386,421,1227,2185
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,287.000000000000000000000000000000,1927,0.481352932246563725016130774748,0.001000000000000000020816681712,3194,1,972
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.099866821010497222599333611015,0.813135370262804135776946168335,4358,250,2754
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1218,0.984855327821442139146768113278,0.610748955415907790467144877766,2358,1516,5000
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,2172,0.472639096279428239100184327981,0.001000000000000000020816681712,4175,4770,2369
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,11.000000000000000000000000000000,1095,0.998999999999999999111821580300,0.701135692032809232365764273709,575,4582,2630
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,941,0.553242749274480805077303102735,0.901098788330017663739113231713,1806,4338,3032
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1238,0.998990621884730645163585904811,0.483561616751100487032744013050,3898,2914,4097
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.092973165409037661355284853926,0.998999999999999999111821580300,2461,3917,3147
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1250,0.977517432587390655562842312065,0.638119396634912905419412254560,638,5000,4999
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,242.000000000000000000000000000000,1654,0.973016746194017789761687708960,0.642728499464054969791959592840,2297,17,3608
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,2147,0.654497651561080528992420113354,0.998999999999999999111821580300,1876,4811,3493
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,168.000000000000000000000000000000,1981,0.481905800877203693843853216094,0.001000000000000000020816681712,2570,4011,470
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,507.000000000000000000000000000000,1922,0.477763379200600746266047735844,0.001000000000000000020816681712,2126,2294,1
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,78,0.094215577175502371320980898872,0.948092621029285598233116161282,4288,219,3833
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,51.000000000000000000000000000000,2845,0.118578243592945442586028548249,0.024152007272086158801149835540,1896,3252,54
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,2157,0.479658250925215245974442268562,0.001000000000000000020816681712,4485,515,1139
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,2151,0.485948944497342605330914011574,0.001000000000000000020816681712,3733,4973,3679
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1156,0.994216300780519812718694083742,0.523810344101575453557018136053,3833,2957,2452
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,2184,0.434310617921448316458565841458,0.001000000000000000020816681712,2102,472,5000
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,39.000000000000000000000000000000,2430,0.355543802407899345308095462315,0.001000000000000000020816681712,2037,686,2676
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2170,0.570331621680040923294541244104,0.001000000000000000020816681712,1,380,5000
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,7.000000000000000000000000000000,3034,0.001000000000000000020816681712,0.001000000000000000020816681712,1122,3628,273
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,184.000000000000000000000000000000,4708,0.547889587497620178524471157289,0.383980899457433355603797053845,3592,4942,3806
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,137.000000000000000000000000000000,3581,0.372734115414194933091351913390,0.001000000000000000020816681712,4809,599,4614
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,2102,0.392723380338152572299748044315,0.222785719045765384649371299020,1840,315,5000
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1747,0.509620111897750582841126743006,0.577140437222110502801797338179,1110,2877,4824
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1297,0.559940368967183244031105004979,0.516156087894373616364873669227,1,4960,4108
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1508,0.427414796396008156431634006367,0.330656532661366353575971288592,4739,5000,1475
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,2115,0.450354923322793643247763384352,0.001000000000000000020816681712,998,894,1388
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,57.000000000000000000000000000000,2637,0.621623368563552602950039727148,0.001000000000000000020816681712,2779,484,5000
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,11.000000000000000000000000000000,2837,0.280395318835260198842007639541,0.073668678727210681889125964972,4309,5000,315
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,5000,0.639465223632809887099881507311,0.567238712794612132128690973332,4741,3285,5000
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,44.000000000000000000000000000000,2538,0.360667203879307896041694903033,0.001000000000000000020816681712,4386,849,316
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,5000,0.730383122622343616825446588336,0.581835359944099628215496977646,3026,4878,4466
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2546,0.323610726328766640236267448927,0.001000000000000000020816681712,1,621,3234
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,3720,0.376881129756124089169588842196,0.292199658453287547388299572049,4983,4980,3349
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,11.000000000000000000000000000000,2026,0.436891744267053572237102798681,0.459599914367413597826583782080,1021,1,5000
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,4736,0.590129416453191946168033155118,0.509863218401474971308573458373,1,5000,3956
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,56.000000000000000000000000000000,2651,0.394972199603496887387876768116,0.001000000000000000020816681712,5000,708,3824
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2458,0.599951536602047696966621970205,0.001000000000000000020816681712,1,762,3255
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,3045,0.001000000000000000020816681712,0.134037694045988919899770053235,4537,3335,3012
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2112,0.655628569777202296897655742214,0.555123411819674172917871146637,1,3380,5000
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,159.000000000000000000000000000000,4362,0.740122698109150212175677552295,0.274505130325678026181890345470,3281,5000,5000
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,2578,0.001000000000000000020816681712,0.197408025303703826835999279865,207,3290,1270
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,77.000000000000000000000000000000,3079,0.079734285995754911047228574716,0.001000000000000000020816681712,3115,5000,635
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,183.000000000000000000000000000000,5000,0.451614001922298724522875090770,0.001000000000000000020816681712,5000,579,4894
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,119.000000000000000000000000000000,3433,0.249547357238534717183142674912,0.001000000000000000020816681712,5000,4990,1917
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,28.000000000000000000000000000000,2255,0.799235094922389643912197243480,0.001000000000000000020816681712,2287,335,5000
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,139.000000000000000000000000000000,3678,0.617562706846208842037526665081,0.001000000000000000020816681712,3808,904,1191
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3184,0.998999999999999999111821580300,0.001000000000000000020816681712,1,1,5000
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,120.000000000000000000000000000000,2447,0.998999999999999999111821580300,0.001000000000000000020816681712,4146,1,2992
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3049,0.998999999999999999111821580300,0.001000000000000000020816681712,1,975,5000
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3811,0.998999999999999999111821580300,0.001000000000000000020816681712,1,790,351
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,407.000000000000000000000000000000,2992,0.998999999999999999111821580300,0.001000000000000000020816681712,5000,743,1
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2842,0.998999999999999999111821580300,0.001000000000000000020816681712,1,1468,5000
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,347.000000000000000000000000000000,3188,0.630356050333562678567034254229,0.001000000000000000020816681712,5000,866,1
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.900000000000000022204460492503,231.000000000000000000000000000000,3565,0.998999999999999999111821580300,0.001000000000000000020816681712,38,542,2872
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,92.000000000000000000000000000000,3027,0.687825469693077118371604683489,0.001000000000000000020816681712,5000,5000,4388
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.998999999999999999111821580300,0.001000000000000000020816681712,1,1042,5000
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,375.000000000000000000000000000000,5000,0.218655206604264518155389396270,0.109532199301714899819515380841,4650,4239,1
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.900000000000000022204460492503,224.000000000000000000000000000000,3926,0.998999999999999999111821580300,0.001000000000000000020816681712,4543,2606,5000
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,211.000000000000000000000000000000,2670,0.998999999999999999111821580300,0.001000000000000000020816681712,4455,1,5000
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.900000000000000022204460492503,80.000000000000000000000000000000,2724,0.998999999999999999111821580300,0.001000000000000000020816681712,5000,811,5000
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,599.000000000000000000000000000000,4004,0.998999999999999999111821580300,0.001000000000000000020816681712,635,2352,4690
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,379.000000000000000000000000000000,3161,0.998999999999999999111821580300,0.001000000000000000020816681712,626,1,1
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,51.000000000000000000000000000000,2583,0.570339041155709658426076202886,0.001000000000000000020816681712,5000,893,1610
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,22.000000000000000000000000000000,2642,0.998999999999999999111821580300,0.912644231192713983880082651012,5000,601,254
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,347.000000000000000000000000000000,2810,0.998999999999999999111821580300,0.998999999999999999111821580300,3815,1,166
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,2948,0.001000000000000000020816681712,0.786100448350284142229327244422,600,5000,4222
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.900000000000000022204460492503,132.000000000000000000000000000000,2892,0.998999999999999999111821580300,0.001000000000000000020816681712,5000,4244,4279
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,125.000000000000000000000000000000,3506,0.998999999999999999111821580300,0.345178791556959296826789795887,1220,1901,5000
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.998999999999999999111821580300,0.001000000000000000020816681712,1,200,1573
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1954,0.998999999999999999111821580300,0.998999999999999999111821580300,1,25,5000
