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
ACCURACY	recent_samples_size	n_samples	confidence	feature_proportion	n_clusters	RUNTIME
0.36183177570093455	2019	1000	0.001	0.2	4	26.830154180526733
Name	Type	Lower bound	Upper bound	Values	Type	Log Scale?
recent_samples_size	range	10	4000		int	No
n_samples	range	100	1000		int	No
confidence	choice			0.001, 0.005, 0.01, 0.025, 0.05, 0.1, 0.25
feature_proportion	range	0	0.2		float	No
n_clusters	range	1	4		int	No
Failed	Succeeded	Running	Total
269	239	2	510
name	min/max
ACCURACY	max
RUNTIME	min
Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	20
max_eval	500
run_program	[['bW9kdWxlIGxvYWQgR0NDY29yZS8xMC4zLjAgUHl0aG9uICYmIHNvdXJjZSAvZGF0YS9ob3JzZS93cy9zNDEyMjQ4NS1jb21wUGVyZkREL2JlbmNobWFyay92ZW52L2Jpbi9hY3RpdmF0ZSAmJiBw…
experiment_name	CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACC-RUNTIME
mem_gb	32
parameter	[['recent_samples_size', 'range', '10', '4000', 'int'], ['n_samples', 'range', '100', '1000', 'int'], ['confidence', 'choice',
	'0.25,0.1,0.05,0.025,0.01,0.005,0.001'], ['feature_proportion', 'range', '0.0', '0.2', 'float'], ['n_clusters', 'range', '1', '4', 'int']]
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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				z-index: 2;
				margin-left: -9px;
				z-index: 99;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 50px;
				height: 26px;
			}
			
			.switch input {
				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
			}
			
			.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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			var special_col_names = ["trial_index","arm_name","trial_status","generation_method","generation_node","hostname","run_time","start_time","exit_code","signal","end_time","program_string"]

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			        30,
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			        30,
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			        93
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			        30,
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			    ],
			    [
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			        30,
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			        97
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			        30,
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			        30,
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			        30,
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			        30,
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			    [
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			        30,
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			        93
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			    [
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			        30,
			        27,
			        90
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			    [
			        1742432667.5076144,
			        30,
			        26,
			        87
			    ],
			    [
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			        30,
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			    ],
			    [
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			        30,
			        24,
			        80
			    ],
			    [
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			        30,
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			        77
			    ],
			    [
			        1742432674.5145438,
			        30,
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			        73
			    ],
			    [
			        1742432676.2681577,
			        30,
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			        70
			    ],
			    [
			        1742432678.356795,
			        30,
			        20,
			        67
			    ],
			    [
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			    ],
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			        30,
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			    ],
			    [
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			    ],
			    [
			        1742432688.046845,
			        30,
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			    ],
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			        1742432688.586304,
			        30,
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			        50
			    ],
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			        30,
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			        30,
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			    [
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			        30,
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			        43
			    ],
			    [
			        1742432695.5105011,
			        30,
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			        43
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			    [
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			        30,
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			        43
			    ],
			    [
			        1742432700.980331,
			        30,
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			    ],
			    [
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			        30,
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			        40
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			    [
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			        30,
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			    [
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			        30,
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			        30,
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			    [
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			        30,
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			    [
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			        30,
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			    [
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			        30,
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			    [
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			        30,
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			        30,
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			        30,
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			    [
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			        30,
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			    [
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			        30,
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			    [
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			        30,
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			    [
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			        30,
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			    [
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			        30,
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			    ],
			    [
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			        30,
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			    [
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			        30,
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			    ],
			    [
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			        30,
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			    ],
			    [
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			        30,
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			    ],
			    [
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			        30,
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			    ],
			    [
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			        30,
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			    ],
			    [
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			        30,
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			    ],
			    [
			        1742432792.1299202,
			        30,
			        1,
			        3
			    ],
			    [
			        1742432796.1782303,
			        30,
			        0,
			        0
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1742403747,
			        590.19140625,
			        0.5
			    ],
			    [
			        1742403747,
			        590.23046875,
			        1.3
			    ],
			    [
			        1742403747,
			        590.33203125,
			        0.8
			    ],
			    [
			        1742403747,
			        590.33203125,
			        2.1
			    ],
			    [
			        1742403747,
			        590.33203125,
			        0
			    ],
			    [
			        1742403747,
			        590.33203125,
			        1.2
			    ],
			    [
			        1742403747,
			        590.33203125,
			        0
			    ],
			    [
			        1742403840,
			        603.21875,
			        1
			    ],
			    [
			        1742403840,
			        603.28515625,
			        0.7
			    ],
			    [
			        1742403840,
			        603.28515625,
			        1.3
			    ],
			    [
			        1742403840,
			        603.28515625,
			        0
			    ],
			    [
			        1742405477,
			        686.8046875,
			        2.1
			    ],
			    [
			        1742405477,
			        686.8046875,
			        1.1
			    ],
			    [
			        1742405477,
			        686.8046875,
			        1.5
			    ],
			    [
			        1742405477,
			        686.8046875,
			        1.5
			    ],
			    [
			        1742406960,
			        690.76171875,
			        3.7
			    ],
			    [
			        1742406960,
			        690.76171875,
			        8.6
			    ],
			    [
			        1742406960,
			        690.76171875,
			        5.5
			    ],
			    [
			        1742406960,
			        690.76171875,
			        5.2
			    ],
			    [
			        1742408623,
			        687.4453125,
			        5.1
			    ],
			    [
			        1742408623,
			        687.4453125,
			        2.9
			    ],
			    [
			        1742408623,
			        687.4453125,
			        3.8
			    ],
			    [
			        1742408623,
			        687.4453125,
			        3.5
			    ],
			    [
			        1742409750,
			        701.34375,
			        5.8
			    ],
			    [
			        1742409750,
			        701.34375,
			        4
			    ],
			    [
			        1742409750,
			        701.34375,
			        5.3
			    ],
			    [
			        1742409750,
			        701.34375,
			        6
			    ],
			    [
			        1742410847,
			        710.8203125,
			        6.2
			    ],
			    [
			        1742410847,
