OmniOpt2

Setting	Value
Model for non-random steps	BOTORCH_MODULAR
Max. nr. evaluations	500
Number random steps	20
Nr. of workers (parameter)	30
Main process memory (GB)	8
Worker memory (GB)	32
Name	Type	Lower bound	Upper bound	Values	Type	Log Scale?
recent_samples_size	range	10	4000		int	No
n_subspaces	range	1	100		int	No
feature_percentage	range	0.02	0.8		float	No
alpha	range	0.001	0.01		float	No
window_size	range	100	1000		int	No
mode	fixed			EDFSMode.RANDOM
Failed	Succeeded	Running	Total
53	241	6	300
name	min/max
ACCURACY	max
RUNTIME	min
Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	20
max_eval	500
run_program	[['bW9kdWxlIGxvYWQgR0NDY29yZS8xMC4zLjAgUHl0aG9uICYmIHNvdXJjZSAvZGF0YS9ob3JzZS93cy9zNDEyMjQ4NS1jb21wUGVyZkREL2JlbmNobWFyay92ZW52L2Jpbi9hY3RpdmF0ZSAmJiBw…
experiment_name	EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME
mem_gb	32
parameter	[['recent_samples_size', 'range', '10', '4000', 'int'], ['n_subspaces', 'range', '1', '100', 'int'], ['feature_percentage', 'range', '0.02', '0.8',
	'float'], ['alpha', 'range', '0.001', '0.01', 'float'], ['window_size', 'range', '100', '1000', 'int'], ['mode', 'choice', 'EDFSMode.RANDOM']]
continue_previous_job	None
maximize	False
experiment_constraints	None
stderr_to_stdout	False
run_dir	runs
seed	None
decimalrounding	12
enforce_sequential_optimization	False
verbose_tqdm	False
model	BOTORCH_MODULAR
gridsearch	False
occ	False
show_sixel_scatter	False
show_sixel_general	False
show_sixel_trial_index_result	False
follow	False
send_anonymized_usage_stats	True
ui_url	None
root_venv_dir	/home/s4122485
exclude	None
main_process_gb	8
pareto_front_confidence	1
max_nr_of_zero_results	50
disable_search_space_exhaustion_detection	False
abbreviate_job_names	False
orchestrator_file	None
checkout_to_latest_tested_version	False
live_share	False
disable_tqdm	False
workdir	False
max_parallelism	max_eval_times_thousand_plus_thousand
occ_type	euclid
result_names	['ACCURACY=max', 'RUNTIME=min']
minkowski_p	2
signed_weighted_euclidean_weights
generation_strategy	None
generate_all_jobs_at_once	True
revert_to_random_when_seemingly_exhausted	True
num_parallel_jobs	30
worker_timeout	30
slurm_use_srun	False
time	1260
partition	romeo
reservation	None
force_local_execution	False
slurm_signal_delay_s	0
nodes_per_job	1
cpus_per_task	1
account	None
gpus	0
run_mode	local
verbose	False
verbose_break_run_search_table	False
debug	False
no_sleep	False
tests	False
show_worker_percentage_table_at_end	False
auto_exclude_defective_hosts	False
run_tests_that_fail_on_taurus	False
raise_in_eval	False
show_ram_every_n_seconds	False
Skipped tabs:
Job-Infos
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			}
			
			.switch input {
				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
			}
			
			.slider:before {
				position: absolute;
				content: "";
				height: 20px;
				width: 20px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #444;
			}
			
			input:checked + .slider:before {
				transform: translateX(24px);
			}
			
			.mode-text {
				position: absolute;
				top: 5px;
				left: 65px;
				font-size: 14px;
				color: black;
				transition: .4s;
				width: 60px;
				display: block;
				font-size: 0.7rem;
				text-align: center;
			}
			
			input:checked + .slider .mode-text {
				content: "Dark Mode";
				color: white;
			}
			
			#mainContent {
				height: fit-content;
				min-height: 100%;
			}
			
			li {
				text-align: left;
			}
			
			#share_path {
				margin-bottom: 20px;
				margin-top: 20px;
			}
			
			#sortForm {
				margin-bottom: 20px;
			}
			
			.share_folder_buttons {
				margin-top: 10px;
				margin-bottom: 10px;
			}
			
			.nav_tab_button {
				margin: 10px;
			}
			
			.header_table {
				margin: 10px;
			}
			
			.no_border {
				border: unset !important;
			}
			
			.gui_table {
				padding: 5px !important;
			}
			
			.gui_parameter_row {
			}
			
			.gui_parameter_row_cell {
				border: unset !important;
			}
			
			.gui_param_table {
				width: 95%;
				margin: unset !important;
			}
			
			table td, table tr,
			.parameterRow table {
				padding: 2px !important;
			}
			
			.parameterRow table {
				margin: 0px;
				border: unset;
			}
			
			.parameterRow > td {
				border: 0px !important;
			}
			
			.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
				border: 0px !important;
			}
			
			.green_text {
				color: green;
			}
			
			.remove_parameter {
				white-space: pre;
			}
			
			select {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				background-color: #fff;
				color: #222;
				padding: 5px 30px 5px 5px;
				border: 1px solid #555;
				border-radius: 5px;
				cursor: pointer;
				outline: none;
				transition: all 0.3s ease;
				background:
					url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
					no-repeat right 10px center,
				linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
				background-size: 12px, auto;
			}
			
			select:hover {
				border-color: #888;
			}
			
			select:focus {
				border-color: #4caf50;
				box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
			}
			
			select::-ms-expand {
				display: none;
			}
			
			input, textarea {
				border-radius: 5px;
			}
			
			#search {
				width: 200px;
				max-width: 70%;
				background-image: url(images/search.svg);
				background-repeat: no-repeat;
				background-size: auto 40px;
				height: 40px;
				line-height: 40px;
				padding-left: 40px;
				box-sizing: border-box;
			}
			
			input[type="checkbox"] {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				width: 25px;
				height: 25px;
				border: 2px solid #3498db;
				border-radius: 5px;
				background-color: #fff;
				position: relative;
				cursor: pointer;
				transition: all 0.3s ease;
				width: 25px !important;
			}
			
			input[type="checkbox"]:checked {
				background-color: #3498db;
				border-color: #2980b9;
			}
			
			input[type="checkbox"]:checked::before {
				content: '✔';
				position: absolute;
				left: 4px;
				top: 2px;
				color: #fff;
			}
			
			input[type="checkbox"]:hover {
				border-color: #2980b9;
				background-color: #3caffc;
			}
			
			.toc {
				margin-bottom: 20px;
			}
			
			.toc li {
				margin-bottom: 5px;
			}
			
			.toc a {
				text-decoration: none;
				color: #007bff;
			}
			
			.toc a:hover {
				text-decoration: underline;
			}
			
			.table-container {
				width: 100%;
				overflow-x: auto;
			}
			
			.section-header {
				background-color: #1d6f9a !important;
				color: white;
			}
			
			.warning {
				color: red;
			}
			
			.li_list a {
				text-decoration: none;
				color: #007bff;
			}
			
			.gridjs-td {
				white-space: nowrap;
			}
			
			th, td {
				border: 1px solid gray !important;
			}
			
			.no_border {
				border: 0px !important;
			}
			
			.no_break {
			
			}
			
			img {
				user-select: none;
				pointer-events: none;
			}
			
			#config_table, #hidden_config_table {
				user-select: none;
			}
			
			.copy_clipboard_button {
				margin-bottom: 10px;
			}
			
			.badge_table {
				background-color: unset !important;
			}
			
			.make_markable {
				user-select: text;
			}
			
			.header-container {
				display: flex;
				flex-wrap: wrap;
				align-items: center;
				justify-content: space-between;
				gap: 1rem;
				padding: 10px;
				background: var(--header-bg, #fff);
				border-bottom: 1px solid #ccc;
			}
			
			.header-logo-group {
				display: flex;
				gap: 1rem;
				align-items: center;
				flex: 1 1 auto;
				min-width: 200px;
			}
			
			.logo-img {
				max-height: 45px;
				height: auto;
				width: auto;
				object-fit: contain;
				pointer-events: unset;
			}
			
			.header-badges {
				flex-direction: column;
				gap: 5px;
				align-items: flex-start;
				flex: 0 1 auto;
				margin-top: auto;
				margin-bottom: auto;
			}
			
			.badge-img {
				height: auto;
				max-width: 130px;
			}
			
			.header-tabs {
				margin-top: 10px;
				display: flex;
				flex-wrap: wrap;
				gap: 10px;
				flex: 2 1 100%;
				justify-content: center;
			}
			
			.nav-tab {
				display: inline-block;
				text-decoration: none;
				padding: 8px 16px;
				border-radius: 20px;
				background: linear-gradient(to right, #4a90e2, #357ABD);
				color: white;
				font-weight: bold;
				white-space: nowrap;
				transition: background 0.2s ease-in-out, transform 0.2s;
				box-shadow: 0 2px 4px rgba(0,0,0,0.2);
			}
			
			.nav-tab:hover {
				background: linear-gradient(to right, #5aa0f2, #4a90e2);
				transform: translateY(-2px);
			}
			
			.current-tag {
				padding-left: 10px;
				font-size: 0.9rem;
				color: #666;
			}
			
			.header-theme-toggle {
				flex: 1 1 auto;
				align-items: center;
				margin-top: 20px;
				min-width: 120px;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 60px;
				height: 30px;
			}
			
			.switch input {
				display: none;
			}
			
			.slider {
				position: absolute;
				top: 0; left: 0; right: 0; bottom: 0;
				background-color: #ccc;
				border-radius: 34px;
				cursor: pointer;
			}
			
			.slider::before {
				content: "";
				position: absolute;
				height: 24px;
				width: 24px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #2196F3;
			}
			
			input:checked + .slider::before {
				transform: translateX(30px);
			}
			
			@media (max-width: 768px) {
				.header-logo-group,
				.header-badges,
				.header-theme-toggle {
					justify-content: center;
					flex: 1 1 100%;
					text-align: center;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					font-size: 2em;
				}
			}
			
			.header_button {
				margin-top: 20px;
				margin: 5px;
			}
			
			.line_break_anywhere {
				line-break: anywhere;
			}
			
			.responsive-container {
				display: flex;
				flex-wrap: wrap;
				justify-content: space-between;
				gap: 20px;
			}
			
			.responsive-container .half {
				flex: 1 1 48%;
				box-sizing: border-box;
				min-width: 500px;
			}
			
			.config-section table {
				width: 100%;
				border-collapse: collapse;
			}
			
			@media (max-width: 768px) {
				.responsive-container .half {
					flex: 1 1 100%;
				}
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			.rotate {
				animation: spin 2s linear infinite;
				display: inline-block;
			}
			

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 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			}
			
			: :-webkit-scrollbar-button: vertical: end{
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			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
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			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 17px;
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			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
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stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
			}
			
			.field-row{
				display: flex;
				align-items: center
			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
				margin-top: 6px
			}
			
			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
			menu[role=tablist] button{
				background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
				padding: 0 12px 3px
			}
			
			menu[role=tablist] button: hover{
				box-shadow: unset;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]{
				border-color: #919b9c;
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]: first-of-type: before{
				content: "";
				display: block;
				position: absolute;
				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
			}
			
