OmniOpt2

Setting	Value
Max. nr. evaluations	974
Number random steps	20
Nr. of workers (parameter)	20
Main process memory (GB)	8
Worker memory (GB)	1
Nr. imported jobs	474
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
79	501	24	604
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_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0
experiment_constraints	None
run_dir	runs
seed	None
decimalrounding	4
enforce_sequential_optimization	False
verbose_tqdm	False
model	None
gridsearch	False
occ	False
show_sixel_scatter	False
show_sixel_general	False
show_sixel_trial_index_result	False
follow	False
send_anonymized_usage_stats	False
ui_url	None
root_venv_dir	/home/s4122485
exclude	None
main_process_gb	8
pareto_front_confidence	1
max_nr_of_zero_results	10
abbreviate_job_names	False
orchestrator_file	None
checkout_to_latest_tested_version	False
live_share	False
disable_tqdm	False
workdir	False
occ_type	euclid
result_names	['RESULT=min']
minkowski_p	2
signed_weighted_euclidean_weights
generation_strategy	None
generate_all_jobs_at_once	False
revert_to_random_when_seemingly_exhausted	True
load_data_from_existing_jobs	[]
n_estimators_randomforest	100
external_generator	None
username	None
max_failed_jobs	None
num_parallel_jobs	20
worker_timeout	30
slurm_use_srun	False
time
partition
reservation	None
force_local_execution	False
slurm_signal_delay_s	0
nodes_per_job	1
cpus_per_task	1
account	None
gpus	0
run_mode	local
verbose	False
verbose_break_run_search_table	False
debug	False
no_sleep	False
tests	False
show_worker_percentage_table_at_end	False
auto_exclude_defective_hosts	False
run_tests_that_fail_on_taurus	False
raise_in_eval	False
show_ram_every_n_seconds	False
Skipped tabs:
Job-Infos
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		<title>Exported &raquo;s4122485/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1&laquo; from OmniOpt2-Share</title>
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			input:checked + .slider:before {
				transform: translateX(24px);
			}
			
			.mode-text {
				position: absolute;
				top: 5px;
				left: 65px;
				font-size: 14px;
				color: black;
				transition: .4s;
				width: 65px;
				display: block;
				font-size: 0.7rem;
				text-align: center;
			}
			
			input:checked + .slider .mode-text {
				content: "Dark Mode";
				color: white;
			}
			
			#mainContent {
				height: fit-content;
				min-height: 100%;
			}
			
			li {
				text-align: left;
			}
			
			#share_path {
				margin-bottom: 20px;
				margin-top: 20px;
			}
			
			#sortForm {
				margin-bottom: 20px;
			}
			
			.share_folder_buttons {
				margin-top: 10px;
				margin-bottom: 10px;
			}
			
			.nav_tab_button {
				margin: 10px;
			}
			
			.header_table {
				margin: 10px;
			}
			
			.no_border {
				border: unset !important;
			}
			
			.gui_table {
				padding: 5px !important;
			}
			
			.gui_parameter_row {
			}
			
			.gui_parameter_row_cell {
				border: unset !important;
			}
			
			.gui_param_table {
				width: 95%;
				margin: unset !important;
			}
			
			table td, table tr,
			.parameterRow table {
				padding: 2px !important;
			}
			
			.parameterRow table {
				margin: 0px;
				border: unset;
			}
			
			.parameterRow > td {
				border: 0px !important;
			}
			
			.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
				border: 0px !important;
			}
			
			.green_text {
				color: green;
			}
			
			.remove_parameter {
				white-space: pre;
			}
			
			select {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				background-color: #fff;
				color: #222;
				padding: 5px 30px 5px 5px;
				border: 1px solid #555;
				border-radius: 5px;
				cursor: pointer;
				outline: none;
				transition: all 0.3s ease;
				background:
					url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
					no-repeat right 10px center,
				linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
				background-size: 12px, auto;
			}
			
			select:hover {
				border-color: #888;
			}
			
			select:focus {
				border-color: #4caf50;
				box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
			}
			
			select::-ms-expand {
				display: none;
			}
			
			input, textarea {
				border-radius: 5px;
			}
			
			#search {
				width: 200px;
				max-width: 70%;
				background-image: url(images/search.svg);
				background-repeat: no-repeat;
				background-size: auto 40px;
				height: 40px;
				line-height: 40px;
				padding-left: 40px;
				box-sizing: border-box;
			}
			
			input[type="checkbox"] {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				width: 25px;
				height: 25px;
				border: 2px solid #3498db;
				border-radius: 5px;
				background-color: #fff;
				position: relative;
				cursor: pointer;
				transition: all 0.3s ease;
				width: 25px !important;
			}
			
			input[type="checkbox"]:checked {
				background-color: #3498db;
				border-color: #2980b9;
			}
			
			input[type="checkbox"]:checked::before {
				content: '✔';
				position: absolute;
				left: 4px;
				top: 2px;
				color: #fff;
			}
			
			input[type="checkbox"]:hover {
				border-color: #2980b9;
				background-color: #3caffc;
			}
			
			.toc {
				margin-bottom: 20px;
			}
			
			.toc li {
				margin-bottom: 5px;
			}
			
			.toc a {
				text-decoration: none;
				color: #007bff;
			}
			
			.toc a:hover {
				text-decoration: underline;
			}
			
			.table-container {
				width: 100%;
				overflow-x: auto;
			}
			
			.section-header {
				background-color: #1d6f9a !important;
				color: white;
			}
			
			.warning {
				color: red;
			}
			
			.li_list a {
				text-decoration: none;
			}
			
			.gridjs-td {
				white-space: nowrap;
			}
			
			th, td {
				border: 1px solid gray !important;
			}
			
			.no_border {
				border: 0px !important;
			}
			
			.no_break {
			
			}
			
			img {
				user-select: none;
				pointer-events: none;
			}
			
			#config_table, #hidden_config_table {
				user-select: none;
			}
			
			.copy_clipboard_button {
				margin-bottom: 10px;
			}
			
			.badge_table {
				background-color: unset !important;
			}
			
			.make_markable {
				user-select: text;
			}
			
			.header-container {
				display: flex;
				flex-wrap: wrap;
				align-items: center;
				justify-content: space-between;
				gap: 1rem;
				padding: 10px;
				background: var(--header-bg, #fff);
				border-bottom: 1px solid #ccc;
			}
			
			.header-logo-group {
				display: flex;
				gap: 1rem;
				align-items: center;
				flex: 1 1 auto;
				min-width: 200px;
			}
			
			.logo-img {
				max-height: 45px;
				height: auto;
				width: auto;
				object-fit: contain;
				pointer-events: unset;
			}
			
			.header-badges {
				flex-direction: column;
				gap: 5px;
				align-items: flex-start;
				flex: 0 1 auto;
				margin-top: auto;
				margin-bottom: auto;
			}
			
			.badge-img {
				height: auto;
				max-width: 130px;
				margin-top: 3px;
			}
			
			.header-tabs {
				margin-top: 10px;
				display: flex;
				flex-wrap: wrap;
				gap: 10px;
				flex: 2 1 100%;
				justify-content: center;
			}
			
			.nav-tab {
				display: inline-block;
				text-decoration: none;
				padding: 8px 16px;
				border-radius: 20px;
				background: linear-gradient(to right, #4a90e2, #357ABD);
				color: white;
				font-weight: bold;
				white-space: nowrap;
				transition: background 0.2s ease-in-out, transform 0.2s;
				box-shadow: 0 2px 4px rgba(0,0,0,0.2);
			}
			
			.nav-tab:hover {
				background: linear-gradient(to right, #5aa0f2, #4a90e2);
				transform: translateY(-2px);
			}
			
			.current-tag {
				padding-left: 10px;
				font-size: 0.9rem;
				color: #666;
			}
			
			.header-theme-toggle {
				flex: 1 1 auto;
				align-items: center;
				margin-top: 20px;
				min-width: 120px;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 60px;
				height: 30px;
			}
			
			.switch input {
				display: none;
			}
			
			.slider {
				position: absolute;
				top: 0; left: 0; right: 0; bottom: 0;
				background-color: #ccc;
				border-radius: 34px;
				cursor: pointer;
			}
			
			.slider::before {
				content: "";
				position: absolute;
				height: 24px;
				width: 24px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #2196F3;
			}
			
			input:checked + .slider::before {
				transform: translateX(30px);
			}
			
			@media (max-width: 768px) {
				.header-logo-group,
				.header-badges,
				.header-theme-toggle {
					justify-content: center;
					flex: 1 1 100%;
					text-align: center;
					width: inherit;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.hide_on_mobile {
					display: none;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					white-space: pre;
					font-size: 2em;
				}
			}
			
			.header_button {
				white-space: pre;
				margin-top: 20px;
				margin: 5px;
			}
			
			.line_break_anywhere {
				line-break: anywhere;
			}
			
			.responsive-container {
				display: flex;
				flex-wrap: wrap;
				justify-content: space-between;
				gap: 20px;
			}
			
			.responsive-container .half {
				flex: 1 1 48%;
				box-sizing: border-box;
				min-width: 500px;
			}
			
			.config-section table {
				width: 100%;
				border-collapse: collapse;
			}
			
			@media (max-width: 768px) {
				.responsive-container .half {
					flex: 1 1 100%;
				}
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			.rotate {
				animation: spin 2s linear infinite;
				display: inline-block;
			}
			
			input::placeholder {
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			.gridjs-th-content {
				overflow: visible !important;
			}
			
			.error_text {
				color: red;
			}
			
			h1, h2, h3, h4, h5, h6 {
				margin-top: 1em;
				font-weight: bold;
				color: #333;
				border-left: 5px solid #ccc;
				padding-left: 0.5em;
			}
			
			.no_cursive {
				font-style: normal;	
			}
			
			.caveat {
				background-color: #fff8b3;
				border: 1px solid #f2d600;
				padding: 1em 1em 1em 70px;
				position: relative;
				font-family: sans-serif;
				color: #665500;
				margin: 1em 0;
				border-radius: 4px;
			}
			
			.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
				margin-top: 0;
				margin-bottom: 0.5em;
				font-weight: bold;
			}
			
			.caveat::before {
				content: "⚠️";
				font-size: 50px;
				line-height: 1;
				position: absolute;
				left: 10px;
				top: 50%;
				transform: translateY(-50%);
				pointer-events: none;
				user-select: none;
			}
			
			.caveat.warning::before { content: "⚠️"; }
			.caveat.stop::before { content: "🛑"; }
			.caveat.exclamation::before { content: "❗"; }
			.caveat.alarm::before { content: "🚨"; }
			.caveat.tip::before { content: "💡"; }
			
			.tutorial_icon {
				display: inline-block;
				font-size: 1.3em;
				line-height: 1;
				vertical-align: middle;
				transform: translateY(-10%);
				padding: 0.2em 0;
			}
			
			.highlight {
				background-color: yellow;
				font-weight: bold;
			}
			
			#searchResults li {
				opacity: 0;
				transform: translateY(8px);
				animation: fadeInUp 0.3s ease-out forwards;
				animation-delay: 0.05s;
				list-style: none;
				margin-bottom: 5px;
			}
			
			@keyframes fadeInUp {
				to {
					opacity: 1;
					transform: translateY(0);
				}
			}
			
			.search_headline {
				font-weight: bold;
				margin-top: 1em;
				margin-bottom: 0.3em;
				color: #444;
			}
			
			.search_share_path {
				color: black;
				display: block ruby;
				margin-top: 20px;
			}
			
			@media print {
				#scads_bar {
					display: none !important;
				}
			}
			

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 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			}
			
			: :-webkit-scrollbar-button: vertical: end{
				height: 17px;
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			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
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			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 17px;
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			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
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stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
			}
			
			.field-row{
				display: flex;
				align-items: center
			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
				margin-top: 6px
			}
			
			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
			menu[role=tablist] button{
				background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
				padding: 0 12px 3px
			}
			
			menu[role=tablist] button: hover{
				box-shadow: unset;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]{
				border-color: #919b9c;
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]: first-of-type: before{
				content: "";
				display: block;
				position: absolute;
				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
			}
			