			        710.8203125,
			        3.6
			    ],
			    [
			        1742410847,
			        710.8203125,
			        4.2
			    ],
			    [
			        1742410847,
			        710.8203125,
			        5.7
			    ],
			    [
			        1742412065,
			        717.51953125,
			        5.8
			    ],
			    [
			        1742412065,
			        717.51953125,
			        6.5
			    ],
			    [
			        1742412065,
			        717.51953125,
			        6.7
			    ],
			    [
			        1742412065,
			        717.51953125,
			        6.4
			    ],
			    [
			        1742413569,
			        729.06640625,
			        6.9
			    ],
			    [
			        1742413569,
			        729.06640625,
			        9.8
			    ],
			    [
			        1742413569,
			        729.06640625,
			        8.1
			    ],
			    [
			        1742413569,
			        729.06640625,
			        5.7
			    ],
			    [
			        1742414899,
			        732.9296875,
			        6.7
			    ],
			    [
			        1742414899,
			        732.9296875,
			        7.9
			    ],
			    [
			        1742414899,
			        732.9296875,
			        7.5
			    ],
			    [
			        1742414899,
			        732.9296875,
			        5.4
			    ],
			    [
			        1742416988,
			        724.8828125,
			        6.9
			    ],
			    [
			        1742416988,
			        724.8828125,
			        7
			    ],
			    [
			        1742416988,
			        724.8828125,
			        5.7
			    ],
			    [
			        1742416988,
			        724.8828125,
			        5.8
			    ],
			    [
			        1742419172,
			        769.88671875,
			        6.6
			    ],
			    [
			        1742419172,
			        769.88671875,
			        4
			    ],
			    [
			        1742419172,
			        769.88671875,
			        5.5
			    ],
			    [
			        1742419172,
			        769.88671875,
			        5.9
			    ],
			    [
			        1742421225,
			        746.51171875,
			        7.1
			    ],
			    [
			        1742421225,
			        746.51171875,
			        3.4
			    ],
			    [
			        1742421226,
			        746.51171875,
			        5.8
			    ],
			    [
			        1742421226,
			        746.51171875,
			        5.7
			    ],
			    [
			        1742423198,
			        738,
			        6.5
			    ],
			    [
			        1742423198,
			        738,
			        5
			    ],
			    [
			        1742423198,
			        738,
			        5.9
			    ],
			    [
			        1742423198,
			        738,
			        2.9
			    ],
			    [
			        1742425492,
			        741.16015625,
			        6.8
			    ],
			    [
			        1742425492,
			        741.16015625,
			        6.1
			    ],
			    [
			        1742425492,
			        741.16015625,
			        6
			    ],
			    [
			        1742425492,
			        741.16015625,
			        6.7
			    ],
			    [
			        1742427869,
			        744.48046875,
			        6.4
			    ],
			    [
			        1742427869,
			        744.48046875,
			        2.6
			    ],
			    [
			        1742427869,
			        744.48046875,
			        7
			    ],
			    [
			        1742427869,
			        744.48046875,
			        7.7
			    ],
			    [
			        1742429752,
			        804.95703125,
			        5.9
			    ],
			    [
			        1742429752,
			        804.95703125,
			        2.8
			    ],
			    [
			        1742429752,
			        804.95703125,
			        4.9
			    ],
			    [
			        1742429752,
			        804.95703125,
			        8.6
			    ],
			    [
			        1742432695,
			        757.5234375,
			        6.5
			    ],
			    [
			        1742432695,
			        757.5234375,
			        6.2
			    ],
			    [
			        1742432695,
			        757.5234375,
			        6.3
			    ],
			    [
			        1742432695,
			        757.5234375,
			        5.6
			    ],
			    [
			        1742432799,
			        757.41796875,
			        5.5
			    ],
			    [
			        1742432799,
			        757.41796875,
			        2.8
			    ]
			];
			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");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_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
					};
				});
			
				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));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_method"]').forEach(el => {
					let color = el.textContent.includes("Manual") ? "green" :
						el.textContent.includes("Sobol") ? "orange" :
						el.textContent.includes("SAASBO") ? "pink" :
						el.textContent.includes("Uniform") ? "lightblue" :
						el.textContent.includes("Legacy_GPEI") ? "Sienna" :
						el.textContent.includes("BO_MIXED") ? "Aqua" :
						el.textContent.includes("RANDOMFOREST") ? "DarkSeaGreen" :
						el.textContent.includes("EXTERNAL_GENERATOR") ? "Purple" :
						el.textContent.includes("BoTorch") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			

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

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;Overview</h1>
			<h2>Experiment overview:              </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value           </th></tr></thead><tbody><tr><td> 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>Best RUNTIME, min (total: 239, failed: 269):                                         </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> ACCURACY</th><th>recent_samples_size</th><th>n_samples</th><th>confidence</th><th>feature_proportion</th><th>n_clusters</th><th>RUNTIME            </th></tr></thead><tbody><tr><td> 0.36183177570093455</td><td>2019</td><td>1000</td><td>0.001</td><td>0.2</td><td>4</td><td>26.830154180526733 </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_samples</td><td>range</td><td>100</td><td>1000</td><td></td><td>int</td><td>No         </td></tr><tr><td> confidence</td><td>choice</td><td></td><td></td><td>0.001, 0.005, 0.01, 0.025, 0.05, 0.1, 0.25</td><td></td><td></td></tr><tr><td> feature_proportion</td><td>range</td><td>0</td><td>0.2</td><td></td><td>float</td><td>No         </td></tr><tr><td> n_clusters</td><td>range</td><td>1</td><td>4</td><td></td><td>int</td><td>No         </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>269</td>
			<td>239</td>
			<td>2</td>
			<td>510</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;Pareto-Fronts</h1>
			<div id='pareto_front_graphs_container'></div>
<pre>                                     Pareto Frontier Results for ACCURACY/RUNTIME:                                     
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ recent_samples_size ┃ n_samples ┃ confidence ┃  feature_proportion  ┃ n_clusters ┃   ACCURACY    ┃     RUNTIME      ┃
┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│         114         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 98.361 &plusmn; 10.036  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         113         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 98.057 &plusmn; 10.053  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         257         │    100    │   0.001    │         0.2          │     4      │ 0.636 &plusmn; 0.004 │ 147.330 &plusmn; 12.067 │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         113         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 98.057 &plusmn; 10.053  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         256         │    100    │   0.001    │         0.2          │     4      │ 0.636 &plusmn; 0.004 │ 146.958 &plusmn; 12.057 │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         256         │    100    │   0.001    │         0.2          │     4      │ 0.636 &plusmn; 0.004 │ 146.958 &plusmn; 12.057 │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         113         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 98.057 &plusmn; 10.053  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         254         │    100    │   0.001    │         0.2          │     4      │ 0.636 &plusmn; 0.004 │ 146.215 &plusmn; 12.038 │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         254         │    100    │   0.001    │         0.2          │     4      │ 0.636 &plusmn; 0.004 │ 146.215 &plusmn; 12.038 │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         113         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 98.057 &plusmn; 10.053  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         253         │    100    │   0.001    │         0.2          │     4      │ 0.636 &plusmn; 0.004 │ 145.844 &plusmn; 12.029 │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         112         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.754 &plusmn; 10.070  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         112         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.754 &plusmn; 10.070  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         112         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.754 &plusmn; 10.070  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         251         │    100    │   0.001    │         0.2          │     4      │ 0.636 &plusmn; 0.004 │ 145.103 &plusmn; 12.011 │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         250         │    100    │   0.001    │         0.2          │     4      │ 0.636 &plusmn; 0.004 │ 144.733 &plusmn; 12.003 │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         112         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.754 &plusmn; 10.070  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         112         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.754 &plusmn; 10.070  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         112         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.754 &plusmn; 10.070  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         112         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.754 &plusmn; 10.070  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         247         │    100    │   0.001    │         0.2          │     3      │ 0.635 &plusmn; 0.004 │ 143.589 &plusmn; 11.281 │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         111         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.452 &plusmn; 10.088  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         246         │    100    │   0.001    │         0.2          │     3      │ 0.635 &plusmn; 0.004 │ 143.219 &plusmn; 11.268 │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         111         