			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
			}
			
			ul.tree-view{
				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
			}
			
			@keyframes sliding{
				0%{
					transform: translateX(-30px)
				}
			
				to{
					transform: translateX(100%)
				}
			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
				border-radius: 4px;
				padding: 1px 2px 1px 0;
				overflow: hidden;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress,progress: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				height: 14px
			}
			
			progress[value]: :-webkit-progress-bar{
				background-color: transparent
			}
			
			progress[value]: :-webkit-progress-value{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress[value]: :-moz-progress-bar{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-webkit-progress-bar{
				width: 100%;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-webkit-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]){
				position: relative
			}
			
			progress: not([value]): before{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before,progress: not([value]): before: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): after{
				box-sizing: border-box;
				content: "";
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier EDFS recent_samples_size 2494 n_subspaces 1 feature_percentage 0.02 alpha 0.007821991217941516 window_size 178 mode EDFSMode.RANDOM",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier EDFS recent_samples_size 2191 n_subspaces 1 feature_percentage 0.0736340385934364 alpha 0.001 window_size 100 mode EDFSMode.RANDOM",
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			        3250,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier EDFS recent_samples_size 3750 n_subspaces 12 feature_percentage 0.20892405116476404 alpha 0.001 window_size 428 mode EDFSMode.RANDOM",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier EDFS recent_samples_size 3938 n_subspaces 13 feature_percentage 0.2763456675723338 alpha 0.009538560599764122 window_size 341 mode EDFSMode.RANDOM",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py GasSensor 2000 HoeffdingTreeClassifier EDFS recent_samples_size 3997 n_subspaces 100 feature_percentage 0.14867533539138036 alpha 0.001 window_size 251 mode EDFSMode.RANDOM",
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			    [
			        1742463005,
			        778.76171875,
			        8.1
			    ],
			    [
			        1742463006,
			        778.76171875,
			        8.2
			    ],
			    [
			        1742463006,
			        778.76171875,
			        7.8
			    ],
			    [
			        1742476522,
			        736.234375,
			        8.4
			    ],
			    [
			        1742476522,
			        736.234375,
			        6.6
			    ],
			    [
			        1742476523,
			        736.234375,
			        6.9
			    ],
			    [
			        1742476523,
			        736.234375,
			        8.6
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout) {
				layout["width"] = get_graph_width();
				layout["height"] = get_graph_height();
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function load_pareto_graph() {
				if($("#tab_pareto_fronts").data("loaded") == "true") {
					return;
				}
			
				var data = pareto_front_data;
			
				if (!data || typeof data !== "object") {
					console.error("Invalid data format for pareto_front_data");
					return;
				}
			
				if (!Object.keys(data).length) {
					console.warn("No data found in pareto_front_data");
					return;
				}
			
				let categories = Object.keys(data);
				let allMetrics = new Set();
			
				function extractMetrics(obj, prefix = "") {
					let keys = Object.keys(obj);
					for (let key of keys) {
						let newPrefix = prefix ? `${prefix} -> ${key}` : key;
						if (typeof obj[key] === "object" && !Array.isArray(obj[key])) {
							extractMetrics(obj[key], newPrefix);
						} else {
							if (!newPrefix.includes("param_dicts") && !newPrefix.includes(" -> sems -> ") && !newPrefix.includes("absolute_metrics")) {
								allMetrics.add(newPrefix);
							}
						}
					}
				}
			
				for (let cat of categories) {
					extractMetrics(data[cat]);
				}
			
				allMetrics = Array.from(allMetrics);
			
				function extractValues(obj, metricPath, values) {
					let parts = metricPath.split(" -> ");
					let data = obj;
					for (let part of parts) {
						if (data && typeof data === "object") {
							data = data[part];
						} else {
							return;
						}
					}
					if (Array.isArray(data)) {
						values.push(...data);
					}
				}
			
				let graphContainer = document.getElementById("pareto_front_graphs_container");
				graphContainer.classList.add("invert_in_dark_mode");
				graphContainer.innerHTML = "";
			
				var already_plotted = [];
			
				for (let i = 0; i < allMetrics.length; i++) {
					for (let j = i + 1; j < allMetrics.length; j++) {
						let xMetric = allMetrics[i];
						let yMetric = allMetrics[j];
			
						let xValues = [];
						let yValues = [];
			
						for (let cat of categories) {
							let metricData = data[cat];
							extractValues(metricData, xMetric, xValues);
							extractValues(metricData, yMetric, yValues);
						}
			
						xValues = xValues.filter(v => v !== undefined && v !== null);
						yValues = yValues.filter(v => v !== undefined && v !== null);
			
						let cleanXMetric = xMetric.replace(/.* -> /g, "");
						let cleanYMetric = yMetric.replace(/.* -> /g, "");
			
						let plot_key = `${cleanXMetric}-${cleanYMetric}`;
			
						if (xValues.length > 0 && yValues.length > 0 && xValues.length === yValues.length && !already_plotted.includes(plot_key)) {
							let div = document.createElement("div");
							div.id = `pareto_front_graph_${i}_${j}`;
							div.style.marginBottom = "20px";
							graphContainer.appendChild(div);
			
							let layout = {
								title: `${cleanXMetric} vs ${cleanYMetric}`,
								xaxis: {
									title: get_axis_title_data(cleanXMetric)
								},
								yaxis: {
									title: get_axis_title_data(cleanYMetric)
								},
								hovermode: "closest"
							};
			
							let trace = {
								x: xValues,
								y: yValues,
								mode: "markers",
								marker: {
									size: get_marker_size(),
								},
								type: "scatter",
								name: `${cleanXMetric} vs ${cleanYMetric}`
							};
			
							Plotly.newPlot(div.id, [trace], add_default_layout_data(layout));
			
							already_plotted.push(plot_key);
						}
					}
				}
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				$("#tab_pareto_fronts").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
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							var temperature = parseFloat(entry[2]);
			
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								console.warn("Invalid data point:", entry);
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					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_method";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',  // Zeigt nur Ausreißer außerhalb der Whiskers
						jitter: 0.5,  // Erhöht die Streuung der Punkte für bessere Sichtbarkeit
						pointpos: 0   // Position der Punkte innerhalb der Box
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				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: "Generation Method"
					},
					boxmode: 'group'  // Gruppiert die Boxplots nach Generation Method
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
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			}
			
			function plotJobStatusDistribution() {
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					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
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					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");
			}
			
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				plotBoxplot();;
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					<h1>&nbsp;Overview</h1>
			<h2>Experiment overview:              </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value           </th></tr></thead><tbody><tr><td> Model for non-random steps</td><td>BOTORCH_MODULAR </td></tr><tr><td> Max. nr. evaluations</td><td>500             </td></tr><tr><td> Number random steps</td><td>20              </td></tr><tr><td> Nr. of workers (parameter)</td><td>30              </td></tr><tr><td> Main process memory (GB)</td><td>8               </td></tr><tr><td> Worker memory (GB)</td><td>32              </td></tr></tbody></table><h2>Experiment parameters:                                      </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Values</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>range</td><td>10</td><td>4000</td><td></td><td>int</td><td>No         </td></tr><tr><td> n_subspaces</td><td>range</td><td>1</td><td>100</td><td></td><td>int</td><td>No         </td></tr><tr><td> feature_percentage</td><td>range</td><td>0.02</td><td>0.8</td><td></td><td>float</td><td>No         </td></tr><tr><td> alpha</td><td>range</td><td>0.001</td><td>0.01</td><td></td><td>float</td><td>No         </td></tr><tr><td> window_size</td><td>range</td><td>100</td><td>1000</td><td></td><td>int</td><td>No         </td></tr><tr><td> mode</td><td>fixed</td><td></td><td></td><td>EDFSMode.RANDOM</td><td></td><td></td></tr></tbody></table><br><h2>Number of evaluations:</h2>
			<table>
			<tbody>
			<tr>
			<th>Failed</th>
			<th>Succeeded</th>
			<th>Running</th>
			<th>Total</th>
			</tr>
			<tr>
			<td>53</td>
			<td>241</td>
			<td>6</td>
			<td>300</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types:</h2>
			<br><table>
			<tr><th>name</th><th>min/max</th></tr>
			<tr>
			<td>ACCURACY</td>
			<td>max</td>
			</tr>
			<tr>
			<td>RUNTIME</td>
			<td>min</td>
			</tr>
			</table><br>
			