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.998999999999999999111821580300,0.408628194225036989184474123249,1,4388,3457
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2745,0.998999999999999999111821580300,0.484074297084388760481488134246,1,1453,1
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3017,0.998999999999999999111821580300,0.001000000000000000020816681712,1,5000,5000
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,211.000000000000000000000000000000,2752,0.998999999999999999111821580300,0.001000000000000000020816681712,85,2723,1
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2885,0.998999999999999999111821580300,0.291538892705830610108108658096,1,2066,87
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2001,0.857521562213548027564513631660,0.602607089666857942411581916531,1,4431,27
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,133.000000000000000000000000000000,3564,0.255718112538211472806182200657,0.033583107898032635296736714281,5000,615,952
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.930000000000000048849813083507,334.000000000000000000000000000000,2992,0.998999999999999999111821580300,0.001000000000000000020816681712,4927,1,1801
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2101,0.942679485582082810068982325902,0.695166108411221950191816176812,1,3453,1
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,71.000000000000000000000000000000,2296,0.998999999999999999111821580300,0.001000000000000000020816681712,3288,1,1913
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,388.000000000000000000000000000000,3394,0.998999999999999999111821580300,0.868067785994105278746246767696,5000,885,1
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,204.000000000000000000000000000000,3394,0.520657507280506526292640501197,0.998999999999999999111821580300,5000,1,1842
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,312.000000000000000000000000000000,2926,0.998999999999999999111821580300,0.499531807364026192441741613948,5000,1,1
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,228.000000000000000000000000000000,3187,0.540355712743240235163000306784,0.001000000000000000020816681712,5000,1,3520
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,464.000000000000000000000000000000,3323,0.437028352330372238387923289338,0.757945930115733079723838727659,5000,1,1
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,164.000000000000000000000000000000,2411,0.776735440599640836190076242929,0.998999999999999999111821580300,4129,1,5000
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.787453752429697839687605664949,0.743899345115862975497122988600,1,2819,1028
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1910,0.731685193603503591930348193273,0.615362137891335758688171608810,1,4676,968
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,171.000000000000000000000000000000,3643,0.273056239314802662310199821150,0.629923306639983082710898543155,5000,1,4083
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,640.000000000000000000000000000000,1954,0.998999999999999999111821580300,0.998999999999999999111821580300,3574,1,5000
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,147.000000000000000000000000000000,5000,0.277726916209503182919604569179,0.001000000000000000020816681712,37,2039,5000
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1420,0.998999999999999999111821580300,0.998999999999999999111821580300,4644,266,5000
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1903,0.998999999999999999111821580300,0.326896101589940479836826625615,1,3984,1
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,506.000000000000000000000000000000,5000,0.998999999999999999111821580300,0.592788014779994876235491574334,1994,2230,1
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,94.000000000000000000000000000000,2661,0.476260727090113855641817508513,0.329375889858081583039250972433,5000,1,3609
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.403216278517635196010360232322,0.665615775213072469185249246948,1,2350,3452
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.447155674629176824730336647917,1191,2181,5000
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1854,0.720076944095476401130895283131,0.793646586336046899745610971877,1,4065,1
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,185.000000000000000000000000000000,2589,0.998999999999999999111821580300,0.998999999999999999111821580300,5000,1,2399
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,306.000000000000000000000000000000,2956,0.793700793118439107409756161360,0.880415278423190561518651975348,5000,918,1
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,171.000000000000000000000000000000,1137,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,3292,1
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,174.000000000000000000000000000000,2124,0.001000000000000000020816681712,0.294532694035810560517774092659,3550,3180,1
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1643,0.998999999999999999111821580300,0.958964768660481303719222978543,1,3142,1
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,655.000000000000000000000000000000,1976,0.998999999999999999111821580300,0.001000000000000000020816681712,1293,1,1932
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,197.000000000000000000000000000000,5000,0.102253183427330807120370081975,0.001000000000000000020816681712,5000,872,872
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.930000000000000048849813083507,375.000000000000000000000000000000,3001,0.998999999999999999111821580300,0.438541736677320659332224295213,4999,1,410
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,373.000000000000000000000000000000,3064,0.998999999999999999111821580300,0.001000000000000000020816681712,5000,1,1310
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,212.000000000000000000000000000000,2662,0.998999999999999999111821580300,0.576524716738903486579204127338,3385,1,648
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,144.000000000000000000000000000000,1674,0.020056633743828211624560253767,0.001000000000000000020816681712,1608,3731,140
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,76.000000000000000000000000000000,2320,0.998999999999999999111821580300,0.525221256384978740783253670088,1132,1,372
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,321.000000000000000000000000000000,2911,0.998999999999999999111821580300,0.001000000000000000020816681712,4277,1,523
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,132.000000000000000000000000000000,2496,0.998999999999999999111821580300,0.383496629010754874755662058305,3195,1,1554
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.930000000000000048849813083507,325.000000000000000000000000000000,2936,0.998999999999999999111821580300,0.342362810171823406246716103851,3626,1,1636
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.930000000000000048849813083507,263.000000000000000000000000000000,2821,0.987443980295198087127062080981,0.001000000000000000020816681712,3941,1,3522
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,169.000000000000000000000000000000,2555,0.998999999999999999111821580300,0.155941371076942475459858883369,3955,1,701
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,136.000000000000000000000000000000,2496,0.998999999999999999111821580300,0.001000000000000000020816681712,2662,1,2383
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,239.000000000000000000000000000000,2737,0.998999999999999999111821580300,0.001000000000000000020816681712,4743,1,1075
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.930000000000000048849813083507,242.000000000000000000000000000000,2779,0.998999999999999999111821580300,0.706236076030081094678791941988,3882,1,809
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,124.000000000000000000000000000000,2458,0.998999999999999999111821580300,0.998999999999999999111821580300,4844,1,463
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,373.000000000000000000000000000000,3091,0.998999999999999999111821580300,0.935822789481071892758734520612,5000,1,1401
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,385.000000000000000000000000000000,3150,0.998999999999999999111821580300,0.001000000000000000020816681712,4314,1,2591
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,366.000000000000000000000000000000,2973,0.998999999999999999111821580300,0.001000000000000000020816681712,3619,1,613
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,57.000000000000000000000000000000,2216,0.998999999999999999111821580300,0.001000000000000000020816681712,4088,1,4273
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,355.000000000000000000000000000000,2978,0.787901986401041143359691432124,0.001000000000000000020816681712,4161,1,3721
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.930000000000000048849813083507,333.000000000000000000000000000000,2861,0.998999999999999999111821580300,0.065443102970299399379072724514,4005,1,2147
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,332.000000000000000000000000000000,3039,0.998999999999999999111821580300,0.195705865056282152236732940764,3359,1,3164
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.930000000000000048849813083507,265.000000000000000000000000000000,2864,0.998999999999999999111821580300,0.713305896373654713116252423788,4237,1,2562
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,414.000000000000000000000000000000,3173,0.985365729567506343222760278877,0.001000000000000000020816681712,5000,1,3083
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,58.000000000000000000000000000000,2219,0.998999999999999999111821580300,0.716104676807169271413044953078,3027,1,616
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,219.000000000000000000000000000000,2701,0.998999999999999999111821580300,0.493461902040784217149393953150,4147,1,2046
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,649.000000000000000000000000000000,1993,0.998999999999999999111821580300,0.576052466944343088961488774657,1700,1,3268
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,77.000000000000000000000000000000,2305,0.998999999999999999111821580300,0.001000000000000000020816681712,3673,1,3435
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,457.000000000000000000000000000000,3391,0.998999999999999999111821580300,0.408980418885432017717107555654,4874,1,1180
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,69.000000000000000000000000000000,2272,0.847597507860715526639694417099,0.001000000000000000020816681712,1454,1,200
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,344.000000000000000000000000000000,3069,0.998999999999999999111821580300,0.765114600240059616886867388530,4512,1,472
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,214.000000000000000000000000000000,2307,0.879108122980362449716551509482,0.470622130869894572668954424444,4394,162,1
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,431.000000000000000000000000000000,1387,0.998999999999999999111821580300,0.955675249504684187762393321464,1740,1,2770
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,112.000000000000000000000000000000,2329,0.998999999999999999111821580300,0.559610028163260997402517205046,3846,1,1