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.452 &plusmn; 10.088  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         111         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.452 &plusmn; 10.088  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         111         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.452 &plusmn; 10.088  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         111         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.452 &plusmn; 10.088  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         242         │    100    │   0.001    │         0.2          │     3      │ 0.635 &plusmn; 0.004 │ 141.742 &plusmn; 11.219 │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         111         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.452 &plusmn; 10.088  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         240         │    100    │   0.001    │         0.2          │     2      │ 0.635 &plusmn; 0.004 │ 141.003 &plusmn; 11.137 │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         110         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.150 &plusmn; 10.107  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         110         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.150 &plusmn; 10.107  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         110         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.150 &plusmn; 10.107  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         236         │    100    │   0.001    │         0.2          │     2      │ 0.635 &plusmn; 0.004 │ 139.529 &plusmn; 11.074 │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         110         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.150 &plusmn; 10.107  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         110         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.150 &plusmn; 10.107  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         230         │    100    │   0.001    │         0.2          │     1      │ 0.635 &plusmn; 0.005 │ 137.368 &plusmn; 11.574 │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         110         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.150 &plusmn; 10.107  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         110         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.150 &plusmn; 10.107  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         110         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 97.150 &plusmn; 10.107  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         109         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.849 &plusmn; 10.126  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         109         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.849 &plusmn; 10.126  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         109         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.849 &plusmn; 10.126  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         109         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.849 &plusmn; 10.126  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         109         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.849 &plusmn; 10.126  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         109         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.849 &plusmn; 10.126  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         109         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.849 &plusmn; 10.126  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         109         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.849 &plusmn; 10.126  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         109         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.849 &plusmn; 10.126  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         109         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.849 &plusmn; 10.126  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         108         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.548 &plusmn; 10.146  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         108         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.548 &plusmn; 10.146  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         108         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.548 &plusmn; 10.146  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         108         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.548 &plusmn; 10.146  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         108         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.548 &plusmn; 10.146  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         108         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.548 &plusmn; 10.146  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         108         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.548 &plusmn; 10.146  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         108         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.548 &plusmn; 10.146  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         108         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.548 &plusmn; 10.146  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         108         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.548 &plusmn; 10.146  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         107         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.248 &plusmn; 10.166  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         107         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.248 &plusmn; 10.166  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         107         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.248 &plusmn; 10.166  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         107         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.248 &plusmn; 10.166  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         107         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.248 &plusmn; 10.166  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         107         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.248 &plusmn; 10.166  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         107         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.248 &plusmn; 10.166  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         107         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.248 &plusmn; 10.166  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         107         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 96.248 &plusmn; 10.166  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         106         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.949 &plusmn; 10.187  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         106         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.949 &plusmn; 10.187  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         106         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.949 &plusmn; 10.187  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         106         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.949 &plusmn; 10.187  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         106         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.949 &plusmn; 10.187  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         106         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.949 &plusmn; 10.187  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         106         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.949 &plusmn; 10.187  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         106         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.949 &plusmn; 10.187  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         106         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.949 &plusmn; 10.187  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         106         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.949 &plusmn; 10.187  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         105         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.651 &plusmn; 10.209  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         105         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.651 &plusmn; 10.209  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         105         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.651 &plusmn; 10.209  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         105         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.651 &plusmn; 10.209  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         105         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.651 &plusmn; 10.209  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         105         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.651 &plusmn; 10.209  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         105         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.651 &plusmn; 10.209  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         105         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.651 &plusmn; 10.209  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         105         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.651 &plusmn; 10.209  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.353 &plusmn; 10.231  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.353 &plusmn; 10.231  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.353 &plusmn; 10.231  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.353 &plusmn; 10.231  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.353 &plusmn; 10.231  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.353 &plusmn; 10.231  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.353 &plusmn; 10.231  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.353 &plusmn; 10.231  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         103         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.055 &plusmn; 10.254  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         103         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.055 &plusmn; 10.254  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         103         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.055 &plusmn; 10.254  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         103         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.055 &plusmn; 10.254  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         103         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.055 &plusmn; 10.254  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         103         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.055 &plusmn; 10.254  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         103         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.055 &plusmn; 10.254  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         103         │    100    │    0.25    │         0.2          │     1      │ 0.642 &plusmn; 0.003 │ 95.055 &plusmn; 10.254  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         102         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.759 &plusmn; 10.277  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         102         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.759 &plusmn; 10.277  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         102         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.759 &plusmn; 10.277  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         102         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.759 &plusmn; 10.277  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         102         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.759 &plusmn; 10.277  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         102         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.759 &plusmn; 10.277  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         102         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.759 &plusmn; 10.277  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         282         │    265    │   0.001    │         0.2          │     4      │ 0.616 &plusmn; 0.004 │ 79.023 &plusmn; 10.090  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         101         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.463 &plusmn; 10.302  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         101         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.463 &plusmn; 10.302  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         101         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.463 &plusmn; 10.302  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         101         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.463 &plusmn; 10.302  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         101         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.463 &plusmn; 10.302  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         281         │    269    │   0.001    │         0.2          │     4      │ 0.616 &plusmn; 0.004 │ 77.762 &plusmn; 10.053  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         101         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.463 &plusmn; 10.302  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         100         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.167 &plusmn; 10.326  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         100         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.167 &plusmn; 10.326  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         100         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.167 &plusmn; 10.326  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         100         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.167 &plusmn; 10.326  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         100         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.167 &plusmn; 10.326  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         100         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.167 &plusmn; 10.326  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         100         │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 94.167 &plusmn; 10.326  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         99          │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 93.873 &plusmn; 10.352  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         99          │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 93.873 &plusmn; 10.352  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         99          │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 93.873 &plusmn; 10.352  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         99          │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 93.873 &plusmn; 10.352  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         99          │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 93.873 &plusmn; 10.352  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         99          │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 93.873 &plusmn; 10.352  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         98          │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 93.578 &plusmn; 10.378  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         98          │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 93.578 &plusmn; 10.378  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         98          │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 93.578 &plusmn; 10.378  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         98          │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 93.578 &plusmn; 10.378  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         98          │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 93.578 &plusmn; 10.378  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         98          │    100    │    0.25    │         0.2          │     1      │ 0.641 &plusmn; 0.003 │ 93.578 &plusmn; 10.378  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         97          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 93.285 &plusmn; 10.404  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         97          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 93.285 &plusmn; 10.404  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         97          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 93.285 &plusmn; 10.404  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         97          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 93.285 &plusmn; 10.404  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         97          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 93.285 &plusmn; 10.404  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         97          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 93.285 &plusmn; 10.404  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         96          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 92.992 &plusmn; 10.432  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         96          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 92.992 &plusmn; 10.432  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         96          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 92.992 &plusmn; 10.432  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         96          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 92.992 &plusmn; 10.432  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         96          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 92.992 &plusmn; 10.432  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         95          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 92.700 &plusmn; 10.459  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         95          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 92.700 &plusmn; 10.459  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         95          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 92.700 &plusmn; 10.459  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         95          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 92.700 &plusmn; 10.459  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         95          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 92.700 &plusmn; 10.459  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         94          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 92.408 &plusmn; 10.488  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         94          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 92.408 &plusmn; 10.488  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         94          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 92.408 &plusmn; 10.488  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         94          │    100    │    0.25    │         0.2          │     1      │ 0.640 &plusmn; 0.003 │ 92.408 &plusmn; 10.488  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         93          │    100    │    0.25    │         0.2          │     1      │ 0.639 &plusmn; 0.003 │ 92.118 &plusmn; 10.517  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         93          │    100    │    0.25    │         0.2          │     1      │ 0.639 &plusmn; 0.003 │ 92.118 &plusmn; 10.517  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         93          │    100    │    0.25    │         0.2          │     1      │ 0.639 &plusmn; 0.003 │ 92.118 &plusmn; 10.517  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         93          │    100    │    0.25    │         0.2          │     1      │ 0.639 &plusmn; 0.003 │ 92.118 &plusmn; 10.517  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         92          │    100    │    0.25    │         0.2          │     1      │ 0.639 &plusmn; 0.003 │ 91.827 &plusmn; 10.547  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         92          │    100    │    0.25    │         0.2          │     1      │ 0.639 &plusmn; 0.003 │ 91.827 &plusmn; 10.547  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         92          │    100    │    0.25    │         0.2          │     1      │ 0.639 &plusmn; 0.003 │ 91.827 &plusmn; 10.547  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         268         │    293    │   0.001    │  0.1059849476573541  │     4      │ 0.608 &plusmn; 0.004 │ 69.397 &plusmn; 10.480  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         91          │    100    │    0.25    │         0.2          │     1      │ 0.639 &plusmn; 0.003 │ 91.538 &plusmn; 10.577  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         91          │    100    │    0.25    │         0.2          │     1      │ 0.639 &plusmn; 0.003 │ 91.538 &plusmn; 10.577  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         91          │    100    │    0.25    │         0.2          │     1      │ 0.639 &plusmn; 0.003 │ 91.538 &plusmn; 10.577  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         91          │    100    │    0.25    │         0.2          │     1      │ 0.639 &plusmn; 0.003 │ 91.538 &plusmn; 10.577  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         93          │    120    │    0.25    │         0.2          │     1      │ 0.630 &plusmn; 0.003 │  84.491 &plusmn; 8.655  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         94          │    130    │    0.25    │         0.2          │     1      │ 0.625 &plusmn; 0.003 │  81.056 &plusmn; 8.151  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         96          │    140    │    0.25    │         0.2          │     1      │ 0.621 &plusmn; 0.003 │  77.983 &plusmn; 7.855  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         263         │    296    │   0.001    │ 0.06790312096412675  │     4      │ 0.606 &plusmn; 0.004 │ 67.767 &plusmn; 11.072  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         262         │    296    │   0.001    │ 0.06432735824415892  │     4      │ 0.606 &plusmn; 0.004 │ 67.575 &plusmn; 11.132  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         98          │    157    │    0.25    │         0.2          │     1      │ 0.614 &plusmn; 0.002 │  72.629 &plusmn; 7.744  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         99          │    165    │    0.25    │         0.2          │     1      │ 0.611 &plusmn; 0.002 │  70.263 &plusmn; 7.772  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         98          │    165    │    0.25    │         0.2          │     1      │ 0.611 &plusmn; 0.002 │  70.009 &plusmn; 7.790  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         100         │    173    │    0.25    │         0.2          │     2      │ 0.607 &plusmn; 0.002 │  67.760 &plusmn; 7.930  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         100         │    177    │    0.25    │         0.2          │     2      │ 0.606 &plusmn; 0.002 │  66.532 &plusmn; 7.944  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         101         │    180    │    0.25    │         0.2          │     2      │ 0.605 &plusmn; 0.002 │  65.872 &plusmn; 7.936  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         101         │    184    │    0.25    │         0.2          │     2      │ 0.603 &plusmn; 0.002 │  64.699 &plusmn; 7.948  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         256         │    299    │   0.001    │ 0.026936218714924003 │     4      │ 0.604 &plusmn; 0.005 │ 65.921 &plusmn; 11.889  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         102         │    190    │    0.25    │ 0.18579742932563867  │     2      │ 0.600 &plusmn; 0.002 │  63.097 &plusmn; 7.954  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         101         │    191    │    0.25    │ 0.17533589607439196  │     2      │ 0.599 &plusmn; 0.002 │  62.494 &plusmn; 8.007  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         103         │    196    │    0.25    │  0.1667615459641593  │     2      │ 0.598 &plusmn; 0.002 │  61.524 &plusmn; 8.024  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    202    │    0.25    │ 0.16487491826623216  │     3      │ 0.595 &plusmn; 0.003 │  59.983 &plusmn; 8.751  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    204    │    0.25    │ 0.15471845956305744  │     3      │ 0.594 &plusmn; 0.003 │  59.388 &plusmn; 8.804  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    205    │    0.25    │ 0.14841531537391567  │     3      │ 0.594 &plusmn; 0.003 │  59.085 &plusmn; 8.849  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    208    │    0.25    │ 0.14199094828335884  │     3      │ 0.592 &plusmn; 0.003 │  58.302 &plusmn; 8.881  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         103         │    209    │    0.25    │  0.1429473979507954  │     3      │ 0.591 &plusmn; 0.003 │  57.865 &plusmn; 8.874  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         105         │    213    │    0.25    │ 0.12416619106513659  │     3      │ 0.590 &plusmn; 0.003 │  57.195 &plusmn; 9.027  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    215    │    0.25    │ 0.12631983877679698  │     3      │ 0.589 &plusmn; 0.003 │  56.563 &plusmn; 8.984  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    217    │    0.25    │  0.1194178012542712  │     3      │ 0.588 &plusmn; 0.003 │  56.071 &plusmn; 9.054  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    219    │    0.25    │ 0.11370748032640474  │     3      │ 0.587 &plusmn; 0.003 │  55.601 &plusmn; 9.112  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    220    │    0.25    │  0.105860397210948   │     3      │ 0.587 &plusmn; 0.003 │  55.332 &plusmn; 9.224  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    223    │    0.25    │ 0.09877917493056806  │     3      │ 0.585 &plusmn; 0.003 │  54.669 &plusmn; 9.302  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         105         │    226    │    0.25    │ 0.09691604861731899  │     3      │ 0.584 &plusmn; 0.003 │  54.259 &plusmn; 9.281  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    226    │    0.25    │  0.0875941780581194  │     3      │ 0.584 &plusmn; 0.003 │  54.003 &plusmn; 9.465  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    229    │    0.25    │ 0.08427917147647507  │     3      │ 0.582 &plusmn; 0.003 │  53.419 &plusmn; 9.483  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    230    │    0.25    │ 0.07368847860349136  │     3      │ 0.582 &plusmn; 0.004 │  53.166 &plusmn; 9.686  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    231    │    0.1     │  0.0684939776972866  │     3      │ 0.581 &plusmn; 0.004 │  52.704 &plusmn; 9.522  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         105         │    236    │    0.1     │ 0.06377352661228687  │     4      │ 0.579 &plusmn; 0.004 │ 51.851 &plusmn; 10.552  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         105         │    238    │    0.05    │ 0.057412303967072566 │     4      │ 0.577 &plusmn; 0.004 │ 51.252 &plusmn; 10.486  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         105         │    240    │    0.05    │ 0.052522205765035905 │     4      │ 0.576 &plusmn; 0.004 │ 50.900 &plusmn; 10.554  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    241    │    0.05    │ 0.045113043117750495 │     4      │ 0.575 &plusmn; 0.004 │ 50.530 &plusmn; 10.712  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    244    │    0.05    │ 0.04516600465647614  │     4      │ 0.574 &plusmn; 0.004 │ 50.078 &plusmn; 10.646  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    246    │   0.025    │ 0.03485244460700634  │     4      │ 0.572 &plusmn; 0.005 │ 49.528 &plusmn; 10.809  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    247    │   0.025    │ 0.03242815997453843  │     4      │ 0.572 &plusmn; 0.005 │ 49.375 &plusmn; 10.849  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         104         │    248    │   0.025    │ 0.03188836701933606  │     4      │ 0.572 &plusmn; 0.005 │ 49.235 &plusmn; 10.842  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         102         │    249    │   0.025    │ 0.024173727452873103 │     4      │ 0.570 &plusmn; 0.005 │ 48.738 &plusmn; 11.032  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         101         │    250    │   0.025    │ 0.022622034831296073 │     4      │ 0.569 &plusmn; 0.005 │ 48.441 &plusmn; 11.058  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         101         │    253    │    0.01    │ 0.015107306210067612 │     4      │ 0.567 &plusmn; 0.005 │ 47.853 &plusmn; 11.261  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         100         │    253    │    0.01    │ 0.013024637729397846 │     4      │ 0.567 &plusmn; 0.005 │ 47.687 &plusmn; 11.323  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         99          │    255    │    0.01    │ 0.006690024290129336 │     4      │ 0.565 &plusmn; 0.005 │ 47.273 &plusmn; 11.461  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         98          │    256    │    0.01    │ 0.003127210005117575 │     4      │ 0.564 &plusmn; 0.005 │ 46.994 &plusmn; 11.546  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         97          │    258    │   0.005    │         0.0          │     4      │ 0.562 &plusmn; 0.005 │ 46.463 &plusmn; 11.766  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         96          │    259    │   0.005    │         0.0          │     4      │ 0.561 &plusmn; 0.005 │ 46.211 &plusmn; 11.754  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         94          │    260    │   0.005    │         0.0          │     4      │ 0.559 &plusmn; 0.005 │ 45.818 &plusmn; 11.748  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         93          │    261    │   0.005    │         0.0          │     4      │ 0.558 &plusmn; 0.005 │ 45.577 &plusmn; 11.737  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         91          │    262    │   0.005    │         0.0          │     4      │ 0.557 &plusmn; 0.005 │ 45.197 &plusmn; 11.733  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│        2343         │    946    │   0.001    │         0.2          │     4      │ 0.514 &plusmn; 0.007 │ 36.580 &plusmn; 11.012  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│        2342         │    946    │   0.001    │         0.2          │     4      │ 0.514 &plusmn; 