			<h1>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,n_subspaces,feature_percentage,alpha,window_size,mode
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.554659949622166248417443057406,44.880459785461425781250000000000,2601,23,0.520678654909133897810136204498,0.001837835393846035114684411838,551,EDFSMode.RANDOM
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.610831234256926980386026571068,61.682372331619262695312500000000,1974,85,0.156896829102188356541702773939,0.009954504027031362695110416894,531,EDFSMode.RANDOM
2,2_0,FAILED,Sobol,GenerationStep_0,,,334,47,0.686636647824198087519675937074,0.005323147668503225293790137584,113,EDFSMode.RANDOM
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.540722082283795146828708766407,41.633024215698242187500000000000,3204,60,0.271251342725008726119995117188,0.006188898739404977318578904288,976,EDFSMode.RANDOM
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.568345927791771621251371016115,25.183106184005737304687500000000,3602,29,0.057769544571638103969135613625,0.006739346032030880777330406062,851,EDFSMode.RANDOM
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.617632241813601989832704930450,147.694012165069580078125000000000,981,65,0.424758755527436748788971954127,0.003606094083748758154922553487,267,EDFSMode.RANDOM
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.616708648194794317731748378719,34.247284412384033203125000000000,1328,4,0.370355414859950549111289319626,0.008257084212265909314854006595,403,EDFSMode.RANDOM
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.605205709487825371795111095707,652.060372591018676757812500000000,2203,91,0.782485385239124364709084602509,0.002372760181315243434990724936,708,EDFSMode.RANDOM
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.562552476910159526823917985894,97.828416824340820312500000000000,2259,41,0.328094414845109039191584088258,0.004314347224310040654349229783,441,EDFSMode.RANDOM
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.546263643996641512501355464337,91.280912637710571289062500000000,1139,54,0.744051020629704074060839502636,0.007438818693161011914860569760,648,EDFSMode.RANDOM
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.531402183039462627789362159092,14.105303525924682617187500000000,550,17,0.103861971534788613547029001438,0.002807599663734436368223157388,897,EDFSMode.RANDOM
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.669101595298068896333631982998,1325.138226747512817382812500000000,3916,78,0.468595963940024395899541787003,0.008665547924116254879800536060,185,EDFSMode.RANDOM
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.636104114189756542074860590219,192.513703823089599609375000000000,3253,9,0.645090549495071163832449201436,0.009255417251959444785436303960,286,EDFSMode.RANDOM
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.576238455079764899657845944603,251.712444782257080078125000000000,137,98,0.232008442301303158261660541939,0.001129950948059558818101222322,825,EDFSMode.RANDOM
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.597397145256087336306904944649,55.541992425918579101562500000000,1552,35,0.567485990095883630068840375316,0.005781078405678272483236845858,745,EDFSMode.RANDOM
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.649874055415617157827057326358,59.560797452926635742187500000000,2922,72,0.199925501700490698686607515810,0.004888968730345368864098620776,373,EDFSMode.RANDOM
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.525860621326616262116715461161,90.251855611801147460937500000000,2842,32,0.703786898292601104110133292124,0.007998105322942138453723437408,949,EDFSMode.RANDOM
17,17_0,FAILED,Sobol,GenerationStep_0,,,1718,75,0.339365617260336926985786476507,0.002632430393248796646893383766,140,EDFSMode.RANDOM
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.562636439966414769742186763324,19.594950199127197265625000000000,123,13,0.504313286915421543632476186758,0.006981296498328447633352489277,504,EDFSMode.RANDOM
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.591519731318219998961183136998,50.051875352859497070312500000000,3493,95,0.087901728637516510223015586689,0.003364551698789000969136431252,579,EDFSMode.RANDOM
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.559865659109991642417014645616,33.330356597900390625000000000000,3843,14,0.240446805525571100092818710436,0.005064246160909533639449264797,679,EDFSMode.RANDOM
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.574559193954659930270167933486,416.866696834564208984375000000000,724,81,0.607754481192678275291996214946,0.006448491837829351674971078978,432,EDFSMode.RANDOM
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.630898404701931148075289002009,321.178767442703247070312500000000,1117,44,0.186845310237258671604010373812,0.002079708721488714683045539999,238,EDFSMode.RANDOM
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.509151973131822033202809052455,303.465939998626708984375000000000,2491,51,0.600418476480990670474113812816,0.009713039023801686017156598041,881,EDFSMode.RANDOM
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.640554156171284638787710719043,69.961089372634887695312500000000,2064,6,0.120941457394510509804064213313,0.006013626136817038815574054667,156,EDFSMode.RANDOM
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.535012594458438295319524513616,160.878806352615356445312500000000,1443,88,0.536781738232821270528916102194,0.004655739064328373241763436852,926,EDFSMode.RANDOM
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.550461796809403880459399260872,31.240003347396850585937500000000,776,26,0.311658275704830900476594024440,0.009004742498509587383948016281,619,EDFSMode.RANDOM
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.638539042821158697726957598206,377.061895608901977539062500000000,3643,69,0.675127419922500915383523079072,0.001380209841765463402510349944,470,EDFSMode.RANDOM
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.661293031066330860845425831940,83.431698799133300781250000000000,3058,50,0.437696113102138073536195861379,0.003040207610465586567094486981,346,EDFSMode.RANDOM
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.614441645675902647916188925592,14.759916067123413085937500000000,441,58,0.025075106918811797263035856531,0.008432258310727774874848705622,772,EDFSMode.RANDOM
30,30_0,COMPLETED,Sobol,GenerationStep_0,0.567506297229219192068683241814,342.129504919052124023437500000000,1778,19,0.774285047501325651708725672506,0.004063612523488700604967771568,798,EDFSMode.RANDOM
31,31_0,COMPLETED,Sobol,GenerationStep_0,0.633921074727120115177569914522,277.405279397964477539062500000000,2649,88,0.407548672519624288757000840633,0.007689137802459300799484687161,313,EDFSMode.RANDOM
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.691099916036943762165378757345,107.713953733444213867187500000000,3845,57,0.066955936422419704001640639035,0.007125827375986328385271129093,185,EDFSMode.RANDOM
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.615785054575986534608489364473,72.101008176803588867187500000000,3746,77,0.062796432517298966802243853635,0.006391691500600334314985406792,325,EDFSMode.RANDOM
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.661209068010075617927157054510,37.858656644821166992187500000000,1312,1,0.199758205404932803750384096020,0.008349605198988968926543385862,338,EDFSMode.RANDOM
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.680100755667506273738354138914,187.446210861206054687500000000000,3202,75,0.032526106484387438955163673882,0.009820229963679451973268541565,150,EDFSMode.RANDOM
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.635180520570948758951601575973,344.997183084487915039062500000000,2561,100,0.069056298872062368832125400786,0.006389807183721085172278808528,171,EDFSMode.RANDOM
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.702686817800167951020284817787,1363.941783189773559570312500000000,3889,49,0.504884429152364311299550081458,0.001000000000000000020816681712,173,EDFSMode.RANDOM
38,38_0,FAILED,BoTorch,GenerationStep_1,,,3015,56,0.800000000000000044408920985006,0.010000000000000000208166817117,184,EDFSMode.RANDOM
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.595046179680940423573076714092,28.173436880111694335937500000000,305,1,0.800000000000000044408920985006,0.009428622755660675744393550701,328,EDFSMode.RANDOM
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.646347607052896733215163749264,84.795321464538574218750000000000,3760,89,0.020000000000000000416333634234,0.001000000000000000020816681712,221,EDFSMode.RANDOM
41,41_0,FAILED,BoTorch,GenerationStep_1,,,3985,90,0.800000000000000044408920985006,0.010000000000000000208166817117,125,EDFSMode.RANDOM
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.617212426532325775241361043300,434.857006072998046875000000000000,3696,100,0.441159608237073397329908175379,0.001000000000000000020816681712,445,EDFSMode.RANDOM
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.715952980688497109262868889346,424.522400140762329101562500000000,3810,46,0.096418305120742411884471323447,0.010000000000000000208166817117,140,EDFSMode.RANDOM
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.642485306465155336930195062450,80.254407882690429687500000000000,3938,75,0.020000000000000000416333634234,0.010000000000000000208166817117,267,EDFSMode.RANDOM
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.677246011754827903494913243776,87.572300672531127929687500000000,3914,100,0.020000000000000000416333634234,0.010000000000000000208166817117,206,EDFSMode.RANDOM
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.643744752308984091726529186417,397.341567516326904296875000000000,3939,100,0.377596576598569044769249103410,0.001000000000000000020816681712,284,EDFSMode.RANDOM
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.639126784214945398154839040217,44.411337852478027343750000000000,3787,100,0.026502974620403761674136688953,0.008088806093877715097661962318,439,EDFSMode.RANDOM
48,48_0,FAILED,BoTorch,GenerationStep_1,,,3986,61,0.467482517606296277268285166429,0.001000000000000000020816681712,151,EDFSMode.RANDOM
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.638790931989924426481763930497,43.887313127517700195312500000000,3820,21,0.020000000000000000416333634234,0.010000000000000000208166817117,353,EDFSMode.RANDOM
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.593618807724601182940205035266,22.934671640396118164062500000000,557,18,0.025399239011860044734625319052,0.010000000000000000208166817117,333,EDFSMode.RANDOM
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.663140218303946316069641397917,84.670647382736206054687500000000,3694,48,0.059735567377402376543216178106,0.010000000000000000208166817117,215,EDFSMode.RANDOM
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.687405541561712851716947625391,900.635319471359252929687500000000,1057,84,0.093224286305893411253009617212,0.007351779223168142078648212845,133,EDFSMode.RANDOM
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.612510495382031949773704582185,47.628973245620727539062500000000,3648,1,0.800000000000000044408920985006,0.005539390460646664848809450632,360,EDFSMode.RANDOM
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.573635600335852258169211381755,25.625886917114257812500000000000,499,1,0.020000000000000000416333634234,0.003091430457053654518029262022,327,EDFSMode.RANDOM
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.629890848026868233056063672848,1102.003146886825561523437500000000,3025,32,0.800000000000000044408920985006,0.010000000000000000208166817117,190,EDFSMode.RANDOM
56,56_0,FAILED,BoTorch,GenerationStep_1,,,1882,53,0.800000000000000044408920985006,0.010000000000000000208166817117,139,EDFSMode.RANDOM
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.672963895885810292618600669812,84.662776708602905273437500000000,3806,23,0.020000000000000000416333634234,0.001000000000000000020816681712,212,EDFSMode.RANDOM
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.670696893366918511780738754169,230.162826776504516601562500000000,3936,96,0.800000000000000044408920985006,0.007482756007809625471705050614,343,EDFSMode.RANDOM
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.515365239294710342221605969826,6.544347286224365234375000000000,2028,1,0.020000000000000000416333634234,0.010000000000000000208166817117,338,EDFSMode.RANDOM
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.671032745591939594476116326405,31.703258275985717773437500000000,2494,1,0.020000000000000000416333634234,0.007821991217941515889267023454,178,EDFSMode.RANDOM
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.720486985726280448893987795600,179.957034349441528320312500000000,4000,100,0.020000000000000000416333634234,0.001000000000000000020816681712,148,EDFSMode.RANDOM
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.623341729638958841341889183241,1216.596452951431274414062500000000,142,100,0.800000000000000044408920985006,0.001000000000000000020816681712,257,EDFSMode.RANDOM
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.705289672544080592508919380634,61.913686513900756835937500000000,3142,1,0.020000000000000000416333634234,0.001000000000000000020816681712,131,EDFSMode.RANDOM
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.606465155331654126591445219674,159.712888002395629882812500000000,40,1,0.800000000000000044408920985006,0.010000000000000000208166817117,100,EDFSMode.RANDOM
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.652560873215785042233960666636,50.948968648910522460937500000000,4000,1,0.448101631344877238127821783564,0.001000000000000000020816681712,344,EDFSMode.RANDOM
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.610915197313182223304295348498,55.077581167221069335937500000000,3096,41,0.020000000000000000416333634234,0.010000000000000000208166817117,192,EDFSMode.RANDOM
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.616708648194794317731748378719,42.455898046493530273437500000000,203,8,0.598682451676932014805743165198,0.001000000000000000020816681712,248,EDFSMode.RANDOM
68,68_0,RUNNING,BoTorch,GenerationStep_1,,,10,100,0.800000000000000044408920985006,0.001000000000000000020816681712,100,EDFSMode.RANDOM
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.685306465155331667737925727124,143.729680538177490234375000000000,4000,100,0.020000000000000000416333634234,0.010000000000000000208166817117,136,EDFSMode.RANDOM
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.679345088161209087473935142043,34.756929159164428710937500000000,2348,1,0.020000000000000000416333634234,0.001000000000000000020816681712,149,EDFSMode.RANDOM
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.580856423173803482207233628287,28.777631044387817382812500000000,2735,55,0.020000000000000000416333634234,0.010000000000000000208166817117,409,EDFSMode.RANDOM
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.659445843828715405621210265963,25.209715843200683593750000000000,2360,1,0.020000000000000000416333634234,0.010000000000000000208166817117,202,EDFSMode.RANDOM
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.687825356842989066308291512541,102.486670017242431640625000000000,1937,1,0.020000000000000000416333634234,0.010000000000000000208166817117,100,EDFSMode.RANDOM
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.644332493702770792154410628427,62.741937398910522460937500000000,1979,1,0.645214781095449829706467426149,0.001000000000000000020816681712,310,EDFSMode.RANDOM
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.679932829554995787901816584053,78.359577178955078125000000000000,3401,1,0.020000000000000000416333634234,0.001000000000000000020816681712,100,EDFSMode.RANDOM
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.605961376994122558059530092578,842.539685249328613281250000000000,72,64,0.717089323879767759351011591207,0.010000000000000000208166817117,269,EDFSMode.RANDOM
77,77_0,RUNNING,BoTorch,GenerationStep_1,,,10,91,0.800000000000000044408920985006,0.001000000000000000020816681712,202,EDFSMode.RANDOM
78,78_0,RUNNING,BoTorch,GenerationStep_1,,,478,71,0.800000000000000044408920985006,0.010000000000000000208166817117,100,EDFSMode.RANDOM
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.566330814441645680190617895278,65.755427598953247070312500000000,10,1,0.558251343195633409344225128734,0.001000000000000000020816681712,169,EDFSMode.RANDOM
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.593534844668345940021936257835,51.460859775543212890625000000000,1590,100,0.020000000000000000416333634234,0.010000000000000000208166817117,397,EDFSMode.RANDOM
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.643912678421494577563066741277,439.884814739227294921875000000000,1642,47,0.800000000000000044408920985006,0.001000000000000000020816681712,313,EDFSMode.RANDOM
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.652308984047019313479154334345,62.740300178527832031250000000000,192,1,0.800000000000000044408920985006,0.001000000000000000020816681712,179,EDFSMode.RANDOM
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.678085642317380332677601018077,72.900548219680786132812500000000,1906,1,0.020000000000000000416333634234,0.001000000000000000020816681712,196,EDFSMode.RANDOM
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.699664147774978983918003905274,298.203913450241088867187500000000,3931,100,0.020000000000000000416333634234,0.001000000000000000020816681712,100,EDFSMode.RANDOM
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.615701091519731291690220587043,284.426579713821411132812500000000,270,100,0.578170969577979421138991256157,0.010000000000000000208166817117,302,EDFSMode.RANDOM
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.659949622166246863130822930543,88.202102184295654296875000000000,3697,64,0.020000000000000000416333634234,0.010000000000000000208166817117,192,EDFSMode.RANDOM
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.654575986565910983294713787473,1764.982577323913574218750000000000,870,100,0.800000000000000044408920985006,0.010000000000000000208166817117,288,EDFSMode.RANDOM
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.560873215785054557436239974777,234.921413421630859375000000000000,10,58,0.551155279047559787386489915662,0.001000000000000000020816681712,299,EDFSMode.RANDOM
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.603358522250209916570895529730,35.741906166076660156250000000000,873,100,0.020000000000000000416333634234,0.001000000000000000020816681712,379,EDFSMode.RANDOM
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.652141057934508827642616779485,52.666574716567993164062500000000,3709,4,0.576346772225521108978796291922,0.009863003264965712960088417560,372,EDFSMode.RANDOM
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.624685138539042839056492084637,141.233539819717407226562500000000,3667,32,0.173323155527166317124709848940,0.001000000000000000020816681712,291,EDFSMode.RANDOM
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.659277917716204919784672711103,83.424420356750488281250000000000,3227,46,0.039711965375659442900602158488,0.004070981437562722592138353406,241,EDFSMode.RANDOM
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.636020151133501299156591812789,350.234981536865234375000000000000,3938,13,0.276345667572333808514883912721,0.009538560599764121794574833757,341,EDFSMode.RANDOM
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.628211586901763263668385661731,39.178639173507690429687500000000,2191,1,0.073634038593436396125113674316,0.001000000000000000020816681712,100,EDFSMode.RANDOM
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.658018471872376164988338587136,132.515320539474487304687500000000,3933,28,0.674781896852116203078253420244,0.001000000000000000020816681712,353,EDFSMode.RANDOM
