OmniOpt2

Setting	Value
Max. nr. evaluations	500
Number random steps	20
Nr. of workers (parameter)	20
Main process memory (GB)	8
Worker memory (GB)	1
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
510	0	0	510
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_Luxembourg_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
<!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_Luxembourg_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1&laquo; from OmniOpt2-Share</title>
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			.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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			        460,
			        "460_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        22,
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			        51,
			        0.47287658440908414
			    ],
			    [
			        461,
			        "461_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        4235,
			        1880,
			        3170,
			        0.5213596430549398
			    ],
			    [
			        462,
			        "462_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        3748,
			        2769,
			        1523,
			        0.09403841461567208
			    ],
			    [
			        463,
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			        "GenerationStep_0",
			        1997,
			        806,
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			        0.8924243980495259
			    ],
			    [
			        464,
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			        "FAILED",
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			        "GenerationStep_0",
			        2083,
			        2634,
			        1250,
			        0.3133163972707465
			    ],
			    [
			        465,
			        "465_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        3502,
			        671,
			        3109,
			        0.6750374137765728
			    ],
			    [
			        466,
			        "466_0",
			        "FAILED",
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			        "GenerationStep_0",
			        4149,
			        4060,
			        2198,
			        0.19319601007010787
			    ],
			    [
			        467,
			        "467_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        268,
			        2097,
			        4070,
			        0.8029312306608073
			    ],
			    [
			        468,
			        "468_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        1185,
			        4864,
			        3315,
			        0.9750170400622301
			    ],
			    [
			        469,
			        "469_0",
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			        "GenerationStep_0",
			        4482,
			        1807,
			        185,
			        0.021170171406678855
			    ],
			    [
			        470,
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			        2546,
			        3477,
			        4509,
			        0.596666606967058
			    ],
			    [
			        471,
			        "471_0",
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			        1788,
			        420,
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			        0.391747174818255
			    ],
			    [
			        472,
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			        1360,
			        4094,
			        4731,
			        0.06713581729205326
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			    [
			        473,
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			        3053,
			        2287,
			        1619,
			        0.927103308980912
			    ],
			    [
			        474,
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			        4911,
			        2981,
			        3697,
			        0.4374727665768005
			    ],
			    [
			        475,
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			        678,
			        1174,
			        579,
			        0.5489929448973387
			    ],
			    [
			        476,
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			        385,
			        3433,
			        1962,
			        0.720758195893839
			    ],
			    [
			        477,
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			        3956,
			        220,
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			        0.2656455502831377
			    ],
			    [
			        478,
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			        3386,
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			    ],
			    [
			        479,
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			        2276,
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			        0.14527747306870295
			    ],
			    [
			        480,
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			        2211,
			        3199,
			        4341,
			        0.3749241827264428
			    ],
			    [
			        481,
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			        3301,
			        142,
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			        0.6115388867010363
			    ],
			    [
			        482,
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			        "FAILED",
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			        4060,
			        4585,
			        2837,
			        0.004834923455491662
			    ],
			    [
			        483,
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			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        431,
			        1529,
			        969,
			        0.9894015756555833
			    ],
			    [
			        484,
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			        "FAILED",
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			        764,
			        4328,
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			        0.7865959529400803
			    ],
			    [
			        485,
			        "485_0",
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			        "GenerationStep_0",
			        4977,
			        2366,
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			        0.20758051589392124
			    ],
			    [
			        486,
			        "486_0",
			        "FAILED",
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			        "GenerationStep_0",
			        3007,
			        2903,
			        139,
			        0.6582143919152208
			    ],
			    [
			        487,
			        "487_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        1255,
			        940,
			        3278,
			        0.3281886472351849
			    ],
			    [
			        488,
			        "488_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        1839,
			        4786,
			        391,
			        0.13038974294355138
			    ],
			    [
			        489,
			        "489_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        2656,
			        1573,
			        3500,
			        0.8657386662418023
			    ],
			    [
			        490,
			        "490_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        4392,
			        3711,
			        1807,
			        0.2512455642986111
			    ],
			    [
			        491,
			        "491_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        1115,
			        498,
			        4930,
			        0.7371094300879165
			    ],
			    [
			        492,
			        "492_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        158,