0.007 │ 36.560 &plusmn; 11.012  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│        2341         │    946    │   0.001    │         0.2          │     4      │ 0.513 &plusmn; 0.007 │ 36.541 &plusmn; 11.013  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│        2341         │    946    │   0.001    │         0.2          │     4      │ 0.513 &plusmn; 0.007 │ 36.541 &plusmn; 11.013  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│        2340         │    947    │   0.001    │         0.2          │     4      │ 0.513 &plusmn; 0.007 │ 36.515 &plusmn; 11.001  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│        2339         │    947    │   0.001    │         0.2          │     4      │ 0.513 &plusmn; 0.007 │ 36.498 &plusmn; 11.002  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         218         │    939    │   0.005    │ 0.13754970812823716  │     1      │ 0.484 &plusmn; 0.006 │ 32.524 &plusmn; 11.587  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         215         │    939    │   0.005    │  0.1352517688448764  │     1      │ 0.484 &plusmn; 0.005 │ 32.427 &plusmn; 11.595  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         211         │    939    │   0.005    │ 0.13334900486171905  │     1      │ 0.483 &plusmn; 0.005 │ 32.305 &plusmn; 11.608  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         208         │    939    │   0.005    │ 0.13121572793086203  │     1      │ 0.482 &plusmn; 0.005 │ 32.218 &plusmn; 11.622  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         204         │    939    │   0.005    │  0.129161681498328   │     1      │ 0.481 &plusmn; 0.005 │ 32.108 &plusmn; 11.643  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         199         │    939    │    0.01    │ 0.12754074135103868  │     1      │ 0.479 &plusmn; 0.005 │ 31.960 &plusmn; 11.450  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         195         │    939    │    0.01    │  0.1254708356745268  │     1      │ 0.478 &plusmn; 0.005 │ 31.865 &plusmn; 11.480  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         190         │    939    │    0.01    │ 0.12378676018195975  │     1      │ 0.476 &plusmn; 0.005 │ 31.757 &plusmn; 11.523  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         183         │    940    │    0.01    │ 0.12199145994923392  │     1      │ 0.473 &plusmn; 0.004 │ 31.620 &plusmn; 11.553  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         178         │    939    │    0.01    │ 0.12050676371694279  │     1      │ 0.471 &plusmn; 0.004 │ 31.541 &plusmn; 11.657  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         169         │    939    │    0.01    │ 0.11915949989043428  │     1      │ 0.468 &plusmn; 0.004 │ 31.422 &plusmn; 11.788  │
├─────────────────────┼───────────┼────────────┼──────────────────────┼────────────┼───────────────┼──────────────────┤
│         160         │    939    │    0.01    │ 0.11777839237982567  │     1      │ 0.464 &plusmn; 0.004 │ 31.338 &plusmn; 11.952  │
└─────────────────────┴───────────┴────────────┴──────────────────────┴────────────┴───────────────┴──────────────────┘
</pre>
			<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_samples,confidence,feature_proportion,n_clusters
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.578890965732087203754474558082,76.307706832885742187500000000000,2675,927,0.005000000000000000104083408559,0.087955921888351440429687500000,3
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.614056074766355153293773128098,148.295463323593139648437500000000,908,398,0.100000000000000005551115123126,0.196303996071219455377132590002,2
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.616996884735202533178721751028,173.789375543594360351562500000000,1348,625,0.010000000000000000208166817117,0.021565718203783036666099093281,1
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.621632398753894088727633970848,306.627836227416992187500000000000,3105,249,0.100000000000000005551115123126,0.112729337811470042840511496252,4
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.610591900311526436517794991232,139.963609457015991210937500000000,3515,683,0.025000000000000001387778780781,0.144360431656241433584497713127,4
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.611725856697819314611308527674,495.709876298904418945312500000000,1811,192,0.001000000000000000020816681712,0.039921658113598823547363281250,1
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.548436137071651064189836688456,56.915634155273437500000000000000,508,872,0.250000000000000000000000000000,0.165453389286994934082031250000,2
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.552186915887850515716195332061,60.339310884475708007812500000000,2202,453,0.025000000000000001387778780781,0.068817967921495443173185435626,3
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.564012461059190006729124888807,78.945506572723388671875000000000,2329,552,0.250000000000000000000000000000,0.035103990510106090894293373594,2
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.547763239875389440491915138409,51.339449644088745117187500000000,128,322,0.010000000000000000208166817117,0.130662178620696067810058593750,3
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.608884735202492199945822903828,139.324911117553710937500000000000,1692,997,0.050000000000000002775557561563,0.056155810505151754208341685626,4
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.619339563862928321746892379451,309.678549051284790039062500000000,3887,329,0.001000000000000000020816681712,0.159523427486419677734375000000,1
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.608872274143302139037814413314,144.498249053955078125000000000000,3484,826,0.010000000000000000208166817117,0.178672837838530551568538840002,1
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.614230529595015561916682145238,191.918526649475097656250000000000,1221,499,0.100000000000000005551115123126,0.087017847970128070489437277502,4
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.586679127725856730535269889515,69.122207164764404296875000000000,536,720,0.005000000000000000104083408559,0.112293255329132091180355246252,3
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.619464174454828708782372359565,326.203475713729858398437500000000,2794,156,0.050000000000000002775557561563,0.003459940105676651347921257695,2
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.589619937694703999397916049929,85.284116744995117187500000000000,2894,764,0.025000000000000001387778780781,0.170522647723555575982601340002,4
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.628137071651090339585721267213,307.531135797500610351562500000000,670,111,0.250000000000000000000000000000,0.063737078383564946260086969687,1
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.593644859813084124766646709759,97.338754177093505859375000000000,1103,784,0.001000000000000000020816681712,0.138510495424270629882812500000,2
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.609607476635514067275778415933,156.718510389328002929687500000000,3338,541,0.050000000000000002775557561563,0.045784369856119160047125404844,3
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.605993769470404952670605780440,131.568467855453491210937500000000,3800,952,0.100000000000000005551115123126,0.014141078665852548079673312031,3
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.612448598130841070918961577263,259.473201274871826171875000000000,1513,374,0.010000000000000000208166817117,0.120142346248030662536621093750,2
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.522529595015576275862656530080,45.371855020523071289062500000000,197,593,0.050000000000000002775557561563,0.094599882513284688778654185626,1
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.613881619937694744670864110958,116.140657663345336914062500000000,2494,281,0.005000000000000000104083408559,0.189672809839248668328792746252,4
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.458056074766355125760242117394,37.709308147430419921875000000000,2118,857,0.050000000000000002775557561563,0.104880824312567719203137528439,1
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.578866043613707192960760039568,88.989662885665893554687500000000,328,467,0.001000000000000000020816681712,0.010885154083371163455384866836,4
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.611152647975077845110547514196,174.559259653091430664062500000000,1882,695,0.100000000000000005551115123126,0.185304591059684775622429242503,3
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.621856697819314629960274487530,479.509878158569335937500000000000,3678,180,0.005000000000000000104083408559,0.080374456197023394499190374063,2
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.607040498442367626452664808312,133.314219474792480468750000000000,3207,640,0.001000000000000000020816681712,0.061237274482846264234137123594,2
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.620149532710280393388302400126,361.218223333358764648437500000000,1479,234,0.025000000000000001387778780781,0.154454746469855325186060213127,3
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.551065420560747698530690286134,61.055417776107788085937500000000,2486,882,0.010000000000000000208166817117,0.027739278107548157037420821780,1
31,31_0,FAILED,BoTorch,GenerationStep_1,,,30,307,0.100000000000000005551115123126,0.159968432140086130877065784262,4
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.585781931464174454582405360270,71.923722505569458007812500000000,476,569,0.010000000000000000208166817117,0.200000000000000011102230246252,1
33,33_0,FAILED,BoTorch,GenerationStep_1,,,10,308,0.001000000000000000020816681712,0.200000000000000011102230246252,4
34,34_0,FAILED,BoTorch,GenerationStep_1,,,3056,871,0.050000000000000002775557561563,0.000000000000000000000000000000,3
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.439813084112149532689528541596,34.796980857849121093750000000000,47,586,0.050000000000000002775557561563,0.189124521534947104273172158173,3
36,36_0,FAILED,BoTorch,GenerationStep_1,,,10,874,0.005000000000000000104083408559,0.000000000000000000000000000000,1
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.430242990654205625933315104703,28.528933525085449218750000000000,10,305,0.100000000000000005551115123126,0.000852059359741888684702804113,4