			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
			}
			
			ul.tree-view{
				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
			}
			
			@keyframes sliding{
				0%{
					transform: translateX(-30px)
				}
			
				to{
					transform: translateX(100%)
				}
			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
				border-radius: 4px;
				padding: 1px 2px 1px 0;
				overflow: hidden;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress,progress: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				height: 14px
			}
			
			progress[value]: :-webkit-progress-bar{
				background-color: transparent
			}
			
			progress[value]: :-webkit-progress-value{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress[value]: :-moz-progress-bar{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-webkit-progress-bar{
				width: 100%;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-webkit-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]){
				position: relative
			}
			
			progress: not([value]): before{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before,progress: not([value]): before: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): after{
				box-sizing: border-box;
				content: "";
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			    [
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			        20,
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			    [
			        1745152014.5363395,
			        20,
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			    [
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			        20,
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			    [
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			        20,
			        2,
			        10
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			        20,
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			    [
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			        20,
			        1,
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			    ],
			    [
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			        20,
			        1,
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			    ],
			    [
			        1745165474.0482438,
			        20,
			        1,
			        5
			    ],
			    [
			        1745165475.9895236,
			        20,
			        2,
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			    ],
			    [
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			        20,
			        2,
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			    ],
			    [
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			        20,
			        1,
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			    ],
			    [
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			        20,
			        1,
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			    ],
			    [
			        1745180308.2482615,
			        20,
			        1,
			        5
			    ],
			    [
			        1745180308.9450734,
			        20,
			        1,
			        5
			    ],
			    [
			        1745180310.923678,
			        20,
			        2,
			        10
			    ],
			    [
			        1745180311.538352,
			        20,
			        2,
			        10
			    ],
			    [
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			        20,
			        1,
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			    ],
			    [
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			        20,
			        1,
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			    ],
			    [
			        1745194301.5331898,
			        20,
			        1,
			        5
			    ],
			    [
			        1745194302.0914986,
			        20,
			        1,
			        5
			    ],
			    [
			        1745194304.016621,
			        20,
			        2,
			        10
			    ],
			    [
			        1745194304.4884005,
			        20,
			        2,
			        10
			    ],
			    [
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			        20,
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			    ],
			    [
			        1745194314.312086,
			        20,
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			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1744909333,
			        647.83984375,
			        16.4
			    ],
			    [
			        1744909333,
			        647.84375,
			        60.8
			    ],
			    [
			        1744909333,
			        647.90234375,
			        58.3
			    ],
			    [
			        1744909333,
			        647.90234375,
			        50
			    ],
			    [
			        1744909333,
			        647.90234375,
			        68.2
			    ],
			    [
			        1744909333,
			        647.90234375,
			        47.7
			    ],
			    [
			        1744909333,
			        647.90234375,
			        19.6
			    ],
			    [
			        1744910111,
			        721.078125,
			        32.2
			    ],
			    [
			        1744910111,
			        721.078125,
			        66.7
			    ],
			    [
			        1744910111,
			        721.078125,
			        64.6
			    ],
			    [
			        1744910111,
			        721.078125,
			        59.4
			    ],
			    [
			        1744912882,
			        765.6953125,
			        42.8
			    ],
			    [
			        1744912882,
			        765.6953125,
			        92
			    ],
			    [
			        1744912882,
			        765.6953125,
			        76.4
			    ],
			    [
			        1744912882,
			        765.6953125,
			        74
			    ],
			    [
			        1744915685,
			        769.9375,
			        63.1
			    ],
			    [
			        1744915685,
			        769.9375,
			        46.2
			    ],
			    [
			        1744915685,
			        769.9375,
			        47.3
			    ],
			    [
			        1744915685,
			        769.9375,
			        66
			    ],
			    [
			        1745194321,
			        1390.9765625,
			        68.5
			    ],
			    [
			        1745194321,
			        1390.9765625,
			        60.6
			    ],
			    [
			        1745194321,
			        1390.9765625,
			        66.5
			    ],
			    [
			        1745194321,
			        1390.9765625,
			        18.2
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout, no_height = 0) {
				layout["width"] = get_graph_width();
				if (!no_height) {
					layout["height"] = get_graph_height();
				}
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true,
					ellipsis: false
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_node";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',
						jitter: 0.5,
						pointpos: 0
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: get_axis_title_data("Generation Method")
					},
					boxmode: 'group'
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
					let text = el.textContent.toLowerCase();
					let color = text.includes("manual") ? "green" :
						text.includes("sobol") ? "orange" :
						text.includes("saasbo") ? "pink" :
						text.includes("uniform") ? "lightblue" :
						text.includes("legacy_gpei") ? "sienna" :
						text.includes("bo_mixed") ? "aqua" :
						text.includes("randomforest") ? "darkseagreen" :
						text.includes("external_generator") ? "purple" :
						text.includes("botorch") ? "yellow" : "";
					if (color !== "") {
						el.style.backgroundColor = color;
					}
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" :
						el.textContent.includes("ABANDONED") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			function demo_mode(nr_sec = 3) {
				let i = 0;
				let tabs = $('menu[role="tablist"] > button');
			
				setInterval(() => {
					tabs.attr('aria-selected', 'false').removeClass('active');
			
					let tab = tabs.eq(i % tabs.length);
					tab.attr('aria-selected', 'true').addClass('active');
			
					tab.trigger('click');
			
					i++;
				}, nr_sec * 1000);
			}
			
			function resizePlotlyCharts() {
				const plotlyElements = document.querySelectorAll('.js-plotly-plot');
			
				if (plotlyElements.length) {
					const windowWidth = window.innerWidth;
					const windowHeight = window.innerHeight;
			
					const newWidth = windowWidth * 0.9;
					const newHeight = windowHeight * 0.9;
			
					plotlyElements.forEach(function(element, index) {
						const layout = {
							width: newWidth,
							height: newHeight,
							plot_bgcolor: 'rgba(0, 0, 0, 0)',
							paper_bgcolor: 'rgba(0, 0, 0, 0)',
						};
			
						Plotly.relayout(element, layout)
					});
				}
			
				make_text_in_parallel_plot_nicer();
				apply_theme_based_on_system_preferences();
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			
			window.addEventListener('resize', function() {
				resizePlotlyCharts();
			});
			
			"use strict";
			
			function get_row_by_index(idx) {
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
			
				var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
			
				if(trial_index_col_idx == -1) {
					error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
			
					return null;
				}
			
				for (var i = 0; i < tab_results_csv_json.length; i++) {
					var row = tab_results_csv_json[i];
					var trial_index = row[trial_index_col_idx];
			
					if (trial_index == idx) {
						return row;
					}
				}
			
				return null;
			}
			
			function load_pareto_graph_from_idxs () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				if(pareto_idxs === null) {
					var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
					$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
					return;	
				}
			
				var table = get_pareto_table_data_from_idx();
			
				var html_tables = createParetoTablesFromData(table);
			
				$("#pareto_from_idxs_table").html(html_tables);
			
				renderParetoFrontPlots(table);
			
				apply_theme_based_on_system_preferences();
			}
			
			function renderParetoFrontPlots(data) {
				try {
					let container = document.getElementById("pareto_front_idxs_plot_container");
					if (!container) {
						console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
						return;
					}
			
					container.innerHTML = "";
			
					if(data === undefined || data === null) {
						var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
						$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
						return;
					}
			
					Object.keys(data).forEach((key, idx) => {
						if (!key.startsWith("Pareto front for ")) return;
			
						let label = key.replace("Pareto front for ", "");
						let [xKey, yKey] = label.split("/");
			
						if (!xKey || !yKey) {
							console.warn("Could not extract two objectives from key:", key);
							return;
						}
			
						let entries = data[key];
						let x = [];
						let y = [];
						let hoverTexts = [];
			
						entries.forEach((entry) => {
							let results = entry.results || {};
							let values = entry.values || {};
			
							let xVal = (results[xKey] || [])[0];
							let yVal = (results[yKey] || [])[0];
			
							if (xVal === undefined || yVal === undefined) {
								console.warn("Missing values for", xKey, yKey, "in", entry);
								return;
							}
			
							x.push(xVal);
							y.push(yVal);
			
							let hoverInfo = [];
			
							if ("trial_index" in values) {
								hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
							}
			
							Object.keys(values)
								.filter(k => k !== "trial_index")
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
								});
			
							Object.keys(results)
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
								});
			
							hoverTexts.push(hoverInfo.join("<br>"));
						});
			
						let wrapper = document.createElement("div");
						wrapper.style.marginBottom = "30px";
			
						let titleEl = document.createElement("h3");
						titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
						wrapper.appendChild(titleEl);
			
						let divId = `pareto_plot_${idx}`;
						let plotDiv = document.createElement("div");
						plotDiv.id = divId;
						plotDiv.style.width = "100%";
						plotDiv.style.height = "400px";
			
						wrapper.appendChild(plotDiv);
						container.appendChild(wrapper);
			
						let trace = {
							x: x,
							y: y,
							text: hoverTexts,
							hoverinfo: "text",
							mode: "markers",
							type: "scatter",
							marker: {
								size: 8,
								color: 'rgb(31, 119, 180)',
								line: {
									width: 1,
									color: 'black'
								}
							},
							name: label
						};
			
						let layout = {
							xaxis: { title: { text: xKey } },
							yaxis: { title: { text: yKey } },
							margin: { t: 10, l: 60, r: 20, b: 50 },
							hovermode: "closest",
							showlegend: false
						};
			
						Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
					});
				} catch (e) {
					console.error("Error while rendering Pareto front plots:", e);
				}
			}
			
			function createParetoTablesFromData(data) {
				try {
					var container = document.createElement("div");
			
					var parsedData;
					try {
						parsedData = typeof data === "string" ? JSON.parse(data) : data;
					} catch (e) {
						console.error("JSON parsing failed:", e);
						return container;
					}
			
					for (var sectionTitle in parsedData) {
						if (!parsedData.hasOwnProperty(sectionTitle)) {
							continue;
						}
			
						var sectionData = parsedData[sectionTitle];
						var heading = document.createElement("h2");
						heading.textContent = sectionTitle;
						container.appendChild(heading);
			
						var table = document.createElement("table");
						table.style.borderCollapse = "collapse";
						table.style.marginBottom = "2em";
						table.style.width = "100%";
			
						var thead = document.createElement("thead");
						var headerRow = document.createElement("tr");
			
						var allValueKeys = new Set();
						var allResultKeys = new Set();
			
						sectionData.forEach(entry => {
							var values = entry.values || {};
							var results = entry.results || {};
			
							Object.keys(values).forEach(key => {
								allValueKeys.add(key);
							});
			
							Object.keys(results).forEach(key => {
								allResultKeys.add(key);
							});
						});
			
						var sortedValueKeys = Array.from(allValueKeys).sort();
						var sortedResultKeys = Array.from(allResultKeys).sort();
			
						if (sortedValueKeys.includes("trial_index")) {
							sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
							sortedValueKeys.unshift("trial_index");
						}
			
						var allColumns = [...sortedValueKeys, ...sortedResultKeys];
			
						allColumns.forEach(col => {
							var th = document.createElement("th");
							th.textContent = col;
							th.style.border = "1px solid black";
							th.style.padding = "4px";
							headerRow.appendChild(th);
						});
			
						thead.appendChild(headerRow);
						table.appendChild(thead);
			
						var tbody = document.createElement("tbody");
			
						sectionData.forEach(entry => {
							var tr = document.createElement("tr");
			
							allColumns.forEach(col => {
								var td = document.createElement("td");
								td.style.border = "1px solid black";
								td.style.padding = "4px";
			
								var value = null;
			
								if (col in entry.values) {
									value = entry.values[col];
								} else if (col in entry.results) {
									value = entry.results[col];
								}
			
								if (Array.isArray(value)) {
									td.textContent = value.join(", ");
								} else {
									td.textContent = value !== null && value !== undefined ? value : "";
								}
			
								tr.appendChild(td);
							});
			
							tbody.appendChild(tr);
						});
			
						table.appendChild(tbody);
						container.appendChild(table);
					}
			
					return container;
				} catch (err) {
					console.error("Unexpected error:", err);
					var errorDiv = document.createElement("div");
					errorDiv.textContent = "Error generating tables.";
					return errorDiv;
				}
			}
			
			function get_pareto_table_data_from_idx () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				var x_keys = Object.keys(pareto_idxs);
			
				var tables = {};
			
				for (var i = 0; i < x_keys.length; i++) {
					var x_key = x_keys[i];
					var y_keys = Object.keys(pareto_idxs[x_key]);
			
					for (var j = 0; j < y_keys.length; j++) {
						var y_key = y_keys[j];
			
						var indices = pareto_idxs[x_key][y_key];
			
						for (var k = 0; k < indices.length; k++) {
							var idx = indices[k];
							var row = get_row_by_index(idx);
			
							if(row === null) {
								error(`Error getting the row for index ${idx}`);
								return;
							}
			
							var row_dict = {
								"results": {},
								"values": {},
							};
			
							for (var l = 0; l < tab_results_headers_json.length; l++) {
								var header = tab_results_headers_json[l];
			
								if (!special_col_names.includes(header) || header == "trial_index") {
									var val = row[l];
			
									if (result_names.includes(header)) {
										if (!Object.keys(row_dict["results"]).includes(header)) {
											row_dict["results"][header] = [];
										}
			
										row_dict["results"][header].push(val);
									} else {
										if (!Object.keys(row_dict["values"]).includes(header)) {
											row_dict["values"][header] = [];
										}
										row_dict["values"][header].push(val);
									}
								}
								