			        2712,
			        2612,
			        0.5345929291432724
			    ],
			    [
			        493,
			        "493_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        4097,
			        906,
			        732,
			        0.4538239710013382
			    ],
			    [
			        494,
			        "494_0",
			        "FAILED",
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			        "GenerationStep_0",
			        3573,
			        3826,
			        3962,
			        0.9122155490862206
			    ],
			    [
			        495,
			        "495_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        2173,
			        2019,
			        2072,
			        0.08397476585721597
			    ],
			    [
			        496,
			        "496_0",
			        "FAILED",
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			        "GenerationStep_0",
			        1945,
			        3921,
			        3609,
			        0.6305792220341973
			    ],
			    [
			        497,
			        "497_0",
			        "FAILED",
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			        "GenerationStep_0",
			        3638,
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			        0.3635982180310413
			    ],
			    [
			        498,
			        "498_0",
			        "FAILED",
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			        "GenerationStep_0",
			        4325,
			        2534,
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			        0.7519227800874971
			    ],
			    [
			        499,
			        "499_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        93,
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			        0.23448123029414564
			    ],
			    [
			        500,
			        "500_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        1048,
			        3566,
			        910,
			        0.03149270352590829
			    ],
			    [
			        501,
			        "501_0",
			        "FAILED",
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			        "GenerationStep_0",
			        4618,
			        353,
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			        0.9549732126138173
			    ],
			    [
			        502,
			        "502_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        2722,
			        4992,
			        1913,
			        0.4105785633331165
			    ],
			    [
			        503,
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			        "FAILED",
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			        "GenerationStep_0",
			        1613,
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			        0.583660782490205
			    ],
			    [
			        504,
			        "504_0",
			        "FAILED",
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			        "GenerationStep_0",
			        1496,
			        3125,
			        2286,
			        0.8780244083438069
			    ],
			    [
			        505,
			        "505_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        2916,
			        1162,
			        4178,
			        0.11038964508855716
			    ],
			    [
			        506,
			        "506_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        4735,
			        4199,
			        1142,
			        0.5064719092085957
			    ],
			    [
			        507,
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			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        855,
			        2236,
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			        0.4897155590225942
			    ],
			    [
			        508,
			        "508_0",
			        "FAILED",
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			        "GenerationStep_0",
			        521,
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			        0.2864064738494344
			    ],
			    [
			        509,
			        "509_0",
			        "FAILED",
			        "Sobol",
			        "GenerationStep_0",
			        3818,
			        1354,
			        1320,
			        0.7097209641046822
			    ]
			];
			var tab_worker_usage_csv_json = [
			    [
			        1744909074.3259428,
			        20,
			        0,
			        0
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1744909074,
			        743.20703125,
			        24.4
			    ],
			    [
			        1744909074,
			        743.20703125,
			        27
			    ],
			    [
			        1744909074,
			        743.20703125,
			        28.6
			    ],
			    [
			        1744909074,
			        743.20703125,
			        21.9
			    ],
			    [
			        1744909074,
			        743.20703125,
			        36.8
			    ],
			    [
			        1744909074,
			        743.20703125,
			        28.2
			    ],
			    [
			        1744909074,
			        743.20703125,
			        28.9
			    ]
			];
			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();

				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>500   </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></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>510</td>
			<td>0</td>
			<td>0</td>
			<td>510</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,recent_samples_size,max_window_size,min_window_size,min_p_value
0,0_0,FAILED,Sobol,GenerationStep_0,2451,3285,2462,0.330201507228612911593046419512
1,1_0,FAILED,Sobol,GenerationStep_0,3216,248,4353,0.656203423217870285277797393064
2,2_0,FAILED,Sobol,GenerationStep_0,3820,4399,967,0.209349506607931085122586978287
3,3_0,FAILED,Sobol,GenerationStep_0,516,1362,2845,0.784828856313042333425755714416
4,4_0,FAILED,Sobol,GenerationStep_0,846,4182,4538,0.987390562303923080555989599816
5,5_0,FAILED,Sobol,GenerationStep_0,4738,2239,1417,0.006847860663663596185457560495
6,6_0,FAILED,Sobol,GenerationStep_0,2925,3108,3266,0.609771745419688482314768407377
7,7_0,FAILED,Sobol,GenerationStep_0,1493,1165,156,0.376693247864302249716672577051
8,8_0,FAILED,Sobol,GenerationStep_0,1611,4990,3512,0.085741845738887795258520441166
9,9_0,FAILED,Sobol,GenerationStep_0,2728,1796,374,0.910446545348037039602218101209
10,10_0,FAILED,Sobol,GenerationStep_0,4620,3564,4937,0.455834922953322507765960835968
11,11_0,FAILED,Sobol,GenerationStep_0,1042,370,1805,0.532580053334776315487886222400
12,12_0,FAILED,Sobol,GenerationStep_0,84,2527,735,0.735340381695423261909638767975
13,13_0,FAILED,Sobol,GenerationStep_0,4328,740,2604,0.253012718604132547106644324231
14,14_0,FAILED,Sobol,GenerationStep_0,3647,3914,2089,0.863725745778996523149828590249
15,15_0,FAILED,Sobol,GenerationStep_0,1942,2126,3950,0.132400769319385269717770370335
16,16_0,FAILED,Sobol,GenerationStep_0,2183,3813,488,0.581525909246876859803876413935
17,17_0,FAILED,Sobol,GenerationStep_0,3557,2026,3597,0.412711512719932949178058834150
18,18_0,FAILED,Sobol,GenerationStep_0,4087,2700,1710,0.953082211440801629898089686321
19,19_0,FAILED,Sobol,GenerationStep_0,175,913,4832,0.033381780842412264731500215476
20,20_0,FAILED,Sobol,GenerationStep_0,1132,3694,2787,0.236614135026652350202169827753
21,21_0,FAILED,Sobol,GenerationStep_0,4378,501,908,0.749787981268018488556492684438
22,22_0,FAILED,Sobol,GenerationStep_0,2638,4768,3786,0.365487250693235565801586517409
23,23_0,FAILED,Sobol,GenerationStep_0,1853,1575,1896,0.628688295285031228942784764513
24,24_0,FAILED,Sobol,GenerationStep_0,1266,2900,4165,0.828927756688278116747881085757
