OmniOpt2

Setting	Value
Max. nr. evaluations	992
Number random steps	20
Nr. of workers (parameter)	20
Main process memory (GB)	8
Worker memory (GB)	1
Nr. imported jobs	492
Name	Type	Lower bound	Upper bound	Type	Log Scale?
recent_samples_size	int	1	5000	int	No
max_window_size	int	1	5000	int	No
min_window_size	int	1	5000	int	No
min_p_value	float	0.0001	0.999	float	No
Failed	Succeeded	Running	Total
172	588	1	761
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/DAWIDD_OutdoorObjects_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
<!DOCTYPE html>
<html lang='en'>
	<head>
		<meta charset='UTF-8'>
		<meta name='viewport' content='width=device-width, initial-scale=1.0'>
		<title>Exported &raquo;s4122485/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1&laquo; from OmniOpt2-Share</title>
		<script src='https://code.jquery.com/jquery-3.7.1.js'></script>
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			menu[role="tablist"] button {
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			td.gridjs-td {
				overflow: clip;
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				height: fit-content;
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				min-width: 100%;
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				display: inline-block;
				padding: 5px 5px;
				background-color: #007bff; /* Blau, kannst du anpassen */
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				font-size: 16px;
				font-weight: bold;
				border-radius: 6px;
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				border-top-color: rgb(145, 155, 156);
				border-bottom-color: rgb(145, 155, 156);
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				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				position: relative;
				padding: 5px 32px 32px 5px;
				background-position: top 50% right 2px;
				background-repeat: no-repeat;
				border-radius: 0;
				border: 1px solid black;
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				background-color: #fafafa;
				text-shadow: 0 0.05em 0.1em rgba(0,0,0,0.2);
				scroll-behavior: smooth;
				text-wrap: balance;
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			.time_picker_container > input {
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			#commands {
				line-break: anywhere;
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			.color_red {
				color: red;
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				transition: background-color 0.3s, color 0.3s;
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				position: absolute;
				border-radius: 8px;
				padding: 2px;
				color: white;
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				border-left: 8px solid #3498db;
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				position: relative;
				cursor: pointer;
				margin-left: 10px;
				color: blue;
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			#statusBar {
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			.error_line {
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				color: white !important;
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			.header_table {
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				padding: 0px !important;
				width: revert !important;
				min-width: revert !important;
			}
			
			.img_auto_width {
				max-width: revert !important;
			}
			
			#main_dir_or_plot_view {
				display: inline-grid;
			}
			
			#refresh_button {
				width: 300px;
			}
			
			._share_link {
				color: black !important;
			}
			
			#footer_element {
				height: 30px;
				background-color: #f8f9fa;
				padding: 0px;
				text-align: center;
				border-top: 1px solid #dee2e6;
				width: 100%;
				box-sizing: border-box;
				position: fixed;
				bottom: 0;
				z-index: 2;
				margin-left: -9px;
				z-index: 99;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 50px;
				height: 26px;
			}
			
			.switch input {
				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
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			.slider:before {
				position: absolute;
				content: "";
				height: 20px;
				width: 20px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
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			input:checked + .slider {
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			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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			        1745335875,
			        1037.74609375,
			        31.8
			    ],
			    [
			        1745335875,
			        1037.74609375,
			        32.4
			    ]
			];
			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();;
				plotExitCodesPieChart();

				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>992   </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>492   </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> max_window_size</td><td>int</td><td>1</td><td>5000</td><td>int</td><td>No         </td></tr><tr><td> min_window_size</td><td>int</td><td>1</td><td>5000</td><td>int</td><td>No         </td></tr><tr><td> min_p_value</td><td>float</td><td>0.0001</td><td>0.999</td><td>float</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>172</td>
			<td>588</td>
			<td>1</td>
			<td>761</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,max_window_size,min_window_size,min_p_value
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,5.000000000000000000000000000000,1774,1704,1672,0.611283894777297942546567810496
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,4764,4678,4993,0.155685069787409147146206578327
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,1.000000000000000000000000000000,3008,1091,1178,0.884247619940433660090661760478
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,1000,2801,2935,0.350944315099623038722853607396
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,0.000000000000000000000000000000,501,292,4369,0.417283789364248480779906458338
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,3449,3562,2299,0.817919545548968063286565666203
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,4247,2150,3564,0.081542561892420054037167176375
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,2193,4194,557,0.685414966517500556797415356414
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1.000000000000000000000000000000,1943,697,3410,0.773392952707037339976636758365
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,3953,3030,90,0.489114646906591954422793833146
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,1.000000000000000000000000000000,3199,1315,3893,0.718481607547029832439022811741
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,207,4922,2134,0.013371798569895326086465203730
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,628,2392,717,0.188953667375165973441042410741
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,2680,3805,2787,0.542888338868599329423147992202
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1.000000000000000000000000000000,4392,520,1514,0.305728021558839824223241521395
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,1446,3167,4522,0.956791041188221447200135116873
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.570000000000000062172489379009,5.000000000000000000000000000000,1364,379,296,0.108403103228937841562284916108
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,4627,3357,3226,0.627287509124446640562666743790
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,2598,2257,2011,0.397923428686987601388125312951
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,863,3969,4004,0.868428998165298282607693636237
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,130,1460,2600,0.926959806774742878232586917875
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,3429,4728,921,0.339396398948505539916453699334
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.560000000000000053290705182008,1.000000000000000000000000000000,3876,828,4626,0.576559581576474022845957279060
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,2174,2870,1383,0.159127188645675765599207807099
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,2431,2031,4769,0.254907060477696345568432434447
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,4168,4362,1839,0.976325732290744818797634252405
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,3687,139,3085,0.247760346589051189125640917155
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,422,3744,1094,0.515241881680488567063491700537
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,1.000000000000000000000000000000,1233,1214,2463,0.714240236083324986360310049349
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.550000000000000044408920985006,0.000000000000000000000000000000,2934,2629,4144,0.048758213315252214858919188600
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,521,449,1,0.000100000000000000004792173602
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2337,551,1649,0.000100000000000000004792173602
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,394,1,0.000100000000000000004792173602
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1190,591,4875,0.000100000000000000004792173602
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,3749,610,1412,0.001065563502493705122856071377
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,587,513,2217,0.000100000000000000004792173602
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1.000000000000000000000000000000,2373,516,1,0.000100000000000000004792173602
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2303,588,3015,0.000100000000000000004792173602
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1.000000000000000000000000000000,179,509,1,0.000100000000000000004792173602
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,543,5000,0.000100000000000000004792173602
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,592,500,948,0.000100000000000000004792173602
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2066,659,5000,0.000100000000000000004792173602
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,744,2841,0.000100000000000000004792173602
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,747,391,1,0.000100000000000000004792173602
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,379,389,1,0.259378161844333765539971636827
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2320,553,2620,0.998999999999999999111821580300
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,2.000000000000000000000000000000,5000,667,1,0.000100000000000000004792173602
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,886,499,1,0.000100000000000000004792173602
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,3749,609,1367,0.998999999999999999111821580300
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,172,502,5000,0.000100000000000000004792173602
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,269,1,0.000100000000000000004792173602
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,657,1288,0.657916100451802154935876387754
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,392,619,2798,0.000100000000000000004792173602
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,739,4625,0.000100000000000000004792173602
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,4496,722,5000,0.415478301432816832239325322007
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,504,989,0.000100000000000000004792173602
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,2740,665,5000,0.000100000000000000004792173602
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,801,3550,0.000100000000000000004792173602
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1760,552,5000,0.000100000000000000004792173602
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.570000000000000062172489379009,9.000000000000000000000000000000,3671,581,537,0.000100000000000000004792173602
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,3611,594,3110,0.000100000000000000004792173602
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1360,374,4099,0.000100000000000000004792173602
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,389,261,1880,0.000100000000000000004792173602
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,3613,655,4297,0.000100000000000000004792173602
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1353,387,1920,0.998999999999999999111821580300
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1335,231,2447,0.000100000000000000004792173602
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1353,192,2829,0.998999999999999999111821580300
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,3600,525,2338,0.998999999999999999111821580300