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.643996641477749820481335518707,36.780284404754638671875000000000,3074,1,0.232213205860278548708919288401,0.001000000000000000020816681712,298,EDFSMode.RANDOM
97,97_0,FAILED,BoTorch,GenerationStep_1,,,29,100,0.528591656920314623135936926701,0.001000000000000000020816681712,100,EDFSMode.RANDOM
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.644500419815281277990948183287,38.286663770675659179687500000000,3261,1,0.438157997052973757767801998853,0.010000000000000000208166817117,340,EDFSMode.RANDOM
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.631066330814441633911826556869,28.096697568893432617187500000000,2809,1,0.578088652378052292313270754676,0.010000000000000000208166817117,372,EDFSMode.RANDOM
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.653400503778337582438950903452,95.763309478759765625000000000000,356,1,0.348314878282933948483446329192,0.010000000000000000208166817117,100,EDFSMode.RANDOM
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.671116708648194837394385103835,144.720334529876708984375000000000,3980,59,0.095809324009231269791975194039,0.001000000000000000020816681712,234,EDFSMode.RANDOM
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.677413937867338389331450798636,85.317021131515502929687500000000,3250,47,0.020000000000000000416333634234,0.001000000000000000020816681712,171,EDFSMode.RANDOM
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.648110831234256945521110537811,52.032256841659545898437500000000,851,1,0.447364725902867799156581440911,0.010000000000000000208166817117,238,EDFSMode.RANDOM
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.645172124265323221337098402728,31.925112724304199218750000000000,2262,1,0.392032280571845637151540131526,0.006709591328530647123817853839,270,EDFSMode.RANDOM
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.619479429051217445056920496427,104.808278799057006835937500000000,60,1,0.230512557138374152287951801554,0.001000000000000000020816681712,100,EDFSMode.RANDOM
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.586565910999160333716417881078,365.374677658081054687500000000000,463,100,0.397762765921579608541236439123,0.010000000000000000208166817117,305,EDFSMode.RANDOM
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.621578505457598629035942394694,103.593113899230957031250000000000,3913,24,0.644342306574477996505834198615,0.010000000000000000208166817117,364,EDFSMode.RANDOM
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.680184718723761516656622916344,65.866604089736938476562500000000,3663,1,0.205567894470852996491316844185,0.001000000000000000020816681712,243,EDFSMode.RANDOM
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.673887489504617964719557221542,159.411534786224365234375000000000,1575,1,0.339951990948160698291502512802,0.001000000000000000020816681712,100,EDFSMode.RANDOM
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.702686817800167951020284817787,120.226681709289550781250000000000,3551,38,0.020000000000000000416333634234,0.001000000000000000020816681712,126,EDFSMode.RANDOM
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.620570948782535714016717065533,63.857031345367431640625000000000,2722,38,0.060965370276088573509021273367,0.006564092955721409668179422425,271,EDFSMode.RANDOM
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.676826196473551688903569356626,56.180753707885742187500000000000,2625,1,0.020000000000000000416333634234,0.001000000000000000020816681712,100,EDFSMode.RANDOM
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.618723761544920258792501499556,73.779644250869750976562500000000,3750,12,0.208924051164764035259935326394,0.001000000000000000020816681712,428,EDFSMode.RANDOM
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.643492863140218251949420391611,575.632761001586914062500000000000,3997,100,0.148675335391380364358226984223,0.001000000000000000020816681712,251,EDFSMode.RANDOM
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.655415617128463523499704024289,103.461743354797363281250000000000,3950,42,0.245396729574508587479186871860,0.001000000000000000020816681712,351,EDFSMode.RANDOM
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.641729638958858150665776065580,259.530244827270507812500000000000,3837,35,0.800000000000000044408920985006,0.010000000000000000208166817117,433,EDFSMode.RANDOM
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.664399664147774959843673059368,73.266617298126220703125000000000,3983,1,0.643977312344253816078776253562,0.001000000000000000020816681712,349,EDFSMode.RANDOM
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.689756507136859764450775855948,195.822555780410766601562500000000,4000,35,0.020000000000000000416333634234,0.001000000000000000020816681712,100,EDFSMode.RANDOM
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.654240134340890011621638677752,41.233546018600463867187500000000,3903,1,0.035571502940067320497341540886,0.001000000000000000020816681712,483,EDFSMode.RANDOM
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.679932829554995787901816584053,94.920825481414794921875000000000,1870,1,0.254882338149098552904092684912,0.001000000000000000020816681712,210,EDFSMode.RANDOM
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.660033585222502106049091707973,63.378972768783569335937500000000,3350,1,0.109890314134624161868103442430,0.001000000000000000020816681712,186,EDFSMode.RANDOM
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.640806045340050367542517051334,99.253271818161010742187500000000,1949,8,0.386867142918725537281687820723,0.001000000000000000020816681712,311,EDFSMode.RANDOM
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.625272879932829539484373526648,21.758798360824584960937500000000,2360,1,0.789034566038775420082629352692,0.001000000000000000020816681712,358,EDFSMode.RANDOM
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.624517212426532353219954529777,105.791363954544067382812500000000,3825,65,0.132782882383275208093564856426,0.001000000000000000020816681712,441,EDFSMode.RANDOM
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.643660789252728848808260408987,148.819255590438842773437500000000,277,1,0.684044936509016765491253408982,0.001000000000000000020816681712,100,EDFSMode.RANDOM
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.636523929471032756666204477369,51.351751327514648437500000000000,2704,1,0.135673096746897592357328221624,0.001000000000000000020816681712,199,EDFSMode.RANDOM
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.670277078085642297189394867019,72.256320238113403320312500000000,2566,1,0.218005180576257590052691170968,0.001000000000000000020816681712,135,EDFSMode.RANDOM
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.680100755667506273738354138914,83.248810052871704101562500000000,3628,1,0.101733624053257684649587133663,0.001000000000000000020816681712,151,EDFSMode.RANDOM
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.667086481947942955272878862161,58.562733411788940429687500000000,1107,1,0.312081127505926425591553652339,0.001000000000000000020816681712,221,EDFSMode.RANDOM
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.623425692695214084260157960671,18.251500368118286132812500000000,2092,1,0.131617895329629891465472724121,0.001000000000000000020816681712,210,EDFSMode.RANDOM
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.595969773299748095674033265823,31.531003475189208984375000000000,2470,1,0.429119637564364886372914043022,0.001000000000000000020816681712,321,EDFSMode.RANDOM
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.606465155331654126591445219674,96.189495563507080078125000000000,3952,100,0.212885618837983792150936324106,0.001000000000000000020816681712,470,EDFSMode.RANDOM
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.592443324937027671062139688729,108.940965414047241210937500000000,2049,34,0.339410636093276152358555464161,0.001000000000000000020816681712,319,EDFSMode.RANDOM
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.557346767422334132824346397683,11.458745956420898437500000000000,2027,1,0.434797242670151296017877484701,0.001000000000000000020816681712,339,EDFSMode.RANDOM
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.639798488664987452523291722173,34.719094514846801757812500000000,2219,1,0.236264695168614952125452077780,0.001000000000000000020816681712,182,EDFSMode.RANDOM
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.685894206549118368165807169134,142.848448038101196289062500000000,3839,1,0.251237657094965538551178951820,0.001000000000000000020816681712,100,EDFSMode.RANDOM
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.602938706968933701979551642580,29.126706361770629882812500000000,159,1,0.091445024654575227107677903859,0.010000000000000000208166817117,151,EDFSMode.RANDOM
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.642737195633921065685001394741,71.720872402191162109375000000000,2310,1,0.221668743592475514514461565341,0.001000000000000000020816681712,100,EDFSMode.RANDOM
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.653568429890848068275488458312,41.616054296493530273437500000000,911,1,0.360437574887796763345448880500,0.001000000000000000020816681712,268,EDFSMode.RANDOM
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.678589420654911790187213682657,163.490445613861083984375000000000,139,1,0.635128518091650051680119304365,0.010000000000000000208166817117,100,EDFSMode.RANDOM
141,141_0,RUNNING,BoTorch,GenerationStep_1,,,95,100,0.546990868772740501668749857345,0.010000000000000000208166817117,100,EDFSMode.RANDOM
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.624433249370277110301685752347,70.429034233093261718750000000000,3944,1,0.748200892084435964513033923140,0.001000000000000000020816681712,322,EDFSMode.RANDOM
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.557766582703610458437992747349,24.548089742660522460937500000000,2251,1,0.800000000000000044408920985006,0.001000000000000000020816681712,408,EDFSMode.RANDOM
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.724517212426532331015494037274,104.255866050720214843750000000000,3904,1,0.077513237373634330529270641819,0.001000000000000000020816681712,111,EDFSMode.RANDOM
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.651805205709487855969541669765,45.214690923690795898437500000000,3607,1,0.114703248403593152660029375056,0.001000000000000000020816681712,321,EDFSMode.RANDOM
146,146_0,RUNNING,BoTorch,GenerationStep_1,,,57,100,0.486711792287029265668962807467,0.001000000000000000020816681712,100,EDFSMode.RANDOM
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.619899244332493659648264383577,1134.619633436203002929687500000000,3996,100,0.800000000000000044408920985006,0.001000000000000000020816681712,408,EDFSMode.RANDOM
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.700755667506297252877800474380,95.154560804367065429687500000000,2992,1,0.273351372667003156280429720937,0.010000000000000000208166817117,120,EDFSMode.RANDOM
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.620990764063811928608060952683,56.205833911895751953125000000000,3869,68,0.124890085359319738533834254213,0.009420448708301042486934484543,447,EDFSMode.RANDOM
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.661964735516372804191576051380,56.008631706237792968750000000000,3897,1,0.066019537782688181293266893590,0.001000000000000000020816681712,272,EDFSMode.RANDOM
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.702099076406381139570100913261,204.686750411987304687500000000000,3444,1,0.800000000000000044408920985006,0.010000000000000000208166817117,100,EDFSMode.RANDOM
152,152_0,FAILED,BoTorch,GenerationStep_1,,,4000,100,0.800000000000000044408920985006,0.001000000000000000020816681712,100,EDFSMode.RANDOM
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.655667506297229252254510356579,40.665336608886718750000000000000,3016,1,0.115694200604588223746382880108,0.010000000000000000208166817117,273,EDFSMode.RANDOM
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.629219143576826178687610990892,66.151383399963378906250000000000,3991,38,0.020000000000000000416333634234,0.001000000000000000020816681712,309,EDFSMode.RANDOM
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.593031066330814482512323593255,60.334826946258544921875000000000,3932,70,0.020000000000000000416333634234,0.001000000000000000020816681712,366,EDFSMode.RANDOM
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.671032745591939594476116326405,57.309612989425659179687500000000,3950,1,0.020000000000000000416333634234,0.010000000000000000208166817117,270,EDFSMode.RANDOM
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.560285474391267857008358532767,13.860717296600341796875000000000,2083,1,0.116725546510911049047365395381,0.001000000000000000020816681712,277,EDFSMode.RANDOM
158,158_0,FAILED,BoTorch,GenerationStep_1,,,3786,100,0.669438754985026363009126271209,0.010000000000000000208166817117,100,EDFSMode.RANDOM
159,159_0,FAILED,BoTorch,GenerationStep_1,,,2475,58,0.800000000000000044408920985006,0.009611900981284903638934835612,100,EDFSMode.RANDOM
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.708144416456759073774662738288,204.225944995880126953125000000000,4000,1,0.642426989893907007811435505573,0.001000000000000000020816681712,100,EDFSMode.RANDOM
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.659781696053736377294285375683,59.472767353057861328125000000000,4000,1,0.065564325605769538385381167700,0.001000000000000000020816681712,250,EDFSMode.RANDOM
162,162_0,FAILED,BoTorch,GenerationStep_1,,,2074,100,0.551161786644356888054119281151,0.001000000000000000020816681712,100,EDFSMode.RANDOM
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.624601175482787596138223307207,48.786572933197021484375000000000,4000,1,0.608869404555663740197246625030,0.001000000000000000020816681712,456,EDFSMode.RANDOM
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.543240973971452545399074551824,28.675727844238281250000000000000,10,1,0.317995898068617111054123824943,0.010000000000000000208166817117,174,EDFSMode.RANDOM
165,165_0,FAILED,BoTorch,GenerationStep_1,,,3967,51,0.800000000000000044408920985006,0.001000000000000000020816681712,100,EDFSMode.RANDOM
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.635684298908480216461214240553,441.913862943649291992187500000000,4000,100,0.595501220325036828562303981016,0.001000000000000000020816681712,340,EDFSMode.RANDOM
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.678421494542401304350676127797,292.335532188415527343750000000000,4000,1,0.800000000000000044408920985006,0.010000000000000000208166817117,100,EDFSMode.RANDOM
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.610831234256926980386026571068,56.002582073211669921875000000000,4000,1,0.314356900993805643551581852080,0.001000000000000000020816681712,476,EDFSMode.RANDOM
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.639042821158690155236570262787,265.169612646102905273437500000000,4000,44,0.470598274685704698327981532202,0.001000000000000000020816681712,282,EDFSMode.RANDOM
170,170_0,FAILED,BoTorch,GenerationStep_1,,,3964,51,0.667873508068799526249392783939,0.010000000000000000208166817117,100,EDFSMode.RANDOM
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.604282115869017588671852081461,98.709640979766845703125000000000,66,1,0.736749661072310657594641725154,0.001000000000000000020816681712,144,EDFSMode.RANDOM
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.693031066330814460307863100752,173.372751474380493164062500000000,4000,1,0.532353314929977172731412338180,0.010000000000000000208166817117,100,EDFSMode.RANDOM
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.691267842149454248001916312205,115.322846412658691406250000000000,3982,27,0.020000000000000000416333634234,0.010000000000000000208166817117,164,EDFSMode.RANDOM
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.630562552476910176402213892288,56.203490495681762695312500000000,4000,1,0.531813194938004274447962416161,0.010000000000000000208166817117,313,EDFSMode.RANDOM
175,175_0,FAILED,BoTorch,GenerationStep_1,,,457,100,0.800000000000000044408920985006,0.001000000000000000020816681712,133,EDFSMode.RANDOM
176,176_0,FAILED,BoTorch,GenerationStep_1,,,1326,100,0.800000000000000044408920985006,0.001000000000000000020816681712,100,EDFSMode.RANDOM
177,177_0,FAILED,BoTorch,GenerationStep_1,,,3376,100,0.463936282748155404132006651707,0.009816914701145788499370148372,100,EDFSMode.RANDOM
178,178_0,FAILED,BoTorch,GenerationStep_1,,,620,100,0.681070963219706282387733153882,0.010000000000000000208166817117,100,EDFSMode.RANDOM
179,179_0,FAILED,BoTorch,GenerationStep_1,,,3444,100,0.800000000000000044408920985006,0.010000000000000000208166817117,100,EDFSMode.RANDOM
180,152_0,FAILED,BoTorch,GenerationStep_1,,,4000,100,0.800000000000000044408920985006,0.001000000000000000020816681712,100,EDFSMode.RANDOM
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.633417296389588546645654787426,629.937113523483276367187500000000,3867,72,0.800000000000000044408920985006,0.010000000000000000208166817117,311,EDFSMode.RANDOM
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.637951301427371997299076156196,99.952877521514892578125000000000,4000,66,0.320717090287895301159437622118,0.001000000000000000020816681712,335,EDFSMode.RANDOM
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.663140218303946316069641397917,63.340227127075195312500000000000,2892,52,0.096303099624913457432739960495,0.001000000000000000020816681712,338,EDFSMode.RANDOM
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.644164567590260306317873073567,844.822933912277221679687500000000,4000,100,0.800000000000000044408920985006,0.010000000000000000208166817117,283,EDFSMode.RANDOM
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.637363560033585185848892251670,514.868154525756835937500000000000,4000,73,0.800000000000000044408920985006,0.010000000000000000208166817117,309,EDFSMode.RANDOM
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.659949622166246863130822930543,662.929072856903076171875000000000,4000,100,0.800000000000000044408920985006,0.001000000000000000020816681712,265,EDFSMode.RANDOM
187,187_0,FAILED,BoTorch,GenerationStep_1,,,1976,100,0.800000000000000044408920985006,0.001000000000000000020816681712,100,EDFSMode.RANDOM
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.648026868178001702602841760381,151.581939935684204101562500000000,2421,1,0.641793508235604659439843544533,0.010000000000000000208166817117,100,EDFSMode.RANDOM
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.646515533165407219051701304124,193.202296972274780273437500000000,4000,36,0.507411748576084620232506949833,0.001000000000000000020816681712,458,EDFSMode.RANDOM
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.677413937867338389331450798636,104.596439123153686523437500000000,2699,19,0.020000000000000000416333634234,0.001000000000000000020816681712,100,EDFSMode.RANDOM
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.652476910159529799315691889205,587.461439132690429687500000000000,4000,67,0.800000000000000044408920985006,0.001000000000000000020816681712,318,EDFSMode.RANDOM
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.664651553316540688598479391658,259.923177719116210937500000000000,1753,1,0.800000000000000044408920985006,0.001000000000000000020816681712,100,EDFSMode.RANDOM
193,193_0,FAILED,BoTorch,GenerationStep_1,,,10,39,0.473115857024724639767754297281,0.001000000000000000020816681712,100,EDFSMode.RANDOM
194,194_0,FAILED,BoTorch,GenerationStep_1,,,2155,100,0.669333559796062682600847892900,0.010000000000000000208166817117,100,EDFSMode.RANDOM
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.629974811083123475974332450278,200.598483800888061523437500000000,4000,61,0.800000000000000044408920985006,0.010000000000000000208166817117,330,EDFSMode.RANDOM
196,196_0,FAILED,BoTorch,GenerationStep_1,,,10,100,0.533599809645720957185233146447,0.001764798069733808502310146160,169,EDFSMode.RANDOM