25,25_0,FAILED,Sobol,GenerationStep_0,2990,957,2303,0.159428160553984343827949032857
26,26_0,FAILED,Sobol,GenerationStep_0,4966,4326,3013,0.707588001693692070226404666755
27,27_0,FAILED,Sobol,GenerationStep_0,780,2383,1145,0.288541330347396429711892551495
28,28_0,FAILED,Sobol,GenerationStep_0,449,4578,1317,0.491606498795933988255058011418
29,29_0,FAILED,Sobol,GenerationStep_0,4046,1541,4448,0.504582893291767642374168190145
30,30_0,FAILED,Sobol,GenerationStep_0,3283,3191,236,0.112524456932209429571578596097
31,31_0,FAILED,Sobol,GenerationStep_0,2225,154,3375,0.875891520356666286595270776161
32,32_0,FAILED,Sobol,GenerationStep_0,2276,4500,4868,0.645023543236218355190203510574
33,33_0,FAILED,Sobol,GenerationStep_0,3393,1306,1756,0.351102715099882334293113217427
34,34_0,FAILED,Sobol,GenerationStep_0,3956,3426,3560,0.766610973359830638607093078463
35,35_0,FAILED,Sobol,GenerationStep_0,378,232,442,0.221741855292674150401666111065
36,36_0,FAILED,Sobol,GenerationStep_0,670,2978,2177,0.050204802703764289661947373133
37,37_0,FAILED,Sobol,GenerationStep_0,4915,1191,4057,0.938209961476363263344069309824
38,38_0,FAILED,Sobol,GenerationStep_0,3061,4091,627,0.429046790440659964183112151659
39,39_0,FAILED,Sobol,GenerationStep_0,1356,2304,2516,0.567141403423063406030735222885
40,40_0,FAILED,Sobol,GenerationStep_0,1787,3460,1035,0.890291506341192917517446403508
41,41_0,FAILED,Sobol,GenerationStep_0,2553,423,2894,0.096173222738131877718181783621
42,42_0,FAILED,Sobol,GenerationStep_0,4483,4846,2413,0.519470623416919297099525465455
43,43_0,FAILED,Sobol,GenerationStep_0,1179,1809,4285,0.474767520461231440354055166608
44,44_0,FAILED,Sobol,GenerationStep_0,260,4048,3178,0.303429090242087806661430704480
45,45_0,FAILED,Sobol,GenerationStep_0,4153,2104,48,0.690749053128529300060733930877
46,46_0,FAILED,Sobol,GenerationStep_0,3510,2622,4646,0.173828176308050752485456769136
47,47_0,FAILED,Sobol,GenerationStep_0,2078,678,1505,0.812576552263740481407694460358
48,48_0,FAILED,Sobol,GenerationStep_0,2008,2761,3121,0.393516236234921934489250361366
49,49_0,FAILED,Sobol,GenerationStep_0,3733,818,1233,0.594899461964517817236242080980
50,50_0,FAILED,Sobol,GenerationStep_0,4223,3836,4077,0.023183104893658310063919714139
51,51_0,FAILED,Sobol,GenerationStep_0,37,1892,2196,0.973006022989377328258342458867
52,52_0,FAILED,Sobol,GenerationStep_0,957,4755,188,0.801164130312576938663937653473
53,53_0,FAILED,Sobol,GenerationStep_0,4555,1718,3307,0.194964997062925249338150024414
54,54_0,FAILED,Sobol,GenerationStep_0,2774,3642,1386,0.673026441358029803296858517569
55,55_0,FAILED,Sobol,GenerationStep_0,1716,605,4497,0.315329256333876373208369159329
56,56_0,FAILED,Sobol,GenerationStep_0,1442,4260,1602,0.147288503165729334209999024097
57,57_0,FAILED,Sobol,GenerationStep_0,2815,2473,4744,0.846886771165486385015697123890
58,58_0,FAILED,Sobol,GenerationStep_0,4829,2874,576,0.267412708309851587795691330030
59,59_0,FAILED,Sobol,GenerationStep_0,917,1086,3705,0.718989151222538147578688949579
60,60_0,FAILED,Sobol,GenerationStep_0,625,3208,3835,0.546980072810035244934567799646
61,61_0,FAILED,Sobol,GenerationStep_0,3871,14,1964,0.439483722249977282192645589021
62,62_0,FAILED,Sobol,GenerationStep_0,3146,4633,2719,0.925334308963920881829778863903
63,63_0,FAILED,Sobol,GenerationStep_0,2361,1440,859,0.068902900894917545882023546255
64,64_0,FAILED,Sobol,GenerationStep_0,2411,4137,2627,0.854704987261164950140823748370
65,65_0,FAILED,Sobol,GenerationStep_0,3177,2331,755,0.155110470223426805125299665633
66,66_0,FAILED,Sobol,GenerationStep_0,3859,3024,3926,0.726780693810526234877045226312
67,67_0,FAILED,Sobol,GenerationStep_0,554,1218,2068,0.275200380857661353051213382059
68,68_0,FAILED,Sobol,GenerationStep_0,884,3397,317,0.447271469221636630564375991526
69,69_0,FAILED,Sobol,GenerationStep_0,4777,184,3457,0.554771570743713526852047834836
70,70_0,FAILED,Sobol,GenerationStep_0,2886,4471,1863,0.076724942376464613791320346081
71,71_0,FAILED,Sobol,GenerationStep_0,1454,1258,4992,0.933152480405289641574029246840
72,72_0,FAILED,Sobol,GenerationStep_0,1650,2589,1479,0.602685292522050386487819650938
73,73_0,FAILED,Sobol,GenerationStep_0,2767,627,4598,0.401305817754473548308880026525
74,74_0,FAILED,Sobol,GenerationStep_0,4582,4015,93,0.980826148056797686436425465217
75,75_0,FAILED,Sobol,GenerationStep_0,1004,2052,3206,0.030999359920900314974145928204
76,76_0,FAILED,Sobol,GenerationStep_0,45,4896,4335,0.202781326514016840834031540908
77,77_0,FAILED,Sobol,GenerationStep_0,4289,1839,2446,0.808984210725687491461144418281
78,78_0,FAILED,Sobol,GenerationStep_0,3687,3509,2863,0.323118912277277570144207174963
79,79_0,FAILED,Sobol,GenerationStep_0,1981,453,983,0.680812227261252678189862308500
80,80_0,FAILED,Sobol,GenerationStep_0,2066,3610,4385,0.103959053295664488603122777022
81,81_0,FAILED,Sobol,GenerationStep_0,3440,553,1258,0.898081087860744475825924837409
82,82_0,FAILED,Sobol,GenerationStep_0,4204,4723,3437,0.482587645528651743020986941701
83,83_0,FAILED,Sobol,GenerationStep_0,292,1666,296,0.527286878444161222212471784587
84,84_0,FAILED,Sobol,GenerationStep_0,1250,3885,2321,0.698565382579620974823342294258
85,85_0,FAILED,Sobol,GenerationStep_0,4496,1922,4181,0.311249170655198414969788700546
86,86_0,FAILED,Sobol,GenerationStep_0,2521,2811,1127,0.820366208207141567321230013476
87,87_0,FAILED,Sobol,GenerationStep_0,1736,848,2997,0.181613962211273599622884944438
88,88_0,FAILED,Sobol,GenerationStep_0,1382,4679,885,0.358920931195560843907088610649
89,89_0,FAILED,Sobol,GenerationStep_0,3107,1466,2767,0.652845510293915909372230998997
90,90_0,FAILED,Sobol,GenerationStep_0,4849,3253,1919,0.229533397880662237700022387799
91,91_0,FAILED,Sobol,GenerationStep_0,663,40,3807,0.774398645907640403862615130492
92,92_0,FAILED,Sobol,GenerationStep_0,331,2845,3655,0.945997708448022556204648481071
93,93_0,FAILED,Sobol,GenerationStep_0,3929,1038,543,0.057996300637442620151684735674
94,94_0,FAILED,Sobol,GenerationStep_0,3400,4232,4775,0.574963444904610487817819830525
95,95_0,FAILED,Sobol,GenerationStep_0,2341,2425,1655,0.436864961882028723927362534596
96,96_0,FAILED,Sobol,GenerationStep_0,2236,3079,25,0.167213942736014725687354598449
97,97_0,FAILED,Sobol,GenerationStep_0,3353,1116,3157,0.836717408910486848405696491682
98,98_0,FAILED,Sobol,GenerationStep_0,3995,4154,1528,0.296361407039314517231076706594
99,99_0,FAILED,Sobol,GenerationStep_0,417,2191,4667,0.715404327423591168688687957911
100,100_0,FAILED,Sobol,GenerationStep_0,709,4445,2951,0.512399144597817213231394362083
101,101_0,FAILED,Sobol,GenerationStep_0,4954,1388,1090,0.499426620142161825643967176802
102,102_0,FAILED,Sobol,GenerationStep_0,3022,3331,4228,0.883681098155025379625726600352
103,103_0,FAILED,Sobol,GenerationStep_0,1317,275,2358,0.120310283768549561300709171974
104,104_0,FAILED,Sobol,GenerationStep_0,1827,3963,3995,0.420529687882494174200331826796
105,105_0,FAILED,Sobol,GenerationStep_0,2592,2156,2117,0.589347954449616406868983631284
106,106_0,FAILED,Sobol,GenerationStep_0,4444,2576,2578,0.041173282497283074377047995540
107,107_0,FAILED,Sobol,GenerationStep_0,1140,770,687,0.960869962133653499058993929793
108,108_0,FAILED,Sobol,GenerationStep_0,221,3532,1775,0.757575657537020719090037346177
109,109_0,FAILED,Sobol,GenerationStep_0,4114,319,4884,0.244405681335832902778548714195