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1315,317,2016,0.000100000000000000004792173602
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,3625,565,4110,0.998999999999999999111821580300
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,3594,619,1946,0.000100000000000000004792173602
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1376,91,2210,0.998999999999999999111821580300
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,344,54,1702,0.998999999999999999111821580300
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1403,124,1083,0.000100000000000000004792173602
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3428,2619,2234,0.418989927311845311574955985634
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1389,227,3865,0.998999999999999999111821580300
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2349,2504,0.998999999999999999111821580300
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1329,486,2457,0.000100000000000000004792173602
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1404,501,3921,0.000100000000000000004792173602
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,253,2976,2010,0.000100000000000000004792173602
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1338,26,4081,0.000100000000000000004792173602
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,253,2977,3717,0.033392388989397489562627185933
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3430,2747,1069,0.998999999999999999111821580300
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,2707,2211,0.998999999999999999111821580300
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2564,3108,1903,0.000100000000000000004792173602
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1404,261,1742,0.998999999999999999111821580300
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3057,3489,3652,0.000100000000000000004792173602
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1396,51,2702,0.000100000000000000004792173602
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2023,2796,0.998999999999999999111821580300
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1856,3423,1724,0.998999999999999999111821580300
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,552,3845,0.168038693321868604080293607694
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,572,3040,0.474219321833147133826713570670
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,586,871,0.611756254272196930976690509851
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,3436,483,3918,0.266319247313980822511325641244
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,570,745,0.998999999999999999111821580300
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,525,2111,0.276928153634105556069044951073
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1852,484,1011,0.207328458996599351848999504000
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,658,4138,0.274570150054494144242767106334
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,2.000000000000000000000000000000,5000,510,178,0.694193590851763242532967979059
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,600,3468,0.346610178969532167769784791744
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,4810,557,2928,0.768076871629339796854196720233
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.570000000000000062172489379009,4.000000000000000000000000000000,5000,584,470,0.475710737662674909564941572171
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.570000000000000062172489379009,2.000000000000000000000000000000,5000,642,357,0.894285661100432172077034920221
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,3.000000000000000000000000000000,5000,591,1,0.395750783416410401027718535261
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,4911,473,3782,0.410091716338582601419915363294
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,590,4867,0.998999999999999999111821580300
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,2.000000000000000000000000000000,4027,563,245,0.998999999999999999111821580300
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,520,4445,0.279439856449611112587660954887
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,587,2569,0.257737328240880192442574525558
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,532,3935,0.000100000000000000004792173602
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,533,5000,0.885078124050834857960978752089
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,61,424,1004,0.199630972997956235293059989999
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1856,533,686,0.455718247614820326507611980560
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,555,3770,0.278816585083378032372536381445
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2982,498,3421,0.387991985181496301660075687323
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,4962,719,3562,0.998999999999999999111821580300
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,3636,570,1,0.795379371104020904681419779081
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,4898,578,1,0.998999999999999999111821580300
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,4423,565,605,0.853439713120617615693674906652
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,3057,547,4296,0.233827436762688384286335008255
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,364,2994,0.000100000000000000004792173602
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,412,2563,0.998999999999999999111821580300
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,562,2410,0.998999999999999999111821580300
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,5000,1,0.000100000000000000004792173602
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,5000,5000,0.998999999999999999111821580300
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4052,5000,0.998999999999999999111821580300
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3923,1,0.998999999999999999111821580300
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,5000,1,0.000100000000000000004792173602
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,5000,5000,0.998999999999999999111821580300
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3676,1,0.000100000000000000004792173602
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4236,5000,0.000100000000000000004792173602
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2660,5000,5000,0.998999999999999999111821580300
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,5000,366,2554,0.998999999999999999111821580300
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4700,1,0.998999999999999999111821580300
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,5000,1,0.998999999999999999111821580300
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,525,5000,0.998999999999999999111821580300
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,5000,2749,0.000100000000000000004792173602
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3816,1829,0.000100000000000000004792173602
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4067,1,0.000100000000000000004792173602
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,5000,4667,0.000100000000000000004792173602
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3198,5000,0.000100000000000000004792173602
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,537,99,0.998999999999999999111821580300
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4509,1,0.000100000000000000004792173602
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4463,2661,0.998999999999999999111821580300
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2123,5000,0.998999999999999999111821580300
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3370,5000,0.000100000000000000004792173602
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,189,2694,0.000100000000000000004792173602
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4473,3068,0.000100000000000000004792173602
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4236,1321,0.000100000000000000004792173602
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,644,1953,0.998999999999999999111821580300
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1910,430,3114,0.998999999999999999111821580300
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,5000,259,3092,0.998999999999999999111821580300
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1108,410,2974,0.998999999999999999111821580300
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,547,1821,0.000100000000000000004792173602
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2153,461,3484,0.000100000000000000004792173602
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,303,449,3068,0.000100000000000000004792173602
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,2766,369,5000,0.998999999999999999111821580300
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,464,3044,0.998999999999999999111821580300
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,3029,441,3086,0.998999999999999999111821580300
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,558,5000,0.000100000000000000004792173602
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3436,5000,0.998999999999999999111821580300
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2573,5000,0.000100000000000000004792173602
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,2549,3882,0.000100000000000000004792173602
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,262,2680,0.998999999999999999111821580300
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,99,3005,0.998999999999999999111821580300
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3624,1,0.998999999999999999111821580300
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,610,2914,0.000100000000000000004792173602
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,2658,5000,0.998999999999999999111821580300
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,420,420,2066,0.998999999999999999111821580300
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,5000,513,1589,0.998999999999999999111821580300
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,5000,366,3374,0.000100000000000000004792173602
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,920,448,3231,0.000100000000000000004792173602
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,295,1480,0.998999999999999999111821580300
173,173_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,5000,0.998999999999999999111821580300
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,2060,4750,0.998999999999999999111821580300
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3052,1,0.998999999999999999111821580300
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,2437,415,3030,0.998999999999999999111821580300
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3467,1,0.000100000000000000004792173602
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3899,5000,0.000100000000000000004792173602
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,3447,482,2986,0.998999999999999999111821580300
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,323,490,788,0.721028396437610741287471682881
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1766,520,820,0.750726692044117682733883611945
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1657,213,3320,0.272875050852120215605367548051
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,344,3539,0.211780434760439478791838041616
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,565,2369,0.000100000000000000004792173602
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,311,1664,0.998999999999999999111821580300
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1874,463,4568,0.998999999999999999111821580300
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,142,367,1505,0.000100000000000000004792173602
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1961,398,3268,0.305130309131204979777862718038
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3080,617,0.840016517147182173452790721058
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,435,474,2958,0.454440838631160082261573052165
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,721,814,0.699808867645575705118687892536
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,398,652,0.795805836156493473509954128531
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,632,4465,0.998999999999999999111821580300
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,16,468,4522,0.998999999999999999111821580300
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,2750,541,836,0.769517074498540454285944178991