197,197_0,FAILED,BoTorch,GenerationStep_1,,,177,48,0.800000000000000044408920985006,0.010000000000000000208166817117,100,EDFSMode.RANDOM
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.658606213266162865416220029147,91.525686740875244140625000000000,4000,1,0.407499536207980461721689380283,0.001000000000000000020816681712,211,EDFSMode.RANDOM
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.609319899244332496834886114812,113.482214689254760742187500000000,4000,65,0.498249117806959518350851112700,0.010000000000000000208166817117,536,EDFSMode.RANDOM
200,200_0,FAILED,BoTorch,GenerationStep_1,,,514,100,0.674407139725215931669310975849,0.001000000000000000020816681712,100,EDFSMode.RANDOM
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.687489504617968094635216402821,94.583646297454833984375000000000,3034,1,0.119828788324127133435581527010,0.010000000000000000208166817117,100,EDFSMode.RANDOM
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.596389588581024310265377152973,27.256609201431274414062500000000,2354,69,0.020000000000000000416333634234,0.010000000000000000208166817117,321,EDFSMode.RANDOM
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.599328295549958034449389288056,53.691279172897338867187500000000,3845,1,0.020000000000000000416333634234,0.001000000000000000020816681712,398,EDFSMode.RANDOM
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.554240134340890033826099170255,22.639405488967895507812500000000,2205,100,0.020000000000000000416333634234,0.010000000000000000208166817117,286,EDFSMode.RANDOM
205,205_0,FAILED,BoTorch,GenerationStep_1,,,976,44,0.800000000000000044408920985006,0.001000000000000000020816681712,100,EDFSMode.RANDOM
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.610747271200671737467757793638,62.799907445907592773437500000000,4000,34,0.137478950359258084157332291397,0.010000000000000000208166817117,534,EDFSMode.RANDOM
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.699748110831234226836272682704,147.767953872680664062500000000000,4000,1,0.020000000000000000416333634234,0.010000000000000000208166817117,100,EDFSMode.RANDOM
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.621746431570109114872479949554,92.964910268783569335937500000000,3363,55,0.088949182724685049716839557732,0.010000000000000000208166817117,326,EDFSMode.RANDOM
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.644920235096557492582292070438,149.172315120697021484375000000000,4000,80,0.020000000000000000416333634234,0.010000000000000000208166817117,185,EDFSMode.RANDOM
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.614609571788413133752726480452,71.418565273284912109375000000000,4000,1,0.800000000000000044408920985006,0.001000000000000000020816681712,470,EDFSMode.RANDOM
211,211_0,FAILED,BoTorch,GenerationStep_1,,,3644,100,0.800000000000000044408920985006,0.001000000000000000020816681712,100,EDFSMode.RANDOM
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.679429051217464330392203919473,82.576871395111083984375000000000,3945,1,0.398968773014190536407852505363,0.001000000000000000020816681712,246,EDFSMode.RANDOM
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.628211586901763263668385661731,117.931986093521118164062500000000,2308,21,0.800000000000000044408920985006,0.010000000000000000208166817117,341,EDFSMode.RANDOM
214,214_0,FAILED,BoTorch,GenerationStep_1,,,2329,100,0.642206806562961918238841008133,0.002330108324371867045687878317,100,EDFSMode.RANDOM
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.629387069689336664524148545752,87.171283006668090820312500000000,3404,100,0.020000000000000000416333634234,0.001000000000000000020816681712,332,EDFSMode.RANDOM
216,216_0,FAILED,BoTorch,GenerationStep_1,,,3732,60,0.660947170270056560958948921325,0.010000000000000000208166817117,100,EDFSMode.RANDOM
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.643324937027707766112882836751,41.550543069839477539062500000000,3869,100,0.020000000000000000416333634234,0.001000000000000000020816681712,490,EDFSMode.RANDOM
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.582199832073887479921836529684,75.437464237213134765625000000000,3971,72,0.291428520225467835302879393566,0.001000000000000000020816681712,571,EDFSMode.RANDOM
219,219_0,FAILED,BoTorch,GenerationStep_1,,,3945,74,0.800000000000000044408920985006,0.001000000000000000020816681712,100,EDFSMode.RANDOM
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.676238455079764877453385452100,84.592004299163818359375000000000,3983,1,0.241841180271535144408190376453,0.010000000000000000208166817117,205,EDFSMode.RANDOM
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.653148614609571742661842108646,80.987853765487670898437500000000,1886,100,0.020000000000000000416333634234,0.010000000000000000208166817117,227,EDFSMode.RANDOM
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.622250209907640683404395076650,56.023964405059814453125000000000,4000,58,0.020000000000000000416333634234,0.001000000000000000020816681712,485,EDFSMode.RANDOM
223,223_0,FAILED,BoTorch,GenerationStep_1,,,1872,100,0.800000000000000044408920985006,0.001000000000000000020816681712,100,EDFSMode.RANDOM
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.616624685138539074813479601289,49.850789785385131835937500000000,4000,1,0.770532121495497879237746019498,0.001000000000000000020816681712,505,EDFSMode.RANDOM
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.663224181360201558987910175347,138.204465866088867187500000000000,3335,20,0.800000000000000044408920985006,0.010000000000000000208166817117,340,EDFSMode.RANDOM
226,226_0,FAILED,BoTorch,GenerationStep_1,,,2585,90,0.736930710204478867098032424110,0.010000000000000000208166817117,100,EDFSMode.RANDOM
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.617548278757346746914436153020,76.994661092758178710937500000000,3520,43,0.375058371230815701391492211769,0.001000000000000000020816681712,387,EDFSMode.RANDOM
228,228_0,FAILED,BoTorch,GenerationStep_1,,,1441,59,0.800000000000000044408920985006,0.010000000000000000208166817117,100,EDFSMode.RANDOM
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.573551637279597015250942604325,148.820791959762573242187500000000,3875,75,0.800000000000000044408920985006,0.010000000000000000208166817117,543,EDFSMode.RANDOM
230,230_0,FAILED,BoTorch,GenerationStep_1,,,3304,100,0.516771206712140940275901357381,0.010000000000000000208166817117,100,EDFSMode.RANDOM
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.646011754827875761542088639544,55.148673534393310546875000000000,3732,1,0.440470106823578400057073167773,0.001000000000000000020816681712,413,EDFSMode.RANDOM
232,232_0,FAILED,BoTorch,GenerationStep_1,,,1705,100,0.800000000000000044408920985006,0.001000000000000000020816681712,129,EDFSMode.RANDOM
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.640386230058774152951173164183,49.559360742568969726562500000000,2653,1,0.800000000000000044408920985006,0.001000000000000000020816681712,276,EDFSMode.RANDOM
234,234_0,FAILED,BoTorch,GenerationStep_1,,,3664,66,0.800000000000000044408920985006,0.010000000000000000208166817117,100,EDFSMode.RANDOM
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.614273719563392162079651370732,37.420644044876098632812500000000,4000,1,0.524636605635248609580401080166,0.001000000000000000020816681712,505,EDFSMode.RANDOM
236,236_0,FAILED,BoTorch,GenerationStep_1,,,2201,51,0.611356658143303532959578205919,0.001000000000000000020816681712,100,EDFSMode.RANDOM
237,237_0,FAILED,BoTorch,GenerationStep_1,,,4000,100,0.800000000000000044408920985006,0.010000000000000000208166817117,100,EDFSMode.RANDOM
238,238_0,FAILED,BoTorch,GenerationStep_1,,,1790,100,0.800000000000000044408920985006,0.010000000000000000208166817117,100,EDFSMode.RANDOM
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.673467674223341750128213334392,130.625051021575927734375000000000,3985,1,0.362271169160815198484471011398,0.010000000000000000208166817117,243,EDFSMode.RANDOM
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.662804366078925233374263825681,75.091101169586181640625000000000,1994,1,0.136345739965707674068440269366,0.010000000000000000208166817117,238,EDFSMode.RANDOM
241,241_0,RUNNING,BoTorch,GenerationStep_1,,,2371,1,0.158090042811659559074399794554,0.010000000000000000208166817117,193,EDFSMode.RANDOM
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.605205709487825371795111095707,32.827357053756713867187500000000,2450,1,0.524530542104151620286245361058,0.007265863639056076295208441707,325,EDFSMode.RANDOM
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.666750629722921872577501289925,89.993971347808837890625000000000,3763,44,0.020000000000000000416333634234,0.006388930561393399779057666876,226,EDFSMode.RANDOM
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.605709487825356829304723760288,182.634348154067993164062500000000,3382,84,0.628747019552289287958046770655,0.010000000000000000208166817117,369,EDFSMode.RANDOM
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.634928631402183030196795243683,171.546880006790161132812500000000,3917,83,0.679553788892943155808268329565,0.010000000000000000208166817117,375,EDFSMode.RANDOM
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.639294710327455883991376595077,77.443823814392089843750000000000,1431,1,0.800000000000000044408920985006,0.001000000000000000020816681712,281,EDFSMode.RANDOM
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.668933669185558299474791965622,89.943953514099121093750000000000,3698,63,0.020000000000000000416333634234,0.004053638622540416819317599106,195,EDFSMode.RANDOM
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.565407220822837897067358881031,32.468690872192382812500000000000,12,1,0.800000000000000044408920985006,0.001000000000000000020816681712,251,EDFSMode.RANDOM
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.573467674223341772332673826895,28.187641620635986328125000000000,3108,1,0.020000000000000000416333634234,0.010000000000000000208166817117,431,EDFSMode.RANDOM
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.699160369437447526408391240693,83.553790807723999023437500000000,3913,64,0.020000000000000000416333634234,0.002529098272951171236938572306,187,EDFSMode.RANDOM
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.570025188916876590639049027232,98.825842380523681640625000000000,3699,46,0.713568815202746953296752963070,0.001000000000000000020816681712,535,EDFSMode.RANDOM
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.667002518891687712354610084731,98.494821071624755859375000000000,3454,1,0.422364183789761149512287374819,0.010000000000000000208166817117,174,EDFSMode.RANDOM
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.639882451721242695441560499603,71.816583871841430664062500000000,1759,1,0.137822644796396248656478178418,0.006934345058963346970781760348,238,EDFSMode.RANDOM
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.647271200671704405316120300995,43.392412185668945312500000000000,3866,1,0.020000000000000000416333634234,0.009892348381176137989134744544,455,EDFSMode.RANDOM
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.689420654911838792777700746228,57.202946424484252929687500000000,2474,1,0.135248550834694614142250657096,0.005098341304511264451826413335,100,EDFSMode.RANDOM
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.671368597816960566149191436125,53.525337219238281250000000000000,3332,1,0.103969325169682103027213315727,0.006739923639558289235329535671,226,EDFSMode.RANDOM
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.564399664147774982048133551871,39.838997840881347656250000000000,3777,5,0.385272466493151832800378997490,0.010000000000000000208166817117,538,EDFSMode.RANDOM
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.659781696053736377294285375683,62.284856796264648437500000000000,2520,1,0.626510949578528486547668308049,0.001000000000000000020816681712,208,EDFSMode.RANDOM
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.606129303106633043896067647438,52.893214225769042968750000000000,3933,100,0.020000000000000000416333634234,0.010000000000000000208166817117,336,EDFSMode.RANDOM
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.679513014273719573310472696903,97.916865825653076171875000000000,3730,1,0.020000000000000000416333634234,0.004749525348084579490226531107,113,EDFSMode.RANDOM
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.638371116708648211890420043346,100.179716825485229492187500000000,1927,31,0.513654529699492434779983796034,0.010000000000000000208166817117,319,EDFSMode.RANDOM
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.687153652392947122962141293101,74.929294109344482421875000000000,3986,1,0.085873243610443641959939498065,0.006316876839408267635400662243,186,EDFSMode.RANDOM
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.619899244332493659648264383577,55.020506143569946289062500000000,3602,1,0.538168865586768574438281120820,0.005665238904212982658237240940,331,EDFSMode.RANDOM
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.579261125104953866760126857116,56.804620504379272460937500000000,3965,41,0.078640212111118615312399526829,0.001477094306310249710589843630,578,EDFSMode.RANDOM
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.636104114189756542074860590219,37.821070194244384765625000000000,3881,1,0.442048599114089335593291707482,0.009979327281195741680686062125,490,EDFSMode.RANDOM
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.607136859781696069937595439114,44.556932926177978515625000000000,3968,24,0.172064453508540105008961518251,0.001000000000000000020816681712,567,EDFSMode.RANDOM
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.647607052896725488011497873231,185.123642206192016601562500000000,3924,100,0.635956257756179921258876674983,0.010000000000000000208166817117,358,EDFSMode.RANDOM
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.670528967254408025944201199309,67.416145324707031250000000000000,3951,28,0.020000000000000000416333634234,0.010000000000000000208166817117,245,EDFSMode.RANDOM
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.681024349286314056861613153160,116.334513187408447265625000000000,4000,1,0.020000000000000000416333634234,0.001000000000000000020816681712,100,EDFSMode.RANDOM
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.664903442485306417353285723948,98.999368906021118164062500000000,1988,1,0.543786347888434384856282122200,0.001000000000000000020816681712,226,EDFSMode.RANDOM
271,271_0,FAILED,BoTorch,GenerationStep_1,,,3062,100,0.800000000000000044408920985006,0.001000000000000000020816681712,100,EDFSMode.RANDOM
272,272_0,FAILED,BoTorch,GenerationStep_1,,,1478,100,0.635970264934420215219290639652,0.001000000000000000020816681712,100,EDFSMode.RANDOM
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.669269521410579382170169537858,66.525895833969116210937500000000,818,1,0.635394787058740084795260827377,0.001000000000000000020816681712,213,EDFSMode.RANDOM
274,274_0,FAILED,BoTorch,GenerationStep_1,,,3396,100,0.800000000000000044408920985006,0.010000000000000000208166817117,100,EDFSMode.RANDOM
275,275_0,FAILED,BoTorch,GenerationStep_1,,,3589,60,0.800000000000000044408920985006,0.010000000000000000208166817117,100,EDFSMode.RANDOM
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.616372795969773346058673268999,45.481448650360107421875000000000,3599,30,0.020000000000000000416333634234,0.001000000000000000020816681712,390,EDFSMode.RANDOM
277,277_0,FAILED,BoTorch,GenerationStep_1,,,2978,100,0.800000000000000044408920985006,0.001000000000000000020816681712,175,EDFSMode.RANDOM
278,278_0,FAILED,BoTorch,GenerationStep_1,,,3824,71,0.800000000000000044408920985006,0.001000000000000000020816681712,100,EDFSMode.RANDOM
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.607976490344248499120283213415,46.855674028396606445312500000000,112,1,0.665397206708126187635343740112,0.001000000000000000020816681712,209,EDFSMode.RANDOM
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.660537363560033563558704372554,59.522832870483398437500000000000,3333,1,0.585533701468262335332326529169,0.001000000000000000020816681712,246,EDFSMode.RANDOM
281,281_0,FAILED,BoTorch,GenerationStep_1,,,2399,100,0.666047918874389965893101361871,0.010000000000000000208166817117,100,EDFSMode.RANDOM
282,282_0,FAILED,BoTorch,GenerationStep_1,,,1241,100,0.800000000000000044408920985006,0.001000000000000000020816681712,143,EDFSMode.RANDOM
283,283_0,FAILED,BoTorch,GenerationStep_1,,,3365,100,0.585473481203197199107535197982,0.001000000000000000020816681712,100,EDFSMode.RANDOM
284,152_0,FAILED,BoTorch,GenerationStep_1,,,4000,100,0.800000000000000044408920985006,0.001000000000000000020816681712,100,EDFSMode.RANDOM
285,285_0,FAILED,BoTorch,GenerationStep_1,,,1640,68,0.800000000000000044408920985006,0.010000000000000000208166817117,100,EDFSMode.RANDOM
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.620151133501259499425373178383,54.013059616088867187500000000000,3774,1,0.712520728486837340298620802059,0.001000000000000000020816681712,402,EDFSMode.RANDOM
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.643660789252728848808260408987,108.072468519210815429687500000000,3783,100,0.138658262215970967679012915141,0.001000000000000000020816681712,379,EDFSMode.RANDOM
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.700671704450042009959531696950,77.435569286346435546875000000000,1535,16,0.020000000000000000416333634234,0.010000000000000000208166817117,174,EDFSMode.RANDOM
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.642569269521410579848463839880,71.613807916641235351562500000000,1741,77,0.020000000000000000416333634234,0.001000000000000000020816681712,268,EDFSMode.RANDOM
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.707976490344248476915822720912,115.933720350265502929687500000000,3748,1,0.347884540963816768499583531593,0.001000000000000000020816681712,153,EDFSMode.RANDOM
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.652225020990764070560885556915,43.832841634750366210937500000000,3014,9,0.020000000000000000416333634234,0.001000000000000000020816681712,311,EDFSMode.RANDOM
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.633081444164567574972579677706,78.855168819427490234375000000000,3930,100,0.114039997724257491373833772741,0.010000000000000000208166817117,381,EDFSMode.RANDOM
293,293_0,FAILED,BoTorch,GenerationStep_1,,,3428,100,0.745273369290683107557526909659,0.001000000000000000020816681712,100,EDFSMode.RANDOM
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.656759026028547410192004463170,60.499017000198364257812500000000,3958,1,0.020000000000000000416333634234,0.010000000000000000208166817117,315,EDFSMode.RANDOM
295,295_0,FAILED,BoTorch,GenerationStep_1,,,2617,100,0.800000000000000044408920985006,0.001467709764288195649697965628,100,EDFSMode.RANDOM
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.680520570948782488329698026064,117.850020170211791992187500000000,3417,1,0.549466587849388288233853927522,0.001000000000000000020816681712,156,EDFSMode.RANDOM
297,297_0,FAILED,BoTorch,GenerationStep_1,,,217,100,0.800000000000000044408920985006,0.010000000000000000208166817117,100,EDFSMode.RANDOM
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.645759865659110032787282307254,50.607699871063232421875000000000,2335,1,0.244803276491048743546130594950,0.010000000000000000208166817117,161,EDFSMode.RANDOM
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.576238455079764899657845944603,53.686225414276123046875000000000,3988,26,0.139150339915111692645766083842,0.010000000000000000208166817117,468,EDFSMode.RANDOM
</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 3299214 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3299214/3299214_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3299214 ON i7078 CANCELLED AT 2025-03-19T18:50:38 DUE TO TIME LIMIT ***