110,110_0,FAILED,Sobol,GenerationStep_0,3549,4957,424,0.636510266063921137380532400130
111,111_0,FAILED,Sobol,GenerationStep_0,2118,1744,3544,0.373305470510106540693584520341
112,112_0,FAILED,Sobol,GenerationStep_0,1891,4818,2026,0.918264720510598264624491093855
113,113_0,FAILED,Sobol,GenerationStep_0,3616,1605,3895,0.093563890941627328445839850701
114,114_0,FAILED,Sobol,GenerationStep_0,4340,3744,797,0.540371554989647062683388867299
115,115_0,FAILED,Sobol,GenerationStep_0,155,531,2659,0.463622673646174376926865079440
116,116_0,FAILED,Sobol,GenerationStep_0,1075,2668,4726,0.260800394873134777640188985970
117,117_0,FAILED,Sobol,GenerationStep_0,4672,861,1586,0.743131928004603814486017654417
118,118_0,FAILED,Sobol,GenerationStep_0,2657,3781,3723,0.140222740098275233666669237209
119,119_0,FAILED,Sobol,GenerationStep_0,1599,1974,592,0.871543965595867442530675361922
120,120_0,FAILED,Sobol,GenerationStep_0,1559,3163,3330,0.663989205399900694892778574285
121,121_0,FAILED,Sobol,GenerationStep_0,2932,106,209,0.337991162241715936698227551460
122,122_0,FAILED,Sobol,GenerationStep_0,4711,4549,4473,0.792648933004960420944939869514
123,123_0,FAILED,Sobol,GenerationStep_0,799,1493,1365,0.217165832337830211340445885071
124,124_0,FAILED,Sobol,GenerationStep_0,508,4372,1176,0.014664111969713121072511619047
125,125_0,FAILED,Sobol,GenerationStep_0,3754,2409,3066,0.995210683650150862433747533942
126,126_0,FAILED,Sobol,GenerationStep_0,3262,2946,2253,0.384482825662661342747128401243
127,127_0,FAILED,Sobol,GenerationStep_0,2477,983,4132,0.617557572256028697310625830141
128,128_0,FAILED,Sobol,GenerationStep_0,2494,4875,1100,0.457097149581648376504006137111
129,129_0,FAILED,Sobol,GenerationStep_0,3252,1819,2980,0.537142173914518239463689042168
130,130_0,FAILED,Sobol,GenerationStep_0,3777,3450,2328,0.078742913427762684097643841596
131,131_0,FAILED,Sobol,GenerationStep_0,479,393,4218,0.907722995269578003529886700562
132,132_0,FAILED,Sobol,GenerationStep_0,813,2651,3399,0.860506830557715152174580452993
133,133_0,FAILED,Sobol,GenerationStep_0,4694,688,291,0.125897202151082437948659276117
134,134_0,FAILED,Sobol,GenerationStep_0,2958,4037,4405,0.740382625413592898588888147060
135,135_0,FAILED,Sobol,GenerationStep_0,1538,2075,1282,0.253794822094030647630091834799
136,136_0,FAILED,Sobol,GenerationStep_0,1576,3415,4797,0.204787378585804258346314554728
137,137_0,FAILED,Sobol,GenerationStep_0,2686,203,1667,0.783566622242331534131665193854
138,138_0,FAILED,Sobol,GenerationStep_0,4655,4529,3651,0.332925067540351282691091228116
139,139_0,FAILED,Sobol,GenerationStep_0,1085,1316,512,0.663202362971380354750294827682
140,140_0,FAILED,Sobol,GenerationStep_0,129,4081,1949,0.616275320030376327906651567901
141,141_0,FAILED,Sobol,GenerationStep_0,4362,2275,3811,0.379912170527968551247965933726
142,142_0,FAILED,Sobol,GenerationStep_0,3602,3007,874,0.986608451371639993965345638571
143,143_0,FAILED,Sobol,GenerationStep_0,1908,1201,2742,0.001805609503109008133481250269
144,144_0,FAILED,Sobol,GenerationStep_0,2131,2864,1850,0.704489113535825106637844328361
145,145_0,FAILED,Sobol,GenerationStep_0,3532,1058,4971,0.281913918172195521183454047787
146,146_0,FAILED,Sobol,GenerationStep_0,4139,4290,349,0.834090027469862271836120726221
147,147_0,FAILED,Sobol,GenerationStep_0,200,2483,3459,0.160086419036984423103220365192
148,148_0,FAILED,Sobol,GenerationStep_0,1156,4624,3926,0.113662838553637277061447719007
149,149_0,FAILED,Sobol,GenerationStep_0,4434,1411,2034,0.880573667999822617957761394791
150,150_0,FAILED,Sobol,GenerationStep_0,2614,3237,2647,0.484483721477910855846005233616
151,151_0,FAILED,Sobol,GenerationStep_0,1798,24,769,0.501979370276723013688524588360
152,152_0,FAILED,Sobol,GenerationStep_0,1292,3865,2880,0.959709631058387468982573409448
153,153_0,FAILED,Sobol,GenerationStep_0,3044,1902,1010,0.036480676442664117242742349845
154,154_0,FAILED,Sobol,GenerationStep_0,4940,2752,4299,0.580867643321491766705833015294
155,155_0,FAILED,Sobol,GenerationStep_0,727,789,2438,0.407549234495963919044925205526
156,156_0,FAILED,Sobol,GenerationStep_0,395,3672,103,0.360805095607694248371899448102
157,157_0,FAILED,Sobol,GenerationStep_0,4024,615,3240,0.627549906221218423141294806555
158,158_0,FAILED,Sobol,GenerationStep_0,3337,4746,1451,0.239217665484081937199434264585
159,159_0,FAILED,Sobol,GenerationStep_0,2247,1689,4582,0.756910766028426551521590681659
160,160_0,FAILED,Sobol,GenerationStep_0,2318,3593,3739,0.518322715542744894001714328624
161,161_0,FAILED,Sobol,GenerationStep_0,3427,380,620,0.470091088569723036805214633205
162,162_0,FAILED,Sobol,GenerationStep_0,3914,4980,4689,0.897404757406469411051830320503
163,163_0,FAILED,Sobol,GenerationStep_0,343,1767,1579,0.098782461504824461973051086261
164,164_0,FAILED,Sobol,GenerationStep_0,637,3943,806,0.176917538213171049443772631093
165,165_0,FAILED,Sobol,GenerationStep_0,4869,2136,2693,0.819209680190589262238631818036
166,166_0,FAILED,Sobol,GenerationStep_0,3095,2517,1998,0.298257293207757179231975896982
167,167_0,FAILED,Sobol,GenerationStep_0,1402,711,3879,0.690096510397177231865839530656
168,168_0,FAILED,Sobol,GenerationStep_0,1751,4389,2240,0.771287412693724028223130062543
169,169_0,FAILED,Sobol,GenerationStep_0,2509,1333,4111,0.222889770609233511811098082944
170,170_0,FAILED,Sobol,GenerationStep_0,4519,3315,1208,0.642414297027140812623713372886
171,171_0,FAILED,Sobol,GenerationStep_0,1222,258,3068,0.343989456592220799180381618498
172,172_0,FAILED,Sobol,GenerationStep_0,305,3098,4473,0.422413655071426197284978343305
173,173_0,FAILED,Sobol,GenerationStep_0,4185,1136,1331,0.564052034075558150760798525880
174,174_0,FAILED,Sobol,GenerationStep_0,3465,4212,3351,0.050857352877501399435189455289
175,175_0,FAILED,Sobol,GenerationStep_0,2046,2249,222,0.943381765953078876840720567998
176,176_0,FAILED,Sobol,GenerationStep_0,1955,4316,4250,0.270625907779484975446138150801
177,177_0,FAILED,Sobol,GenerationStep_0,3707,2353,2370,0.725502244643587590466893288976
178,178_0,FAILED,Sobol,GenerationStep_0,4276,2929,2948,0.142240543695911741961523944155
179,179_0,FAILED,Sobol,GenerationStep_0,63,966,1059,0.846114193928334867855767242872
180,180_0,FAILED,Sobol,GenerationStep_0,980,3181,1559,0.924066366583947140789234708791
181,181_0,FAILED,Sobol,GenerationStep_0,4609,125,4671,0.064350306567922233025313971666
182,182_0,FAILED,Sobol,GenerationStep_0,2751,4607,15,0.553973289369512289503916235844
183,183_0,FAILED,Sobol,GenerationStep_0,1661,1550,3133,0.442216798581182957139645850475
184,184_0,FAILED,Sobol,GenerationStep_0,1467,2729,397,0.016670004030223936619670155324
185,185_0,FAILED,Sobol,GenerationStep_0,2867,922,3527,0.969792816077359010051850418677
186,186_0,FAILED,Sobol,GenerationStep_0,4804,3803,1781,0.394288820914458493227527924319
187,187_0,FAILED,Sobol,GenerationStep_0,865,1997,4922,0.599947428876720367796337995969
188,188_0,FAILED,Sobol,GenerationStep_0,570,4798,2540,0.677579043127410129976340158464
189,189_0,FAILED,Sobol,GenerationStep_0,3847,1585,681,0.316597206156235155827260996375
190,190_0,FAILED,Sobol,GenerationStep_0,3201,3684,4014,0.798431046538986222138589710084
191,191_0,FAILED,Sobol,GenerationStep_0,2384,471,2142,0.187971773061063135434878290653