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,237.000000000000000000000000000000,2358,0.998999999999999999111821580300,0.630855048881885260847468543943,4264,751,1
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,549.000000000000000000000000000000,3719,0.998999999999999999111821580300,0.998999999999999999111821580300,4253,1,3776
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,97.000000000000000000000000000000,2309,0.622982455728434025843398558209,0.500527369721247672451625021495,4011,1,1
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,615.000000000000000000000000000000,3955,0.998999999999999999111821580300,0.001000000000000000020816681712,5000,1,1
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,216.000000000000000000000000000000,2428,0.256297604376726273489595087085,0.660658108214378425593338306498,2667,3059,1
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,94.000000000000000000000000000000,2303,0.653979130969761790481697971700,0.938746389426254213006473037240,2272,1,1
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,103.000000000000000000000000000000,2305,0.998999999999999999111821580300,0.998999999999999999111821580300,2048,1,1
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,685.000000000000000000000000000000,3892,0.998999999999999999111821580300,0.998999999999999999111821580300,5000,1,1
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,104.000000000000000000000000000000,1228,0.001000000000000000020816681712,0.002972748954171558488646098795,159,5000,1
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,241.000000000000000000000000000000,2462,0.998999999999999999111821580300,0.704466722621570062834450709488,5000,1169,1
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,79.000000000000000000000000000000,2325,0.374226360142679514986241429142,0.767361160110128892597458616365,4470,1,1
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,620.000000000000000000000000000000,3972,0.998999999999999999111821580300,0.001000000000000000020816681712,2411,1,1
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,466.000000000000000000000000000000,1373,0.998999999999999999111821580300,0.657006569769464143782045084663,3839,1,135
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,477.000000000000000000000000000000,3526,0.832481120950114839018851853325,0.998999999999999999111821580300,3135,1,5000
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,139.000000000000000000000000000000,614,0.001000000000000000020816681712,0.001000000000000000020816681712,3679,3338,1
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,700.000000000000000000000000000000,4050,0.998999999999999999111821580300,0.998999999999999999111821580300,3272,1,1778
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,180.000000000000000000000000000000,1318,0.001000000000000000020816681712,0.001000000000000000020816681712,1870,3788,1
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,217.000000000000000000000000000000,2320,0.760972577039797482001404205221,0.548324328337376654118884289346,4511,518,1
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,315.000000000000000000000000000000,2557,0.998999999999999999111821580300,0.881799261864486427775489119085,5000,1795,1
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,204.000000000000000000000000000000,1406,0.001000000000000000020816681712,0.836343549391063034725846137007,5000,3646,1
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,25.000000000000000000000000000000,2866,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,1,1
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,486.000000000000000000000000000000,4364,0.998999999999999999111821580300,0.998999999999999999111821580300,1712,2802,1
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,106.000000000000000000000000000000,2281,0.998999999999999999111821580300,0.365745901942279683094483289096,5000,1,1
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,147.000000000000000000000000000000,2569,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,3321,1
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,229.000000000000000000000000000000,2342,0.998999999999999999111821580300,0.998999999999999999111821580300,2338,690,1
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,653.000000000000000000000000000000,4037,0.998999999999999999111821580300,0.490421498711304915119058023265,5000,1,1771
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,150.000000000000000000000000000000,2479,0.998999999999999999111821580300,0.511677316367469936508882710768,4371,1,1
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,182.000000000000000000000000000000,2223,0.872510691027666096530879258353,0.001000000000000000020816681712,3050,3390,1
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,22.000000000000000000000000000000,2191,0.320919089284318614918589673835,0.998999999999999999111821580300,3186,1,2066
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,448.000000000000000000000000000000,3197,0.801759456152439931031494779745,0.001000000000000000020816681712,3251,2537,1
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,458.000000000000000000000000000000,3688,0.998999999999999999111821580300,0.998999999999999999111821580300,4231,2218,1
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,130.000000000000000000000000000000,2017,0.001000000000000000020816681712,0.001000000000000000020816681712,1737,5000,1
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.930000000000000048849813083507,134.000000000000000000000000000000,228,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,2707,1
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,195.000000000000000000000000000000,3124,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,3106,1
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,159.000000000000000000000000000000,912,0.001000000000000000020816681712,0.001000000000000000020816681712,2453,4256,1
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,854,0.001000000000000000020816681712,0.001000000000000000020816681712,1,5000,1
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,489.000000000000000000000000000000,3900,0.998999999999999999111821580300,0.998999999999999999111821580300,5000,2700,1
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.930000000000000048849813083507,136.000000000000000000000000000000,2141,0.001000000000000000020816681712,0.001000000000000000020816681712,4855,4150,1
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,443.000000000000000000000000000000,3523,0.998999999999999999111821580300,0.998999999999999999111821580300,2850,2535,1
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,187.000000000000000000000000000000,4957,0.815496164217806907004160166252,0.001000000000000000020816681712,392,3221,3584
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,642.000000000000000000000000000000,3667,0.998999999999999999111821580300,0.001000000000000000020816681712,3495,2723,1
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,570.000000000000000000000000000000,3429,0.998999999999999999111821580300,0.001000000000000000020816681712,3387,2990,1
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,337.000000000000000000000000000000,3603,0.484572994344532437249739587060,0.998999999999999999111821580300,5000,2371,1
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,211.000000000000000000000000000000,2225,0.851273762304734504802183892025,0.998999999999999999111821580300,5000,3656,1
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.930000000000000048849813083507,139.000000000000000000000000000000,317,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,3607,1
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,13.000000000000000000000000000000,3337,0.115539344775064722892210511418,0.998999999999999999111821580300,5000,1,5000
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,140.000000000000000000000000000000,659,0.001000000000000000020816681712,0.001000000000000000020816681712,1643,4864,1
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,457.000000000000000000000000000000,3039,0.998999999999999999111821580300,0.001000000000000000020816681712,3826,2287,1
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,194.000000000000000000000000000000,3528,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,2937,1
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1552,0.001000000000000000020816681712,0.001000000000000000020816681712,1,5000,1
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,12.000000000000000000000000000000,5000,0.184950785772944187312916142218,0.998999999999999999111821580300,1583,2820,233
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,228.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,4550,2421,1
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.930000000000000048849813083507,133.000000000000000000000000000000,2196,0.001000000000000000020816681712,0.001000000000000000020816681712,2365,4295,1
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,159.000000000000000000000000000000,887,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,3413,1
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,489.000000000000000000000000000000,4018,0.998999999999999999111821580300,0.998999999999999999111821580300,5000,2286,1
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,190.000000000000000000000000000000,2879,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,3813,1
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,197.000000000000000000000000000000,3219,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,2599,1
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,173.000000000000000000000000000000,1,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,2661,1
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,5.000000000000000000000000000000,2267,0.157113018306690499503730507058,0.001000000000000000020816681712,5000,1,3146
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,114.000000000000000000000000000000,1657,0.001000000000000000020816681712,0.001000000000000000020816681712,4988,4071,2707
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2972,0.872670729444227077920004376210,0.998999999999999999111821580300,1,2986,5000
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,1,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,2548,2240
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3133,0.169475668320903993802062359464,0.981719480586724202453297039028,1,1,1811
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,553,0.998999999999999999111821580300,0.522712648898681964126922139258,1,1,1242
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,281.000000000000000000000000000000,901,0.998999999999999999111821580300,0.998999999999999999111821580300,5000,1,4420
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,3.000000000000000000000000000000,2516,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,1,1898
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,197.000000000000000000000000000000,590,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,3494,1
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3625,0.051374200329876683335239562211,0.001000000000000000020816681712,1,1,301
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,5000,0.998999999999999999111821580300,0.998999999999999999111821580300,1277,2380,4505
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,173,0.998999999999999999111821580300,0.998999999999999999111821580300,1,1,1