⚠ Job 3299794 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3299794/3299794_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3299794 ON i7091 CANCELLED AT 2025-03-19T18:56:08 DUE TO TIME LIMIT ***



⚠ Job 3314487 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3314487/3314487_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3314487 ON i7040 CANCELLED AT 2025-03-19T19:41:38 DUE TO TIME LIMIT ***



⚠ Job 3314517 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3314517/3314517_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3314517 ON i7152 CANCELLED AT 2025-03-19T19:42:08 DUE TO TIME LIMIT ***



⚠ Job 3314586 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3314586/3314586_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3314586 ON i7090 CANCELLED AT 2025-03-19T19:42:08 DUE TO TIME LIMIT ***



⚠ Job 3314659 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3314659/3314659_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3314659 ON i7152 CANCELLED AT 2025-03-19T19:42:39 DUE TO TIME LIMIT ***



⚠ Job 3329275 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3329275/3329275_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3329275 ON i7146 CANCELLED AT 2025-03-19T21:33:12 DUE TO TIME LIMIT ***



⚠ Job 3347445 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3347445/3347445_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3347445 ON i7164 CANCELLED AT 2025-03-20T01:19:21 DUE TO TIME LIMIT ***



⚠ Job 3347474 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3347474/3347474_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3347474 ON i7163 CANCELLED AT 2025-03-20T01:19:51 DUE TO TIME LIMIT ***



⚠ Job 3347477 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3347477/3347477_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3347477 ON i7163 CANCELLED AT 2025-03-20T01:19:51 DUE TO TIME LIMIT ***



⚠ Job 3347489 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3347489/3347489_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3347489 ON i7156 CANCELLED AT 2025-03-20T01:19:51 DUE TO TIME LIMIT ***



⚠ Job 3347502 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3347502/3347502_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3347502 ON i7164 CANCELLED AT 2025-03-20T01:19:51 DUE TO TIME LIMIT ***



⚠ Job 3347520 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3347520/3347520_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3347520 ON i7161 CANCELLED AT 2025-03-20T01:20:21 DUE TO TIME LIMIT ***



⚠ Job 3347531 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3347531/3347531_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3347531 ON i7186 CANCELLED AT 2025-03-20T01:20:21 DUE TO TIME LIMIT ***



⚠ Job 3347534 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3347534/3347534_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3347534 ON i7171 CANCELLED AT 2025-03-20T01:20:21 DUE TO TIME LIMIT ***



⚠ Job 3347536 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3347536/3347536_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3347536 ON i7169 CANCELLED AT 2025-03-20T01:20:21 DUE TO TIME LIMIT ***



⚠ Job 3347538 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3347538/3347538_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3347538 ON i7165 CANCELLED AT 2025-03-20T01:20:21 DUE TO TIME LIMIT ***



⚠ Job 3347541 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3347541/3347541_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3347541 ON i7163 CANCELLED AT 2025-03-20T01:20:21 DUE TO TIME LIMIT ***