38,38_0,FAILED,BoTorch,GenerationStep_1,,,277,831,0.250000000000000000000000000000,0.000000000000000000000000000000,3
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.604261682242990705304919174523,157.356042146682739257812500000000,3016,579,0.001000000000000000020816681712,0.200000000000000011102230246252,1
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.457744548286604380216147092142,31.434023380279541015625000000000,65,567,0.250000000000000000000000000000,0.200000000000000011102230246252,1
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.603663551401869113988141180016,93.808329582214355468750000000000,2867,598,0.100000000000000005551115123126,0.168646739338756596060520109859,4
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.594691588785046687526403275115,80.368528366088867187500000000000,927,893,0.001000000000000000020816681712,0.108187641617833063545361937940,1
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.540386292834890924474677831313,46.270461320877075195312500000000,168,462,0.001000000000000000020816681712,0.171778270760550771933949931736,1
44,44_0,FAILED,BoTorch,GenerationStep_1,,,178,755,0.050000000000000002775557561563,0.000000000000000000000000000000,3
45,45_0,FAILED,BoTorch,GenerationStep_1,,,1818,860,0.025000000000000001387778780781,0.000000000000000000000000000000,4
46,46_0,FAILED,BoTorch,GenerationStep_1,,,3191,738,0.005000000000000000104083408559,0.000000000000000000000000000000,2
47,47_0,FAILED,BoTorch,GenerationStep_1,,,1006,891,0.250000000000000000000000000000,0.000000000000000000000000000000,1
48,48_0,FAILED,BoTorch,GenerationStep_1,,,2271,596,0.100000000000000005551115123126,0.000000000000000000000000000000,4
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.611838006230529640738780017273,155.504429817199707031250000000000,3620,583,0.250000000000000000000000000000,0.200000000000000011102230246252,1
50,50_0,FAILED,BoTorch,GenerationStep_1,,,4000,897,0.001000000000000000020816681712,0.000000000000000000000000000000,1
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.609595015576324006367769925419,128.371963977813720703125000000000,3913,889,0.010000000000000000208166817117,0.181092001923647855088361779963,2
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.608560747663551393493719388061,79.666688442230224609375000000000,2758,736,0.010000000000000000208166817117,0.092143910147417115719115088268,1
53,53_0,FAILED,BoTorch,GenerationStep_1,,,10,757,0.050000000000000002775557561563,0.000000000000000000000000000000,2
54,54_0,FAILED,BoTorch,GenerationStep_1,,,10,317,0.050000000000000002775557561563,0.000000000000000000000000000000,4
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.545196261682242999668801530788,54.008094072341918945312500000000,2158,451,0.010000000000000000208166817117,0.124785291614737045562399941900,1
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.605906542056074748359151271870,115.426237583160400390625000000000,1610,906,0.001000000000000000020816681712,0.200000000000000011102230246252,1
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.608423676012461056572533379949,156.295476913452148437500000000000,3841,882,0.100000000000000005551115123126,0.108338022403342407185000695335,4
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.603688473520249235804158161045,85.721725702285766601562500000000,2713,722,0.001000000000000000020816681712,0.031279995614651764923586085843,1
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.610093457943925221442782458325,144.490674018859863281250000000000,3962,856,0.025000000000000001387778780781,0.062884683825181655891789489488,4
60,60_0,FAILED,BoTorch,GenerationStep_1,,,1690,575,0.250000000000000000000000000000,0.000000000000000000000000000000,4
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.612984423676012468717999581713,230.385140419006347656250000000000,1756,439,0.250000000000000000000000000000,0.200000000000000011102230246252,4
62,62_0,FAILED,BoTorch,GenerationStep_1,,,699,851,0.025000000000000001387778780781,0.000000000000000000000000000000,1
63,63_0,FAILED,BoTorch,GenerationStep_1,,,846,574,0.250000000000000000000000000000,0.000000000000000000000000000000,4
64,64_0,FAILED,BoTorch,GenerationStep_1,,,1232,438,0.250000000000000000000000000000,0.000000000000000000000000000000,1
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.418492211838006222812680334755,30.072325229644775390625000000000,10,297,0.001000000000000000020816681712,0.200000000000000011102230246252,4
66,66_0,FAILED,BoTorch,GenerationStep_1,,,825,571,0.250000000000000000000000000000,0.000000000000000000000000000000,1
67,67_0,FAILED,BoTorch,GenerationStep_1,,,1763,749,0.250000000000000000000000000000,0.000000000000000000000000000000,4
68,68_0,FAILED,BoTorch,GenerationStep_1,,,1762,295,0.250000000000000000000000000000,0.000000000000000000000000000000,4
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.609919003115264812819873441185,284.574575185775756835937500000000,1612,296,0.250000000000000000000000000000,0.200000000000000011102230246252,3
70,70_0,FAILED,BoTorch,GenerationStep_1,,,10,847,0.001000000000000000020816681712,0.000000000000000000000000000000,1
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.619202492211837984825706371339,215.662546873092651367187500000000,3855,434,0.001000000000000000020816681712,0.200000000000000011102230246252,4
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.614205607476635551122967626725,147.261192083358764648437500000000,3053,436,0.250000000000000000000000000000,0.200000000000000011102230246252,1
73,73_0,FAILED,BoTorch,GenerationStep_1,,,958,843,0.250000000000000000000000000000,0.000000000000000000000000000000,1
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.614890965732087235728897667286,141.335652112960815429687500000000,673,296,0.250000000000000000000000000000,0.200000000000000011102230246252,1
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.613744548286604407749678102846,272.639654159545898437500000000000,1945,434,0.250000000000000000000000000000,0.200000000000000011102230246252,4
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.404473520249221174527320954439,30.190459251403808593750000000000,10,435,0.001000000000000000020816681712,0.200000000000000011102230246252,4
77,77_0,FAILED,BoTorch,GenerationStep_1,,,10,955,0.001000000000000000020816681712,0.000000000000000000000000000000,4
78,78_0,FAILED,BoTorch,GenerationStep_1,,,385,850,0.001000000000000000020816681712,0.000000000000000000000000000000,4
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.613507788161993805609029095649,145.820077180862426757812500000000,1694,749,0.250000000000000000000000000000,0.200000000000000011102230246252,4
80,80_0,FAILED,BoTorch,GenerationStep_1,,,1325,855,0.250000000000000000000000000000,0.000000000000000000000000000000,1
81,81_0,FAILED,BoTorch,GenerationStep_1,,,10,298,0.001000000000000000020816681712,0.000000000000000000000000000000,1
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.602392523364486009995744097978,97.816546440124511718750000000000,1523,954,0.250000000000000000000000000000,0.200000000000000011102230246252,3
83,83_0,FAILED,BoTorch,GenerationStep_1,,,492,749,0.001000000000000000020816681712,0.000000000000000000000000000000,4
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.607750778816199321852309367387,121.544776439666748046875000000000,3693,952,0.001000000000000000020816681712,0.200000000000000011102230246252,4
85,85_0,FAILED,BoTorch,GenerationStep_1,,,762,434,0.050000000000000002775557561563,0.000000000000000000000000000000,1
86,86_0,FAILED,BoTorch,GenerationStep_1,,,1419,294,0.250000000000000000000000000000,0.000000000000000000000000000000,1
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.615588785046728981242836198362,290.821623802185058593750000000000,1763,295,0.250000000000000000000000000000,0.200000000000000011102230246252,4
88,88_0,FAILED,BoTorch,GenerationStep_1,,,424,574,0.250000000000000000000000000000,0.000000000000000000000000000000,4
89,89_0,FAILED,BoTorch,GenerationStep_1,,,4000,428,0.001000000000000000020816681712,0.000000000000000000000000000000,4
90,90_0,FAILED,BoTorch,GenerationStep_1,,,519,303,0.005000000000000000104083408559,0.002478598260425365126108365743,4
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.609993769470404956223319459241,118.273207902908325195312500000000,673,449,0.025000000000000001387778780781,0.008752717803697169715593240369,2
92,92_0,FAILED,BoTorch,GenerationStep_1,,,678,853,0.100000000000000005551115123126,0.000000000000000000000000000000,1
93,93_0,FAILED,BoTorch,GenerationStep_1,,,1631,750,0.001000000000000000020816681712,0.000000000000000000000000000000,4
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.592523364485981307581141663832,107.685655355453491210937500000000,696,591,0.250000000000000000000000000000,0.017008800266036471632302706780,4
95,95_0,FAILED,BoTorch,GenerationStep_1,,,676,297,0.001000000000000000020816681712,0.000000000000000000000000000000,4
96,96_0,FAILED,BoTorch,GenerationStep_1,,,606,900,0.100000000000000005551115123126,0.000000000000000000000000000000,1
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.600959501557632447266144026798,118.945063114166259765625000000000,1459,817,0.250000000000000000000000000000,0.037971603349025107032588266520,2
98,98_0,FAILED,BoTorch,GenerationStep_1,,,661,883,0.001000000000000000020816681712,0.000000000000000000000000000000,4
99,99_0,FAILED,BoTorch,GenerationStep_1,,,741,465,0.100000000000000005551115123126,0.000000000000000000000000000000,1
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.613433021806853551183280615078,140.413797378540039062500000000000,734,310,0.001000000000000000020816681712,0.039228975618062024433019274738,4
101,101_0,FAILED,BoTorch,GenerationStep_1,,,774,868,0.025000000000000001387778780781,0.000000000000000000000000000000,2
102,102_0,FAILED,BoTorch,GenerationStep_1,,,575,438,0.050000000000000002775557561563,0.000000000000000000000000000000,1
103,103_0,FAILED,BoTorch,GenerationStep_1,,,873,486,0.010000000000000000208166817117,0.000000000000000000000000000000,1
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.567912772585669745062375568523,75.207271099090576171875000000000,588,816,0.250000000000000000000000000000,0.026851543684910335330062736148,1
105,105_0,FAILED,BoTorch,GenerationStep_1,,,1674,301,0.001000000000000000020816681712,0.000000000000000000000000000000,4
106,106_0,FAILED,BoTorch,GenerationStep_1,,,786,833,0.025000000000000001387778780781,0.000000000000000000000000000000,4