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,34.000000000000000000000000000000,2467,0.001000000000000000020816681712,0.001000000000000000020816681712,3842,3847,1255
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,25.000000000000000000000000000000,2327,0.001000000000000000020816681712,0.001000000000000000020816681712,3736,4030,2613
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,82.000000000000000000000000000000,1197,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,4161,1746
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3367,0.513547777011894357457322257687,0.998999999999999999111821580300,1,2920,2361
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,821,0.998999999999999999111821580300,0.001000000000000000020816681712,1,1,5000
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,4349,0.227860656572171055289643959441,0.001000000000000000020816681712,1,2232,1
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,687,0.998999999999999999111821580300,0.001000000000000000020816681712,1,2168,5000
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,265.000000000000000000000000000000,509,0.998999999999999999111821580300,0.001000000000000000020816681712,5000,2387,1
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,913,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,5000,1498
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,514,0.998999999999999999111821580300,0.001000000000000000020816681712,1,1,1
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,674.000000000000000000000000000000,5000,0.998999999999999999111821580300,0.998999999999999999111821580300,2951,1,5000
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.900000000000000022204460492503,126.000000000000000000000000000000,1,0.537767637359954364661973613693,0.001000000000000000020816681712,5000,2337,1
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,3.000000000000000000000000000000,2130,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,1,5000
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,323.000000000000000000000000000000,1010,0.998999999999999999111821580300,0.001000000000000000020816681712,5000,1,3902
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,7.000000000000000000000000000000,1,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,2558,1551
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,201.000000000000000000000000000000,634,0.998999999999999999111821580300,0.998999999999999999111821580300,1556,1,4197
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1032,0.001000000000000000020816681712,0.998999999999999999111821580300,1,1,1
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.900000000000000022204460492503,3.000000000000000000000000000000,1,0.998999999999999999111821580300,0.001000000000000000020816681712,3598,1,2317
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,3077,0.128469481518846628809171761532,0.998999999999999999111821580300,3512,1552,4585
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.900000000000000022204460492503,3.000000000000000000000000000000,1,0.998999999999999999111821580300,0.998999999999999999111821580300,4475,1,2220
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,3822,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,1876,5000
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,2807,0.461825027386400743800720647414,0.998999999999999999111821580300,1438,1477,4379
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.998999999999999999111821580300,0.998999999999999999111821580300,1,5000,1
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,50.000000000000000000000000000000,2195,0.998999999999999999111821580300,0.001000000000000000020816681712,5000,1,2351
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.890000000000000013322676295502,116.000000000000000000000000000000,1,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,5000,1
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,189.000000000000000000000000000000,3187,0.001000000000000000020816681712,0.267579511730295427351933312821,1302,1480,1
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,137.000000000000000000000000000000,2531,0.001000000000000000020816681712,0.001000000000000000020816681712,3852,691,1
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,217.000000000000000000000000000000,3600,0.001000000000000000020816681712,0.998999999999999999111821580300,563,4218,1
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,2302,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,2062,5000
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,225.000000000000000000000000000000,1756,0.001000000000000000020816681712,0.998999999999999999111821580300,4339,5000,1
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,180.000000000000000000000000000000,2516,0.001000000000000000020816681712,0.998999999999999999111821580300,2773,109,1
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,190.000000000000000000000000000000,2855,0.001000000000000000020816681712,0.998999999999999999111821580300,3101,5000,1
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,2795,0.001000000000000000020816681712,0.147092782354108470022069354854,3541,2215,5000
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,4862,0.001000000000000000020816681712,0.001000000000000000020816681712,1,1,1
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3926,0.510044174420753559928698450676,0.998999999999999999111821580300,1,5000,1912
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,4183,0.072329860248263364019827292850,0.998999999999999999111821580300,5000,3623,5000
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,3344,0.001000000000000000020816681712,0.998999999999999999111821580300,1735,1844,4136
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,349,0.998999999999999999111821580300,0.998999999999999999111821580300,1,2954,3560
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,521,0.001000000000000000020816681712,0.998999999999999999111821580300,2046,2428,5000
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3054,0.998999999999999999111821580300,0.998999999999999999111821580300,1,5000,769
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3000,0.310687529876219836744155600172,0.998999999999999999111821580300,1,4986,1
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3759,0.001000000000000000020816681712,0.998999999999999999111821580300,1,1529,1
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,133.000000000000000000000000000000,2036,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,4808,1
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.923558178917067928992423730961,0.998999999999999999111821580300,1,3979,5000
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,10.000000000000000000000000000000,127,0.998999999999999999111821580300,0.998999999999999999111821580300,7,1630,3983
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.900000000000000022204460492503,3.000000000000000000000000000000,1,0.998999999999999999111821580300,0.998999999999999999111821580300,4698,1,717
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,51.000000000000000000000000000000,2190,0.998999999999999999111821580300,0.998999999999999999111821580300,5000,1,1883
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2196,0.998999999999999999111821580300,0.998999999999999999111821580300,1,1,1
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,4.000000000000000000000000000000,2748,0.001000000000000000020816681712,0.376870854493869089640867287017,4001,1,2577
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2203,0.650273743373048440652439694531,0.998999999999999999111821580300,1,1,1
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.900000000000000022204460492503,27.000000000000000000000000000000,2164,0.511049801947079163078058172687,0.001000000000000000020816681712,4278,1,2720
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,2783,5000,3023
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.900000000000000022204460492503,7.000000000000000000000000000000,1,0.998999999999999999111821580300,0.001000000000000000020816681712,834,5000,5000
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,4072,5000,5000
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.191129010741586252697388204069,0.998999999999999999111821580300,1,699,5000
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,1,2649,5000
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,3.000000000000000000000000000000,2197,0.001000000000000000020816681712,0.001000000000000000020816681712,3550,1,2892
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,3349,0.001000000000000000020816681712,0.998999999999999999111821580300,3431,5000,2783
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,577.000000000000000000000000000000,1982,0.739494439990998730927174165117,0.998999999999999999111821580300,5000,1,1975
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,178.000000000000000000000000000000,1799,0.001000000000000000020816681712,0.001000000000000000020816681712,4186,3746,1
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,132.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.001000000000000000020816681712,1499,2548,1656
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.080722488697710717553412962388,0.998999999999999999111821580300,1,2438,4281
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.998999999999999999111821580300,0.998999999999999999111821580300,1,5000,5000
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,7.000000000000000000000000000000,1,0.740243477068805777463467165944,0.001000000000000000020816681712,2501,3303,5000
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,122.000000000000000000000000000000,1860,0.001000000000000000020816681712,0.001000000000000000020816681712,4207,3701,555
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2690,0.998999999999999999111821580300,0.998999999999999999111821580300,1,1,1
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2911,0.238948164531387646780657973977,0.998999999999999999111821580300,1,2189,5000
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.900000000000000022204460492503,7.000000000000000000000000000000,1,0.998999999999999999111821580300,0.001000000000000000020816681712,4432,5000,5000
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.666424284271793898604130390595,3003,2291,2611
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1860,0.613137452108378111503839136276,0.998999999999999999111821580300,4257,5000,2992
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.968249330919736084233306883107,0.998999999999999999111821580300,1,3892,5000
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,58,0.998999999999999999111821580300,0.998999999999999999111821580300,5000,3180,2133
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,1,4203,3731
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,201.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.001000000000000000020816681712,2601,1844,1
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1441,0.084051032240807593831632971160,0.998999999999999999111821580300,1,1,2546
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1210,0.001000000000000000020816681712,0.998999999999999999111821580300,1,5000,1744