⚠ Job 3356390 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3356390/3356390_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3356390 ON i7184 CANCELLED AT 2025-03-20T05:10:29 DUE TO TIME LIMIT ***



⚠ Job 3356397 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3356397/3356397_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3356397 ON i7180 CANCELLED AT 2025-03-20T05:10:59 DUE TO TIME LIMIT ***



⚠ Job 3356404 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3356404/3356404_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3356404 ON i7178 CANCELLED AT 2025-03-20T05:11:29 DUE TO TIME LIMIT ***



⚠ Job 3356407 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3356407/3356407_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3356407 ON i7178 CANCELLED AT 2025-03-20T05:11:30 DUE TO TIME LIMIT ***



⚠ Job 3356412 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3356412/3356412_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3356412 ON i7176 CANCELLED AT 2025-03-20T05:11:29 DUE TO TIME LIMIT ***



⚠ Job 3356414 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3356414/3356414_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3356414 ON i7176 CANCELLED AT 2025-03-20T05:11:29 DUE TO TIME LIMIT ***



⚠ Job 3356424 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3356424/3356424_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3356424 ON i7172 CANCELLED AT 2025-03-20T05:11:29 DUE TO TIME LIMIT ***



⚠ Job 3356442 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3356442/3356442_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3356442 ON i7171 CANCELLED AT 2025-03-20T05:11:59 DUE TO TIME LIMIT ***



⚠ Job 3361991 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3361991/3361991_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3361991 ON i7185 CANCELLED AT 2025-03-20T08:36:32 DUE TO TIME LIMIT ***



⚠ Job 3361997 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3361997/3361997_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3361997 ON i7184 CANCELLED AT 2025-03-20T08:36:32 DUE TO TIME LIMIT ***



⚠ Job 3362001 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3362001/3362001_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3362001 ON i7183 CANCELLED AT 2025-03-20T08:36:32 DUE TO TIME LIMIT ***



⚠ Job 3362009 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3362009/3362009_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3362009 ON i7183 CANCELLED AT 2025-03-20T08:36:32 DUE TO TIME LIMIT ***



⚠ Job 3362018 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3362018/3362018_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3362018 ON i7180 CANCELLED AT 2025-03-20T08:37:02 DUE TO TIME LIMIT ***



⚠ Job 3362024 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3362024/3362024_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3362024 ON i7179 CANCELLED AT 2025-03-20T08:37:02 DUE TO TIME LIMIT ***



⚠ Job 3362028 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3362028/3362028_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3362028 ON i7178 CANCELLED AT 2025-03-20T08:37:02 DUE TO TIME LIMIT ***



⚠ Job 3362033 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3362033/3362033_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3362033 ON i7176 CANCELLED AT 2025-03-20T08:37:02 DUE TO TIME LIMIT ***



⚠ Job 3362038 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3362038/3362038_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3362038 ON i7182 CANCELLED AT 2025-03-20T08:37:32 DUE TO TIME LIMIT ***



⚠ Job 3362042 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3362042/3362042_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3362042 ON i7182 CANCELLED AT 2025-03-20T08:37:32 DUE TO TIME LIMIT ***



⚠ Job 3362047 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3362047/3362047_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3362047 ON i7176 CANCELLED AT 2025-03-20T08:37:32 DUE TO TIME LIMIT ***



⚠ Job 3362050 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3362050/3362050_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3362050 ON i7176 CANCELLED AT 2025-03-20T08:37:32 DUE TO TIME LIMIT ***



⚠ Job 3362052 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3362052/3362052_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3362052 ON i7175 CANCELLED AT 2025-03-20T08:37:32 DUE TO TIME LIMIT ***



⚠ Job 3371274 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3371274/3371274_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3371274 ON i7184 CANCELLED AT 2025-03-20T14:44:10 DUE TO TIME LIMIT ***



⚠ Job 3371275 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3371275/3371275_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3371275 ON i7184 CANCELLED AT 2025-03-20T14:44:10 DUE TO TIME LIMIT ***



⚠ Job 3371277 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3371277/3371277_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3371277 ON i7184 CANCELLED AT 2025-03-20T14:44:10 DUE TO TIME LIMIT ***



⚠ Job 3371278 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3371278/3371278_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3371278 ON i7184 CANCELLED AT 2025-03-20T14:44:11 DUE TO TIME LIMIT ***



⚠ Job 3371280 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3371280/3371280_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3371280 ON i7186 CANCELLED AT 2025-03-20T14:44:40 DUE TO TIME LIMIT ***



⚠ Job 3371281 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3371281/3371281_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3371281 ON i7184 CANCELLED AT 2025-03-20T14:44:40 DUE TO TIME LIMIT ***



⚠ Job 3371284 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3371284/3371284_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3371284 ON i7183 CANCELLED AT 2025-03-20T14:44:40 DUE TO TIME LIMIT ***



⚠ Job 3371285 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3371285/3371285_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3371285 ON i7183 CANCELLED AT 2025-03-20T14:44:40 DUE TO TIME LIMIT ***



⚠ Job 3371286 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3371286/3371286_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3371286 ON i7183 CANCELLED AT 2025-03-20T14:44:40 DUE TO TIME LIMIT ***



⚠ Job 3371287 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3371287/3371287_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3371287 ON i7183 CANCELLED AT 2025-03-20T14:44:40 DUE TO TIME LIMIT ***



⚠ Job 3371288 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3371288/3371288_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3371288 ON i7183 CANCELLED AT 2025-03-20T14:44:40 DUE TO TIME LIMIT ***



⚠ Job 3371296 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3371296/3371296_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3371296 ON i7182 CANCELLED AT 2025-03-20T14:45:10 DUE TO TIME LIMIT ***



⚠ Job 3371298 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3371298/3371298_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3371298 ON i7182 CANCELLED AT 2025-03-20T14:45:10 DUE TO TIME LIMIT ***



⚠ Job 3371300 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME/0/single_runs/3371300/3371300_0_result.pkl
has not produced any output (state: TIMEOUT)
Error stream produced:
----------------------------------------
slurmstepd: error: *** JOB 3371300 ON i7184 CANCELLED AT 2025-03-20T14:45:40 DUE TO TIME LIMIT ***