192,192_0,FAILED,Sobol,GenerationStep_0,2377,2547,3754,0.977584358665347097350206695410
193,193_0,FAILED,Sobol,GenerationStep_0,3135,760,1894,0.024457676578033715752980015168
194,194_0,FAILED,Sobol,GenerationStep_0,3894,3973,2800,0.607765644972398821899162157933
195,195_0,FAILED,Sobol,GenerationStep_0,596,2186,929,0.402110787972155936387252950226
196,196_0,FAILED,Sobol,GenerationStep_0,930,4928,1690,0.324419247637782237614345604015
197,197_0,FAILED,Sobol,GenerationStep_0,4811,1735,4818,0.685397214568778889720590541401
198,198_0,FAILED,Sobol,GenerationStep_0,2840,3542,489,0.195759520032722483806608693158
199,199_0,FAILED,Sobol,GenerationStep_0,1420,348,3630,0.806222544472664615078372207790
200,200_0,FAILED,Sobol,GenerationStep_0,1693,4164,272,0.733322369711007948644976295327
201,201_0,FAILED,Sobol,GenerationStep_0,2803,2220,3383,0.278442162806727011581386932448
202,202_0,FAILED,Sobol,GenerationStep_0,4538,3050,1301,0.853900024485867437107344812830
203,203_0,FAILED,Sobol,GenerationStep_0,968,1107,4420,0.150030125215463328025577993685
204,204_0,FAILED,Sobol,GenerationStep_0,13,3341,3042,0.072139962511323402205576371671
205,205_0,FAILED,Sobol,GenerationStep_0,4245,304,1160,0.931852152487169904659936037206
206,206_0,FAILED,Sobol,GenerationStep_0,3719,4416,4156,0.450033128032274520879951751340
207,207_0,FAILED,Sobol,GenerationStep_0,2026,1379,2268,0.561793369782622953323425463168
208,208_0,FAILED,Sobol,GenerationStep_0,2093,4559,3259,0.230709895676653814478029858037
209,209_0,FAILED,Sobol,GenerationStep_0,3493,1522,119,0.779103667720966064358378844190
210,210_0,FAILED,Sobol,GenerationStep_0,4178,3133,4564,0.351775287149753423943110419714
211,211_0,FAILED,Sobol,GenerationStep_0,239,96,1435,0.650203878546692481954494269303
212,212_0,FAILED,Sobol,GenerationStep_0,1195,2955,948,0.571841690018959347696636541514
213,213_0,FAILED,Sobol,GenerationStep_0,4473,1012,2820,0.430199440974649016666830902977
214,214_0,FAILED,Sobol,GenerationStep_0,2575,4342,2500,0.951198095404170440581026468863
215,215_0,FAILED,Sobol,GenerationStep_0,1759,2399,4358,0.058677433290611959171290124004
216,216_0,FAILED,Sobol,GenerationStep_0,1330,3714,2092,0.477882631157711124103570909938
217,217_0,FAILED,Sobol,GenerationStep_0,3082,521,3981,0.526110388090554659257236380654
218,218_0,FAILED,Sobol,GenerationStep_0,4901,4827,712,0.106600677600502971587026479483
219,219_0,FAILED,Sobol,GenerationStep_0,688,1634,2593,0.905226724464166854211555346410
220,220_0,FAILED,Sobol,GenerationStep_0,355,3751,4947,0.827031721672136344025716425676
221,221_0,FAILED,Sobol,GenerationStep_0,3984,1964,1829,0.184735709654539809188023014030
222,222_0,FAILED,Sobol,GenerationStep_0,3376,2677,3482,0.697884257368836524726418701903
223,223_0,FAILED,Sobol,GenerationStep_0,2286,890,369,0.306048791141435516660607163431
224,224_0,FAILED,Sobol,GenerationStep_0,2200,3986,1389,0.044300753134582197823032601036
225,225_0,FAILED,Sobol,GenerationStep_0,3310,2042,4528,0.967525956788286567444856700604
226,226_0,FAILED,Sobol,GenerationStep_0,4031,2599,165,0.415335016677994273148755155489
227,227_0,FAILED,Sobol,GenerationStep_0,460,656,3296,0.588657295543700498363648421218
228,228_0,FAILED,Sobol,GenerationStep_0,754,3480,4088,0.635339484019577516171750630747
229,229_0,FAILED,Sobol,GenerationStep_0,4986,443,2219,0.368590922444034352345454408351
230,230_0,FAILED,Sobol,GenerationStep_0,2977,4906,3091,0.764727017334476122378816853598
231,231_0,FAILED,Sobol,GenerationStep_0,1284,1868,1229,0.247037786830309774588343429969
232,232_0,FAILED,Sobol,GenerationStep_0,1869,3034,2712,0.289705419827066379401259155202
233,233_0,FAILED,Sobol,GenerationStep_0,2627,1246,822,0.712276864228676975798748571833
234,234_0,FAILED,Sobol,GenerationStep_0,4402,4108,3861,0.167904594199545675881068973467
235,235_0,FAILED,Sobol,GenerationStep_0,1105,2321,1982,0.841912072672601818901227943570
236,236_0,FAILED,Sobol,GenerationStep_0,188,4481,557,0.888395638778712637417811492924
237,237_0,FAILED,Sobol,GenerationStep_0,4068,1287,3679,0.121481058370508251953445721938
238,238_0,FAILED,Sobol,GenerationStep_0,3583,3367,1641,0.509767046545725355244371712615
239,239_0,FAILED,Sobol,GenerationStep_0,2163,174,4749,0.492275267787091408422384120058
240,240_0,FAILED,Sobol,GenerationStep_0,1916,3263,663,0.791358123897202281327167838754
241,241_0,FAILED,Sobol,GenerationStep_0,3668,70,2524,0.212575129278656099751643182572
242,242_0,FAILED,Sobol,GenerationStep_0,4315,4650,2160,0.671020538133941579772567820328
243,243_0,FAILED,Sobol,GenerationStep_0,103,1456,4030,0.340747112743090829756198445466
244,244_0,FAILED,Sobol,GenerationStep_0,1019,4242,3589,0.387734141306858515196864800600
245,245_0,FAILED,Sobol,GenerationStep_0,4648,2454,457,0.624093539847247247287498339574
246,246_0,FAILED,Sobol,GenerationStep_0,2713,2816,4859,0.009593285772111265555239789649
247,247_0,FAILED,Sobol,GenerationStep_0,1623,1029,1721,0.994399997680820546541724525014
248,248_0,FAILED,Sobol,GenerationStep_0,1506,4694,4613,0.544962250606436326982873197267
249,249_0,FAILED,Sobol,GenerationStep_0,2906,1657,1504,0.464913475311547530477440659524
250,250_0,FAILED,Sobol,GenerationStep_0,4765,3620,3190,0.915508777451608302122565419268
251,251_0,FAILED,Sobol,GenerationStep_0,825,583,70,0.086532565649971374122095824077
252,252_0,FAILED,Sobol,GenerationStep_0,530,2782,2393,0.133686779949441530979115100308
253,253_0,FAILED,Sobol,GenerationStep_0,3808,838,4271,0.868292657394055256148135413241
254,254_0,FAILED,Sobol,GenerationStep_0,3240,3895,1036,0.261611073400080218487318006737
255,255_0,FAILED,Sobol,GenerationStep_0,2423,1951,2927,0.748202746759820680466646081186
256,256_0,FAILED,Sobol,GenerationStep_0,2441,3897,4515,0.248928726603649536075479886676
257,257_0,FAILED,Sobol,GenerationStep_0,3226,1935,1406,0.762838001417648015056727217598
258,258_0,FAILED,Sobol,GenerationStep_0,3790,2784,3288,0.370725734287686625734181689040
259,259_0,FAILED,Sobol,GenerationStep_0,544,821,168,0.633206596032436896948070170765
260,260_0,FAILED,Sobol,GenerationStep_0,836,3627,2217,0.586768205203022752414199203486
261,261_0,FAILED,Sobol,GenerationStep_0,4748,570,4095,0.417226001105643784505616622482
262,262_0,FAILED,Sobol,GenerationStep_0,2895,4701,1212,0.965392994377296420616119121405
263,263_0,FAILED,Sobol,GenerationStep_0,1522,1645,3103,0.046435609632544221081484892011
264,264_0,FAILED,Sobol,GenerationStep_0,1640,2828,839,0.494408172519598176908317554989
265,265_0,FAILED,Sobol,GenerationStep_0,2699,1021,2700,0.507632247726246710328723565908
266,266_0,FAILED,Sobol,GenerationStep_0,4631,4254,1984,0.123370091032702480782212717259
267,267_0,FAILED,Sobol,GenerationStep_0,1033,2447,3854,0.886504712029546504403754170198
268,268_0,FAILED,Sobol,GenerationStep_0,113,4667,3687,0.839777199429273646380522677646
269,269_0,FAILED,Sobol,GenerationStep_0,4299,1454,555,0.170037543586362138725576187426
270,270_0,FAILED,Sobol,GenerationStep_0,3658,3280,4762,0.710385863055661315179634129890
271,271_0,FAILED,Sobol,GenerationStep_0,1933,67,1624,0.291594497143570330344175545179
272,272_0,FAILED,Sobol,GenerationStep_0,2154,3370,2536,0.992630949288327291135658470012
273,273_0,FAILED,Sobol,GenerationStep_0,3586,157,646,0.011360440077632665348272844597
274,274_0,FAILED,Sobol,GenerationStep_0,4078,4483,4037,0.622080619384441479979841460590