							}
			
							var table_key = `Pareto front for ${x_key}/${y_key}`;
			
							if(!Object.keys(tables).includes(table_key)) {
								tables[table_key] = [];
							}
			
							tables[table_key].push(row_dict);
						}
			
					}
				}
			
				return tables;
			}
			
			function getMinMaxByResultName(resultName) {
				try {
					if (typeof resultName !== "string") {
						error("Parameter resultName must be a string");
						return;
					}
			
					if (!Array.isArray(result_names)) {
						error("Global variable result_names is not an array or undefined");
						return;
					}
					if (!Array.isArray(result_min_max)) {
						error("Global variable result_min_max is not an array or undefined");
						return;
					}
			
					if (result_names.length !== result_min_max.length) {
						error("Global arrays result_names and result_min_max must have the same length");
						return;
					}
			
					var index = result_names.indexOf(resultName);
					if (index === -1) {
						error("Result name '" + resultName + "' not found in result_names");
						return;
					}
			
					var minMaxValue = result_min_max[index];
			
					if (minMaxValue !== "min" && minMaxValue !== "max") {
						error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
						return;
					}
			
					return minMaxValue;
			
				} catch (e) {
					error("Unexpected error: " + e.message);
				}
			}
			

			$(document).ready(function() {
				colorize_table_entries();;
				plotWorkerUsage();;
				plotCPUAndRAMUsage();;
				createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names);;
				plotScatter2d();;
				plotScatter3d();
				plotJobStatusDistribution();;
				plotBoxplot();;
				plotViolin();;
				plotHistogram();;
				plotHeatmap();;
				plotResultPairs();;
				plotResultEvolution();;
				plotExitCodesPieChart();