</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
			
			<h1>&nbsp;Args Overview</h1>
			<h2>Arguments Overview:                                                                                           </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value                                                                                                                                                    </th></tr></thead><tbody><tr><td> config_yaml</td><td>None                                                                                                                                                     </td></tr><tr><td> config_toml</td><td>None                                                                                                                                                     </td></tr><tr><td> config_json</td><td>None                                                                                                                                                     </td></tr><tr><td> num_random_steps</td><td>20                                                                                                                                                       </td></tr><tr><td> max_eval</td><td>500                                                                                                                                                      </td></tr><tr><td> run_program</td><td>[[&#039;bW9kdWxlIGxvYWQgR0NDY29yZS8xMC4zLjAgUHl0aG9uICYmIHNvdXJjZSAvZGF0YS9ob3JzZS93cy9zNDEyMjQ4NS1jb21wUGVyZkREL2JlbmNobWFyay92ZW52L2Jpbi9hY3RpdmF0ZSAmJiBw&hellip; </td></tr><tr><td> experiment_name</td><td>EDFS_GasSensor_HoeffdingTreeClassifier_ACC-RUNTIME                                                                                                       </td></tr><tr><td> mem_gb</td><td>32                                                                                                                                                       </td></tr><tr><td> parameter</td><td>[[&#039;recent_samples_size&#039;, &#039;range&#039;, &#039;10&#039;, &#039;4000&#039;, &#039;int&#039;], [&#039;n_subspaces&#039;, &#039;range&#039;, &#039;1&#039;, &#039;100&#039;, &#039;int&#039;], [&#039;feature_percentage&#039;, &#039;range&#039;, &#039;0.02&#039;, &#039;0.8&#039;,      </td></tr><tr><td></td><td>&#039;float&#039;], [&#039;alpha&#039;, &#039;range&#039;, &#039;0.001&#039;, &#039;0.01&#039;, &#039;float&#039;], [&#039;window_size&#039;, &#039;range&#039;, &#039;100&#039;, &#039;1000&#039;, &#039;int&#039;], [&#039;mode&#039;, &#039;choice&#039;, &#039;EDFSMode.RANDOM&#039;]]           </td></tr><tr><td> continue_previous_job</td><td>None                                                                                                                                                     </td></tr><tr><td> maximize</td><td>False                                                                                                                                                    </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                                                     </td></tr><tr><td> stderr_to_stdout</td><td>False                                                                                                                                                    </td></tr><tr><td> run_dir</td><td>runs                                                                                                                                                     </td></tr><tr><td> seed</td><td>None                                                                                                                                                     </td></tr><tr><td> decimalrounding</td><td>12                                                                                                                                                       </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                                                    </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                                                    </td></tr><tr><td> model</td><td>BOTORCH_MODULAR                                                                                                                                          </td></tr><tr><td> gridsearch</td><td>False                                                                                                                                                    </td></tr><tr><td> occ</td><td>False                                                                                                                                                    </td></tr><tr><td> show_sixel_scatter</td><td>False                                                                                                                                                    </td></tr><tr><td> show_sixel_general</td><td>False                                                                                                                                                    </td></tr><tr><td> show_sixel_trial_index_result</td><td>False                                                                                                                                                    </td></tr><tr><td> follow</td><td>False                                                                                                                                                    </td></tr><tr><td> send_anonymized_usage_stats</td><td>True                                                                                                                                                     </td></tr><tr><td> ui_url</td><td>None                                                                                                                                                     </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                                                           </td></tr><tr><td> exclude</td><td>None                                                                                                                                                     </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                                                        </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                                                        </td></tr><tr><td> max_nr_of_zero_results</td><td>50                                                                                                                                                       </td></tr><tr><td> disable_search_space_exhaustion_detection</td><td>False                                                                                                                                                    </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                                                    </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                                                     </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                                                    </td></tr><tr><td> live_share</td><td>False                                                                                                                                                    </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                                                    </td></tr><tr><td> workdir</td><td>False                                                                                                                                                    </td></tr><tr><td> max_parallelism</td><td>max_eval_times_thousand_plus_thousand                                                                                                                    </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                                                   </td></tr><tr><td> result_names</td><td>[&#039;ACCURACY=max&#039;, &#039;RUNTIME=min&#039;]                                                                                                                          </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                                                        </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                                                     </td></tr><tr><td> generate_all_jobs_at_once</td><td>True                                                                                                                                                     </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                                                     </td></tr><tr><td> num_parallel_jobs</td><td>30                                                                                                                                                       </td></tr><tr><td> worker_timeout</td><td>30                                                                                                                                                       </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                                                    </td></tr><tr><td> time</td><td>1260                                                                                                                                                     </td></tr><tr><td> partition</td><td>romeo                                                                                                                                                    </td></tr><tr><td> reservation</td><td>None                                                                                                                                                     </td></tr><tr><td> force_local_execution</td><td>False                                                                                                                                                    </td></tr><tr><td> slurm_signal_delay_s</td><td>0                                                                                                                                                        </td></tr><tr><td> nodes_per_job</td><td>1                                                                                                                                                        </td></tr><tr><td> cpus_per_task</td><td>1                                                                                                                                                        </td></tr><tr><td> account</td><td>None                                                                                                                                                     </td></tr><tr><td> gpus</td><td>0                                                                                                                                                        </td></tr><tr><td> run_mode</td><td>local                                                                                                                                                    </td></tr><tr><td> verbose</td><td>False                                                                                                                                                    </td></tr><tr><td> verbose_break_run_search_table</td><td>False                                                                                                                                                    </td></tr><tr><td> debug</td><td>False                                                                                                                                                    </td></tr><tr><td> no_sleep</td><td>False                                                                                                                                                    </td></tr><tr><td> tests</td><td>False                                                                                                                                                    </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False                                                                                                                                                    </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False                                                                                                                                                    </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False                                                                                                                                                    </td></tr><tr><td> raise_in_eval</td><td>False                                                                                                                                                    </td></tr><tr><td> show_ram_every_n_seconds</td><td>False                                                                                                                                                    </td></tr></tbody></table>
			<h1>&nbsp;Worker-Usage</h1>
			<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
<pre id="pre_tab_worker_usage">1742404009.7036014,30,0,0
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1742462901.4804993,30,3,10
1742462903.940097,30,4,13
1742462904.0048873,30,4,13
1742462904.7390816,30,4,13
1742462907.2769141,30,5,17
1742462907.3847349,30,5,17
1742462907.9193115,30,5,17
1742462910.3953013,30,6,20
1742462910.5768175,30,6,20
1742462911.1968338,30,6,20
1742462913.7017422,30,7,23
1742462913.886327,30,7,23
1742462914.4654381,30,7,23
1742462917.4830966,30,8,27
1742462917.6025023,30,8,27
1742462918.2607803,30,8,27
1742462920.749982,30,9,30
1742462920.8398051,30,9,30
1742462921.4385884,30,9,30
1742462924.9555297,30,10,33
1742462925.0292826,30,10,33
1742462925.663604,30,10,33
1742462927.7228703,30,11,37
1742462927.7984233,30,11,37
1742462928.3611012,30,11,37
1742462931.4487426,30,12,40
1742462931.8286338,30,12,40
1742462932.4967806,30,12,40
1742462935.1953416,30,13,43
1742462935.4579582,30,13,43
1742462936.20624,30,13,43
1742462938.3844523,30,14,47
1742462938.4844975,30,14,47
1742462939.1007183,30,14,47
1742462941.806654,30,15,50
1742462941.8727455,30,15,50
1742462942.5761409,30,15,50
1742462944.9871109,30,16,53
1742462945.073977,30,16,53
1742462945.7686877,30,16,53
1742462948.0802135,30,17,57
1742462948.1852527,30,17,57
1742462948.843678,30,17,57
1742462951.4181478,30,18,60
1742462951.525105,30,18,60
1742462952.156283,30,18,60
1742462954.8276515,30,19,63
1742462954.915679,30,19,63
1742462955.4796417,30,19,63
1742462957.9287405,30,20,67
1742462958.0524044,30,20,67
1742462958.6711912,30,20,67
1742462961.895871,30,21,70
1742462962.1476104,30,21,70
1742462962.8183193,30,21,70
1742462965.2719755,30,22,73
1742462965.6712198,30,22,73
1742462966.3701775,30,22,73
1742462968.7804985,30,23,77
1742462968.8806705,30,23,77
1742462969.500666,30,23,77
1742462971.8752034,30,24,80
1742462972.0189822,30,24,80
1742462972.7243536,30,24,80
1742462975.4716535,30,25,83
1742462975.537181,30,25,83
1742462976.1014915,30,25,83
1742462978.7945936,30,26,87
1742462978.9060652,30,26,87
1742462979.5781822,30,26,87
1742462982.2717085,30,27,90
1742462982.4109018,30,27,90
1742462983.0711045,30,27,90
1742462985.4019885,30,28,93
1742462985.697384,30,28,93
1742462986.3084915,30,28,93
1742462988.773348,30,29,97
1742462988.8697817,30,29,97
1742462989.41381,30,29,97
1742462992.819558,30,30,100
1742462994.3604717,30,30,100
1742462995.157959,30,30,100
1742462999.8276675,30,29,97
1742463000.519017,30,28,93
1742463001.6844513,30,28,93
1742463001.9975002,30,28,93
1742463004.7814236,30,27,90
1742463006.505882,30,27,90
1742463015.0187144,30,27,90
1742463022.4398758,30,27,90
1742463028.3320131,30,27,90
1742463028.6158986,30,27,90
1742463031.989022,30,26,87
1742463032.1414566,30,26,87
1742463038.185805,30,26,87
1742463038.4366736,30,26,87
1742463040.0188117,30,25,83
1742463040.398116,30,25,83
1742463042.275687,30,24,80
1742463042.7061694,30,24,80
1742463044.294892,30,23,77
1742463044.6340544,30,23,77
1742463046.1213596,30,22,73
1742463046.3229086,30,22,73
1742463047.7313836,30,21,70
1742463048.0157216,30,21,70
1742463051.2747543,30,20,67
1742463051.4545853,30,20,67
1742463057.3234785,30,20,67
1742463057.5513203,30,20,67
1742463059.433961,30,19,63
1742463059.820994,30,19,63
1742463061.2867851,30,18,60
1742463061.549671,30,18,60
1742463063.1390843,30,17,57
1742463063.4907553,30,17,57
1742463064.9954863,30,16,53
1742463065.370922,30,16,53
1742463066.9337182,30,15,50
1742463067.2809591,30,15,50
1742463068.850039,30,14,47
1742463069.1870642,30,14,47
1742463072.5404737,30,13,43
1742463072.83391,30,13,43
1742463078.9462185,30,13,43
1742463079.3444254,30,13,43
1742463081.1678565,30,12,40
1742463081.610699,30,12,40
1742463083.5137582,30,11,37
1742463083.864724,30,11,37
1742463085.6477232,30,10,33
1742463085.966179,30,10,33
1742463089.5480928,30,9,30
1742463089.870727,30,9,30
1742463096.1682148,30,9,30
1742463096.6116526,30,9,30
1742463098.4162426,30,8,27
1742463098.8031414,30,8,27
1742463100.7256997,30,7,23
1742463101.161417,30,7,23
1742463103.0047312,30,6,20
1742463103.3770416,30,6,20
1742463105.253808,30,5,17
1742463105.6400487,30,5,17
1742463109.306735,30,4,13
1742463109.636231,30,4,13
1742463116.6799223,30,4,13
1742463124.7826576,30,4,13
1742463130.8653443,30,4,13
1742463131.224905,30,4,13
1742463133.8201323,30,3,10
1742463134.0903437,30,3,10
1742463142.2197218,30,3,10
1742463149.4262657,30,3,10
1742463155.5589767,30,3,10
1742463155.8471744,30,3,10
1742463159.4072216,30,2,7
1742463159.6481757,30,2,7
1742463166.9333463,30,2,7
1742463173.088402,30,2,7
1742463173.5098803,30,2,7
1742463176.9976256,30,1,3
1742463177.2909563,30,1,3
1742463184.9601386,30,1,3
1742463193.1116214,30,1,3
1742463199.264793,30,1,3
1742463199.568347,30,1,3
1742463202.0757024,30,0,0
1742463205.202805,30,0,0
1742463207.308413,30,0,0
1742463681.0564528,30,0,0
1742464148.4973245,30,0,0
1742464430.7158928,30,0,0
1742464998.400088,30,0,0
1742465157.911453,30,0,0
1742465448.606742,30,0,0
1742465830.0711374,30,0,0
1742466271.729795,30,0,0
1742466887.3679,30,0,0
1742467276.2090302,30,0,0
1742467686.1573007,30,0,0
1742468053.868749,30,0,0
1742468529.430876,30,0,0
1742469188.3876412,30,0,0
1742469817.4692726,30,0,0
1742469914.2122207,30,0,0
1742470176.9116209,30,0,0
1742470620.198411,30,0,0
1742470938.7210128,30,0,0
1742471454.634074,30,0,0
1742471909.3860178,30,0,0
1742472493.4203587,30,0,0
1742473237.2594268,30,0,0
1742473740.3523574,30,0,0
1742474059.8478062,30,0,0
1742474329.8504488,30,0,0
1742474865.858735,30,0,0
1742475616.1987789,30,0,0
1742476268.5874608,30,0,0
1742476417.3723924,30,0,0
1742476418.0497622,30,0,0
1742476420.4689007,30,1,3
1742476420.619282,30,1,3
1742476421.2751706,30,1,3
1742476423.7982824,30,2,7
1742476424.0173998,30,2,7
1742476424.6651351,30,2,7
1742476426.871264,30,3,10
1742476426.9377823,30,3,10
1742476427.6063738,30,3,10
1742476429.9677985,30,4,13
1742476430.0947983,30,4,13
1742476430.7495234,30,4,13
1742476432.928372,30,5,17
1742476433.0511193,30,5,17
1742476433.6914482,30,5,17
1742476435.8489232,30,6,20
1742476435.9437556,30,6,20
1742476436.535917,30,6,20
1742476438.8666563,30,7,23
1742476438.9443607,30,7,23
1742476439.5331485,30,7,23
1742476441.9282148,30,8,27
1742476442.0460565,30,8,27
1742476442.6844409,30,8,27
1742476445.5133069,30,9,30
1742476445.6378658,30,9,30
1742476446.2412164,30,9,30
1742476448.604906,30,10,33
1742476448.7549474,30,10,33
1742476449.37879,30,10,33
1742476451.8201408,30,11,37
1742476451.9787273,30,11,37
1742476452.5840814,30,11,37
1742476454.823062,30,12,40
1742476454.8928013,30,12,40
1742476455.522992,30,12,40
1742476457.887629,30,13,43
1742476457.988994,30,13,43
1742476458.516316,30,13,43
1742476460.7882583,30,14,47
1742476460.9876854,30,14,47
1742476461.5729945,30,14,47
1742476463.8920677,30,15,50
1742476463.9933336,30,15,50
1742476464.6234524,30,15,50
1742476466.7850811,30,16,53
1742476466.8723931,30,16,53
1742476467.5692313,30,16,53
1742476470.3446362,30,17,57
1742476470.447077,30,17,57
1742476471.2199895,30,17,57
1742476474.826622,30,18,60
1742476474.9776978,30,18,60
1742476475.7135968,30,18,60
1742476477.8397548,30,19,63
1742476477.907059,30,19,63
1742476478.541101,30,19,63
1742476480.989653,30,20,67
1742476481.058409,30,20,67
1742476481.728149,30,20,67
1742476483.91984,30,21,70
1742476483.986157,30,21,70
1742476484.6816938,30,21,70
1742476486.8365362,30,22,73
1742476486.8950515,30,22,73
1742476487.571955,30,22,73
1742476490.382207,30,23,77
1742476490.4729223,30,23,77
1742476491.128255,30,23,77
1742476493.3816395,30,24,80
1742476493.4762692,30,24,80
1742476494.1208725,30,24,80
1742476496.377926,30,25,83
1742476496.5379663,30,25,83
1742476497.1771266,30,25,83
1742476499.8034284,30,26,87
1742476499.9232957,30,26,87
1742476500.646561,30,26,87
1742476503.5553935,30,27,90
1742476503.6621585,30,27,90
1742476504.27616,30,27,90
1742476506.766833,30,28,93
1742476506.851837,30,28,93
1742476507.497218,30,28,93
1742476509.8133867,30,29,97
1742476509.932498,30,29,97
1742476510.615409,30,29,97
1742476513.898742,30,30,100
1742476515.1800163,30,30,100
1742476515.6074715,30,30,100
1742476519.3881369,30,29,97
1742476519.689255,30,29,97
</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
1742404009,590.74609375,0.3
1742404009,590.84375,2.2
1742404009,590.9375,1.3
1742404009,590.9375,0.0
1742404009,590.9375,5.9
1742404009,590.9375,0.6
1742404009,590.9375,0.0
1742404108,605.1328125,1.2
1742404108,605.1328125,3.5
1742404108,605.1328125,1.5
1742404108,605.1328125,4.8
1742407934,675.18359375,4.3
1742407934,675.18359375,6.2
1742407934,675.18359375,5.8
1742407934,675.18359375,6.1
1742410953,683.0234375,6.7
1742410953,683.05078125,9.8
1742410954,683.05078125,6.3
1742410954,683.05078125,7.9
1742414627,694.62890625,7.3
1742414627,694.62890625,7.5
1742414627,694.62890625,7.2
1742414627,694.62890625,7.8
1742419687,712.86328125,8.1
1742419687,712.86328125,7.6
1742419687,712.86328125,7.9
1742419687,712.86328125,7.3
1742428235,729.62890625,9.0
1742428235,729.62890625,9.8
1742428235,729.62890625,10.1
1742428235,729.62890625,9.7
1742442103,744.2578125,9.5
1742442103,744.2578125,10.4
1742442104,744.2578125,10.2
1742442104,744.2578125,10.3
1742454448,764.97265625,9.6
1742454448,764.97265625,8.4
1742454448,764.97265625,7.8
1742454448,764.97265625,7.4
1742463005,778.76171875,9.0
1742463005,778.76171875,8.1
1742463006,778.76171875,8.2
1742463006,778.76171875,7.8
1742476522,736.234375,8.4
1742476522,736.234375,6.6
1742476523,736.234375,6.9
1742476523,736.234375,8.6
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;Heatmap</h1>
			<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
			    <h1>Correlation Heatmap Explanation</h1>
			
			    <p>
			        This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
			    </p>
			
			    <h2>How It Works</h2>
			    <p>
			        The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
			    </p>
			    <ul>
			        <li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
			        <li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
			        <li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
			    </ul>
			
			    <h2>Color Scale: Yellow to Purple (Viridis)</h2>
			    <p>
			        The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
			    </p>
			    <ul>
			        <li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
			        <li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
			        <li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
			        <li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
			    </ul>
			
			    <h2>What the Heatmap Shows</h2>
			    <p>
			        In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
			    </p>
			
			<h1>&nbsp;Result-Pairs</h1>
			<div class="invert_in_dark_mode" id="plotResultPairs"></div>
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
	</body>
</html>