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2449,1040,0.000100000000000000004792173602
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,5000,3344,0.299260612273268999938835577268
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,200,2631,4434,0.528495573181260058781560928765
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,145,1637,0.998999999999999999111821580300
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1073,555,844,0.744527997045088207883622999361
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,298,868,0.706769561013053659870308820246
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3581,456,0.033063818280401877092167239880
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,378,1712,0.748219505995910139084514867136
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1.000000000000000000000000000000,3167,1785,806,0.716464578932476170436416396115
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,405,2120,835,0.676322302583961643129839558242
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3913,3116,0.998999999999999999111821580300
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,5000,564,1022,0.998999999999999999111821580300
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,2379,874,0.554552216168434419785171485273
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3577,4525,0.321548495182915672341295021397
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,571,225,2730,0.441295890113232558427114327060
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,564,206,3576,0.000100000000000000004792173602
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1748,4761,4745,0.575848774316053857447172958928
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1378,4759,273,0.529384269426583009554576619848
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1458,4282,3464,0.833723862780783142589768885955
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1686,4840,1695,0.296905352207090356131402586470
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,785,5000,349,0.312524261181614138038753480942
217,217_0,FAILED,BoTorch,GenerationStep_1,,,2547,1,3032,0.716027386512786745420555689634
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,995,5000,4590,0.711034704118269633710269772564
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1158,4456,1548,0.561797962703179387666807542701
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,662,3196,809,0.279906682873284851087447577811
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,676,4666,442,0.000100000000000000004792173602
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1497,4166,1404,0.798305038754309137516429473180
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2146,5000,2488,0.464288991327018285559802279749
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2911,4391,1393,0.736991687622774782617796063278
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1307,576,1162,0.000100000000000000004792173602
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1417,3874,4924,0.526364438253717925597641169588
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,580,272,2060,0.602616950655949001891542593512
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1163,4700,3604,0.719033793538644050435948429367
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1440,4256,1054,0.998999999999999999111821580300
230,230_0,FAILED,BoTorch,GenerationStep_1,,,2622,1,2667,0.998999999999999999111821580300
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1571,3863,870,0.998999999999999999111821580300
232,232_0,FAILED,BoTorch,GenerationStep_1,,,2663,1,3391,0.000100000000000000004792173602
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1613,4217,4635,0.844356970800623884976232602639
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1480,5000,1160,0.998999999999999999111821580300
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2248,4871,4474,0.977108876722703079131804315693
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,616,4775,3765,0.434580040901395958652386752874
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1351,4093,2117,0.998999999999999999111821580300
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1713,4864,4167,0.091631106607960421950309637396
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1621,2576,3233,0.000100000000000000004792173602
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2200,389,2255,0.998999999999999999111821580300
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1571,396,2983,0.000100000000000000004792173602
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2886,5000,0.998999999999999999111821580300
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,320,1,0.998999999999999999111821580300
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3674,1518,0.998999999999999999111821580300
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,670,356,2739,0.000100000000000000004792173602
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,3144,427,2300,0.998999999999999999111821580300
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,2155,327,2338,0.998999999999999999111821580300
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4570,1477,0.998999999999999999111821580300
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1179,445,5000,0.998999999999999999111821580300
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4581,3475,0.998999999999999999111821580300
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2897,513,5000,0.998999999999999999111821580300
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2836,477,3138,0.000100000000000000004792173602
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2967,3159,1,0.998999999999999999111821580300
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,365,2385,0.000100000000000000004792173602
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1284,342,2868,0.000100000000000000004792173602
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3068,2357,0.998999999999999999111821580300
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,1858,4401,0.000100000000000000004792173602
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1789,448,5000,0.998999999999999999111821580300
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2665,1,0.998999999999999999111821580300
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,4470,474,2223,0.998999999999999999111821580300
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,5000,1558,0.998999999999999999111821580300
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2017,401,3062,0.000100000000000000004792173602
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,5000,256,2255,0.998999999999999999111821580300
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,5000,5000,0.000100000000000000004792173602
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2400,4430,1,0.998999999999999999111821580300
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,2999,2890,0.000100000000000000004792173602
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,571,417,1,0.998999999999999999111821580300
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3391,2130,0.998999999999999999111821580300
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1079,364,1766,0.998999999999999999111821580300
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,825,380,4058,0.548762105628083807218331457989
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1091,544,3715,0.000100000000000000004792173602
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,925,328,2372,0.502480685682484606857656217471
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,860,228,1661,0.000100000000000000004792173602
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3893,5000,3997,0.998999999999999999111821580300
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1160,527,2748,0.998999999999999999111821580300
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4218,3083,1068,0.259077640338638948147576002157
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,750,213,2325,0.362398061006526994720644552217
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1033,477,3668,0.998999999999999999111821580300
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3822,5000,3008,0.786897446438922454348130486323
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,935,265,3554,0.998999999999999999111821580300
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2406,2713,4575,0.000100000000000000004792173602
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3753,3931,3202,0.000100000000000000004792173602
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2877,3786,4127,0.353729142885357006331759066597
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,986,426,5000,0.594921053712582525996310778282
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1084,2006,2238,0.000100000000000000004792173602
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3259,1171,0.000100000000000000004792173602
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1086,504,2226,0.284156976781959669242638710784
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3580,3792,1917,0.547740482135629314086600061273
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3777,3857,2503,0.000100000000000000004792173602
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2009,3292,3680,0.571917222606417419150659497973
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3902,3447,1112,0.000100000000000000004792173602
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4022,5000,724,0.000100000000000000004792173602
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1.000000000000000000000000000000,4629,1630,2183,0.000100000000000000004792173602
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1085,760,4915,0.998999999999999999111821580300
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3958,4453,2974,0.986937265517071060649811897747
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4181,3372,2037,0.451879916405551695923747956840
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1077,565,4243,0.998999999999999999111821580300
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3594,5000,3767,0.000100000000000000004792173602
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3790,3619,3934,0.444492299379052380192689497562
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,4183,628,3726,0.998999999999999999111821580300
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,862,324,639,0.998999999999999999111821580300
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,946,321,3729,0.662598214389895079357017948496
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,803,177,3700,0.703338289317485210183633626002
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,4222,653,2710,0.998999999999999999111821580300
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,4250,606,3322,0.000100000000000000004792173602
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,917,258,3311,0.000100000000000000004792173602
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2102,3671,1536,0.000100000000000000004792173602
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,98,3337,0.000100000000000000004792173602
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1080,439,2595,0.998999999999999999111821580300
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,936,191,2522,0.998999999999999999111821580300
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1298,2117,3502,0.998999999999999999111821580300
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2316,2489,3899,0.998999999999999999111821580300
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,1181,545,631,0.998999999999999999111821580300
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,981,352,2630,0.770500595282726519208438276110
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1104,2464,3183,0.998999999999999999111821580300
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,162,1467,0.000100000000000000004792173602
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1383,2175,2706,0.000100000000000000004792173602
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,794,180,1997,0.998999999999999999111821580300
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1908,2854,3373,0.998999999999999999111821580300
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1050,552,2704,0.371878304825921712772895943999
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4155,78,3393,0.998999999999999999111821580300
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,5000,2212,0.998999999999999999111821580300