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;Overview</h1>
			<h2>Experiment overview:         </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value </th></tr></thead><tbody><tr><td> Max. nr. evaluations</td><td>974   </td></tr><tr><td> Number random steps</td><td>20    </td></tr><tr><td> Nr. of workers (parameter)</td><td>20    </td></tr><tr><td> Main process memory (GB)</td><td>8     </td></tr><tr><td> Worker memory (GB)</td><td>1     </td></tr><tr><td> Nr. imported jobs</td><td>474   </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>79</td>
			<td>501</td>
			<td>24</td>
			<td>604</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types</h2>
			<table>
			<tr><th>name</th><th>min/max</th></tr>
			<tr>
			<td>ACCURACY</td>
			<td>max</td>
			</tr>
			<tr>
			<td>RUNTIME</td>
			<td>min</td>
			</tr>
			</table>
			<br>
			<h2>Git-Version</h2>
			<tt>Commit: 2223ae6553abdd3e288f4b391080b763a7a48477
			</tt>
			<h1>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,max_window_size,min_window_size,min_p_value
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,954.000000000000000000000000000000,2900,3772,2583,0.966246778267621952984711697354
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,94.000000000000000000000000000000,1544,431,478,0.350661487725842713203405764943
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,91.000000000000000000000000000000,1021,3439,4460,0.695608384421281478182663704501
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,93.000000000000000000000000000000,4673,2014,2346,0.111117303811293102744350846933
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.070000000000000006661338147751,708.000000000000000000000000000000,3888,2781,1215,0.230831102358084155889983435372
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,101.000000000000000000000000000000,556,1744,3172,0.583159306219033890528180563706
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,574.000000000000000000000000000000,2017,4986,1842,0.493785576084721844480895924789
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,95.000000000000000000000000000000,3678,788,3791,0.814775772367417827624080928217
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.070000000000000006661338147751,618.000000000000000000000000000000,3269,3294,1297,0.511594097165390837567144899367
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,93.000000000000000000000000000000,2426,2495,4340,0.177069000980351110019483940050
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,779.000000000000000000000000000000,145,4253,665,0.775402067320235088843105586420
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,98.000000000000000000000000000000,4299,287,3717,0.409782835627254093946447710550
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,93.000000000000000000000000000000,4769,4530,4853,0.310990593362506451136084706377
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,94.000000000000000000000000000000,925,957,1958,0.881459029929526183266830230423
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,98.000000000000000000000000000000,1644,2949,2971,0.039254845902416860004002785445
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.070000000000000006661338147751,633.000000000000000000000000000000,2802,1287,85,0.641061349586769968489363691333
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,92.000000000000000000000000000000,2585,2970,4174,0.449967642487026753261858402766
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.270000000000000017763568394003,3170.000000000000000000000000000000,1859,1545,1444,0.862527992531564091649443071219
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,1162.000000000000000000000000000000,711,4554,3550,0.214446927237883194772294359609
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,1274.000000000000000000000000000000,4983,1212,812,0.595670162790361779059367108857
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,650.000000000000000000000000000000,4202,4205,2183,0.749034496539179195373492348153
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,91.000000000000000000000000000000,241,7,4765,0.069307560110464697111787302219
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,679.000000000000000000000000000000,2327,3249,310,0.976871366092469495256978007092
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,93.000000000000000000000000000000,3368,2213,2884,0.328237612546421586579015183815
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,566.000000000000000000000000000000,3584,4722,390,0.030459227902255952419308115964
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,91.000000000000000000000000000000,2111,755,2808,0.661656128420960110148030253185
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,2101.000000000000000000000000000000,455,2514,2258,0.259149705519527207009389258019
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.059999999999999997779553950750,98.000000000000000000000000000000,3989,1714,4685,0.921683660991210462753997489926
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,1721.000000000000000000000000000000,4454,3731,3319,0.794103082926291947707397866907
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.070000000000000006661338147751,703.000000000000000000000000000000,1240,2069,1049,0.394955250205844654587394870759
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,2001.000000000000000000000000000000,5000,1660,1482,0.871551012911492284374048722384
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,2201.000000000000000000000000000000,5000,1856,1668,0.887906498600714133573319486459
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,1,1332,1356,0.850801958663645718772272630304
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,1,1134,1180,0.851326024753131460620636516978
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,5000,1952,2160,0.923694170247220003311383607070
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3363.000000000000000000000000000000,1,1526,1429,0.861670041406915943049682482524
36,36_0,RUNNING,BoTorch,GenerationStep_1,,,5000,1493,1470,0.865370507122261822807729458873
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,708,3242,3350,0.732045248397714121146861998568
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,112.000000000000000000000000000000,5000,1316,1883,0.890713152414313591442862616532
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,3447,2019,3549,0.000100000000000000004792173602
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,683.000000000000000000000000000000,5000,1748,905,0.925231475309708506493677759863
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,3288,2203,3760,0.998873929377623537284591748175
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,2169.000000000000000000000000000000,1,1824,1650,0.937575018525450443185320636985
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,1517.000000000000000000000000000000,1,1700,1460,0.907704730350879729350310753944
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,5000,1240,2353,0.897390413206730186423953909980
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,112.000000000000000000000000000000,1,1932,2207,0.972098004583632380182223187148
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,5000,1736,1784,0.831806273179179322951881658810
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,100.000000000000000000000000000000,3912,3030,3157,0.998999999999999999111821580300
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,5000,1809,2743,0.998999999999999999111821580300
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,995,784,1735,0.000100000000000000004792173602
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,1684,77,4539,0.998999999999999999111821580300
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,2707,427,4958,0.768297556400789227737391229311
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,653.000000000000000000000000000000,5000,1974,877,0.998999999999999999111821580300
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,1637,853,1012,0.072093119210362432980332414445
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,1739,1659,4193,0.000100000000000000004792173602
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,1,1330,2135,0.870889224202953227127466107049
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,2660.000000000000000000000000000000,1,859,778,0.998999999999999999111821580300
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,1827.000000000000000000000000000000,1,1264,1106,0.886386477610909384594606308383
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,2838.000000000000000000000000000000,3907,1535,1412,0.857479065068344925570897885336
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,100.000000000000000000000000000000,534,2062,3265,0.998999999999999999111821580300
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,4035.000000000000000000000000000000,2667,1502,1419,0.000100000000000000004792173602
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,2479.000000000000000000000000000000,2291,1442,1313,0.000100000000000000004792173602
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,1711.000000000000000000000000000000,4915,1881,1647,0.000100000000000000004792173602
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,5000,482,1993,0.998999999999999999111821580300
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,5000,852,892,0.000100000000000000004792173602
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,535.000000000000000000000000000000,1,5000,3061,0.998999999999999999111821580300
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,3668.000000000000000000000000000000,2677,1484,1401,0.998999999999999999111821580300
67,67_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,1918,0.000100000000000000004792173602
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,2641.000000000000000000000000000000,2956,1624,1481,0.000100000000000000004792173602
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,1,3247,4834,0.998999999999999999111821580300
70,70_0,FAILED,BoTorch,GenerationStep_1,,,4180,1,2980,0.976411779392562739765537571657
71,71_0,FAILED,BoTorch,GenerationStep_1,,,1,1,3501,0.998999999999999999111821580300
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,3614.000000000000000000000000000000,2493,1451,1367,0.000100000000000000004792173602
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,1584.000000000000000000000000000000,1755,1547,1264,0.000100000000000000004792173602
74,74_0,FAILED,BoTorch,GenerationStep_1,,,1,5000,4977,0.911254248121438847896058632614
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2283.000000000000000000000000000000,1351,5000,4605,0.375906795359057799288393653114
76,76_0,FAILED,BoTorch,GenerationStep_1,,,1,1,2985,0.998999999999999999111821580300
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,719.000000000000000000000000000000,4920,4916,2912,0.444001758813926228341983915016
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5186.000000000000000000000000000000,2753,1501,1441,0.340358652883835210989360575695
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2576.000000000000000000000000000000,3106,5000,4633,0.000100000000000000004792173602
80,80_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,2549,0.000100000000000000004792173602
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,715.000000000000000000000000000000,3815,5000,2962,0.998999999999999999111821580300
82,82_0,FAILED,BoTorch,GenerationStep_1,,,1,1,3977,0.998999999999999999111821580300
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,1773.000000000000000000000000000000,4122,1831,1596,0.000100000000000000004792173602
84,84_0,FAILED,BoTorch,GenerationStep_1,,,5000,3900,3872,0.000100000000000000004792173602
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1022.000000000000000000000000000000,5000,5000,3973,0.857091738707114414452803430322
86,86_0,FAILED,BoTorch,GenerationStep_1,,,330,1,3260,0.000100000000000000004792173602
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,338.000000000000000000000000000000,1,5000,1240,0.000100000000000000004792173602
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,544.000000000000000000000000000000,5000,5000,1829,0.000100000000000000004792173602
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,507.000000000000000000000000000000,1,5000,2900,0.998999999999999999111821580300
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,675.000000000000000000000000000000,3328,5000,1516,0.998999999999999999111821580300
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,752.000000000000000000000000000000,2071,5000,1303,0.998999999999999999111821580300
92,92_0,FAILED,BoTorch,GenerationStep_1,,,3249,1,1570,0.998999999999999999111821580300
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,662.000000000000000000000000000000,2552,5000,1355,0.998999999999999999111821580300
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,676.000000000000000000000000000000,1730,5000,1255,0.998999999999999999111821580300
95,95_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,556,0.998999999999999999111821580300
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,554.000000000000000000000000000000,5000,5000,614,0.998999999999999999111821580300
97,97_0,FAILED,BoTorch,GenerationStep_1,,,3035,1,1687,0.998999999999999999111821580300
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,477.000000000000000000000000000000,5000,5000,1489,0.998999999999999999111821580300
99,99_0,FAILED,BoTorch,GenerationStep_1,,,1988,1,1257,0.998999999999999999111821580300
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,293.000000000000000000000000000000,1,5000,1,0.998999999999999999111821580300
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,656.000000000000000000000000000000,2676,5000,1407,0.998999999999999999111821580300
102,102_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,4284,0.000100000000000000004792173602
103,103_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,0.000100000000000000004792173602
104,104_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,3115,0.000100000000000000004792173602
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1502.000000000000000000000000000000,5000,5000,4335,0.998999999999999999111821580300
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,556.000000000000000000000000000000,5000,5000,1339,0.998999999999999999111821580300
107,107_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,550,0.000100000000000000004792173602
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,313.000000000000000000000000000000,1,5000,128,0.000100000000000000004792173602
109,109_0,FAILED,BoTorch,GenerationStep_1,,,3199,1,1602,0.100287914886905082934021038454
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,814.000000000000000000000000000000,3099,3479,1505,0.998999999999999999111821580300
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,592.000000000000000000000000000000,3692,5000,1585,0.998999999999999999111821580300
112,112_0,FAILED,BoTorch,GenerationStep_1,,,3328,1,3991,0.000100000000000000004792173602
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,919.000000000000000000000000000000,5000,5000,3614,0.998999999999999999111821580300
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,713.000000000000000000000000000000,2898,5000,1595,0.000100000000000000004792173602
115,115_0,FAILED,BoTorch,GenerationStep_1,,,3010,1,1738,0.210026284258734624588171868709
116,116_0,FAILED,BoTorch,GenerationStep_1,,,3118,1,1524,0.998999999999999999111821580300
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,1251.000000000000000000000000000000,1,5000,4289,0.747093011489230240940173644049
118,118_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,4053,0.000100000000000000004792173602
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,1,228,4029,0.036025986765456409488539435415
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1447.000000000000000000000000000000,2747,1618,1345,0.998999999999999999111821580300
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,3026,1225,1394,0.842072586091590080670243878558
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,1,1211,1390,0.998999999999999999111821580300
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,930,1676,1908,0.881634643424942798795029830217
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1235.000000000000000000000000000000,2757,1645,1279,0.998999999999999999111821580300
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,103.000000000000000000000000000000,1,1210,1523,0.998999999999999999111821580300
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1252.000000000000000000000000000000,3146,1649,1205,0.998999999999999999111821580300
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,5000,1225,1368,0.587253240544906573994410337036
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,1007.000000000000000000000000000000,4296,1726,1267,0.998999999999999999111821580300
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,2236.000000000000000000000000000000,2754,1588,1410,0.998999999999999999111821580300
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,101.000000000000000000000000000000,5000,1245,1325,0.998999999999999999111821580300
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,102.000000000000000000000000000000,969,1204,1386,0.188658910253852868388335650707
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,948.000000000000000000000000000000,4794,1913,1380,0.998999999999999999111821580300
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,102.000000000000000000000000000000,5000,1121,1362,0.176735465490040599689791633864
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,4548,1246,1485,0.971536949247140846352976950584
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,1261,1728,1927,0.282031311195186651374910979939
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,1082.000000000000000000000000000000,2430,1708,1166,0.098990402391181356311911088142
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,2293,1580,1713,0.998999999999999999111821580300
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,1529,1202,1649,0.768625552500153408352900896716
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1333.000000000000000000000000000000,2861,1626,1309,0.998999999999999999111821580300
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,707.000000000000000000000000000000,4993,1230,594,0.000100000000000000004792173602
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,987.000000000000000000000000000000,4852,2017,1421,0.998999999999999999111821580300
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,102.000000000000000000000000000000,1,1026,1412,0.645614934767511194912970040605
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,102.000000000000000000000000000000,2017,1624,1908,0.053897674195409375763610171362
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,1427,1574,1842,0.998999999999999999111821580300
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,898.000000000000000000000000000000,4842,2125,1461,0.998999999999999999111821580300
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,2003,1167,1394,0.998999999999999999111821580300
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,103.000000000000000000000000000000,3117,1014,1317,0.974648951835172083768554784911
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,112.000000000000000000000000000000,2843,1219,1427,0.247803034709483421815789938591
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,883.000000000000000000000000000000,4569,1983,1353,0.276941712981364884793578085009
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,665.000000000000000000000000000000,4556,1513,485,0.422061959643461714897227921028
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,4535,1509,2347,0.566347511050765639595283573726
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,104.000000000000000000000000000000,4600,1514,4080,0.265061653381823636443925806816
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,524.000000000000000000000000000000,4550,1520,1,0.000100000000000000004792173602
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,4518,1519,3119,0.149687906932061159936964145345
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,100.000000000000000000000000000000,4440,1507,2770,0.998999999999999999111821580300
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,5000,1519,2622,0.038687426838529229145002830137
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,735.000000000000000000000000000000,4625,1508,753,0.998999999999999999111821580300
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,4911,1525,4384,0.724386518461889172826317917497
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,105.000000000000000000000000000000,4014,1520,2927,0.998999999999999999111821580300
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,5000,1538,3483,0.287879074488860020597513766916
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,593.000000000000000000000000000000,5000,1514,272,0.745348368143541439856392116781
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,100.000000000000000000000000000000,4390,1496,3682,0.420648707902864182894830946680
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,118.000000000000000000000000000000,4575,1506,4846,0.894823271232089378912633037544
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,528.000000000000000000000000000000,4058,1498,1,0.998999999999999999111821580300
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,4021,1509,4705,0.183291466860708907038457482486
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,4154,1509,2205,0.000100000000000000004792173602
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,112.000000000000000000000000000000,5000,1542,3918,0.000100000000000000004792173602
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,104.000000000000000000000000000000,3776,1516,4500,0.000100000000000000004792173602
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,5000,1513,3225,0.834952254428479201386892327719
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,4667,1515,5000,0.000100000000000000004792173602
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,5000,1507,2842,0.000100000000000000004792173602
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,4230,1496,4549,0.998999999999999999111821580300
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,90.000000000000000000000000000000,4956,1483,3798,0.998999999999999999111821580300
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,818.000000000000000000000000000000,4164,1516,674,0.061289039105174324129077234602
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,102.000000000000000000000000000000,4321,1474,2487,0.000100000000000000004792173602
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,5000,1605,3435,0.000100000000000000004792173602
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,100.000000000000000000000000000000,5000,1585,2768,0.000100000000000000004792173602
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,579.000000000000000000000000000000,4257,1497,377,0.998999999999999999111821580300
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,5000,1616,2582,0.000100000000000000004792173602
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,2004.000000000000000000000000000000,4286,1600,1420,0.998999999999999999111821580300
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,5000,927,1733,0.140815151923661507904483869424
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,5000,1022,1072,0.000100000000000000004792173602
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,1544.000000000000000000000000000000,4367,1619,1321,0.998999999999999999111821580300
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,120.000000000000000000000000000000,4155,3348,4631,0.835590270657197042858399527177
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,1,1645,4516,0.998999999999999999111821580300
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,4161,3195,4586,0.000100000000000000004792173602
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,100.000000000000000000000000000000,3122,1123,1960,0.779497863411123370624977724219