275,275_0,FAILED,Sobol,GenerationStep_0,185,1270,2158,0.389745167682692406074806967808
276,276_0,FAILED,Sobol,GenerationStep_0,1103,4115,460,0.342514192624762625616341438217
277,277_0,FAILED,Sobol,GenerationStep_0,4408,2309,3581,0.669251534395758018725075544353
278,278_0,FAILED,Sobol,GenerationStep_0,2629,3041,1739,0.214586081230640407513376999304
279,279_0,FAILED,Sobol,GenerationStep_0,1863,1234,4847,0.789345248088706319400387201313
280,280_0,FAILED,Sobol,GenerationStep_0,1275,4918,1486,0.746191733408160473572934279218
281,281_0,FAILED,Sobol,GenerationStep_0,2980,1861,4626,0.263624010608252135057227860671
282,282_0,FAILED,Sobol,GenerationStep_0,4995,3492,67,0.866525516112707561156014435255
283,283_0,FAILED,Sobol,GenerationStep_0,751,435,3198,0.135455845087300963403009745889
284,284_0,FAILED,Sobol,GenerationStep_0,459,2616,4264,0.088545428434293721453585135350
285,285_0,FAILED,Sobol,GenerationStep_0,4036,653,2395,0.913497808754257900609729858843
286,286_0,FAILED,Sobol,GenerationStep_0,3312,4003,2915,0.466682466025557352029551339001
287,287_0,FAILED,Sobol,GenerationStep_0,2195,2040,1053,0.543195153979398326349325998308
288,288_0,FAILED,Sobol,GenerationStep_0,2305,2694,1877,0.804209672385361007407311717543
289,289_0,FAILED,Sobol,GenerationStep_0,3363,887,3766,0.197770475705899284601940735229
290,290_0,FAILED,Sobol,GenerationStep_0,3965,3768,927,0.683628214551787793951120875136
291,291_0,FAILED,Sobol,GenerationStep_0,368,1962,2807,0.326186331240646554263662437734
292,292_0,FAILED,Sobol,GenerationStep_0,700,4840,4811,0.404121818069182348054368958401
293,293_0,FAILED,Sobol,GenerationStep_0,4885,1627,1692,0.605752728230785519869527888659
294,294_0,FAILED,Sobol,GenerationStep_0,3071,3726,3619,0.026224834604747594701823487640
295,295_0,FAILED,Sobol,GenerationStep_0,1346,513,506,0.975815313994046307222163250117
296,296_0,FAILED,Sobol,GenerationStep_0,1778,4349,3395,0.560026269434392487411855654500
297,297_0,FAILED,Sobol,GenerationStep_0,2562,2386,255,0.451802115025091932665191052365
298,298_0,FAILED,Sobol,GenerationStep_0,4454,2963,4427,0.929841180068627037869077867072
299,299_0,FAILED,Sobol,GenerationStep_0,1208,1000,1298,0.074152821574453270381255265420
300,300_0,FAILED,Sobol,GenerationStep_0,251,3135,1163,0.151799186632130295171450029557
301,301_0,FAILED,Sobol,GenerationStep_0,4163,79,3035,0.852132879483327276837201225135
302,302_0,FAILED,Sobol,GenerationStep_0,3481,4561,2285,0.280455096293706462873274176673
303,303_0,FAILED,Sobol,GenerationStep_0,2108,1504,4144,0.731311352638155165450939421135
304,304_0,FAILED,Sobol,GenerationStep_0,2018,4433,135,0.060812286067381503273931997455
305,305_0,FAILED,Sobol,GenerationStep_0,3723,1376,3247,0.949065129271987828474266279954
306,306_0,FAILED,Sobol,GenerationStep_0,4253,3359,1437,0.432090421681106062745669760261
307,307_0,FAILED,Sobol,GenerationStep_0,8,302,4557,0.569952595957089247491467176587
308,308_0,FAILED,Sobol,GenerationStep_0,967,3063,2827,0.648070986838359397452791199612
309,309_0,FAILED,Sobol,GenerationStep_0,4545,1100,945,0.353910095272213232053815090694
310,310_0,FAILED,Sobol,GenerationStep_0,2804,4176,4371,0.777214648082945491758266598481
311,311_0,FAILED,Sobol,GenerationStep_0,1687,2213,2483,0.232600831728801110687143705036
312,312_0,FAILED,Sobol,GenerationStep_0,1412,3549,3969,0.307937872179131932881546163117
313,313_0,FAILED,Sobol,GenerationStep_0,2844,336,2109,0.695993259917013329385326869669
314,314_0,FAILED,Sobol,GenerationStep_0,4819,4936,2585,0.186868662762548765066128453327
315,315_0,FAILED,Sobol,GenerationStep_0,926,1723,715,0.824896852150000636783033769461
316,316_0,FAILED,Sobol,GenerationStep_0,596,3976,1827,0.903335801436193297497823095910
317,317_0,FAILED,Sobol,GenerationStep_0,3900,2169,4954,0.108489713983889679571603892327
318,318_0,FAILED,Sobol,GenerationStep_0,3135,2550,353,0.523975592992268479619610843656
319,319_0,FAILED,Sobol,GenerationStep_0,2370,743,3494,0.480015539611410357867526954578
320,320_0,FAILED,Sobol,GenerationStep_0,2402,3682,612,0.688207488898560426626715980092
321,321_0,FAILED,Sobol,GenerationStep_0,3187,488,3742,0.300148231120500708080101048836
322,322_0,FAILED,Sobol,GenerationStep_0,3830,4795,1566,0.817076786621659945097917443491
323,323_0,FAILED,Sobol,GenerationStep_0,584,1602,4707,0.179052348196227090193488606928
324,324_0,FAILED,Sobol,GenerationStep_0,875,3796,2677,0.100673444071877754568689056214
325,325_0,FAILED,Sobol,GenerationStep_0,4787,2009,818,0.895515661484003078207649650722
326,326_0,FAILED,Sobol,GenerationStep_0,2857,2722,3877,0.472225943207088827424655619325
327,327_0,FAILED,Sobol,GenerationStep_0,1483,935,2005,0.516189747549965938233640372346
328,328_0,FAILED,Sobol,GenerationStep_0,1679,4595,4113,0.941246972715388929842106335855
329,329_0,FAILED,Sobol,GenerationStep_0,2737,1558,2233,0.052990259470604365865664675539
330,330_0,FAILED,Sobol,GenerationStep_0,4591,3169,3085,0.562161112908180826686077580234
331,331_0,FAILED,Sobol,GenerationStep_0,994,132,1196,0.424302689594216630997181027851
332,332_0,FAILED,Sobol,GenerationStep_0,74,2912,1344,0.346122407839633494663900137311
333,333_0,FAILED,Sobol,GenerationStep_0,4260,969,4456,0.640279429365601338020042021526
334,334_0,FAILED,Sobol,GenerationStep_0,3696,4299,230,0.224778849786333723148601393405
335,335_0,FAILED,Sobol,GenerationStep_0,1971,2356,3348,0.769396417102497065521049535164
336,336_0,FAILED,Sobol,GenerationStep_0,2037,4209,2377,0.443983958468493089544182339523
337,337_0,FAILED,Sobol,GenerationStep_0,3469,2266,4248,0.552204242837615266736861485697
338,338_0,FAILED,Sobol,GenerationStep_0,4194,3096,1071,0.066361338525544849575865669067
339,339_0,FAILED,Sobol,GenerationStep_0,302,1153,2931,0.922053447981737606120589134662
340,340_0,FAILED,Sobol,GenerationStep_0,1220,3308,4688,0.844345192050747539447286271752
341,341_0,FAILED,Sobol,GenerationStep_0,4525,271,1546,0.144007629159372291249852082728
342,342_0,FAILED,Sobol,GenerationStep_0,2511,4382,3136,0.723489370695687861179123956390
343,343_0,FAILED,Sobol,GenerationStep_0,1746,1345,7,0.272636865313258036636057113355
344,344_0,FAILED,Sobol,GenerationStep_0,1393,2505,3524,0.189984704687446354087754230022
345,345_0,FAILED,Sobol,GenerationStep_0,3098,718,405,0.796420031326729782605866603262
346,346_0,FAILED,Sobol,GenerationStep_0,4878,3931,4904,0.318366265712305918089697343021
347,347_0,FAILED,Sobol,GenerationStep_0,634,2144,1794,0.675811899985466202345207875624
348,348_0,FAILED,Sobol,GenerationStep_0,342,4963,669,0.597936458318773622622188668174
349,349_0,FAILED,Sobol,GenerationStep_0,3919,1770,2557,0.396301678116992128764195513213
350,350_0,FAILED,Sobol,GenerationStep_0,3429,3576,2135,0.968025717589724776779291914863
351,351_0,FAILED,Sobol,GenerationStep_0,2312,383,4016,0.018438989162445067193640824144
352,352_0,FAILED,Sobol,GenerationStep_0,2266,4729,2977,0.255805775906611243541988187644
353,353_0,FAILED,Sobol,GenerationStep_0,3324,1692,1108,0.738369747744500593000793742249
354,354_0,FAILED,Sobol,GenerationStep_0,4005,3655,4201,0.127664283893350494203389189352
355,355_0,FAILED,Sobol,GenerationStep_0,407,617,2340,0.858737824958935358488076872163
356,356_0,FAILED,Sobol,GenerationStep_0,739,2740,279,0.905710072946175892560916054208