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3976,2265,5000,0.416024854202555638416072270047
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1261,2960,3047,0.998999999999999999111821580300
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1.000000000000000000000000000000,674,1769,232,0.998999999999999999111821580300
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,910,260,5000,0.998999999999999999111821580300
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,614,3966,1580,0.000100000000000000004792173602
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4625,2339,0.000100000000000000004792173602
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4449,2430,4483,0.998999999999999999111821580300
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3425,3088,433,0.998999999999999999111821580300
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3872,4129,4478,0.000100000000000000004792173602
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1462,5000,700,0.998999999999999999111821580300
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1264,2993,2505,0.000100000000000000004792173602
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2420,5000,1286,0.000100000000000000004792173602
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,382,3807,4023,0.000100000000000000004792173602
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3840,4246,0.998999999999999999111821580300
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,838,3472,2628,0.998999999999999999111821580300
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,544,3432,2909,0.000100000000000000004792173602
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3478,3742,0.998999999999999999111821580300
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,461,3052,392,0.000100000000000000004792173602
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4301,4983,2019,0.561425267392143378941682385630
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3678,4771,485,0.998999999999999999111821580300
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2824,5000,441,0.998999999999999999111821580300
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,381,2514,3535,0.423848744953183753647607545645
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3571,408,0.998999999999999999111821580300
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4264,4349,0.000100000000000000004792173602
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4406,3994,4629,0.565451873857318876304134391830
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4612,4887,830,0.998999999999999999111821580300
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,459,5000,3465,0.000100000000000000004792173602
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4684,4207,0.647821041196807723139272638946
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4030,328,0.998999999999999999111821580300
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4769,4617,4454,0.214673245671433865489063919085
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2498,4127,694,0.000100000000000000004792173602
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,4278,621,791,0.998999999999999999111821580300
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,904,521,4046,0.301579759812819925279825383768
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4199,4638,2388,0.998999999999999999111821580300
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,727,235,5000,0.594726183734530233770954055217
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,4298,552,1354,0.998999999999999999111821580300
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,784,305,1049,0.425897863329927461872870253501
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,728,185,1271,0.000100000000000000004792173602
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,5000,3085,0.998999999999999999111821580300
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,5000,1812,0.908259201158476026094490407559
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,2868,4697,0.598820712952091604996951446083
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1449,2642,1,0.000100000000000000004792173602
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1161,2718,4797,0.589422203797506205624756603356
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4371,2743,3430,0.235263944231220101244161924114
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,2761,2793,0.998999999999999999111821580300
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4500,2603,0.000100000000000000004792173602
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4373,2662,3599,0.998999999999999999111821580300
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4309,208,0.443239995795840946435362184275
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,2920,652,0.000100000000000000004792173602
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3324,286,0.463672751570313956825941659190
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3456,861,0.776523617268400134783234989300
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4500,2911,0.368255960273206783828214838650
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,1772,3028,0.000100000000000000004792173602
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,1913,3994,0.000100000000000000004792173602
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3997,3409,0.000100000000000000004792173602
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4531,2818,4193,0.498174669282010540438676571284
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4332,2743,2618,0.637355645702899820115305828949
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1042,5000,1289,0.517186292054142127128102401912
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,767,289,3944,0.998999999999999999111821580300
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2478,2368,0.326502633767709604661888533883
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3667,1253,0.000100000000000000004792173602
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4252,2746,2147,0.000100000000000000004792173602
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,798,129,1659,0.000100000000000000004792173602
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,959,377,2338,0.998999999999999999111821580300
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,420,1820,4576,0.597257307660694736206608013163
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2261,1,0.000100000000000000004792173602
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,2911,3471,0.000100000000000000004792173602
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4660,3774,2758,0.000100000000000000004792173602
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,503,4545,4197,0.998999999999999999111821580300
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,5000,4125,0.998999999999999999111821580300
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1.000000000000000000000000000000,683,1789,5000,0.000100000000000000004792173602
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,612,336,4274,0.000100000000000000004792173602
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,5000,1746,0.000100000000000000004792173602
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4138,3683,0.455137907406525210607384224204
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,782,5000,2975,0.000100000000000000004792173602
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3269,1142,0.998999999999999999111821580300
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,674,5000,3273,0.586978406657447826511031507835
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4636,2447,3073,0.367600149479672289043463706548
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3069,3714,0.998999999999999999111821580300
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4005,5000,298,0.000100000000000000004792173602
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,972,302,2501,0.998999999999999999111821580300
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4928,3056,0.000100000000000000004792173602
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2890,927,0.998999999999999999111821580300
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,546,260,4031,0.260765307607072172046969171788
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,5000,939,0.000100000000000000004792173602
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1752,3251,1237,0.998999999999999999111821580300
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,715,2825,4002,0.471417807776237485217762923639
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3148,3091,3026,0.608123017780327845827059718431
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2205,2992,4110,0.998999999999999999111821580300
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,831,167,3445,0.998999999999999999111821580300
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,343,3958,3119,0.525228910749130806223661238619
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3166,2850,799,0.998999999999999999111821580300
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2291,4255,0.998999999999999999111821580300
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,5000,2572,0.998999999999999999111821580300
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3375,1521,0.321530791378470737207351248799
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3994,2147,0.000100000000000000004792173602
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2848,4156,0.000100000000000000004792173602
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,1021,4310,0.499210395898264658320897524391
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1096,390,2765,0.998999999999999999111821580300
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,1794,3131,0.488910161914327567878046920669
423,423_0,FAILED,BoTorch,GenerationStep_1,,,116,1,3200,0.000100000000000000004792173602
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,694,3663,1692,0.626030731999897449568948104570
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,721,306,3760,0.998999999999999999111821580300
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,2906,477,0.455311925127802663570975028051
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1.000000000000000000000000000000,727,928,2696,0.000100000000000000004792173602
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2121,2817,0.444590380516227734464251852842
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,830,334,2800,0.586545991532548605107422190486
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4715,5000,4414,0.000100000000000000004792173602
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,1.000000000000000000000000000000,5000,1977,4479,0.353060434176811821505026500745
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,2255,4519,0.000100000000000000004792173602
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1034,385,995,0.651921835760132739601147022768
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1116,5000,1,0.520228525327009139189726738550
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,550,4305,4365,0.554266200948044684970739126584
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4197,2677,0.998999999999999999111821580300
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,974,2714,0.000100000000000000004792173602
438,438_0,FAILED,BoTorch,GenerationStep_1,,,1,1,3766,0.665434421093955674741948769224
439,439_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1046,0.297822565243232750820112642032
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3596,4225,3550,0.000100000000000000004792173602
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4635,3817,0.000100000000000000004792173602
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4240,1714,0.998999999999999999111821580300
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4050,4165,0.000100000000000000004792173602
444,444_0,FAILED,BoTorch,GenerationStep_1,,,2908,1,1703,0.330376590125016966759119441122
445,445_0,FAILED,BoTorch,GenerationStep_1,,,1,1,3024,0.998999999999999999111821580300
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4339,1930,0.404054094674297814560048891508
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,717,2621,2231,0.694241638434704100291128270328
448,448_0,FAILED,BoTorch,GenerationStep_1,,,1,1,5000,0.942800361622970761743545153877
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1720,3620,4726,0.000100000000000000004792173602
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2286,4601,0.998999999999999999111821580300