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,958.000000000000000000000000000000,4963,1311,646,0.998999999999999999111821580300
189,189_0,RUNNING,BoTorch,GenerationStep_1,,,4224,1640,1597,0.998999999999999999111821580300
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,101.000000000000000000000000000000,2916,944,1697,0.117087821297968977529713185959
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,497.000000000000000000000000000000,3847,1662,11,0.998999999999999999111821580300
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,5000,796,1957,0.998999999999999999111821580300
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,4809,3241,4473,0.998999999999999999111821580300
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,3416,697,1000,0.000100000000000000004792173602
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,3389.000000000000000000000000000000,4241,1626,1526,0.998999999999999999111821580300
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,2732,713,1996,0.998999999999999999111821580300
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,100.000000000000000000000000000000,937,1671,4957,0.000100000000000000004792173602
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,2369,1704,4453,0.998999999999999999111821580300
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,100.000000000000000000000000000000,4131,1131,2074,0.000100000000000000004792173602
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,2636.000000000000000000000000000000,1641,1571,1433,0.998999999999999999111821580300
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,3081,3436,4764,0.842140004038181233525506286242
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,4097,3274,4246,0.998999999999999999111821580300
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,105.000000000000000000000000000000,4900,632,1702,0.601946648285267560396505359677
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,2533,620,2160,0.854789089273638835742019637109
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,1,3534,4729,0.998999999999999999111821580300
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,3689,3118,4649,0.000100000000000000004792173602
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,3156,1005,1008,0.000100000000000000004792173602
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,5000,3414,4822,0.000100000000000000004792173602
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,100.000000000000000000000000000000,3946,689,2231,0.998999999999999999111821580300
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,1593.000000000000000000000000000000,5000,2062,1762,0.000100000000000000004792173602
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,4438,1496,1677,0.998999999999999999111821580300
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,569.000000000000000000000000000000,4986,1736,333,0.000100000000000000004792173602
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,667.000000000000000000000000000000,5000,1122,429,0.000100000000000000004792173602
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,1632.000000000000000000000000000000,5000,1649,1412,0.998999999999999999111821580300
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,392.000000000000000000000000000000,1,1763,367,0.000100000000000000004792173602
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,813.000000000000000000000000000000,5000,1543,976,0.000100000000000000004792173602
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,4389.000000000000000000000000000000,3994,1549,1478,0.998999999999999999111821580300
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,5000,1616,1758,0.000100000000000000004792173602
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,90.000000000000000000000000000000,5000,1471,1730,0.998999999999999999111821580300
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,1,1395,3410,0.998999999999999999111821580300
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,5000,3413,3501,0.000100000000000000004792173602
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,694.000000000000000000000000000000,5000,927,300,0.000100000000000000004792173602
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,4326,1496,1626,0.998999999999999999111821580300
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,1506.000000000000000000000000000000,2640,2149,1792,0.000100000000000000004792173602
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,1,1317,3572,0.998999999999999999111821580300
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,1,3769,4728,0.654344906459921715757843685424
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,1551,1247,3268,0.000100000000000000004792173602
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,90.000000000000000000000000000000,1,2924,4654,0.062545342784970286986734322454
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,93.000000000000000000000000000000,1,1297,2591,0.998999999999999999111821580300
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,5000,3031,4880,0.526265024806934378354128512001
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,101.000000000000000000000000000000,225,3910,4588,0.998999999999999999111821580300
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,651.000000000000000000000000000000,5000,1785,630,0.998999999999999999111821580300
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,720.000000000000000000000000000000,2804,1030,398,0.000100000000000000004792173602
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,5000,1150,3225,0.000100000000000000004792173602
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,5000,2879,4568,0.089426528291954174298972191082
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,5000,2721,4662,0.000100000000000000004792173602
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,926.000000000000000000000000000000,3544,2353,1628,0.000100000000000000004792173602
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,2873.000000000000000000000000000000,3623,2078,1938,0.998999999999999999111821580300
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,1936,2868,4888,0.000100000000000000004792173602
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,2096,1411,1602,0.998999999999999999111821580300
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,1865,1398,1647,0.998999999999999999111821580300
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,5000,155,4685,0.791547048606153436089982733392
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,90.000000000000000000000000000000,1,3081,4275,0.627319136097759355585878893180
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,104.000000000000000000000000000000,3468,1198,3422,0.680059257622281809751996206614
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,811.000000000000000000000000000000,4993,751,364,0.000100000000000000004792173602
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,2117,1434,1569,0.998999999999999999111821580300
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,104.000000000000000000000000000000,2203,1435,1538,0.998999999999999999111821580300
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,765.000000000000000000000000000000,4933,1062,219,0.000100000000000000004792173602
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,5000,3650,4608,0.924251688128676862632460142777
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,2198,170,3861,0.187806497660284510420325432278
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,105.000000000000000000000000000000,4105,3954,4741,0.693801171806012861864587648597
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,1768.000000000000000000000000000000,4305,1698,1479,0.000100000000000000004792173602
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,987.000000000000000000000000000000,4446,593,336,0.468960758069964400718276920088
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,1,1785,3463,0.092881188495230471158237151030
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,1070.000000000000000000000000000000,5000,645,408,0.998999999999999999111821580300
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,5000,2858,4086,0.287484534047454776128915909794
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,3311,1061,3398,0.998999999999999999111821580300
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,90.000000000000000000000000000000,1,244,4655,0.998999999999999999111821580300
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,3426,3747,4503,0.145671156316677069542109279610
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,5000,87,3884,0.272735410545352496836102318412
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,2248,3053,4405,0.000100000000000000004792173602
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,704.000000000000000000000000000000,4935,1295,420,0.000100000000000000004792173602
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,3430,1058,3553,0.000100000000000000004792173602
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,5000,939,3350,0.998999999999999999111821580300
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,90.000000000000000000000000000000,1,936,3519,0.492033087617143982672729407568
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,776.000000000000000000000000000000,1,585,287,0.000100000000000000004792173602
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,108.000000000000000000000000000000,3385,3815,4427,0.000100000000000000004792173602
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,3822,338,4594,0.998999999999999999111821580300
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,3717,3870,4695,0.000100000000000000004792173602
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,2393.000000000000000000000000000000,4876,569,481,0.000100000000000000004792173602
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,2134.000000000000000000000000000000,4887,472,384,0.998999999999999999111821580300
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,791.000000000000000000000000000000,4877,676,294,0.998999999999999999111821580300
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,102.000000000000000000000000000000,4862,394,635,0.998946967827465726053048911126
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,1129.000000000000000000000000000000,4816,627,410,0.000100000000000000004792173602
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,1,1698,2910,0.000100000000000000004792173602
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,1330,1703,3644,0.998999999999999999111821580300
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,800.000000000000000000000000000000,4910,719,196,0.998999999999999999111821580300
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,4809,375,377,0.000100000000000000004792173602
279,279_0,FAILED,BoTorch,GenerationStep_1,,,4980,578,563,0.000100000000000000004792173602
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,3150,265,488,0.000100000000000000004792173602
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,1,849,2162,0.066830941857062398092637067748
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,646.000000000000000000000000000000,4828,692,55,0.000100000000000000004792173602
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,5000,1913,3345,0.000100000000000000004792173602
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,100.000000000000000000000000000000,2400,1774,2289,0.000100000000000000004792173602
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,956,1359,3881,0.998999999999999999111821580300
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,1,587,1858,0.000100000000000000004792173602
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,101.000000000000000000000000000000,4280,263,375,0.998999999999999999111821580300
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,5000,2171,3410,0.998999999999999999111821580300
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,2115,1791,2490,0.775573780615536167992729588150
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,1080.000000000000000000000000000000,5000,422,241,0.998999999999999999111821580300
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,5000,2234,3205,0.000100000000000000004792173602
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,1027.000000000000000000000000000000,4939,637,363,0.998999999999999999111821580300
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,1,1918,2552,0.998999999999999999111821580300
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,1193.000000000000000000000000000000,4942,709,480,0.000100000000000000004792173602
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,1188,2199,3585,0.163641812907764500062413048909
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,5000,285,582,0.000100000000000000004792173602
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,108.000000000000000000000000000000,3220,151,451,0.000100000000000000004792173602
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,101.000000000000000000000000000000,4490,505,554,0.998999999999999999111821580300
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,1457.000000000000000000000000000000,4940,558,406,0.998999999999999999111821580300
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,772.000000000000000000000000000000,5000,535,149,0.998999999999999999111821580300
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,712.000000000000000000000000000000,5000,386,66,0.998999999999999999111821580300
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,5000,3286,4981,0.998999999999999999111821580300
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,3058,1906,3051,0.000100000000000000004792173602
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,100.000000000000000000000000000000,5000,381,3920,0.998999999999999999111821580300
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,673.000000000000000000000000000000,5000,499,74,0.998999999999999999111821580300
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,1350.000000000000000000000000000000,5000,312,181,0.998999999999999999111821580300
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,1042.000000000000000000000000000000,5000,252,64,0.998999999999999999111821580300
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,2317,2665,4440,0.998999999999999999111821580300
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,1,1979,2916,0.000100000000000000004792173602
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,614.000000000000000000000000000000,4988,872,110,0.608855496369265281053628768859
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,1037.000000000000000000000000000000,5000,769,444,0.998999999999999999111821580300
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,1,2318,2984,0.998999999999999999111821580300
313,313_0,FAILED,BoTorch,GenerationStep_1,,,492,1,361,0.000100000000000000004792173602
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,1,762,1531,0.000100000000000000004792173602
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,4984,1745,3991,0.000100000000000000004792173602
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1290.000000000000000000000000000000,44,122,1,0.926648747808159756189638756041
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,5000,1244,3717,0.000100000000000000004792173602
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,89.000000000000000000000000000000,1,1117,1811,0.998999999999999999111821580300
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,90.000000000000000000000000000000,5000,762,2632,0.000100000000000000004792173602
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,1,1395,4249,0.998999999999999999111821580300
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,1,2377,3111,0.998999999999999999111821580300
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,1546,76,133,0.998999999999999999111821580300
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,3776,108,667,0.678605393486451213824750539061
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,90.000000000000000000000000000000,1,2462,3206,0.998999999999999999111821580300
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,1,2425,2879,0.998999999999999999111821580300
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,2765,867,2615,0.000100000000000000004792173602
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,287,785,2525,0.000100000000000000004792173602
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,90.000000000000000000000000000000,2254,3415,5000,0.998999999999999999111821580300
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,1,621,2648,0.000100000000000000004792173602
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,5000,40,257,0.998999999999999999111821580300
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,3682,322,4322,0.659584316757033661815512459725
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,699.000000000000000000000000000000,4548,2356,1306,0.000100000000000000004792173602
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,630.000000000000000000000000000000,5000,2440,1067,0.000100000000000000004792173602
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,3850,358,4204,0.000100000000000000004792173602
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,5000,2014,3904,0.344287532718931643671567144338
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,4405,2387,3834,0.998999999999999999111821580300
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,721.000000000000000000000000000000,1158,2488,1268,0.000100000000000000004792173602
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,117.000000000000000000000000000000,4677,2458,4043,0.000100000000000000004792173602
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,90.000000000000000000000000000000,1,1892,3824,0.134578649777144343513413105029
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,3566,508,4312,0.998999999999999999111821580300
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,697.000000000000000000000000000000,5000,2313,1182,0.998999999999999999111821580300
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,641.000000000000000000000000000000,5000,4907,2645,0.998999999999999999111821580300
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,506.000000000000000000000000000000,1,2399,989,0.998999999999999999111821580300
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,607.000000000000000000000000000000,5000,2348,765,0.998999999999999999111821580300
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,100.000000000000000000000000000000,1,940,3790,0.465883350057929079834906360702
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,1,413,2216,0.030020411946407005165937675883
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,715.000000000000000000000000000000,5000,5000,2587,0.998999999999999999111821580300
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,378.000000000000000000000000000000,1,2339,686,0.955900569375918052195117979863
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,4637,2586,3699,0.998999999999999999111821580300
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,5000,614,623,0.998999999999999999111821580300
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,5000,573,719,0.000100000000000000004792173602
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,1,211,2400,0.000100000000000000004792173602
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,114.000000000000000000000000000000,5000,2600,3498,0.998999999999999999111821580300
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,5000,2654,3275,0.000100000000000000004792173602
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,445.000000000000000000000000000000,1,2576,1051,0.000100000000000000004792173602
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,1,3338,4036,0.851043126457286969177573610068
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,5000,2627,3019,0.000100000000000000004792173602
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,3500,634,4292,0.000100000000000000004792173602
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,104.000000000000000000000000000000,1,2673,3457,0.998999999999999999111821580300
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,5000,425,2463,0.001452316491924522754569659710
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,4841,1857,4371,0.000100000000000000004792173602
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,1,344,2584,0.998999999999999999111821580300
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,1,2609,3908,0.998999999999999999111821580300
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,1,496,4759,0.000100000000000000004792173602
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,5000,615,1437,0.000100000000000000004792173602
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,5000,537,4749,0.000100000000000000004792173602
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,1,3277,3606,0.998999999999999999111821580300
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,1,3453,3693,0.998999999999999999111821580300
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,4169,2613,4187,0.998999999999999999111821580300
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,1,581,1357,0.998999999999999999111821580300
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,101.000000000000000000000000000000,1,605,4612,0.000100000000000000004792173602
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,5000,681,4791,0.998999999999999999111821580300
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,5000,173,185,0.998999999999999999111821580300
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,3293,3488,3804,0.000100000000000000004792173602
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,3529,808,3062,0.998999999999999999111821580300
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,3954,2679,3906,0.000100000000000000004792173602
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,4249,265,2608,0.998999999999999999111821580300
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,1,2241,3984,0.000100000000000000004792173602
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,90.000000000000000000000000000000,1,386,2677,0.998999999999999999111821580300
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,5000,3179,3585,0.998999999999999999111821580300
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,104.000000000000000000000000000000,3560,3285,3726,0.694001617859434372093119236524
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,5000,248,2194,0.998999999999999999111821580300
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,5000,618,4896,0.000100000000000000004792173602
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,4845,109,2222,0.998999999999999999111821580300
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,1,3148,3561,0.000100000000000000004792173602
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,5000,3057,3446,0.000100000000000000004792173602
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,5000,710,4642,0.832720167869223759637975490477
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,1,456,1399,0.998999999999999999111821580300
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,101.000000000000000000000000000000,1,2638,4066,0.998999999999999999111821580300
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,1,12,3638,0.469798683963824348364113347998
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,2994,189,3476,0.814039296446794402584146155277
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,746.000000000000000000000000000000,5000,443,1,0.000100000000000000004792173602
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,1532,167,5000,0.211565713912654357331533105935
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,5000,3555,4066,0.000100000000000000004792173602
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,5000,887,4448,0.000100000000000000004792173602
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,1,1286,5000,0.998999999999999999111821580300
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,857.000000000000000000000000000000,5000,651,319,0.000100000000000000004792173602
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,102.000000000000000000000000000000,3219,326,3344,0.908685261738280569687731258455