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,3.000000000000000000000000000000,2442,0.031030457361179021591457427576,0.998999999999999999111821580300,4782,1,3887
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1346,0.001000000000000000020816681712,0.998999999999999999111821580300,1,2890,1
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,129.000000000000000000000000000000,645,0.001000000000000000020816681712,0.001000000000000000020816681712,4942,354,1
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,228.000000000000000000000000000000,1697,0.001000000000000000020816681712,0.998999999999999999111821580300,2942,3332,1
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,159.000000000000000000000000000000,942,0.001000000000000000020816681712,0.001000000000000000020816681712,4561,1549,1
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2165,0.001000000000000000020816681712,0.725865105471687033222849549929,1,3682,1
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,1,2316,1
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,202.000000000000000000000000000000,1188,0.001000000000000000020816681712,0.998999999999999999111821580300,3750,1636,1
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,6.000000000000000000000000000000,1,0.001000000000000000020816681712,0.001000000000000000020816681712,4080,1,1
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.983093700178904295050585915305,0.998999999999999999111821580300,5000,2297,4739
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.001000000000000000020816681712,0.001000000000000000020816681712,3621,2036,5000
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,32,0.001000000000000000020816681712,0.998999999999999999111821580300,1,2809,1
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,61.000000000000000000000000000000,2418,0.460509330773339498055207741345,0.001000000000000000020816681712,4144,1,4346
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3554,0.998999999999999999111821580300,0.998999999999999999111821580300,1,5000,3590
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.618636405037801817563547501777,0.998999999999999999111821580300,1,1,4189
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,2435,0.001000000000000000020816681712,0.998999999999999999111821580300,3196,5000,5000
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,5000,3542
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,178.000000000000000000000000000000,1609,0.001000000000000000020816681712,0.001000000000000000020816681712,4602,2304,1
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,10.000000000000000000000000000000,1,0.411424336116480382496973788875,0.998999999999999999111821580300,5000,2086,4767
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3273,0.001000000000000000020816681712,0.998999999999999999111821580300,1,1,4177
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,2774,0.396858226770089972390564980742,0.998999999999999999111821580300,5000,5000,5000
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,3434,2409,5000
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,7.000000000000000000000000000000,4055,0.001000000000000000020816681712,0.001000000000000000020816681712,4793,1,4175
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1550,0.001000000000000000020816681712,0.998999999999999999111821580300,1,1809,1
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,202.000000000000000000000000000000,1162,0.001000000000000000020816681712,0.998999999999999999111821580300,2432,2642,1
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.568598307061955243746353971801,0.848608033686688911778617239179,1,2234,5000
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.479579100762212495734360118149,0.998999999999999999111821580300,1,1,5000
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2905,0.998999999999999999111821580300,0.998999999999999999111821580300,1,3890,2412
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,16.000000000000000000000000000000,365,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,1,1
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1900,0.998999999999999999111821580300,0.001000000000000000020816681712,1,5000,1794
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.522027026582310704760914177314,0.998999999999999999111821580300,3145,2888,4741
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,5.000000000000000000000000000000,4199,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,1,5000
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,175.000000000000000000000000000000,1838,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,1283,1
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1598,0.998999999999999999111821580300,0.998999999999999999111821580300,4450,2024,2500
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,169.000000000000000000000000000000,1698,0.001000000000000000020816681712,0.001000000000000000020816681712,4670,142,1
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,3.000000000000000000000000000000,2524,0.001000000000000000020816681712,0.001000000000000000020816681712,3763,1,4417
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.496472822552683934471673410371,0.998999999999999999111821580300,1,5000,5000
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.287188416227910303657466783989,1,5000,1
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,45.000000000000000000000000000000,1700,0.001000000000000000020816681712,0.001000000000000000020816681712,3547,1,1
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3041,0.526853690035561705862221515417,0.998999999999999999111821580300,1,5000,5000
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,131.000000000000000000000000000000,2055,0.001000000000000000020816681712,0.001000000000000000020816681712,4577,2241,1
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1928,0.691908773136874710729671278386,0.998999999999999999111821580300,1,4610,2974
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.388194639398957319631477957955,0.418746270619397731316269073432,1,5000,2989
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.774954725393383503373456733243,0.998999999999999999111821580300,3710,5000,2923
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,14.000000000000000000000000000000,2119,0.001000000000000000020816681712,0.001000000000000000020816681712,2159,5000,5000
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.001000000000000000020816681712,0.998999999999999999111821580300,1,5000,5000
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1263,0.477644414368196379427899955772,0.998999999999999999111821580300,3473,5000,3633
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,515.000000000000000000000000000000,1750,0.725658121502612885045380153315,0.001000000000000000020816681712,3662,1,3885
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.998999999999999999111821580300,0.998999999999999999111821580300,5000,5000,3471
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,547.000000000000000000000000000000,1785,0.998999999999999999111821580300,0.001000000000000000020816681712,3989,1,2959
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.320277335873994817294629910975,0.998999999999999999111821580300,1,5000,3797
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.318178302276046820473709431099,0.998999999999999999111821580300,1968,5000,5000
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2134,0.434018580189984681805270838595,0.998999999999999999111821580300,1,5000,3169
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.480019316323210876173988026494,0.998999999999999999111821580300,1,1448,1
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,1,2792,2492
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,5000,0.390015339436849128862405677864,0.998999999999999999111821580300,1513,5000,5000
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1503,0.001000000000000000020816681712,0.998999999999999999111821580300,3708,4789,3957
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,2120,0.315352204123727386519959736688,0.998999999999999999111821580300,3972,3421,4626
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,178.000000000000000000000000000000,1702,0.001000000000000000020816681712,0.001000000000000000020816681712,4352,978,1
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,5.000000000000000000000000000000,1361,0.001000000000000000020816681712,0.001000000000000000020816681712,3444,1,4210
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,7.000000000000000000000000000000,1,0.804719447482690974915442438942,0.001000000000000000020816681712,3849,955,5000
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,1,5000,1793
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,6.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,1618,1,3446
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,34,0.998999999999999999111821580300,0.998999999999999999111821580300,2632,5000,2531
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,116.000000000000000000000000000000,1558,0.001000000000000000020816681712,0.001000000000000000020816681712,4867,1028,515
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,108.000000000000000000000000000000,1575,0.001000000000000000020816681712,0.001000000000000000020816681712,3769,2579,752
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,232.000000000000000000000000000000,1802,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,1122,1
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.844596180135781082753965165466,0.998999999999999999111821580300,1,5000,2460
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,5.000000000000000000000000000000,2012,0.249970540523021700352046536864,0.001000000000000000020816681712,5000,1,5000
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,7.000000000000000000000000000000,1,0.083093773891480010584942306195,0.001000000000000000020816681712,5000,5000,5000
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,48.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,1759,1,1
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1348,0.998999999999999999111821580300,0.998999999999999999111821580300,1,1,1
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,5.000000000000000000000000000000,1511,0.001000000000000000020816681712,0.001000000000000000020816681712,4518,1,460
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,66.000000000000000000000000000000,861,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,1515,3542
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,7.000000000000000000000000000000,1,0.001000000000000000020816681712,0.001000000000000000020816681712,3161,5000,3777
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,183.000000000000000000000000000000,2019,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,2002,1
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,4203,0.001000000000000000020816681712,0.998999999999999999111821580300,4306,3178,3397
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3695,0.124507305425975128843063544082,0.998999999999999999111821580300,1,1,1
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,38.000000000000000000000000000000,1574,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,1,1
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1925,0.512458354101144042402893319377,0.998999999999999999111821580300,1,5000,1487