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,515,217,1061,0.462571568960491175115379292038
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,463,193,4015,0.558560463204882728938116542849
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,5000,855,0.737440112248577972486884846148
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3237,3361,0.000100000000000000004792173602
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,868,272,3082,0.000100000000000000004792173602
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1438,4373,2416,0.394090319692156743069944013769
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,5000,4705,0.998999999999999999111821580300
458,458_0,FAILED,BoTorch,GenerationStep_1,,,3299,1,2653,0.998999999999999999111821580300
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3003,4794,0.000100000000000000004792173602
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,1.000000000000000000000000000000,4179,530,2655,0.998999999999999999111821580300
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,689,200,3135,0.000100000000000000004792173602
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,1156,462,2173,0.998999999999999999111821580300
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1400,4965,5000,0.447433126790098112390836604391
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,1312,4174,0.000100000000000000004792173602
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4939,5000,1212,0.382067474013240371277788653970
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,797,274,4676,0.411795586647540734492878300443
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2177,3411,0.000100000000000000004792173602
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3317,4520,0.000100000000000000004792173602
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,828,326,1234,0.000100000000000000004792173602
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3705,3544,0.998999999999999999111821580300
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,584,164,2036,0.000100000000000000004792173602
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4397,1224,0.111531131226054208704923098594
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4799,1806,0.000100000000000000004792173602
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2463,4751,0.998999999999999999111821580300
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,851,280,2223,0.998999999999999999111821580300
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,789,286,4148,0.525483599976828474886758613138
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,858,378,920,0.998999999999999999111821580300
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4911,2484,0.540959203179460446087034597440
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4261,818,0.998999999999999999111821580300
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4531,2559,0.553555282122419001211710565258
481,481_0,FAILED,BoTorch,GenerationStep_1,,,1,1,2189,0.998999999999999999111821580300
482,482_0,FAILED,BoTorch,GenerationStep_1,,,1,1,2862,0.539108478593973927672777790576
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,513,247,5000,0.998999999999999999111821580300
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3999,3182,0.998999999999999999111821580300
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,201,2704,952,0.445483704947401748519553166261
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,5000,4307,0.278848326669457191595569156561
487,487_0,FAILED,BoTorch,GenerationStep_1,,,2592,1,3028,0.286940428480610798533945171584
488,488_0,FAILED,BoTorch,GenerationStep_1,,,42,1,3282,0.000100000000000000004792173602
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4992,4062,335,0.000100000000000000004792173602
490,490_0,FAILED,BoTorch,GenerationStep_1,,,1,1,4649,0.148911518187182873029783536367
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,2696,4247,1,0.473831819797642828095973754898
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4421,3748,0.000100000000000000004792173602
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3335,2023,0.998999999999999999111821580300
494,494_0,FAILED,BoTorch,GenerationStep_1,,,1,1,3726,0.998999999999999999111821580300
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,1590,3807,0.000100000000000000004792173602
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,544,337,4069,0.000100000000000000004792173602
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,4090,1232,0.998999999999999999111821580300
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,807,2842,2242,0.000100000000000000004792173602
499,499_0,FAILED,BoTorch,GenerationStep_1,,,2738,1,1872,0.998999999999999999111821580300
500,500_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,3170,1136,0.998999999999999999111821580300
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,530,2381,3702,0.556294458362468713374937578919
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,5000,4388,0.998999999999999999111821580300
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4208,3090,4213,0.000100000000000000004792173602
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,3905,4567,1027,0.000100000000000000004792173602
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,3873,5000,0.998999999999999999111821580300
506,506_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1962,2897,148,0.000100000000000000004792173602
507,507_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,1,5000,3629,0.998999999999999999111821580300
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.560000000000000053290705182008,0.000000000000000000000000000000,707,311,2723,0.998999999999999999111821580300
509,509_0,COMPLETED,BoTorch,GenerationStep_1,0.550000000000000044408920985006,0.000000000000000000000000000000,4595,5000,3984,0.358914006232104565441431986983
510,510_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,1036,3023,3570,0.245250299929082371530597583842
511,511_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1.000000000000000000000000000000,4931,746,2360,0.599615356171969371423813299771
512,512_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,2759,4044,3895,0.385150223394390200937209556287
513,513_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,1364,2264,184,0.772087920271325889309821377537
514,514_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,2454,4846,1354,0.992536851494107419391355051630
515,515_0,FAILED,Sobol,SOBOL,,,3539,1348,2721,0.347879708427470180076568340155
516,516_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,3831,3396,1034,0.632861981978733112441659613978
517,517_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,246,337,4902,0.021021350686158984943929795008
518,518_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,328,4129,677,0.279415428605768845216061890824
519,519_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,4226,2179,4622,0.877606595643144138385594033025
520,520_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,3311,2630,1622,0.109003385533113034133734231546
521,521_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,1.000000000000000000000000000000,1913,1139,3068,0.736078627210762337362837115506
522,522_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,1751,3471,4085,0.527129810630809547689068494947
523,523_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,0.000000000000000000000000000000,2834,261,610,0.126543118368927370864795989291
524,524_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,4378,4462,3136,0.856286845717486033713328197337
525,525_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,2.000000000000000000000000000000,795,1731,2159,0.484340356025565410558186840717
526,526_0,FAILED,Sobol,SOBOL,,,716,4603,4517,0.679902471984550338390818069456
527,527_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,1.000000000000000000000000000000,4614,1705,805,0.036412056723050777173877889936
528,528_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,3069,3720,2941,0.945427472912520161507643479126
529,529_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,1671,50,1731,0.332557768166996503556021025361
530,530_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,2149,2686,405,0.432190951556526092858234733285
531,531_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,3.000000000000000000000000000000,3232,1047,4273,0.787478388151898966995645423594
532,532_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,4146,4312,1975,0.198141158573515691054822696060
533,533_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,3.000000000000000000000000000000,563,1882,3342,0.584293177755176973420248032198
534,534_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,12,3166,2253,0.840942049892805520983074529795
535,535_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,1.000000000000000000000000000000,3908,604,3699,0.437253847892954961018574522313
536,536_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,0.000000000000000000000000000000,3616,4840,59,0.542528130227513560868146669236
537,537_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,1.000000000000000000000000000000,2221,1468,4003,0.173575979930162410669325367962
538,538_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2567,1,2214,0.998999999999999999111821580300
539,539_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2535,1,5000,0.998999999999999999111821580300
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,0.000000000000000000000000000000,428,296,2651,0.000100000000000000004792173602
541,541_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2672,1,2375,0.998999999999999999111821580300
542,542_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2469,1,2968,0.000100000000000000004792173602
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,0.000000000000000000000000000000,426,281,1769,0.998999999999999999111821580300
544,544_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2603,1,5000,0.998999999999999999111821580300
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,2790,193,2432,0.998999999999999999111821580300
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,1488,733,2178,0.998999999999999999111821580300
547,547_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2539,1,2287,0.998999999999999999111821580300
548,548_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,1420,0.998999999999999999111821580300
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,663,4373,5000,0.000100000000000000004792173602
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,0.000000000000000000000000000000,264,268,1707,0.998999999999999999111821580300
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,5000,2583,1,0.000100000000000000004792173602
552,552_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2462,1,2965,0.000100000000000000004792173602
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,1.000000000000000000000000000000,4642,187,5000,0.263986767985836312533365344279
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,797,339,1947,0.998999999999999999111821580300
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2131,1,5000,0.998999999999999999111821580300
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,960,363,2859,0.000100000000000000004792173602
557,557_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2510,1,2971,0.000100000000000000004792173602
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,0.000000000000000000000000000000,628,311,1701,0.998999999999999999111821580300
559,559_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2693,1,2258,0.998999999999999999111821580300
560,560_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2838,1,4108,0.250873069735948861502805584678
561,561_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,5000,0.998999999999999999111821580300
562,562_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2724,1,2166,0.998999999999999999111821580300
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,0.000000000000000000000000000000,180,243,5000,0.998999999999999999111821580300
564,564_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2657,1,2332,0.998999999999999999111821580300
565,565_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1925,1,732,0.998999999999999999111821580300
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,3352,731,939,0.998999999999999999111821580300
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,3697,406,3306,0.000100000000000000004792173602
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,2650,4549,5000,0.000100000000000000004792173602
569,569_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2456,1,2881,0.000100000000000000004792173602