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,4712,561,3345,0.000100000000000000004792173602
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,90.000000000000000000000000000000,1,1248,4811,0.123458905532567483898098714690
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,1,4070,5000,0.998999999999999999111821580300
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,5000,427,1113,0.000100000000000000004792173602
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,2869,473,3171,0.995469226009493834972374770587
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,1,82,2773,0.000100000000000000004792173602
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,2888,185,3288,0.998999999999999999111821580300
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,5000,37,2901,0.000100000000000000004792173602
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,4372,1191,4613,0.292710550320910589672251944648
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,5000,2975,3876,0.998999999999999999111821580300
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,1,893,4191,0.000100000000000000004792173602
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,99.000000000000000000000000000000,1,1164,4704,0.000100000000000000004792173602
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,3964,120,3161,0.836884213523938935708201825037
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,5000,986,4076,0.000100000000000000004792173602
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,5000,1036,4326,0.000100000000000000004792173602
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,763.000000000000000000000000000000,5000,566,223,0.000100000000000000004792173602
415,415_0,FAILED,BoTorch,GenerationStep_1,,,1,1,3299,0.000100000000000000004792173602
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,100.000000000000000000000000000000,5000,269,3093,0.998999999999999999111821580300
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,231,2984,3835,0.508249163964074046617724889074
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,97.000000000000000000000000000000,455,1001,4597,0.068966764888044179704351677174
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,1,4264,4764,0.998999999999999999111821580300
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,3382,3795,3808,0.000100000000000000004792173602
421,421_0,FAILED,BoTorch,GenerationStep_1,,,1,1,875,0.000100000000000000004792173602
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,513.000000000000000000000000000000,5000,1991,1,0.998999999999999999111821580300
423,423_0,FAILED,BoTorch,GenerationStep_1,,,1,3943,3862,0.351998849039268590921381019143
424,424_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1068,0.998999999999999999111821580300
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,1112.000000000000000000000000000000,4865,4115,3156,0.000100000000000000004792173602
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,5000,995,4949,0.998999999999999999111821580300
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,2125,3982,4145,0.000100000000000000004792173602
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,2848.000000000000000000000000000000,1,4151,3904,0.998999999999999999111821580300
429,429_0,FAILED,BoTorch,GenerationStep_1,,,3534,1,1928,0.581284912093626093820830647019
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,744.000000000000000000000000000000,5000,2837,1603,0.998999999999999999111821580300
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,748.000000000000000000000000000000,5000,663,233,0.000100000000000000004792173602
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,2863.000000000000000000000000000000,32,4301,3982,0.000100000000000000004792173602
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,546.000000000000000000000000000000,1,2891,1784,0.998999999999999999111821580300
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,100.000000000000000000000000000000,5000,301,331,0.000100000000000000004792173602
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,512.000000000000000000000000000000,5000,2301,1,0.000100000000000000004792173602
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,316.000000000000000000000000000000,1,2388,1,0.000100000000000000004792173602
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,1,133,1028,0.000100000000000000004792173602
438,438_0,FAILED,BoTorch,GenerationStep_1,,,4389,1,1636,0.000100000000000000004792173602
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,916.000000000000000000000000000000,5000,4248,3111,0.998999999999999999111821580300
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,886.000000000000000000000000000000,5000,4411,2952,0.998999999999999999111821580300
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,2251.000000000000000000000000000000,3474,4013,3653,0.998999999999999999111821580300
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,1371.000000000000000000000000000000,5000,4141,3442,0.998999999999999999111821580300
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,766.000000000000000000000000000000,5000,4521,2722,0.000100000000000000004792173602
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,735.000000000000000000000000000000,1745,3042,1709,0.998999999999999999111821580300
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,5000,64,1001,0.000100000000000000004792173602
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,669.000000000000000000000000000000,1,4175,3006,0.998999999999999999111821580300
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,904.000000000000000000000000000000,1,4171,3264,0.000100000000000000004792173602
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,549.000000000000000000000000000000,1,4383,2759,0.940791981279865074938584257325
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,906.000000000000000000000000000000,5000,2843,1935,0.998999999999999999111821580300
450,450_0,FAILED,BoTorch,GenerationStep_1,,,1,1,756,0.000100000000000000004792173602
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,4796,37,1920,0.003611770183395928909830807640
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,90.000000000000000000000000000000,1,2005,4161,0.998999999999999999111821580300
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,5000,830,1218,0.000100000000000000004792173602
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,598.000000000000000000000000000000,5000,2208,367,0.998999999999999999111821580300
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,92.000000000000000000000000000000,243,238,1454,0.539633312358163030886260003172
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,560.000000000000000000000000000000,5000,2386,384,0.795787928703482361214582851971
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,523.000000000000000000000000000000,5000,2073,256,0.000100000000000000004792173602
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,1802.000000000000000000000000000000,5000,2973,2636,0.998999999999999999111821580300
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,93.000000000000000000000000000000,1,68,1391,0.000100000000000000004792173602
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,621.000000000000000000000000000000,5000,2095,435,0.000100000000000000004792173602
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,112.000000000000000000000000000000,4301,2434,4699,0.998999999999999999111821580300
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,587.000000000000000000000000000000,4865,4256,1420,0.000100000000000000004792173602
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,97.000000000000000000000000000000,1,613,4038,0.000100000000000000004792173602
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,98.000000000000000000000000000000,3973,2187,4794,0.998999999999999999111821580300
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,90.000000000000000000000000000000,1,2226,4534,0.000100000000000000004792173602
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,371.000000000000000000000000000000,1,4241,1544,0.000100000000000000004792173602
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,508.000000000000000000000000000000,5000,4271,1249,0.000100000000000000004792173602
468,468_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1757,0.998999999999999999111821580300
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,111.000000000000000000000000000000,5000,2080,4662,0.000100000000000000004792173602
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,111.000000000000000000000000000000,3947,2394,4972,0.998999999999999999111821580300
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,613.000000000000000000000000000000,5000,4411,1104,0.000100000000000000004792173602
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,586.000000000000000000000000000000,5000,2597,250,0.000100000000000000004792173602
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,107.000000000000000000000000000000,5000,2239,4339,0.000100000000000000004792173602
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,427.000000000000000000000000000000,1,4328,1755,0.000100000000000000004792173602
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,591.000000000000000000000000000000,5000,4519,1257,0.000100000000000000004792173602
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,102.000000000000000000000000000000,1,233,1773,0.998999999999999999111821580300
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,564.000000000000000000000000000000,5000,4663,1373,0.000100000000000000004792173602
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,3789,91,1679,0.998999999999999999111821580300
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,575.000000000000000000000000000000,5000,2762,511,0.000100000000000000004792173602
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,96.000000000000000000000000000000,5000,4457,4519,0.998999999999999999111821580300
481,481_0,RUNNING,BoTorch,GenerationStep_1,,,5000,4588,4523,0.000100000000000000004792173602
482,482_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,95.000000000000000000000000000000,5000,2638,2805,0.000100000000000000004792173602
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,925.000000000000000000000000000000,5000,3278,2244,0.998999999999999999111821580300
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,496.000000000000000000000000000000,5000,2846,93,0.000100000000000000004792173602
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,788.000000000000000000000000000000,5000,3423,2058,0.000100000000000000004792173602
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,94.000000000000000000000000000000,5000,1143,2850,0.998999999999999999111821580300
487,487_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,875.000000000000000000000000000000,5000,785,324,0.998999999999999999111821580300
488,488_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,967.000000000000000000000000000000,5000,3356,2429,0.000100000000000000004792173602
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,609.000000000000000000000000000000,898,3057,930,0.000100000000000000004792173602
490,490_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1618.000000000000000000000000000000,5000,3354,2882,0.000100000000000000004792173602
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1392.000000000000000000000000000000,5000,3496,2960,0.998999999999999999111821580300
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,760.000000000000000000000000000000,1,3239,2340,0.998999999999999999111821580300
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,2227.000000000000000000000000000000,5000,3261,2979,0.000100000000000000004792173602
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,727.000000000000000000000000000000,5000,3687,2000,0.000100000000000000004792173602
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,635.000000000000000000000000000000,870,3354,825,0.000100000000000000004792173602
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,512.000000000000000000000000000000,5000,2981,1,0.000100000000000000004792173602
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,470.000000000000000000000000000000,4761,3988,1,0.000100000000000000004792173602
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.190000000000000002220446049250,674.000000000000000000000000000000,5000,548,1,0.998999999999999999111821580300
499,499_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,628.000000000000000000000000000000,1051,3176,831,0.000100000000000000004792173602
500,500_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,483.000000000000000000000000000000,1,3825,1880,0.000100000000000000004792173602
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,675.000000000000000000000000000000,597,3617,1012,0.000100000000000000004792173602
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,91.000000000000000000000000000000,1,3776,4076,0.000100000000000000004792173602
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,951.000000000000000000000000000000,5000,3113,2268,0.000100000000000000004792173602
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,477.000000000000000000000000000000,4293,3687,1,0.000100000000000000004792173602
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,602.000000000000000000000000000000,1,3457,2302,0.000100000000000000004792173602
506,506_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,4170,0.998999999999999999111821580300
507,507_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,602.000000000000000000000000000000,832,3869,164,0.000100000000000000004792173602
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,604.000000000000000000000000000000,5000,3128,706,0.000100000000000000004792173602
509,509_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,512.000000000000000000000000000000,4198,3239,1,0.000100000000000000004792173602
510,510_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,732.000000000000000000000000000000,877,2756,110,0.918039473938941918973455358355
511,511_0,RUNNING,Sobol,SOBOL,,,4738,1770,4629,0.030114826886821537132998827246
512,512_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,810.000000000000000000000000000000,2868,4710,2284,0.586439561577141277304292543704
513,513_0,RUNNING,Sobol,SOBOL,,,1495,754,3077,0.478909365841187539825085650591
514,514_0,FAILED,Sobol,SOBOL,,,1902,4369,4295,0.271407236331049350752664395259
515,515_0,FAILED,Sobol,SOBOL,,,3735,160,988,0.661337959021609300691579846898
516,516_0,FAILED,Sobol,SOBOL,,,4364,3196,3332,0.220606142696551960069584197299
517,517_0,FAILED,Sobol,SOBOL,,,25,2269,1328,0.829057668169215333797694711393
518,518_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,1426.000000000000000000000000000000,349,4687,3687,0.737160877434536843111345660873
519,519_0,FAILED,Sobol,SOBOL,,,4054,1104,1677,0.312566029970906655854889777402
520,520_0,FAILED,Sobol,SOBOL,,,3435,2891,4020,0.756618757542502184954003041639
521,521_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,1037.000000000000000000000000000000,2218,1337,716,0.175941970856580864879248338184
522,522_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,748.000000000000000000000000000000,1805,3698,1929,0.070862771107442684703769941734
523,523_0,FAILED,Sobol,SOBOL,,,2544,2086,2728,0.994427019120007749108935968252
524,524_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,574.000000000000000000000000000000,4423,3775,385,0.433801955322641874523981186940
525,525_0,FAILED,Sobol,SOBOL,,,1177,446,4900,0.514532900553103522689468718454
526,526_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,796.000000000000000000000000000000,944,4059,1811,0.203962361373938610986655817214
527,527_0,FAILED,Sobol,SOBOL,,,4651,474,3551,0.846068232549726961799763103045
528,528_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,696.000000000000000000000000000000,2779,3512,896,0.285856191348005050922864711538
529,529_0,FAILED,Sobol,SOBOL,,,1564,1960,3842,0.647010009741689984252843714785
530,530_0,RUNNING,Sobol,SOBOL,,,2460,3076,2556,0.604790447391942098676054229145
531,531_0,RUNNING,Sobol,SOBOL,,,3197,1465,2105,0.460679441109113407826214370289
532,532_0,RUNNING,Sobol,SOBOL,,,3828,4404,4759,0.905297611320298178938514865877
533,533_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,992.000000000000000000000000000000,580,1074,524,0.043223415815178307941568647266
534,534_0,RUNNING,Sobol,SOBOL,,,260,3383,4484,0.388747085251007207240547813853
535,535_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,723.000000000000000000000000000000,4124,2396,252,0.559710696497093929124844180478
536,536_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,945.000000000000000000000000000000,3502,4085,2910,0.119575759445689627780140540381
537,537_0,RUNNING,Sobol,SOBOL,,,2131,131,2453,0.946078923473879673800013279106
538,538_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,530.000000000000000000000000000000,1269,4992,1171,0.801429755543824229313543128228
539,539_0,RUNNING,Sobol,SOBOL,,,3099,784,4114,0.131495791123528021904220963734
540,540_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,769.000000000000000000000000000000,4980,2571,1456,0.688204017025977332622233006987
541,541_0,RUNNING,Sobol,SOBOL,,,639,1643,3202,0.361645741827972211357433707235
542,542_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,1534.000000000000000000000000000000,746,4824,3935,0.049416080142743887271272740236
543,543_0,RUNNING,Sobol,SOBOL,,,4853,654,628,0.875401492334157205199574036669
544,544_0,RUNNING,Sobol,SOBOL,,,2972,2715,3595,0.443572794608492415591172175482
545,545_0,FAILED,Sobol,SOBOL,,,1376,1826,1591,0.614018654017802312239382445114
546,546_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,738.000000000000000000000000000000,2101,3209,451,0.633742686836048951803945783467
547,547_0,FAILED,Sobol,SOBOL,,,3551,2262,4969,0.306727627818845216545184939605
548,548_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,791.000000000000000000000000000000,4172,4224,2002,0.871711847194563627105878822476
549,549_0,FAILED,Sobol,SOBOL,,,231,309,2795,0.201321098955068722435868266984
550,550_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,1281.000000000000000000000000000000,531,2893,2194,0.355283272045198827981948852539
551,551_0,RUNNING,Sobol,SOBOL,,,3857,1321,2994,0.717930330556910467620923554932
552,552_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,529.000000000000000000000000000000,3226,4534,23,0.148405958661250753083393760789
553,553_0,RUNNING,Sobol,SOBOL,,,2412,1242,4538,0.792005069955065810205496745766
554,554_0,RUNNING,Sobol,SOBOL,,,1691,3881,3403,0.959024497193004976658414761914
555,555_0,RUNNING,Sobol,SOBOL,,,2672,335,1393,0.098382573788333690933960440361
556,556_0,RUNNING,Sobol,SOBOL,,,4544,3646,4363,0.533779627175629101110132523900
557,557_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,760.000000000000000000000000000000,1071,2133,1059,0.391100892993249016349466273823
558,558_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,1175.000000000000000000000000000000,1148,3519,2818,0.826777923320885732572094184434
559,559_0,RUNNING,Sobol,SOBOL,,,4472,1946,2367,0.246619841097015873865316848423
560,560_0,FAILED,Sobol,SOBOL,,,2593,3910,4399,0.682334654552489539014459296595
561,561_0,FAILED,Sobol,SOBOL,,,1775,619,164,0.258258511550910785370405164940
562,562_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,821.000000000000000000000000000000,2325,4504,1528,0.488262846411857742712214758285
563,563_0,FAILED,Sobol,SOBOL,,,3308,960,3269,0.569451528086792668759130719991
564,564_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,730.000000000000000000000000000000,3927,3020,1237,0.000580240355990827082026395356
565,565_0,FAILED,Sobol,SOBOL,,,457,1506,4183,0.924602224813029116567975052021
566,566_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,914.000000000000000000000000000000,152,4196,809,0.517012934865429985009654956229
567,567_0,RUNNING,Sobol,SOBOL,,,4257,25,3751,0.407988546386174877333985477890
568,568_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,1023.000000000000000000000000000000,3628,3336,1721,0.973596318543236693976439255493
569,569_0,RUNNING,Sobol,SOBOL,,,2029,2447,3467,0.084177490841690461031987524620
570,570_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4388,1,4172,0.998999999999999999111821580300
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,594,3640,0.998999999999999999111821580300
572,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,4224,0.998999999999999999111821580300
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3365,1,2453,0.998999999999999999111821580300
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2840,3085,0.998999999999999999111821580300
575,575_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3677,5000,0.000100000000000000004792173602
576,576_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4738,5000,0.998999999999999999111821580300
577,577_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,4163,0.998999999999999999111821580300
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2033,5000,0.998999999999999999111821580300
579,579_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,549,3590,0.998999999999999999111821580300
580,580_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1407,2841,3625,0.000100000000000000004792173602
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,416.000000000000000000000000000000,1,4764,885,0.000100000000000000004792173602
582,582_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4716,5000,0.000100000000000000004792173602
583,80_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,2549,0.000100000000000000004792173602
584,584_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2029,5000,0.998999999999999999111821580300
585,585_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3832,5000,0.998999999999999999111821580300
586,586_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2864,3200,0.000100000000000000004792173602
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.059999999999999997779553950750,515.000000000000000000000000000000,5000,4270,258,0.998999999999999999111821580300
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,591.000000000000000000000000000000,5000,3856,1288,0.998999999999999999111821580300
589,589_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,319,241,0.000100000000000000004792173602
590,590_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2311,2644,0.000100000000000000004792173602
591,591_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,577,3551,0.000100000000000000004792173602
592,592_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2048,5000,0.000100000000000000004792173602
593,593_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4721,5000,0.998999999999999999111821580300
594,594_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,26,4236,0.998999999999999999111821580300
595,595_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3881,577,3637,0.000100000000000000004792173602
596,596_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4102,4405,0.000100000000000000004792173602
597,597_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,518,3574,0.998999999999999999111821580300
598,598_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,4260,0.998999999999999999111821580300
599,599_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4723,5000,0.998999999999999999111821580300
600,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1369,1993,5000,0.000100000000000000004792173602
601,601_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1345,1653,0.998999999999999999111821580300
602,602_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4693,5000,0.998999999999999999111821580300
603,603_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,537,2854,3615,0.998999999999999999111821580300
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
⚠ Job 4512907 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512907/4512907_0_result.pkl
has not produced any output (state: NODE_FAIL)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512907/4512907_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512907/4512907_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512907/4512907_0_log.err not found