357,357_0,FAILED,Sobol,GenerationStep_0,4925,796,3416,0.080753941664192835370172929288
358,358_0,FAILED,Sobol,GenerationStep_0,3032,3853,1275,0.535373123661428640396309219796
359,359_0,FAILED,Sobol,GenerationStep_0,1307,1910,4407,0.458864305747766043630520016450
360,360_0,FAILED,Sobol,GenerationStep_0,1816,3230,1674,0.003574598356522619597985812590
361,361_0,FAILED,Sobol,GenerationStep_0,2601,36,4795,0.984841356605198225970809744467
362,362_0,FAILED,Sobol,GenerationStep_0,4415,4617,524,0.381925031451694652062656132330
363,363_0,FAILED,Sobol,GenerationStep_0,1169,1423,3634,0.614264353193622048010524849815
364,364_0,FAILED,Sobol,GenerationStep_0,211,4288,3829,0.661435223550628892397185154550
365,365_0,FAILED,Sobol,GenerationStep_0,4123,2500,1937,0.334694130817614510231550184471
366,366_0,FAILED,Sobol,GenerationStep_0,3520,2862,2745,0.781555610751267559876964696741
367,367_0,FAILED,Sobol,GenerationStep_0,2147,1075,867,0.206800313933379942277213103807
368,368_0,FAILED,Sobol,GenerationStep_0,1901,2990,4973,0.499846406005136689731926935565
369,369_0,FAILED,Sobol,GenerationStep_0,3606,1203,1843,0.486618579836469111743468829445
370,370_0,FAILED,Sobol,GenerationStep_0,4370,4064,3475,0.878684575798548750391603334720
371,371_0,FAILED,Sobol,GenerationStep_0,125,2277,337,0.115553824841883034935108298669
372,372_0,FAILED,Sobol,GenerationStep_0,1084,4517,2047,0.162221232741232956886534566365
373,373_0,FAILED,Sobol,GenerationStep_0,4662,1323,3909,0.831957137622125419973428961384
374,374_0,FAILED,Sobol,GenerationStep_0,2686,3403,777,0.283804859806131570820753040607
375,375_0,FAILED,Sobol,GenerationStep_0,1569,210,2645,0.702600095758400877699045850022
376,376_0,FAILED,Sobol,GenerationStep_0,1530,4030,1003,0.755019766716007123541487544571
377,377_0,FAILED,Sobol,GenerationStep_0,2962,2087,2882,0.241106740939989683258914965336
378,378_0,FAILED,Sobol,GenerationStep_0,4702,2643,2425,0.625415034838486483259600845486
379,379_0,FAILED,Sobol,GenerationStep_0,809,700,4316,0.362938043133914478577395357206
380,380_0,FAILED,Sobol,GenerationStep_0,479,3447,3224,0.409438265297561887479105280363
381,381_0,FAILED,Sobol,GenerationStep_0,3783,410,115,0.578976718432921866330786997423
382,382_0,FAILED,Sobol,GenerationStep_0,3253,4873,4580,0.038613579314574604517407152571
383,383_0,FAILED,Sobol,GenerationStep_0,2487,1836,1458,0.957574834099505056705936567596
384,384_0,FAILED,Sobol,GenerationStep_0,2465,2934,3154,0.118177336242329331095213262870
385,385_0,FAILED,Sobol,GenerationStep_0,3281,990,33,0.885815969537757319507420561422
386,386_0,FAILED,Sobol,GenerationStep_0,3766,4359,4649,0.497537544686254107340062091680
387,387_0,FAILED,Sobol,GenerationStep_0,489,2416,1541,0.514290143910236641211497499171
388,388_0,FAILED,Sobol,GenerationStep_0,784,4532,1078,0.717539124382473469943022337247
389,389_0,FAILED,Sobol,GenerationStep_0,4723,1495,2968,0.294228504167404036895305807775
390,390_0,FAILED,Sobol,GenerationStep_0,2947,3145,2351,0.838608333799056748780742509553
391,391_0,FAILED,Sobol,GenerationStep_0,1547,108,4230,0.165324911934416729497598907983
392,392_0,FAILED,Sobol,GenerationStep_0,1586,3778,2124,0.371414484221860741186560517235
393,393_0,FAILED,Sobol,GenerationStep_0,2676,1991,3993,0.638399358265195004946690460201
394,394_0,FAILED,Sobol,GenerationStep_0,4685,2665,699,0.242270822977274646881085118366
395,395_0,FAILED,Sobol,GenerationStep_0,1056,878,2561,0.759708621808607098557786230231
396,396_0,FAILED,Sobol,GenerationStep_0,139,3736,4901,0.962758979911077727997792408132
397,397_0,FAILED,Sobol,GenerationStep_0,4352,543,1762,0.039282340863347059434218522256
398,398_0,FAILED,Sobol,GenerationStep_0,3631,4810,3547,0.591480844297353147709372933605
399,399_0,FAILED,Sobol,GenerationStep_0,1880,1617,416,0.418394874178245668172593241252
400,400_0,FAILED,Sobol,GenerationStep_0,2122,4945,3897,0.873554932432621722426802080008
401,401_0,FAILED,Sobol,GenerationStep_0,3542,1752,2019,0.138209879174549132851979038605
402,402_0,FAILED,Sobol,GenerationStep_0,4110,3519,2676,0.744899022771045582480553548521
403,403_0,FAILED,Sobol,GenerationStep_0,229,326,785,0.259031406019721188727089611348
404,404_0,FAILED,Sobol,GenerationStep_0,1147,2559,1599,0.461609738298598692995966530361
405,405_0,FAILED,Sobol,GenerationStep_0,4444,772,4708,0.542382566480711147960391826928
406,406_0,FAILED,Sobol,GenerationStep_0,2585,3946,600,0.091794827664364128660956509975
407,407_0,FAILED,Sobol,GenerationStep_0,1827,2159,3720,0.920031859931349726977600766986
408,408_0,FAILED,Sobol,GenerationStep_0,1321,3329,201,0.619326577854808379974826948455
409,409_0,FAILED,Sobol,GenerationStep_0,3014,292,3333,0.382715743920393258736822872379
410,410_0,FAILED,Sobol,GenerationStep_0,4949,4442,1353,0.997223561319243168021841938753
411,411_0,FAILED,Sobol,GenerationStep_0,717,1405,4491,0.012653158157132565059255213669
412,412_0,FAILED,Sobol,GenerationStep_0,424,4146,3049,0.215398676171712571969507621361
413,413_0,FAILED,Sobol,GenerationStep_0,3994,2203,1188,0.794417983258049908990017229371
414,414_0,FAILED,Sobol,GenerationStep_0,3346,3072,4130,0.335980134005285813181274079398
415,415_0,FAILED,Sobol,GenerationStep_0,2237,1129,2260,0.666002127723302694839446758124
416,416_0,FAILED,Sobol,GenerationStep_0,2327,4224,748,0.934919623547233680227463992196
417,417_0,FAILED,Sobol,GenerationStep_0,3417,2437,2630,0.074955882820393893162247422879
418,418_0,FAILED,Sobol,GenerationStep_0,3943,2838,2056,0.556782585955969966384770941659
419,419_0,FAILED,Sobol,GenerationStep_0,314,1050,3944,0.445258537595253411911500052156
420,420_0,FAILED,Sobol,GenerationStep_0,646,3251,3440,0.273431395725440229416136617147
421,421_0,FAILED,Sobol,GenerationStep_0,4859,57,329,0.728547792298160468149603730126
422,422_0,FAILED,Sobol,GenerationStep_0,3124,4676,4989,0.153097613020893169588632076739
423,423_0,FAILED,Sobol,GenerationStep_0,1372,1483,1870,0.856715957819111695314973076165
424,424_0,FAILED,Sobol,GenerationStep_0,1722,2794,4600,0.682825145863462212858507882629
425,425_0,FAILED,Sobol,GenerationStep_0,2539,850,1472,0.321107880319654925838079861933
426,426_0,FAILED,Sobol,GenerationStep_0,4510,3868,3223,0.810753257257584514228199168429
427,427_0,FAILED,Sobol,GenerationStep_0,1232,1924,81,0.201014166626706708429495051860
428,428_0,FAILED,Sobol,GenerationStep_0,276,4711,2458,0.028988402387127281539802581278
429,429_0,FAILED,Sobol,GenerationStep_0,4215,1674,4318,0.982839022004697415724194797804
430,430_0,FAILED,Sobol,GenerationStep_0,3456,3597,990,0.399538732291012999020551887952
431,431_0,FAILED,Sobol,GenerationStep_0,2056,560,2861,0.604454294399637714896300622058
432,432_0,FAILED,Sobol,GenerationStep_0,1985,3502,1265,0.179724927688483138155106644263
433,433_0,FAILED,Sobol,GenerationStep_0,3678,465,4383,0.822257129374519002418253421638
434,434_0,FAILED,Sobol,GenerationStep_0,4286,4889,308,0.309116264062095413844843960760
435,435_0,FAILED,Sobol,GenerationStep_0,54,1852,3421,0.700700175817310810799654063885
436,436_0,FAILED,Sobol,GenerationStep_0,1009,4013,4198,0.529177874035388184914552311966
437,437_0,FAILED,Sobol,GenerationStep_0,4580,2069,2309,0.480698566351551559439059246870
438,438_0,FAILED,Sobol,GenerationStep_0,2762,2587,3000,0.900215955522283950429596188769