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2041,0.001000000000000000020816681712,0.001000000000000000020816681712,1,1566,1454
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,924,0.549241433949045010365352936788,0.001000000000000000020816681712,1,1,5000
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.508041389322890446500480265968,0.998999999999999999111821580300,1,5000,4462
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.110165427288851244802536655243,0.998999999999999999111821580300,1,1,1673
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,4.000000000000000000000000000000,804,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,1,1494
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,102.000000000000000000000000000000,3549,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,2899,4426
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,140,0.998999999999999999111821580300,0.001000000000000000020816681712,1,5000,2664
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,4376,0.001000000000000000020816681712,0.998999999999999999111821580300,2845,5000,4522
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,10.000000000000000000000000000000,2201,0.001000000000000000020816681712,0.998999999999999999111821580300,2374,4974,466
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2447,0.998999999999999999111821580300,0.998999999999999999111821580300,1,1894,662
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.998999999999999999111821580300,0.998999999999999999111821580300,5000,5000,2042
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,45.000000000000000000000000000000,3587,0.001000000000000000020816681712,0.001000000000000000020816681712,3729,1,1
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1536,0.565175512292242054890323288419,0.998999999999999999111821580300,1,2629,1
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,83.000000000000000000000000000000,2692,0.356689615700770179529399683815,0.001000000000000000020816681712,5000,1,5000
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,160,1,1
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.998999999999999999111821580300,0.998999999999999999111821580300,1,5000,1770
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,53.000000000000000000000000000000,4486,0.001000000000000000020816681712,0.998999999999999999111821580300,3256,1,1
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.001000000000000000020816681712,0.998999999999999999111821580300,1,2876,2532
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,4376,0.001000000000000000020816681712,0.998999999999999999111821580300,2228,3530,3384
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,158.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,4498,1602
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,58.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.001000000000000000020816681712,2754,1,1
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2255,0.001000000000000000020816681712,0.998999999999999999111821580300,1,4238,1342
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,3418,0.001000000000000000020816681712,0.998999999999999999111821580300,2073,3428,5000
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,4169,0.001000000000000000020816681712,0.001000000000000000020816681712,1,1,3465
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,105.000000000000000000000000000000,2387,0.998999999999999999111821580300,0.001000000000000000020816681712,4761,1,3163
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,5.000000000000000000000000000000,1786,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,1,5000
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,3.000000000000000000000000000000,2594,0.001000000000000000020816681712,0.998999999999999999111821580300,3621,1,5000
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,7.000000000000000000000000000000,1,0.001000000000000000020816681712,0.001000000000000000020816681712,5000,2692,4343
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,51.000000000000000000000000000000,3902,0.001000000000000000020816681712,0.001000000000000000020816681712,2013,1,1
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,4481,0.998999999999999999111821580300,0.998999999999999999111821580300,3858,5000,2123
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,201.000000000000000000000000000000,3018,0.001000000000000000020816681712,0.998999999999999999111821580300,3254,2298,1
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,50.000000000000000000000000000000,4350,0.001000000000000000020816681712,0.998999999999999999111821580300,997,1,1
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,3357,0.725616406367838417956761531968,0.998999999999999999111821580300,1,3187,1
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,54.000000000000000000000000000000,708,0.001000000000000000020816681712,0.001000000000000000020816681712,470,5000,2636
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,9.000000000000000000000000000000,1,0.683495588404321563480436907412,0.998999999999999999111821580300,2644,4212,3216
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,2567,0.148647507586943811164204021225,0.998999999999999999111821580300,1,3389,3323
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,216.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,3464,1088,1
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1891,0.150551567251079376763556183505,0.001000000000000000020816681712,1,5000,4519
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,4249,0.316125385488283949797505556489,0.998999999999999999111821580300,1873,5000,3454
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.001000000000000000020816681712,0.998999999999999999111821580300,1,5000,1202
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,215.000000000000000000000000000000,3550,0.001000000000000000020816681712,0.998999999999999999111821580300,2280,4333,1
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.001000000000000000020816681712,0.998999999999999999111821580300,2288,1,1
481,481_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,32.000000000000000000000000000000,3146,0.001000000000000000020816681712,0.001000000000000000020816681712,3094,1,1
482,482_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,51.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,1230,1,1
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,191.000000000000000000000000000000,3613,0.001000000000000000020816681712,0.001000000000000000020816681712,2974,1690,1
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,5.000000000000000000000000000000,3980,0.001000000000000000020816681712,0.001000000000000000020816681712,2711,1,665
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,181.000000000000000000000000000000,2571,0.998999999999999999111821580300,0.001000000000000000020816681712,4779,1,2184
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,5.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.001000000000000000020816681712,4085,1,3494
487,487_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,34.000000000000000000000000000000,3293,0.001000000000000000020816681712,0.998999999999999999111821580300,3022,1,1
488,488_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,48.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.001000000000000000020816681712,1162,1,1
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,1,807,3169
490,490_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.447090615583192019233393921240,0.001000000000000000020816681712,4991,5000,3676
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,3191,0.998999999999999999111821580300,0.998999999999999999111821580300,2900,5000,1896
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,24.000000000000000000000000000000,2862,0.001000000000000000020816681712,0.998999999999999999111821580300,1717,1,1
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,84,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,5000,3806
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1155,0.346124237068542395245884790711,0.998999999999999999111821580300,4560,3099,3674
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,1.000000000000000000000000000000,1610,0.243359215635595482751796225784,0.998999999999999999111821580300,1,1,5000
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,8.000000000000000000000000000000,1,0.462161120605266206862182798432,0.998999999999999999111821580300,5000,5000,3310
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,5.000000000000000000000000000000,4414,0.001000000000000000020816681712,0.080584273052024091299472274841,1637,1,1326
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.920000000000000039968028886506,49.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,2555,1,1
499,499_0,COMPLETED,BoTorch,GenerationStep_1,0.910000000000000031086244689504,7.000000000000000000000000000000,1927,0.001000000000000000020816681712,0.001000000000000000020816681712,2975,1,364
500,500_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,8.000000000000000000000000000000,3030,0.609782988548278837015459430404,0.829114711999893172489350945398,3313,2053,1522
501,501_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,8.000000000000000000000000000000,451,0.316229567740112516016637300709,0.203287851447239514834919305031,1943,2678,3242
502,502_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,8.000000000000000000000000000000,2008,0.962815126705914736682245802513,0.603878098014742126231624297361,4743,4053,3899
503,503_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,10.000000000000000000000000000000,4587,0.228125202205032101554493806361,0.488956168271601210317811592176,1099,928,929
504,504_0,RUNNING,Sobol,SOBOL,,,3930,0.866580355981364847117731642356,0.078034311883151533106861563738,548,367,2488
505,505_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,10.000000000000000000000000000000,1353,0.075028184728696947769499558945,0.953391414273530246603627347213,4198,4742,2959
506,506_0,RUNNING,Sobol,SOBOL,,,1034,0.705012935014441621817127270333,0.363734607705846424430262686656,1393,3529,4787
507,507_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,8.000000000000000000000000000000,3612,0.470331890935078267279578767557,0.728126330001279686854331885115,2767,1654,567
508,508_0,RUNNING,Sobol,SOBOL,,,3295,0.904167935810983203204216351878,0.259711852265521903060374597771,3879,2896,989
509,509_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,10.000000000000000000000000000000,716,0.169999579608440393174717542024,0.647459686854854221671473624156,244,2271,4269
510,510_0,RUNNING,Sobol,SOBOL,,,1670,0.551446596041321734915641172847,0.050059376735240218581068916137,3084,984,3611
511,511_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,8.000000000000000000000000000000,4248,0.257432518161833268077742786772,0.917532260917127140409377261676,1704,4109,1581
512,512_0,RUNNING,Sobol,SOBOL,,,4893,0.646401941007003211225878658297,0.523183121211826751562057324918,2248,4687,2
513,513_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,9.000000000000000000000000000000,2316,0.412173938004300022264203562372,0.384965494070202085552523385559,3631,312,4532
514,514_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,10.000000000000000000000000000000,145,0.808268677813932301390309476119,0.793283926689997365144790819613,787,1436,2703