⚠ Job 4512817 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512817/4512817_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512817/4512817_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:05:37,215) - Starting with JobEnvironment(job_id=4512817, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:05:37,218) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512817/4512817_submitted.pkl
slurmstepd: error: *** JOB 4512817 ON i7182 CANCELLED AT 2025-04-17T19:35:37 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512817/4512817_0_log.err not found


⚠ Job 4512849 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512849/4512849_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512849/4512849_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:06:17,502) - Starting with JobEnvironment(job_id=4512849, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:06:17,504) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512849/4512849_submitted.pkl
slurmstepd: error: *** JOB 4512849 ON i7181 CANCELLED AT 2025-04-17T19:36:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4512849.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512849/4512849_0_log.err not found


⚠ Job 4512879 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512879/4512879_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512879/4512879_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:06:19,781) - Starting with JobEnvironment(job_id=4512879, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:06:19,783) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512879/4512879_submitted.pkl
slurmstepd: error: *** JOB 4512879 ON i7181 CANCELLED AT 2025-04-17T19:36:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4512879.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512879/4512879_0_log.err not found


⚠ Job 4512961 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512961/4512961_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512961/4512961_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:06:19,417) - Starting with JobEnvironment(job_id=4512961, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:06:19,419) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512961/4512961_submitted.pkl
slurmstepd: error: *** JOB 4512961 ON i7180 CANCELLED AT 2025-04-17T19:36:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4512961.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512961/4512961_0_log.err not found


⚠ Job 4512983 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512983/4512983_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512983/4512983_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:06:20,371) - Starting with JobEnvironment(job_id=4512983, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:06:20,373) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512983/4512983_submitted.pkl
slurmstepd: error: *** JOB 4512983 ON i7180 CANCELLED AT 2025-04-17T19:36:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4512983.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512983/4512983_0_log.err not found


⚠ Job 4513073 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513073/4513073_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513073/4513073_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:08:16,410) - Starting with JobEnvironment(job_id=4513073, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:08:16,412) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513073/4513073_submitted.pkl
slurmstepd: error: *** JOB 4513073 ON i7181 CANCELLED AT 2025-04-17T19:38:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4513073.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513073/4513073_0_log.err not found


⚠ Job 4513188 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513188/4513188_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513188/4513188_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:10:16,550) - Starting with JobEnvironment(job_id=4513188, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:10:16,553) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513188/4513188_submitted.pkl
slurmstepd: error: *** JOB 4513188 ON i7180 CANCELLED AT 2025-04-17T19:40:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4513188.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513188/4513188_0_log.err not found


⚠ Job 4513296 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513296/4513296_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513296/4513296_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:11:20,678) - Starting with JobEnvironment(job_id=4513296, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:11:20,681) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513296/4513296_submitted.pkl
slurmstepd: error: *** JOB 4513296 ON i7180 CANCELLED AT 2025-04-17T19:41:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4513296.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513296/4513296_0_log.err not found


⚠ Job 4513444 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513444/4513444_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513444/4513444_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:14:17,091) - Starting with JobEnvironment(job_id=4513444, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:14:17,094) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513444/4513444_submitted.pkl
slurmstepd: error: *** JOB 4513444 ON i7180 CANCELLED AT 2025-04-17T19:44:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4513444.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4513444/4513444_0_log.err not found


⚠ Job 4516197 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516197/4516197_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516197/4516197_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:55:37,061) - Starting with JobEnvironment(job_id=4516197, hostname=i7176, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:55:37,064) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516197/4516197_submitted.pkl
slurmstepd: error: *** JOB 4516197 ON i7176 CANCELLED AT 2025-04-17T20:25:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4516197.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516197/4516197_0_log.err not found


⚠ Job 4516268 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516268/4516268_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516268/4516268_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:57:23,636) - Starting with JobEnvironment(job_id=4516268, hostname=i7177, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:57:23,641) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516268/4516268_submitted.pkl
slurmstepd: error: *** JOB 4516268 ON i7177 CANCELLED AT 2025-04-17T20:27:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4516268.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516268/4516268_0_log.err not found


⚠ Job 4516325 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516325/4516325_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516325/4516325_0_log.out
----------------------------------------
submitit INFO (2025-04-17 19:59:23,737) - Starting with JobEnvironment(job_id=4516325, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 19:59:23,740) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516325/4516325_submitted.pkl
slurmstepd: error: *** JOB 4516325 ON i7186 CANCELLED AT 2025-04-17T20:29:38 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4516325.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4516325/4516325_0_log.err not found


⚠ Job 4518199 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518199/4518199_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518199/4518199_0_log.out
----------------------------------------
submitit INFO (2025-04-17 20:36:58,554) - Starting with JobEnvironment(job_id=4518199, hostname=i7178, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 20:36:58,557) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518199/4518199_submitted.pkl
slurmstepd: error: *** JOB 4518199 ON i7178 CANCELLED AT 2025-04-17T21:07:08 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4518199.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518199/4518199_0_log.err not found


⚠ Job 4518232 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518232/4518232_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518232/4518232_0_log.out
----------------------------------------
submitit INFO (2025-04-17 20:37:38,722) - Starting with JobEnvironment(job_id=4518232, hostname=i7179, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 20:37:38,733) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518232/4518232_submitted.pkl
slurmstepd: error: *** JOB 4518232 ON i7179 CANCELLED AT 2025-04-17T21:07:38 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4518232.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518232/4518232_0_log.err not found


⚠ Job 4518320 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518320/4518320_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518320/4518320_0_log.out
----------------------------------------
submitit INFO (2025-04-17 20:39:24,767) - Starting with JobEnvironment(job_id=4518320, hostname=i7179, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 20:39:24,769) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518320/4518320_submitted.pkl
slurmstepd: error: *** JOB 4518320 ON i7179 CANCELLED AT 2025-04-17T21:09:38 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4518320.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518320/4518320_0_log.err not found


⚠ Job 4518410 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518410/4518410_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518410/4518410_0_log.out
----------------------------------------
submitit INFO (2025-04-17 20:41:18,582) - Starting with JobEnvironment(job_id=4518410, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-17 20:41:18,584) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518410/4518410_submitted.pkl
slurmstepd: error: *** JOB 4518410 ON i7186 CANCELLED AT 2025-04-17T21:11:38 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4518410.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4518410/4518410_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4527815/4527815_0_log.err not found


⚠ Job 4533487 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4533487/4533487_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4533487/4533487_0_log.out
----------------------------------------
submitit INFO (2025-04-18 04:59:30,392) - Starting with JobEnvironment(job_id=4533487, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 04:59:30,395) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4533487/4533487_submitted.pkl
slurmstepd: error: *** JOB 4533487 ON i7186 CANCELLED AT 2025-04-18T05:29:33 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4533487.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4533487/4533487_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4537401/4537401_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4540616/4540616_0_log.err not found


⚠ Job 4545217 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4545217/4545217_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4545217/4545217_0_log.out
----------------------------------------
submitit INFO (2025-04-18 19:40:37,799) - Starting with JobEnvironment(job_id=4545217, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 19:40:37,810) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4545217/4545217_submitted.pkl
slurmstepd: error: *** JOB 4545217 ON i7180 CANCELLED AT 2025-04-18T20:10:43 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4545217.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4545217/4545217_0_log.err not found


⚠ Job 4560404 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4560404/4560404_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4560404/4560404_0_log.out
----------------------------------------
submitit INFO (2025-04-18 23:25:20,948) - Starting with JobEnvironment(job_id=4560404, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 23:25:20,951) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4560404/4560404_submitted.pkl
slurmstepd: error: *** JOB 4560404 ON i7185 CANCELLED AT 2025-04-18T23:55:24 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4560404.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4560404/4560404_0_log.err not found


⚠ Job 4573713 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4573713/4573713_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4573713/4573713_0_log.out
----------------------------------------
submitit INFO (2025-04-19 04:06:17,836) - Starting with JobEnvironment(job_id=4573713, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 04:06:17,843) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4573713/4573713_submitted.pkl
slurmstepd: error: *** JOB 4573713 ON i7185 CANCELLED AT 2025-04-19T04:36:32 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4573713.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4573713/4573713_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4583889/4583889_0_log.err not found


⚠ Job 4590850 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4590850/4590850_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4590850/4590850_0_log.out
----------------------------------------
submitit INFO (2025-04-19 11:46:15,097) - Starting with JobEnvironment(job_id=4590850, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 11:46:15,100) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4590850/4590850_submitted.pkl
slurmstepd: error: *** JOB 4590850 ON i7183 CANCELLED AT 2025-04-19T12:16:23 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4590850.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4590850/4590850_0_log.err not found


⚠ Job 4598539 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4598539/4598539_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4598539/4598539_0_log.out
----------------------------------------
submitit INFO (2025-04-19 15:50:59,952) - Starting with JobEnvironment(job_id=4598539, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 15:50:59,962) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4598539/4598539_submitted.pkl
slurmstepd: error: *** JOB 4598539 ON i7185 CANCELLED AT 2025-04-19T16:20:59 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4598539.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4598539/4598539_0_log.err not found


⚠ Job 4604777 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4604777/4604777_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4604777/4604777_0_log.out
----------------------------------------
submitit INFO (2025-04-19 19:33:23,927) - Starting with JobEnvironment(job_id=4604777, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 19:33:23,929) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4604777/4604777_submitted.pkl
slurmstepd: error: *** JOB 4604777 ON i7185 CANCELLED AT 2025-04-19T20:03:38 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4604777.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4604777/4604777_0_log.err not found


⚠ Job 4605846 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4605846/4605846_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4605846/4605846_0_log.out
----------------------------------------
submitit INFO (2025-04-20 01:15:03,824) - Starting with JobEnvironment(job_id=4605846, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-20 01:15:03,854) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4605846/4605846_submitted.pkl
slurmstepd: error: *** JOB 4605846 ON i7185 CANCELLED AT 2025-04-20T01:45:24 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4605846.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4605846/4605846_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606403/4606403_0_log.err not found


⚠ Job 4606781 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606781/4606781_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606781/4606781_0_log.out
----------------------------------------
submitit INFO (2025-04-20 08:15:03,939) - Starting with JobEnvironment(job_id=4606781, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-20 08:15:03,951) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606781/4606781_submitted.pkl
slurmstepd: error: *** JOB 4606781 ON i7183 CANCELLED AT 2025-04-20T08:45:15 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4606781.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4606781/4606781_0_log.err not found


⚠ Job 4607136 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607136/4607136_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607136/4607136_0_log.out
----------------------------------------
submitit INFO (2025-04-20 11:21:03,294) - Starting with JobEnvironment(job_id=4607136, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-20 11:21:03,307) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607136/4607136_submitted.pkl
slurmstepd: error: *** JOB 4607136 ON i7185 CANCELLED AT 2025-04-20T11:51:29 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4607136.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607136/4607136_0_log.err not found


⚠ Job 4607424 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607424/4607424_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607424/4607424_0_log.out
----------------------------------------
submitit INFO (2025-04-20 14:26:57,685) - Starting with JobEnvironment(job_id=4607424, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-20 14:26:57,689) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607424/4607424_submitted.pkl
slurmstepd: error: *** JOB 4607424 ON i7185 CANCELLED AT 2025-04-20T14:57:05 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4607424.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4607424/4607424_0_log.err not found