439,439_0,FAILED,Sobol,GenerationStep_0,1652,644,1119,0.101826102048251779241816450394
440,440_0,FAILED,Sobol,GenerationStep_0,1457,4454,2764,0.434730151898972683177646558761
441,441_0,FAILED,Sobol,GenerationStep_0,2877,1261,892,0.577096338473539804958534205070
442,442_0,FAILED,Sobol,GenerationStep_0,4774,3380,3790,0.056105362724699084364665679914
443,443_0,FAILED,Sobol,GenerationStep_0,894,187,1932,0.947886729946639361443772031635
444,444_0,FAILED,Sobol,GenerationStep_0,560,3012,532,0.776531613900419359630689086771
445,445_0,FAILED,Sobol,GenerationStep_0,3857,1225,3671,0.227398543243296447080581401679
446,446_0,FAILED,Sobol,GenerationStep_0,3171,4125,1648,0.654734606216382242216411668778
447,447_0,FAILED,Sobol,GenerationStep_0,2413,2338,4777,0.357029948628507565189238448511
448,448_0,FAILED,Sobol,GenerationStep_0,2348,4645,1739,0.569276272945199113273417879100
449,449_0,FAILED,Sobol,GenerationStep_0,3165,1433,4881,0.426913837332651036060582327991
450,450_0,FAILED,Sobol,GenerationStep_0,3884,3220,439,0.940100958928186458685161142057
451,451_0,FAILED,Sobol,GenerationStep_0,606,7,3568,0.048315721666067838746538853911
452,452_0,FAILED,Sobol,GenerationStep_0,901,2891,4050,0.219608946838974944393285682054
453,453_0,FAILED,Sobol,GenerationStep_0,4840,1084,2179,0.768745768458116818244718615460
454,454_0,FAILED,Sobol,GenerationStep_0,2830,4277,2504,0.349213678716495612430747996768
455,455_0,FAILED,Sobol,GenerationStep_0,1430,2471,644,0.646914466264192022926238223590
456,456_0,FAILED,Sobol,GenerationStep_0,1703,3644,2906,0.814465646325610581612863825285
457,457_0,FAILED,Sobol,GenerationStep_0,2793,588,1018,0.171937195601593706406617911853
458,458_0,FAILED,Sobol,GenerationStep_0,4567,4758,4292,0.692882019260711912167494119785
459,459_0,FAILED,Sobol,GenerationStep_0,938,1701,2411,0.301294237465318304192152254473
460,460_0,FAILED,Sobol,GenerationStep_0,22,3843,51,0.472876584409084144144941319610
461,461_0,FAILED,Sobol,GenerationStep_0,4235,1880,3170,0.521359643054939758677335248649
462,462_0,FAILED,Sobol,GenerationStep_0,3748,2769,1523,0.094038414615672083485264920455
463,463_0,FAILED,Sobol,GenerationStep_0,1997,806,4633,0.892424398049525890996847010683
464,464_0,FAILED,Sobol,GenerationStep_0,2083,2634,1250,0.313316397270746505032690265580
465,465_0,FAILED,Sobol,GenerationStep_0,3502,671,3109,0.675037413776572781110019150219
466,466_0,FAILED,Sobol,GenerationStep_0,4149,4060,2198,0.193196010070107865308486339018
467,467_0,FAILED,Sobol,GenerationStep_0,268,2097,4070,0.802931230660807293553204999625
468,468_0,FAILED,Sobol,GenerationStep_0,1185,4864,3315,0.975017040062230111452379333059
469,469_0,FAILED,Sobol,GenerationStep_0,4482,1807,185,0.021170171406678855302585517961
470,470_0,FAILED,Sobol,GenerationStep_0,2546,3477,4509,0.596666606967057977506385668676
471,471_0,FAILED,Sobol,GenerationStep_0,1788,420,1369,0.391747174818254995098953941124
472,472_0,FAILED,Sobol,GenerationStep_0,1360,4094,4731,0.067135817292053256988282328166
473,473_0,FAILED,Sobol,GenerationStep_0,3053,2287,1619,0.927103308980911977599248530169
474,474_0,FAILED,Sobol,GenerationStep_0,4911,2981,3697,0.437472766576800509152889162579
475,475_0,FAILED,Sobol,GenerationStep_0,678,1174,579,0.548992944897338741583325827378
476,476_0,FAILED,Sobol,GenerationStep_0,385,3433,1962,0.720758195893839048729034857388
477,477_0,FAILED,Sobol,GenerationStep_0,3956,220,3842,0.265645550283137688030166145836
478,478_0,FAILED,Sobol,GenerationStep_0,3386,4507,842,0.848899687907099687045331393165
479,479_0,FAILED,Sobol,GenerationStep_0,2276,1294,2731,0.145277473068702950298458631551
480,480_0,FAILED,Sobol,GenerationStep_0,2211,3199,4341,0.374924182726442789537202315842
481,481_0,FAILED,Sobol,GenerationStep_0,3301,142,2479,0.611538886701036288329191847879
482,482_0,FAILED,Sobol,GenerationStep_0,4060,4585,2837,0.004834923455491662268312946793
483,483_0,FAILED,Sobol,GenerationStep_0,431,1529,969,0.989401575655583287449701401783
484,484_0,FAILED,Sobol,GenerationStep_0,764,4328,1415,0.786595952940080334059302913374
485,485_0,FAILED,Sobol,GenerationStep_0,4977,2366,4545,0.207580515893921235814900683181
486,486_0,FAILED,Sobol,GenerationStep_0,3007,2903,139,0.658214391915220797812935416005
487,487_0,FAILED,Sobol,GenerationStep_0,1255,940,3278,0.328188647235184927097861873335
488,488_0,FAILED,Sobol,GenerationStep_0,1839,4786,391,0.130389742943551378839828203127
489,489_0,FAILED,Sobol,GenerationStep_0,2656,1573,3500,0.865738666241802290457485469233
490,490_0,FAILED,Sobol,GenerationStep_0,4392,3711,1807,0.251245564298611112619141749747
491,491_0,FAILED,Sobol,GenerationStep_0,1115,498,4930,0.737109430087916517315704822977
492,492_0,FAILED,Sobol,GenerationStep_0,158,2712,2612,0.534592929143272388436969322356
493,493_0,FAILED,Sobol,GenerationStep_0,4097,906,732,0.453823971001338200004227019235
494,494_0,FAILED,Sobol,GenerationStep_0,3573,3826,3962,0.912215549086220600649710377184
495,495_0,FAILED,Sobol,GenerationStep_0,2173,2019,2072,0.083974765857215971642801832786
496,496_0,FAILED,Sobol,GenerationStep_0,1945,3921,3609,0.630579222034197250934539624723
497,497_0,FAILED,Sobol,GenerationStep_0,3638,2114,472,0.363598218031041309217243906460
498,498_0,FAILED,Sobol,GenerationStep_0,4325,2534,4839,0.751922780087497133472140831145
499,499_0,FAILED,Sobol,GenerationStep_0,93,727,1708,0.234481230294145637227387624080
500,500_0,FAILED,Sobol,GenerationStep_0,1048,3566,910,0.031492703525908292971902113777
501,501_0,FAILED,Sobol,GenerationStep_0,4618,353,2780,0.954973212613817290517204128264
502,502_0,FAILED,Sobol,GenerationStep_0,2722,4992,1913,0.410578563333116486333551620191
503,503_0,FAILED,Sobol,GenerationStep_0,1613,1779,3774,0.583660782490205032324581679859
504,504_0,FAILED,Sobol,GenerationStep_0,1496,3125,2286,0.878024408343806905818951236142
505,505_0,FAILED,Sobol,GenerationStep_0,2916,1162,4178,0.110389645088557156182851315407
506,506_0,FAILED,Sobol,GenerationStep_0,4735,4199,1142,0.506471909208595749696257826145
507,507_0,FAILED,Sobol,GenerationStep_0,855,2236,3021,0.489715559022594226767921554710
508,508_0,FAILED,Sobol,GenerationStep_0,521,4411,4441,0.286406473849434406453440260520
509,509_0,FAILED,Sobol,GenerationStep_0,3818,1354,1320,0.709720964104682217055142245954
</pre>
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			<h1>&nbsp;Errors</h1>
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<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">Error computing Pareto frontier for ACCURACY and RUNTIME: `StandardizeY` transform requires non-empty data.

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			<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_Luxembourg_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>
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<pre id="pre_tab_worker_usage">1744909074.3259428,20,0,0
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			<h1>&nbsp;CPU/RAM-Usage (main)</h1>
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<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1744909074,743.20703125,24.4
1744909074,743.20703125,27.0
1744909074,743.20703125,28.6
1744909074,743.20703125,21.9
1744909074,743.20703125,36.8
1744909074,743.20703125,28.2
1744909074,743.20703125,28.9
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