515,515_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,9.000000000000000000000000000000,2722,0.016202552398666740518518025738,0.175280805317685001165628477793,4428,3311,1923
516,516_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,11.000000000000000000000000000000,2558,0.766505103301256873749025544384,0.670622641574591393798243643687,1556,739,4494
517,517_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,9.000000000000000000000000000000,293,0.034773396942764524253366431594,0.298438100442290299429970445999,2604,3864,274
518,518_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,9.000000000000000000000000000000,2485,0.682287404585629753128728225420,0.893942431276664173367407784099,409,2572,2118
519,519_0,FAILED,Sobol,SOBOL,,,4749,0.383887458112090851347630859891,0.010784427465870976420303506416,4337,1947,2588
520,520_0,FAILED,Sobol,SOBOL,,,4080,0.525307296851649896396452277259,0.423658818917348967136859982929,4888,1839,4152
521,521_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,10.000000000000000000000000000000,1813,0.291566710071638202084187696528,0.546374065687879939545723573247,954,3714,1182
522,522_0,FAILED,Sobol,SOBOL,,,880,0.924490040870383333881932230724,0.136037827610969552782904656851,3154,4853,1854
523,523_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,10.000000000000000000000000000000,3146,0.126088842982426285743713378906,0.769665155526250588380321460136,2102,478,3574
524,524_0,FAILED,Sobol,SOBOL,,,3463,0.748908450804650738241718954669,0.242530462946742769725361199562,638,4237,2997
525,525_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,10.000000000000000000000000000000,1198,0.449994550168514251264895165150,0.852733121603727384218984752806,4576,1112,2217
526,526_0,FAILED,Sobol,SOBOL,,,1497,0.832461384907364876362123595754,0.450262242993339889540749254593,2420,2472,373
527,527_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,9.000000000000000000000000000000,3762,0.101182719625532629992292754650,0.580686553107574554566383540077,3459,3097,4903
528,528_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,8.000000000000000000000000000000,4442,0.991086370890960077773002012691,0.976981595249846623829625968938,2915,3188,3358
529,529_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,8.000000000000000000000000000000,2176,0.192224517790600651911958607343,0.117309612488374112593270126581,1873,1313,1328
530,530_0,COMPLETED,Sobol,SOBOL,0.910000000000000031086244689504,12.000000000000000000000000000000,600,0.591227381570264665100467027514,0.704963960841298087345307976648,4033,105,656
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,1.000000000000000000000000000000,1239,0.648962928898342505945606717432,0.998999999999999999111821580300,1,1544,935
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,1.000000000000000000000000000000,2571,0.001000000000000000020816681712,0.998999999999999999111821580300,1,5000,5000
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,10.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,5000,2731,3670
534,534_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3765,0.001000000000000000020816681712,0.001000000000000000020816681712,1581,5000,2553
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,1.000000000000000000000000000000,1622,0.591211298665927253992435908003,0.998999999999999999111821580300,1,967,5000
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,8.000000000000000000000000000000,1901,0.998999999999999999111821580300,0.998999999999999999111821580300,3456,5000,2748
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,12.000000000000000000000000000000,2040,0.456716024953152943677281427881,0.998999999999999999111821580300,5000,1838,3716
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,8.000000000000000000000000000000,1604,0.998999999999999999111821580300,0.998999999999999999111821580300,3413,3044,3218
539,539_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3187,0.001000000000000000020816681712,0.998999999999999999111821580300,3170,1012,1
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,12.000000000000000000000000000000,1,0.998999999999999999111821580300,0.998999999999999999111821580300,3517,2848,3268
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.001000000000000000020816681712,1,5000,2439
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,9.000000000000000000000000000000,1,0.001000000000000000020816681712,0.001000000000000000020816681712,3563,5000,5000
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,1.000000000000000000000000000000,1859,0.998999999999999999111821580300,0.998999999999999999111821580300,1,3314,1607
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,12.000000000000000000000000000000,2489,0.998999999999999999111821580300,0.998999999999999999111821580300,3408,1270,572
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,1.000000000000000000000000000000,314,0.508176915161464570758198533440,0.998999999999999999111821580300,1,1,1
546,546_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2329,0.001000000000000000020816681712,0.001000000000000000020816681712,3446,3929,1
547,547_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2910,0.001000000000000000020816681712,0.998999999999999999111821580300,1183,1,1
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.277660286631279618063672387507,0.998999999999999999111821580300,1,198,1
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,1.000000000000000000000000000000,5000,0.001000000000000000020816681712,0.998999999999999999111821580300,1,1629,1593
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,14.000000000000000000000000000000,385,0.001000000000000000020816681712,0.578800555776497249738099526439,5000,1157,5000
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,1.000000000000000000000000000000,1,0.998999999999999999111821580300,0.998999999999999999111821580300,1,2973,2097
552,552_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2160,0.001000000000000000020816681712,0.001000000000000000020816681712,3518,3351,1
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.900000000000000022204460492503,7.000000000000000000000000000000,1,0.998999999999999999111821580300,0.001000000000000000020816681712,5000,2138,3783
554,554_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2414,0.001000000000000000020816681712,0.001000000000000000020816681712,3558,3666,1
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.910000000000000031086244689504,3.000000000000000000000000000000,1,0.237476178932516684971787412906,0.998999999999999999111821580300,5000,1,5000
556,556_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,0.998999999999999999111821580300,0.998999999999999999111821580300,2062,1797,437
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
⚠ Job 4513235 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513235/4513235_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513235/4513235_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:11:17,030) - Starting with JobEnvironment(job_id=4513235, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:11:17,032) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513235/4513235_submitted.pkl
slurmstepd: error: *** JOB 4513235 ON i7180 CANCELLED AT 2025-04-17T19:41:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4513235.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513235/4513235_0_log.err not found


⚠ Job 4516024 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516024/4516024_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516024/4516024_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:51:54,371) - Starting with JobEnvironment(job_id=4516024, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:51:54,377) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516024/4516024_submitted.pkl
slurmstepd: error: *** JOB 4516024 ON i7185 CANCELLED AT 2025-04-17T20:22:07 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4516024.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516024/4516024_0_log.err not found


⚠ Job 4516036 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516036/4516036_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516036/4516036_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:52:17,933) - Starting with JobEnvironment(job_id=4516036, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:52:17,949) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516036/4516036_submitted.pkl
slurmstepd: error: *** JOB 4516036 ON i7186 CANCELLED AT 2025-04-17T20:22:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4516036.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516036/4516036_0_log.err not found


⚠ Job 4516062 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516062/4516062_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516062/4516062_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:52:37,235) - Starting with JobEnvironment(job_id=4516062, hostname=i7177, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:52:37,237) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516062/4516062_submitted.pkl
slurmstepd: error: *** JOB 4516062 ON i7177 CANCELLED AT 2025-04-17T20:22:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4516062.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516062/4516062_0_log.err not found


⚠ Job 4516099 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516099/4516099_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516099/4516099_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:53:23,895) - Starting with JobEnvironment(job_id=4516099, hostname=i7178, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:53:23,901) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516099/4516099_submitted.pkl
slurmstepd: error: *** JOB 4516099 ON i7178 CANCELLED AT 2025-04-17T20:23:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4516099.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516099/4516099_0_log.err not found


⚠ Job 4519384 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4519384/4519384_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4519384/4519384_0_log.out
----------------------------------------
submitit INFO (2025-04-17 20:58:55,588) - Starting with JobEnvironment(job_id=4519384, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 20:58:55,590) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4519384/4519384_submitted.pkl
slurmstepd: error: *** JOB 4519384 ON i7185 CANCELLED AT 2025-04-17T21:29:08 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4519384.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4519384/4519384_0_log.err not found


⚠ Job 4607513 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607513/4607513_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607513/4607513_0_log.out
----------------------------------------
submitit INFO (2025-04-20 15:28:57,712) - Starting with JobEnvironment(job_id=4607513, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-20 15:28:57,715) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607513/4607513_submitted.pkl
slurmstepd: error: *** JOB 4607513 ON i7185 CANCELLED AT 2025-04-20T15:59:10 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4607513.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607513/4607513_0_log.err not found


⚠ Job 4608043 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608043/4608043_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608043/4608043_0_log.out