⚠ Job 4608978 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608978/4608978_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608978/4608978_0_log.out
----------------------------------------
submitit INFO (2025-04-21 04:57:17,189) - Starting with JobEnvironment(job_id=4608978, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-21 04:57:17,192) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608978/4608978_submitted.pkl
slurmstepd: error: *** JOB 4608978 ON i7185 CANCELLED AT 2025-04-21T05:27:15 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4608978.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4608978/4608978_0_log.err not found


⚠ Job 4609102 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609102/4609102_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609102/4609102_0_log.out
----------------------------------------
submitit INFO (2025-04-21 07:20:18,533) - Starting with JobEnvironment(job_id=4609102, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-21 07:20:18,552) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609102/4609102_submitted.pkl
slurmstepd: error: *** JOB 4609102 ON i7185 CANCELLED AT 2025-04-21T07:50:17 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4609102.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609102/4609102_0_log.err not found


⚠ Job 4609333 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609333/4609333_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609333/4609333_0_log.out
----------------------------------------
submitit INFO (2025-04-21 10:34:10,537) - Starting with JobEnvironment(job_id=4609333, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-21 10:34:10,542) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609333/4609333_submitted.pkl
slurmstepd: error: *** JOB 4609333 ON i7185 CANCELLED AT 2025-04-21T11:04:22 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4609333.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609333/4609333_0_log.err not found


⚠ Job 4609688 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609688/4609688_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609688/4609688_0_log.out
----------------------------------------
submitit INFO (2025-04-21 13:59:06,641) - Starting with JobEnvironment(job_id=4609688, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-21 13:59:06,644) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609688/4609688_submitted.pkl
slurmstepd: error: *** JOB 4609688 ON i7185 CANCELLED AT 2025-04-21T14:29:31 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4609688.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609688/4609688_0_log.err not found


⚠ Job 4609809 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609809/4609809_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609809/4609809_0_log.out
----------------------------------------
submitit INFO (2025-04-21 16:59:53,847) - Starting with JobEnvironment(job_id=4609809, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-21 16:59:53,856) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609809/4609809_submitted.pkl
slurmstepd: error: *** JOB 4609809 ON i7185 CANCELLED AT 2025-04-21T17:30:06 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4609809.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609809/4609809_0_log.err not found


⚠ Job 4609926 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609926/4609926_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609926/4609926_0_log.out
----------------------------------------
submitit INFO (2025-04-21 19:53:44,115) - Starting with JobEnvironment(job_id=4609926, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-21 19:53:44,124) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609926/4609926_submitted.pkl
slurmstepd: error: *** JOB 4609926 ON i7184 CANCELLED AT 2025-04-21T20:23:41 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4609926.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4609926/4609926_0_log.err not found


⚠ Job 4610580 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610580/4610580_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610580/4610580_0_log.out
----------------------------------------
submitit INFO (2025-04-21 23:08:03,576) - Starting with JobEnvironment(job_id=4610580, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-21 23:08:03,578) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610580/4610580_submitted.pkl
slurmstepd: error: *** JOB 4610580 ON i7185 CANCELLED AT 2025-04-21T23:38:20 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4610580.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610580/4610580_0_log.err not found


⚠ Job 4610703 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610703/4610703_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610703/4610703_0_log.out
----------------------------------------
submitit INFO (2025-04-22 02:10:46,466) - Starting with JobEnvironment(job_id=4610703, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-22 02:10:46,472) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610703/4610703_submitted.pkl
slurmstepd: error: *** JOB 4610703 ON i7185 CANCELLED AT 2025-04-22T02:40:58 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4610703.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610703/4610703_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4610833/4610833_0_log.err not found


⚠ Job 4611054 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611054/4611054_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611054/4611054_0_log.out
----------------------------------------
submitit INFO (2025-04-22 09:06:00,281) - Starting with JobEnvironment(job_id=4611054, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-22 09:06:00,298) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611054/4611054_submitted.pkl
slurmstepd: error: *** JOB 4611054 ON i7186 CANCELLED AT 2025-04-22T09:36:13 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4611054.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611054/4611054_0_log.err not found


⚠ Job 4611391 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611391/4611391_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611391/4611391_0_log.out
----------------------------------------
submitit INFO (2025-04-22 12:02:28,499) - Starting with JobEnvironment(job_id=4611391, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-22 12:02:28,502) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611391/4611391_submitted.pkl
slurmstepd: error: *** JOB 4611391 ON i7186 CANCELLED AT 2025-04-22T12:32:46 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4611391.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611391/4611391_0_log.err not found


⚠ Job 4611983 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611983/4611983_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611983/4611983_0_log.out
----------------------------------------
submitit INFO (2025-04-22 15:10:13,074) - Starting with JobEnvironment(job_id=4611983, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-22 15:10:13,081) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611983/4611983_submitted.pkl
slurmstepd: error: *** JOB 4611983 ON i7186 CANCELLED AT 2025-04-22T15:40:26 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4611983.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4611983/4611983_0_log.err not found


⚠ Job 4613134 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4613134/4613134_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4613134/4613134_0_log.out
----------------------------------------
submitit INFO (2025-04-22 19:12:14,043) - Starting with JobEnvironment(job_id=4613134, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-22 19:12:14,048) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4613134/4613134_submitted.pkl
slurmstepd: error: *** JOB 4613134 ON i7186 CANCELLED AT 2025-04-22T19:42:37 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4613134.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4613134/4613134_0_log.err not found

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
			
			<h1>&nbsp;Args Overview</h1>
			<h2>Arguments Overview:                                                                               </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value                                                                                                                             </th></tr></thead><tbody><tr><td> config_yaml</td><td>None                                                                                                                              </td></tr><tr><td> config_toml</td><td>None                                                                                                                              </td></tr><tr><td> config_json</td><td>None                                                                                                                              </td></tr><tr><td> num_random_steps</td><td>20                                                                                                                                </td></tr><tr><td> max_eval</td><td>None                                                                                                                              </td></tr><tr><td> run_program</td><td>None                                                                                                                              </td></tr><tr><td> experiment_name</td><td>None                                                                                                                              </td></tr><tr><td> mem_gb</td><td>1                                                                                                                                 </td></tr><tr><td> parameter</td><td>None                                                                                                                              </td></tr><tr><td> continue_previous_job</td><td>/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0 </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                              </td></tr><tr><td> run_dir</td><td>runs                                                                                                                              </td></tr><tr><td> seed</td><td>None                                                                                                                              </td></tr><tr><td> decimalrounding</td><td>4                                                                                                                                 </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                             </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                             </td></tr><tr><td> model</td><td>None                                                                                                                              </td></tr><tr><td> gridsearch</td><td>False                                                                                                                             </td></tr><tr><td> occ</td><td>False                                                                                                                             </td></tr><tr><td> show_sixel_scatter</td><td>False                                                                                                                             </td></tr><tr><td> show_sixel_general</td><td>False                                                                                                                             </td></tr><tr><td> show_sixel_trial_index_result</td><td>False                                                                                                                             </td></tr><tr><td> follow</td><td>False                                                                                                                             </td></tr><tr><td> send_anonymized_usage_stats</td><td>False                                                                                                                             </td></tr><tr><td> ui_url</td><td>None                                                                                                                              </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                                    </td></tr><tr><td> exclude</td><td>None                                                                                                                              </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                                 </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                                 </td></tr><tr><td> max_nr_of_zero_results</td><td>10                                                                                                                                </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                             </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                              </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                             </td></tr><tr><td> live_share</td><td>False                                                                                                                             </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                             </td></tr><tr><td> workdir</td><td>False                                                                                                                             </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                            </td></tr><tr><td> result_names</td><td>[&#039;RESULT=min&#039;]                                                                                                                    </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                                 </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                              </td></tr><tr><td> generate_all_jobs_at_once</td><td>False                                                                                                                             </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                              </td></tr><tr><td> load_data_from_existing_jobs</td><td>[]                                                                                                                                </td></tr><tr><td> n_estimators_randomforest</td><td>100                                                                                                                               </td></tr><tr><td> external_generator</td><td>None                                                                                                                              </td></tr><tr><td> username</td><td>None                                                                                                                              </td></tr><tr><td> max_failed_jobs</td><td>None                                                                                                                              </td></tr><tr><td> num_parallel_jobs</td><td>20                                                                                                                                </td></tr><tr><td> worker_timeout</td><td>30                                                                                                                                </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                             </td></tr><tr><td> time</td><td></td></tr><tr><td> partition</td><td></td></tr><tr><td> reservation</td><td>None                                                                                                                              </td></tr><tr><td> force_local_execution</td><td>False                                                                                                                             </td></tr><tr><td> slurm_signal_delay_s</td><td>0                                                                                                                                 </td></tr><tr><td> nodes_per_job</td><td>1                                                                                                                                 </td></tr><tr><td> cpus_per_task</td><td>1                                                                                                                                 </td></tr><tr><td> account</td><td>None                                                                                                                              </td></tr><tr><td> gpus</td><td>0                                                                                                                                 </td></tr><tr><td> run_mode</td><td>local                                                                                                                             </td></tr><tr><td> verbose</td><td>False                                                                                                                             </td></tr><tr><td> verbose_break_run_search_table</td><td>False                                                                                                                             </td></tr><tr><td> debug</td><td>False                                                                                                                             </td></tr><tr><td> no_sleep</td><td>False                                                                                                                             </td></tr><tr><td> tests</td><td>False                                                                                                                             </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False                                                                                                                             </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False                                                                                                                             </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False                                                                                                                             </td></tr><tr><td> raise_in_eval</td><td>False                                                                                                                             </td></tr><tr><td> show_ram_every_n_seconds</td><td>False                                                                                                                             </td></tr></tbody></table>
			<h1>&nbsp;Worker-Usage</h1>
			<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
<pre id="pre_tab_worker_usage">1744909333.6460118,20,0,0
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1744914826.175488,20,4,20
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1744914842.9692595,20,4,20
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1744914844.6177447,20,5,25
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1744914890.0617635,20,7,35
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1744914916.1679413,20,8,40
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1744915010.9202428,20,10,50
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1744915259.3930886,20,16,80
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1744917699.9779847,20,2,10
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1744917731.4982927,20,2,10
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1744945154.0230944,20,2,10
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1744961440.5269434,20,1,5
1744961441.0616555,20,1,5
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1744961458.9607074,20,2,10
1744961469.2516358,20,1,5
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1744978681.9448702,20,1,5
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1744997902.0698314,20,1,5
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1745011484.4395103,20,1,5
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1745011486.691637,20,2,10
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1745152016.291529,20,2,10
1745152032.2520094,20,2,10
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1745194314.312086,20,1,5
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;CPU/RAM-Usage (main)</h1>
			<div class='invert_in_dark_mode' id='mainWorkerCPURAM'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1744909333,647.83984375,16.4
1744909333,647.84375,60.8
1744909333,647.90234375,58.3
1744909333,647.90234375,50.0
1744909333,647.90234375,68.2
1744909333,647.90234375,47.7
1744909333,647.90234375,19.6
1744910111,721.078125,32.2
1744910111,721.078125,66.7
1744910111,721.078125,64.6
1744910111,721.078125,59.4
1744912882,765.6953125,42.8
1744912882,765.6953125,92.0
1744912882,765.6953125,76.4
1744912882,765.6953125,74.0
1744915685,769.9375,63.1
1744915685,769.9375,46.2
1744915685,769.9375,47.3
1744915685,769.9375,66.0
1745194321,1390.9765625,68.5
1745194321,1390.9765625,60.6
1745194321,1390.9765625,66.5
1745194321,1390.9765625,18.2
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;Heatmap</h1>
			<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
			    <h1>Correlation Heatmap Explanation</h1>
			
			    <p>
			        This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
			    </p>
			
			    <h2>How It Works</h2>
			    <p>
			        The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
			    </p>
			    <ul>
			        <li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
			        <li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
			        <li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
			    </ul>
			
			    <h2>Color Scale: Yellow to Purple (Viridis)</h2>
			    <p>
			        The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
			    </p>
			    <ul>
			        <li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
			        <li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
			        <li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
			        <li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
			    </ul>
			
			    <h2>What the Heatmap Shows</h2>
			    <p>
			        In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
			    </p>
			
			<h1>&nbsp;Result-Pairs</h1>
			<div class="invert_in_dark_mode" id="plotResultPairs"></div>
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
			<h1>&nbsp;Exit-Codes</h1>
			<div class="invert_in_dark_mode" id="plotExitCodesPieChart"></div>
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