570,570_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2064,1,2179,0.998999999999999999111821580300
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,590,315,5000,0.998999999999999999111821580300
572,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1981,1,2268,0.998999999999999999111821580300
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,0.000000000000000000000000000000,262,271,2651,0.000100000000000000004792173602
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2656,1,2653,0.998999999999999999111821580300
575,575_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,2532,0.000100000000000000004792173602
576,576_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2493,1,2218,0.998999999999999999111821580300
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4471,5000,0.998999999999999999111821580300
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2647,1,2318,0.998999999999999999111821580300
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,2874,2993,5000,0.998999999999999999111821580300
580,580_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2550,1,2419,0.998999999999999999111821580300
581,581_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,5000,0.000100000000000000004792173602
582,582_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2662,1,2284,0.998999999999999999111821580300
583,583_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,647,0.998999999999999999111821580300
584,584_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2443,1,2772,0.998999999999999999111821580300
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,3011,2499,5000,0.998999999999999999111821580300
586,581_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,5000,0.000100000000000000004792173602
587,587_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2111,1,2587,0.998999999999999999111821580300
588,588_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,1457,0.998999999999999999111821580300
589,589_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2177,1,2308,0.998999999999999999111821580300
590,590_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1954,1,2231,0.998999999999999999111821580300
591,591_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2177,1,2807,0.998999999999999999111821580300
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,2938,2850,5000,0.000100000000000000004792173602
593,593_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2069,1,2353,0.998999999999999999111821580300
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,4362,2576,1,0.998999999999999999111821580300
595,595_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2048,1,2223,0.998999999999999999111821580300
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,0.000000000000000000000000000000,551,316,2777,0.000100000000000000004792173602
597,597_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1952,1,2190,0.998999999999999999111821580300
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,3574,699,2143,0.998999999999999999111821580300
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,2.000000000000000000000000000000,1382,429,1,0.998999999999999999111821580300
600,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2541,1,2343,0.998999999999999999111821580300
601,601_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1922,1,2568,0.998999999999999999111821580300
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,0.000000000000000000000000000000,341,262,2336,0.998999999999999999111821580300
603,603_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,1361,0.998999999999999999111821580300
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,1402,434,1743,0.998999999999999999111821580300
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,3435,366,2515,0.998999999999999999111821580300
606,606_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1907,1,2880,0.000100000000000000004792173602
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,1745,860,5000,0.000100000000000000004792173602
608,608_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1915,1,2469,0.998999999999999999111821580300
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,203,217,1892,0.998999999999999999111821580300
610,610_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2024,1,2432,0.998999999999999999111821580300
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,4013,2894,5000,0.998999999999999999111821580300
612,612_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2043,1,2914,0.000100000000000000004792173602
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,1244,3636,1,0.000100000000000000004792173602
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,2059,3123,1,0.998999999999999999111821580300
615,615_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2121,1,2779,0.998999999999999999111821580300
616,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2006,1,2973,0.000100000000000000004792173602
617,617_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2000,1,2537,0.998999999999999999111821580300
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,3739,416,2465,0.998999999999999999111821580300
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,1,2891,1,0.000100000000000000004792173602
620,620_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2471,1,3013,0.000100000000000000004792173602
621,621_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2161,1,2477,0.998999999999999999111821580300
622,622_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3343,1,4875,0.000100000000000000004792173602
623,623_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2132,1,2876,0.998999999999999999111821580300
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,0.000000000000000000000000000000,184,250,2569,0.000100000000000000004792173602
625,625_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2102,1,2482,0.998999999999999999111821580300
626,626_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2731,1,3939,0.000100000000000000004792173602
627,627_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2498,1,2518,0.998999999999999999111821580300
628,628_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,1824,0.998999999999999999111821580300
629,629_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2601,1,2561,0.998999999999999999111821580300
630,630_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2452,1,3029,0.000100000000000000004792173602
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,1796,4559,1,0.000100000000000000004792173602
632,632_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2617,1,2599,0.998999999999999999111821580300
633,633_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1971,1,2481,0.998999999999999999111821580300
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,1433,763,3754,0.000100000000000000004792173602
635,635_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2044,1,2420,0.998999999999999999111821580300
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,1614,786,5000,0.998999999999999999111821580300
637,637_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2000,1,2536,0.998999999999999999111821580300
638,638_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,2236,0.000100000000000000004792173602
639,639_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2044,1,2361,0.998999999999999999111821580300
640,640_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,2485,0.000100000000000000004792173602
641,641_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2124,1,2597,0.998999999999999999111821580300
642,642_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1922,1,5000,0.370168852883800636455191579444
643,643_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2155,1,2678,0.998999999999999999111821580300
644,644_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,1974,2369,5000,0.000100000000000000004792173602
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,2684,4702,1,0.000100000000000000004792173602
646,646_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2659,1,2642,0.998999999999999999111821580300
647,647_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2452,1,3160,0.000100000000000000004792173602
648,648_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2507,1,2487,0.998999999999999999111821580300
649,649_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2646,1,3151,0.998999999999999999111821580300
650,650_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2537,1,2939,0.545661382494979863011508314230
651,651_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2435,1,5000,0.998999999999999999111821580300
652,652_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2439,1,2456,0.998999999999999999111821580300
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,1.000000000000000000000000000000,3766,3268,5000,0.998999999999999999111821580300
654,654_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2466,1,2465,0.998999999999999999111821580300
655,655_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2077,1,3264,0.000100000000000000004792173602
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,3344,4528,3029,0.000100000000000000004792173602
657,657_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2185,1,2404,0.998999999999999999111821580300
658,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2890,1,2798,0.998999999999999999111821580300
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,0.000000000000000000000000000000,316,285,3459,0.000100000000000000004792173602
660,660_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2563,1,3194,0.000100000000000000004792173602
661,661_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1893,1,2932,0.000100000000000000004792173602
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,2587,3524,1,0.000100000000000000004792173602
663,663_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,1268,415,1788,0.998999999999999999111821580300
664,664_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2031,1,2593,0.998999999999999999111821580300
665,665_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,2336,0.000100000000000000004792173602
666,666_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2127,1,2925,0.491505281209972111344796985577
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,470,303,2577,0.998999999999999999111821580300
668,668_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2146,1,2756,0.998999999999999999111821580300
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,2095,3929,4318,0.000100000000000000004792173602
670,670_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2249,1,3163,0.000100000000000000004792173602
671,671_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2152,1,2391,0.998999999999999999111821580300
672,672_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2074,1,3182,0.000100000000000000004792173602
673,673_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3112,1,2818,0.998999999999999999111821580300
674,674_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2165,1,2954,0.000100000000000000004792173602
675,675_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1949,1,5000,0.998999999999999999111821580300
676,676_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2250,1,2916,0.998999999999999999111821580300
677,677_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,1754,0.860155775382094867076432365138
678,678_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1966,1,3169,0.000100000000000000004792173602
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,3542,4427,5000,0.998999999999999999111821580300
680,680_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3193,1,2946,0.998999999999999999111821580300
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,1.000000000000000000000000000000,4656,1041,4533,0.000100000000000000004792173602
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,3.000000000000000000000000000000,3388,457,1,0.946171864380248028858488851256
683,683_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1963,1,2503,0.998999999999999999111821580300
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,3104,801,2880,0.998999999999999999111821580300
685,685_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1968,1,2732,0.998999999999999999111821580300
686,686_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2359,1,3031,0.000100000000000000004792173602
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,810,366,5000,0.998999999999999999111821580300
688,688_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2055,1,2705,0.998999999999999999111821580300
689,689_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,2529,0.000100000000000000004792173602