----------------------------------------
submitit INFO (2025-04-20 21:20:39,537) - Starting with JobEnvironment(job_id=4608043, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-20 21:20:39,539) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608043/4608043_submitted.pkl
slurmstepd: error: *** JOB 4608043 ON i7185 CANCELLED AT 2025-04-20T21:50:56 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4608043.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608043/4608043_0_log.err not found


⚠ Job 4610257 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610257/4610257_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610257/4610257_0_log.out
----------------------------------------
submitit INFO (2025-04-21 21:44:40,106) - Starting with JobEnvironment(job_id=4610257, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-21 21:44:40,110) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610257/4610257_submitted.pkl
slurmstepd: error: *** JOB 4610257 ON i7185 CANCELLED AT 2025-04-21T22:14:44 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4610257.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610257/4610257_0_log.err not found


⚠ Job 4610872 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610872/4610872_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610872/4610872_0_log.out
----------------------------------------
submitit INFO (2025-04-22 07:07:32,691) - Starting with JobEnvironment(job_id=4610872, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-22 07:07:32,695) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610872/4610872_submitted.pkl
slurmstepd: error: *** JOB 4610872 ON i7185 CANCELLED AT 2025-04-22T07:37:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4610872.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610872/4610872_0_log.err not found

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
			
			<h1>&nbsp;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>None                                                                                                                        </td></tr><tr><td> run_program</td><td>None                                                                                                                        </td></tr><tr><td> experiment_name</td><td>None                                                                                                                        </td></tr><tr><td> mem_gb</td><td>1                                                                                                                           </td></tr><tr><td> parameter</td><td>None                                                                                                                        </td></tr><tr><td> continue_previous_job</td><td>/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDLEEDS_Ozone_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0 </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                        </td></tr><tr><td> run_dir</td><td>runs                                                                                                                        </td></tr><tr><td> seed</td><td>None                                                                                                                        </td></tr><tr><td> decimalrounding</td><td>4                                                                                                                           </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>None                                                                                                                        </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>False                                                                                                                       </td></tr><tr><td> ui_url</td><td>None                                                                                                                        </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                              </td></tr><tr><td> exclude</td><td>None                                                                                                                        </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                           </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                           </td></tr><tr><td> max_nr_of_zero_results</td><td>10                                                                                                                          </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                       </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                        </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                       </td></tr><tr><td> live_share</td><td>False                                                                                                                       </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                       </td></tr><tr><td> workdir</td><td>False                                                                                                                       </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                      </td></tr><tr><td> result_names</td><td>[&#039;RESULT=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>False                                                                                                                       </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                        </td></tr><tr><td> load_data_from_existing_jobs</td><td>[]                                                                                                                          </td></tr><tr><td> n_estimators_randomforest</td><td>100                                                                                                                         </td></tr><tr><td> external_generator</td><td>None                                                                                                                        </td></tr><tr><td> username</td><td>None                                                                                                                        </td></tr><tr><td> max_failed_jobs</td><td>None                                                                                                                        </td></tr><tr><td> num_parallel_jobs</td><td>20                                                                                                                          </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></td></tr><tr><td> partition</td><td></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">1744909333.8785703,20,0,0
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1744911872.44307,20,1,5
1744911882.6926873,20,1,5
1744911893.0047903,20,1,5
1744911903.1310532,20,1,5
1744911913.3469524,20,1,5
1744911923.6839838,20,1,5
1744911935.7070105,20,1,5
1744911946.4790037,20,1,5
1744911956.9016523,20,1,5
1744911967.239569,20,1,5
1744911977.679184,20,1,5
1744911988.005458,20,1,5
1744911998.3927307,20,1,5
1744912008.6487231,20,1,5
1744912019.0312214,20,1,5
1744912029.491473,20,1,5
1744912039.8665347,20,1,5
1744912050.994417,20,1,5
1744912061.8429992,20,1,5
1744912072.6819263,20,1,5
1744912083.1627066,20,1,5
1744912093.5404148,20,1,5
1744912103.9700608,20,1,5
1744912114.4408395,20,1,5
1744912124.7991426,20,1,5
1744912135.250169,20,1,5
1744912145.5932035,20,1,5
1744912155.9650865,20,1,5
1744912166.3810923,20,1,5
1744912176.7711368,20,1,5
1744912187.250292,20,1,5
1744912197.694885,20,1,5
1744912208.0931168,20,1,5
1744912218.505656,20,1,5
1744912228.8545868,20,1,5
1744912239.2721164,20,1,5
1744912249.7378762,20,1,5
1744912259.9487011,20,1,5
1744912280.378117,20,1,5
1744912288.723867,20,0,0
1744912300.1638875,20,0,0
1744912301.1374133,20,0,0
1744912301.3329163,20,0,0
1744912303.0190704,20,1,5
1744912308.7901738,20,1,5
1744912309.6940422,20,1,5
1744912309.873665,20,1,5
1744912311.2531106,20,2,10
1744912319.8060005,20,2,10
1744912320.6333146,20,2,10
1744912320.8045444,20,2,10
1744912322.8745782,20,3,15
1744912333.8242104,20,3,15
1744912334.6153371,20,3,15
1744912334.8116531,20,3,15
1744912336.1178727,20,4,20
1744912350.1099198,20,4,20
1744912351.0190353,20,4,20
1744912351.2073176,20,4,20
1744912352.5902767,20,5,25
1744912355.6105592,20,5,25
1744912369.9613283,20,4,20
1744912370.1706648,20,4,20
1744912371.1069138,20,4,20
1744912371.2885811,20,4,20
1744912373.010582,20,5,25
1744912379.054162,20,5,25
1744912390.4719486,20,4,20
1744912390.5346577,20,4,20
1744912391.3556767,20,4,20
1744912391.537409,20,4,20
1744912392.9771776,20,5,25
1744912409.4830985,20,5,25
1744912410.431773,20,5,25
1744912410.5996964,20,5,25
1744912412.0807347,20,6,30
1744912421.2233531,20,6,30
1744912432.6641734,20,5,25
1744912432.8074253,20,5,25
1744912433.6629536,20,5,25
1744912433.8526132,20,5,25
1744912435.2138565,20,6,30
1744912446.5905585,20,6,30
1744912455.0266178,20,5,25
1744912456.2038186,20,5,25
1744912456.997987,20,5,25
1744912457.1610947,20,5,25
1744912458.5040948,20,6,30
1744912470.326546,20,6,30
1744912479.4357142,20,5,25
1744912479.7912223,20,5,25
1744912480.652679,20,5,25
1744912480.8267267,20,5,25
1744912482.1548314,20,6,30
1744912493.6537728,20,6,30
1744912501.676953,20,5,25
1744912501.823882,20,5,25
1744913689.8356898,20,5,25
1744913690.136986,20,5,25
1744913691.4754977,20,6,30
1744913703.3119254,20,6,30
1744913711.7352793,20,5,25
1744913711.918605,20,5,25
1744914914.062232,20,5,25
1744914914.3166661,20,5,25
1744914916.0246077,20,6,30
1744914931.4248211,20,6,30
1744914951.016229,20,5,25
1744914970.6154053,20,4,20
1744914989.4567246,20,3,15
1744914994.2209632,20,2,10
1744914997.8479533,20,1,5
1744915004.1390054,20,0,0
1744915004.2089546,20,0,0
1744915780.5413768,20,0,0
1744915780.7159846,20,0,0
1744915782.1411223,20,1,5
1744915787.9851673,20,1,5
1744916322.0319705,20,1,5
1744916322.3300393,20,1,5
1744916324.0665474,20,2,10
1744916324.6692977,20,2,10
1744916334.6855915,20,1,5
1744916334.7556045,20,1,5
1744917290.1864,20,1,5
1744917290.6896386,20,1,5
1744917292.3057156,20,2,10
1744917303.4478672,20,2,10
1744934606.358462,20,2,10
1744934607.0078585,20,2,10
1744934608.9930198,20,3,15
1744934624.6451118,20,3,15
1744934628.7980857,20,2,10
1744934637.7399416,20,1,5
1744934637.8362246,20,1,5
1744974737.1166418,20,1,5
1744974737.5196853,20,1,5
1744974739.177804,20,2,10
1744974739.7708414,20,2,10
1744974748.7314885,20,1,5
1744974748.9211493,20,1,5
1745003326.002486,20,1,5
1745003326.4517784,20,1,5
1745003328.3389885,20,2,10
1745003329.0126572,20,2,10
1745003340.3149772,20,1,5
1745003340.4423463,20,1,5
1745018664.0132365,20,1,5
1745018664.563215,20,1,5
1745018666.3896642,20,2,10
1745018666.9654112,20,2,10
1745018675.8725746,20,1,5
1745018676.0124252,20,1,5
</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
1744909333,650.6875,17.0
1744909333,650.69140625,51.1
1744909333,650.75,49.6
1744909333,650.75,20.0
1744909333,650.75,13.5
1744909333,650.75,30.5
1744909333,650.75,37.5
1744909860,709.0078125,25.1
1744909860,709.0078125,65.3
1744909860,709.0078125,66.1
1744909860,709.0078125,27.6
1745018683,1361.0234375,68.9
1745018683,1361.0234375,66.5
1745018684,1361.0234375,65.2
1745018684,1361.0234375,66.7
</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>