690,690_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2027,1,3116,0.000100000000000000004792173602
691,691_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1995,1,2808,0.998999999999999999111821580300
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,2705,3314,1,0.998999999999999999111821580300
693,693_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1985,1,3017,0.000100000000000000004792173602
694,694_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2567,1,2717,0.998999999999999999111821580300
695,695_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2428,1,3199,0.000100000000000000004792173602
696,696_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2591,1,2785,0.998999999999999999111821580300
697,697_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2945,1,3662,0.998999999999999999111821580300
698,698_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2444,1,3209,0.000100000000000000004792173602
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,4461,2845,1,0.000100000000000000004792173602
700,700_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2506,1,2986,0.864285437990237936922710559884
701,701_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,1907,0.000100000000000000004792173602
702,702_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2512,1,2682,0.998999999999999999111821580300
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,846,343,2581,0.998999999999999999111821580300
704,704_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2726,1,2737,0.998999999999999999111821580300
705,705_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1992,1,2836,0.000100000000000000004792173602
706,706_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2254,1,2775,0.998999999999999999111821580300
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,2289,867,4009,0.000100000000000000004792173602
708,708_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2386,1,2743,0.998999999999999999111821580300
709,709_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1982,1,3116,0.000100000000000000004792173602
710,710_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2111,1,3243,0.000100000000000000004792173602
711,711_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,0.000000000000000000000000000000,470,294,5000,0.000100000000000000004792173602
712,712_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,0.000000000000000000000000000000,726,361,2368,0.998999999999999999111821580300
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,1507,656,2692,0.998999999999999999111821580300
714,714_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1972,1,2680,0.998999999999999999111821580300
715,715_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2924,1,2916,0.000100000000000000004792173602
716,716_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1992,1,2992,0.000100000000000000004792173602
717,717_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3115,1,2541,0.998999999999999999111821580300
718,718_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1996,1,2973,0.000100000000000000004792173602
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,3411,708,2890,0.998999999999999999111821580300
720,720_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,1350,422,3043,0.000100000000000000004792173602
721,721_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2126,1,2634,0.998999999999999999111821580300
722,722_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2255,1,3563,0.998999999999999999111821580300
723,723_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,2636,0.000100000000000000004792173602
724,724_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2712,1,2645,0.998999999999999999111821580300
725,725_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2017,1,3109,0.000100000000000000004792173602
726,726_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2188,1,2445,0.998999999999999999111821580300
727,727_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1920,1,2963,0.000100000000000000004792173602
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,0.000000000000000000000000000000,4580,400,3089,0.000100000000000000004792173602
729,581_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,5000,0.000100000000000000004792173602
730,730_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2002,1,3000,0.000100000000000000004792173602
731,731_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3245,1,2457,0.998999999999999999111821580300
732,732_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1968,1,5000,0.000100000000000000004792173602
733,733_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2017,1,2805,0.998999999999999999111821580300
734,734_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2077,1,3848,0.000100000000000000004792173602
735,735_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2414,1,2821,0.998999999999999999111821580300
736,736_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,1731,0.998999999999999999111821580300
737,737_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2130,1,3011,0.000100000000000000004792173602
738,738_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,0.000000000000000000000000000000,3390,287,3745,0.000100000000000000004792173602
739,739_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2051,1,3101,0.000100000000000000004792173602
740,740_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3187,1,2669,0.998999999999999999111821580300
741,741_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1964,1,2972,0.000100000000000000004792173602
742,742_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4828,1125,0.998999999999999999111821580300
743,743_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2007,1,2999,0.000100000000000000004792173602
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,1.000000000000000000000000000000,3581,706,4111,0.000100000000000000004792173602
745,745_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1918,1,2794,0.998999999999999999111821580300
746,746_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2000,1,3063,0.000100000000000000004792173602
747,747_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2163,1,2646,0.998999999999999999111821580300
748,748_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1953,1,5000,0.000100000000000000004792173602
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,1.000000000000000000000000000000,3787,1930,5000,0.000100000000000000004792173602
750,750_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1844,1,5000,0.998999999999999999111821580300
751,751_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1986,1,2626,0.998999999999999999111821580300
752,752_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,369,224,5000,0.000100000000000000004792173602
753,753_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1967,1,3179,0.000100000000000000004792173602
754,754_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,1810,5000,5000,0.000100000000000000004792173602
755,755_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2029,1,3007,0.000100000000000000004792173602
756,756_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3308,1,2614,0.998999999999999999111821580300
757,757_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2129,1,3015,0.000100000000000000004792173602
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,0.000000000000000000000000000000,1,4822,5000,0.998999999999999999111821580300
759,759_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2051,1,3060,0.000100000000000000004792173602
760,760_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3814,4385,1,0.000100000000000000004792173602
</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 4511744 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4511744/4511744_0_result.pkl
has not produced any output (state: NODE_FAIL)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4511744/4511744_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4511744/4511744_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4511744/4511744_0_log.err not found


⚠ Job 4512107 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512107/4512107_0_result.pkl
has not produced any output (state: NODE_FAIL)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512107/4512107_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512107/4512107_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512107/4512107_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4514405/4514405_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4515637/4515637_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4517608/4517608_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518993/4518993_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4521242/4521242_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4524767/4524767_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4525579/4525579_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4528435/4528435_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4530099/4530099_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4531322/4531322_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4532485/4532485_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4532769/4532769_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4533310/4533310_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4533816/4533816_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4534534/4534534_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4534976/4534976_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4536421/4536421_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4536865/4536865_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4537557/4537557_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4538155/4538155_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4538502/4538502_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4538837/4538837_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4539426/4539426_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4539903/4539903_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4540100/4540100_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4540338/4540338_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4540583/4540583_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4540706/4540706_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4541232/4541232_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4541431/4541431_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4541612/4541612_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4542020/4542020_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4542303/4542303_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4542622/4542622_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4543069/4543069_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4545961/4545961_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4552248/4552248_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4560034/4560034_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4562445/4562445_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4566560/4566560_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4572404/4572404_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4575908/4575908_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4579441/4579441_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4582372/4582372_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4587325/4587325_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4588691/4588691_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4589797/4589797_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4593897/4593897_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4595305/4595305_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4596278/4596278_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4597998/4597998_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4600256/4600256_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4601184/4601184_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4602084/4602084_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4603152/4603152_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4603752/4603752_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4604682/4604682_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4605110/4605110_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4605215/4605215_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4605429/4605429_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4605635/4605635_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4605731/4605731_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4605821/4605821_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4605900/4605900_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606013/4606013_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606089/4606089_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606168/4606168_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606401/4606401_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606444/4606444_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606506/4606506_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606564/4606564_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606627/4606627_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606689/4606689_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606754/4606754_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606929/4606929_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607019/4607019_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607111/4607111_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607177/4607177_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607301/4607301_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607351/4607351_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607579/4607579_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607631/4607631_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607705/4607705_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607840/4607840_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607963/4607963_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608000/4608000_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608037/4608037_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608070/4608070_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608098/4608098_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608252/4608252_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608677/4608677_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608703/4608703_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608738/4608738_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608807/4608807_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608907/4608907_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609004/4609004_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609042/4609042_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609097/4609097_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609124/4609124_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609150/4609150_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609175/4609175_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609222/4609222_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609327/4609327_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609379/4609379_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609398/4609398_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609407/4609407_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609446/4609446_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609664/4609664_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609682/4609682_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609703/4609703_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609760/4609760_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609785/4609785_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609800/4609800_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609852/4609852_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609876/4609876_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609893/4609893_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610252/4610252_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610350/4610350_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610562/4610562_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610600/4610600_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610616/4610616_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610688/4610688_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610704/4610704_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610725/4610725_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610749/4610749_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610768/4610768_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610784/4610784_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610807/4610807_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610839/4610839_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610856/4610856_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610870/4610870_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610886/4610886_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610908/4610908_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610993/4610993_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611074/4611074_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611308/4611308_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611337/4611337_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611402/4611402_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611426/4611426_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611445/4611445_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611482/4611482_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4612154/4612154_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4612460/4612460_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4613030/4613030_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4613044/4613044_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4613088/4613088_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4613110/4613110_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4613146/4613146_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4613176/4613176_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4613191/4613191_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4613208/4613208_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_OutdoorObjects_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4613244/4613244_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/DAWIDD_OutdoorObjects_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">1744908585.4877205,20,0,0
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1745280746.4573328,20,1,5
1745280747.1387904,20,1,5
1745280750.124345,20,2,10
1745280750.595934,20,2,10
1745280763.6007495,20,1,5
1745280763.8645527,20,1,5
1745282629.1643395,20,1,5
1745282630.0477474,20,1,5
1745282631.5946274,20,2,10
1745282632.0177817,20,2,10
1745282644.6767368,20,1,5
1745282644.7555041,20,1,5
1745284663.3877366,20,1,5
1745284664.047704,20,1,5
1745284665.5537884,20,2,10
1745284665.9495223,20,2,10
1745284677.5464864,20,1,5
1745284677.6198254,20,1,5
1745286527.9734256,20,1,5
1745286528.4144835,20,1,5
1745286530.1649146,20,2,10
1745286530.6207578,20,2,10
1745286542.635876,20,1,5
1745286542.70253,20,1,5
1745288277.544192,20,1,5
1745288278.182515,20,1,5
1745288280.1820567,20,2,10
1745288280.7607763,20,2,10
1745288295.127745,20,1,5
1745288295.2280293,20,1,5
1745291193.9707837,20,1,5
1745291194.3532455,20,1,5
1745291196.1250741,20,2,10
1745291196.5604658,20,2,10
1745291208.6845806,20,1,5
1745291208.7697754,20,1,5
1745293183.3499584,20,1,5
1745293184.0328267,20,1,5
1745293185.477462,20,2,10
1745293185.8945477,20,2,10
1745293198.1609902,20,1,5
1745293198.231597,20,1,5
1745294759.6392815,20,1,5
1745294760.0629327,20,1,5
1745294761.5376205,20,2,10
1745294762.2410693,20,2,10
1745294773.351307,20,1,5
1745294773.5319664,20,1,5
1745294782.251483,20,1,5
1745294794.1590085,20,1,5
1745294799.531757,20,1,5
1745294807.7967052,20,0,0
1745294820.241868,20,0,0
1745296800.4292986,20,0,0
1745296800.7064981,20,0,0
1745296802.274688,20,1,5
1745296809.076973,20,1,5
1745298406.3795424,20,1,5
1745298407.0624306,20,1,5
1745298408.5844886,20,2,10
1745298409.0183833,20,2,10
1745298420.9775739,20,1,5
1745298421.0575726,20,1,5
1745300447.8183794,20,1,5
1745300448.2514102,20,1,5
1745300450.1095798,20,2,10
1745300450.5712135,20,2,10
1745300462.9182286,20,1,5
1745300462.9880185,20,1,5
1745302792.7695296,20,1,5
1745302793.3506522,20,1,5
1745302795.1779294,20,2,10
1745302795.630475,20,2,10
1745302808.5524776,20,1,5
1745302808.8677874,20,1,5
1745305209.2901757,20,1,5
1745305209.8343894,20,1,5
1745305211.5664542,20,2,10
1745305212.1564977,20,2,10
1745305226.0745478,20,1,5
1745305226.167337,20,1,5
1745306849.9339821,20,1,5
1745306850.523225,20,1,5
1745306852.1250992,20,2,10
1745306852.534901,20,2,10
1745306865.5874047,20,1,5
1745306865.6569684,20,1,5
1745308964.7440279,20,1,5
1745308965.4679291,20,1,5
1745308967.3113165,20,2,10
1745308967.9270344,20,2,10
1745308985.8222187,20,1,5
1745308985.9207418,20,1,5
1745310772.4945261,20,1,5
1745310773.2102878,20,1,5
1745310775.1164186,20,2,10
1745310775.7334914,20,2,10
1745310793.6609764,20,1,5
1745310793.7582965,20,1,5
1745314366.1499968,20,1,5
1745314366.5044332,20,1,5
1745314368.040711,20,2,10
1745314368.3736696,20,2,10
1745314379.5460246,20,1,5
1745314379.6000912,20,1,5
1745316294.7879045,20,1,5
1745316295.1879563,20,1,5
1745316296.792515,20,2,10
1745316297.617048,20,2,10
1745316309.5757115,20,1,5
1745316309.6475143,20,1,5
1745317748.8960934,20,1,5
1745317749.5205133,20,1,5
1745317751.1025114,20,2,10
1745317751.502105,20,2,10
1745317764.753065,20,1,5
1745317764.8352828,20,1,5
1745319969.0011353,20,1,5
1745319970.052984,20,1,5
1745319971.523002,20,2,10
1745319971.9559898,20,2,10
1745319984.610239,20,1,5
1745319984.6763525,20,1,5
1745321718.8501298,20,1,5
1745321719.297629,20,1,5
1745321721.1662347,20,2,10
1745321721.6506486,20,2,10
1745321734.6325433,20,1,5
1745321734.7088876,20,1,5
1745323984.7849133,20,1,5
1745323985.4174528,20,1,5
1745323987.1346521,20,2,10
1745323988.0469682,20,2,10
1745324000.2191398,20,1,5
1745324000.3081548,20,1,5
1745326310.6416476,20,1,5
1745326311.1553202,20,1,5
1745326313.0648906,20,2,10
1745326313.5334103,20,2,10
1745326328.2448018,20,1,5
1745326328.3291147,20,1,5
1745327633.6924345,20,1,5
1745327634.1665328,20,1,5
1745327635.7502124,20,2,10
1745327636.74243,20,2,10
1745327651.312798,20,1,5
1745327651.6435044,20,1,5
1745330143.57473,20,1,5
1745330144.2151875,20,1,5
1745330146.0740848,20,2,10
1745330146.609865,20,2,10
1745330161.822845,20,1,5
1745330161.9096036,20,1,5
1745332479.2073894,20,1,5
1745332479.6552994,20,1,5
1745332481.1389887,20,2,10
1745332481.5881245,20,2,10
1745332494.1644626,20,1,5
1745332494.2320096,20,1,5
1745333993.9603903,20,1,5
1745333994.3170278,20,1,5
1745333996.0350792,20,2,10
1745333996.3552113,20,2,10
1745334008.75948,20,1,5
1745334008.829459,20,1,5
1745335851.1056118,20,1,5
1745335851.7566893,20,1,5
1745335853.3282087,20,2,10
1745335853.7409196,20,2,10
1745335866.8395052,20,1,5
1745335866.9994917,20,1,5
</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
1744908585,643.296875,17.8
1744908585,643.296875,18.3
1744908585,643.36328125,17.1
1744908585,643.36328125,17.6
1744908585,643.36328125,18.4
1744908585,643.36328125,16.0
1744908585,643.36328125,20.4
1744909050,694.60546875,23.0
1744909050,694.60546875,15.6
1744909050,694.60546875,25.0
1744909050,694.60546875,32.4
1744926025,924.46875,33.8
1744926025,924.46875,31.9
1744926025,924.46875,31.8
1744926025,924.46875,37.2
1744956873,969.7890625,44.1
1744956873,969.7890625,16.0
1744956873,969.7890625,17.6
1744956873,969.7890625,23.7
1744987858,952.84765625,30.7
1744987858,952.84765625,35.2
1744987858,952.84765625,35.2
1744987858,952.84765625,35.2
1745035049,1022.34765625,50.7
1745035049,1022.34765625,50.9
1745035049,1022.34765625,50.2
1745035049,1022.34765625,54.2
1745081527,962.65625,46.9
1745081527,962.65625,43.9
1745081527,962.65625,43.2
1745081527,962.65625,45.5
1745123149,1025.796875,20.0
1745123149,1025.796875,14.2
1745123149,1025.796875,14.0
1745123149,1025.796875,13.2
1745170117,1001.875,17.9
1745170117,1001.875,4.4
1745170117,1001.875,4.4
1745170117,1001.875,5.0
1745214308,1006.7734375,24.6
1745214308,1006.7734375,21.0
1745214308,1006.7734375,20.8
1745214308,1006.7734375,23.9
1745253461,1057.8046875,36.9
1745253461,1057.8046875,32.2
1745253462,1057.8046875,31.0
1745253462,1057.8046875,26.3
1745294781,1022.17578125,10.9
1745294782,1022.17578125,4.2
1745294782,1022.17578125,3.9
1745294782,1022.17578125,4.1
1745335875,1037.74609375,22.7
1745335875,1037.74609375,26.1
1745335875,1037.74609375,31.8
1745335875,1037.74609375,32.4
</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>
			<h1>&nbsp;Exit-Codes</h1>
			<div class="invert_in_dark_mode" id="plotExitCodesPieChart"></div>
	</body>
</html>