107,107_0,FAILED,BoTorch,GenerationStep_1,,,699,949,0.025000000000000001387778780781,0.000000000000000000000000000000,1
108,108_0,FAILED,BoTorch,GenerationStep_1,,,4000,468,0.050000000000000002775557561563,0.000000000000000000000000000000,1
109,109_0,FAILED,BoTorch,GenerationStep_1,,,633,442,0.250000000000000000000000000000,0.000000000000000000000000000000,1
110,110_0,FAILED,BoTorch,GenerationStep_1,,,658,774,0.050000000000000002775557561563,0.000000000000000000000000000000,3
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.572386292834890952896387261717,65.690876245498657226562500000000,732,981,0.001000000000000000020816681712,0.020766204835648633536537843725,1
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.623514018691588733922515075392,275.482978343963623046875000000000,532,100,0.001000000000000000020816681712,0.129094048764109570193170384300,4
113,113_0,FAILED,BoTorch,GenerationStep_1,,,814,284,0.001000000000000000020816681712,0.000000000000000000000000000000,4
114,114_0,FAILED,BoTorch,GenerationStep_1,,,589,904,0.025000000000000001387778780781,0.000000000000000000000000000000,4
115,115_0,FAILED,BoTorch,GenerationStep_1,,,684,593,0.001000000000000000020816681712,0.000000000000000000000000000000,4
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.604137071651090318269439194410,90.253977060317993164062500000000,626,460,0.010000000000000000208166817117,0.200000000000000011102230246252,2
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.614168224299065368398942155181,154.266240358352661132812500000000,2658,288,0.001000000000000000020816681712,0.084129290333639222820849568052,4
118,118_0,FAILED,BoTorch,GenerationStep_1,,,1402,782,0.005000000000000000104083408559,0.000000000000000000000000000000,4
119,119_0,FAILED,BoTorch,GenerationStep_1,,,666,293,0.001000000000000000020816681712,0.000000000000000000000000000000,2
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.594342679127725870280585240835,124.485344886779785156250000000000,2397,487,0.001000000000000000020816681712,0.003689519962727331060109436933,1
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.631725856697819332374876921676,140.766286849975585937500000000000,236,100,0.250000000000000000000000000000,0.200000000000000011102230246252,4
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.602193146417445479556818099809,78.909715414047241210937500000000,2434,448,0.001000000000000000020816681712,0.200000000000000011102230246252,1
123,123_0,FAILED,BoTorch,GenerationStep_1,,,243,100,0.001000000000000000020816681712,0.000000000000000000000000000000,4
124,124_0,FAILED,BoTorch,GenerationStep_1,,,2722,479,0.100000000000000005551115123126,0.000000000000000000000000000000,1
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.570828660436137114153609672940,63.100116729736328125000000000000,2358,526,0.001000000000000000020816681712,0.200000000000000011102230246252,4
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.623875389408099723098644062702,91.880923748016357421875000000000,252,193,0.001000000000000000020816681712,0.200000000000000011102230246252,4
127,127_0,FAILED,BoTorch,GenerationStep_1,,,2426,373,0.001000000000000000020816681712,0.000000000000000000000000000000,1
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.607015576323987504636647827283,98.428467273712158203125000000000,2727,465,0.010000000000000000208166817117,0.200000000000000011102230246252,1
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.611090342679127762615109986655,129.482469558715820312500000000000,2590,456,0.010000000000000000208166817117,0.200000000000000011102230246252,1
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.625109034267912755389318135713,230.733539819717407226562500000000,2369,191,0.001000000000000000020816681712,0.200000000000000011102230246252,4
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.641246105919003106521358859027,173.089097738265991210937500000000,262,100,0.001000000000000000020816681712,0.200000000000000011102230246252,4
132,132_0,FAILED,BoTorch,GenerationStep_1,,,2340,533,0.001000000000000000020816681712,0.000000000000000000000000000000,1
133,133_0,FAILED,BoTorch,GenerationStep_1,,,2398,486,0.001000000000000000020816681712,0.000000000000000000000000000000,4
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.589632398753894060305924540444,65.196099281311035156250000000000,2384,509,0.001000000000000000020816681712,0.200000000000000011102230246252,1
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.620348909657320923827228398295,84.031931161880493164062500000000,240,209,0.250000000000000000000000000000,0.200000000000000011102230246252,4
136,136_0,FAILED,BoTorch,GenerationStep_1,,,3283,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,4
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.633844236760124579710407033417,182.321251153945922851562500000000,2339,100,0.250000000000000000000000000000,0.200000000000000011102230246252,4
138,138_0,FAILED,BoTorch,GenerationStep_1,,,2413,433,0.001000000000000000020816681712,0.000000000000000000000000000000,4
139,139_0,FAILED,BoTorch,GenerationStep_1,,,2779,439,0.001000000000000000020816681712,0.000000000000000000000000000000,1
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.614180685358255429306950645696,204.352341413497924804687500000000,4000,514,0.250000000000000000000000000000,0.200000000000000011102230246252,1
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.469445482866043595215899131290,34.920335531234741210937500000000,174,974,0.001000000000000000020816681712,0.200000000000000011102230246252,4
142,142_0,FAILED,BoTorch,GenerationStep_1,,,2320,582,0.001000000000000000020816681712,0.000000000000000000000000000000,4
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.611950155763239855843949044356,91.489401340484619140625000000000,2387,348,0.001000000000000000020816681712,0.200000000000000011102230246252,4
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.607813084112149515370049357443,154.681811094284057617187500000000,2731,398,0.250000000000000000000000000000,0.200000000000000011102230246252,1
145,145_0,FAILED,BoTorch,GenerationStep_1,,,247,100,0.250000000000000000000000000000,0.000000000000000000000000000000,1
146,146_0,FAILED,BoTorch,GenerationStep_1,,,3166,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,1
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.594093457943925207231927743123,103.204618215560913085937500000000,1253,1000,0.250000000000000000000000000000,0.200000000000000011102230246252,4
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.606791277258566963404007310601,101.040822505950927734375000000000,2597,439,0.100000000000000005551115123126,0.200000000000000011102230246252,1
149,149_0,FAILED,BoTorch,GenerationStep_1,,,2374,422,0.001000000000000000020816681712,0.000000000000000000000000000000,1
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.603663551401869113988141180016,97.403449296951293945312500000000,2504,498,0.001000000000000000020816681712,0.111983394807356875788606487276,4
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.543389408099688497877366444300,49.684279680252075195312500000000,161,419,0.250000000000000000000000000000,0.155723399567828796330459795172,4
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.485781931464174476786865852773,34.428333282470703125000000000000,188,924,0.001000000000000000020816681712,0.082868987335306440455973131520,4
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.607090342679127759062396307854,92.501557111740112304687500000000,2568,459,0.001000000000000000020816681712,0.114160817493183117110611135558,1
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.561171339563862892063639264961,62.081666707992553710937500000000,2667,1000,0.250000000000000000000000000000,0.200000000000000011102230246252,1
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.525956386292834920936911657918,54.149929761886596679687500000000,450,1000,0.001000000000000000020816681712,0.087459044990944270758781442510,4
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.556485981308411203904995545599,56.018726110458374023437500000000,2490,822,0.250000000000000000000000000000,0.067138609687520861557530338359,4
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.560610591900311483470886741998,60.652454614639282226562500000000,563,895,0.001000000000000000020816681712,0.200000000000000011102230246252,4
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.488623052959501535941200245361,50.173628330230712890625000000000,76,443,0.250000000000000000000000000000,0.034730300015906413746424874489,1
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.593595015576323992156915210217,71.098054647445678710937500000000,2408,511,0.001000000000000000020816681712,0.110357134786626037703527458689,4
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.489208722741433010838818518096,41.259029150009155273437500000000,173,784,0.001000000000000000020816681712,0.200000000000000011102230246252,4
161,161_0,FAILED,BoTorch,GenerationStep_1,,,266,168,0.001000000000000000020816681712,0.000000000000000000000000000000,4
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.433320872274143287228298504488,31.110738277435302734375000000000,111,1000,0.250000000000000000000000000000,0.200000000000000011102230246252,1
163,163_0,FAILED,BoTorch,GenerationStep_1,,,222,397,0.250000000000000000000000000000,0.000000000000000000000000000000,4
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.451663551401869145518475079371,34.870040416717529296875000000000,158,1000,0.250000000000000000000000000000,0.003329566215779033479249537919,4
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.462130841121495328227553045508,34.546654462814331054687500000000,123,779,0.100000000000000005551115123126,0.200000000000000011102230246252,1
166,166_0,FAILED,BoTorch,GenerationStep_1,,,3281,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,4
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.574168224299065443894107829692,73.523483276367187500000000000000,2404,593,0.001000000000000000020816681712,0.101216233031466554259658607862,4
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.418566978193146421727277584068,30.797226667404174804687500000000,79,1000,0.001000000000000000020816681712,0.075473157465120899178856461731,1
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.549258566978193196739255199645,61.759251356124877929687500000000,578,1000,0.001000000000000000020816681712,0.200000000000000011102230246252,1
170,170_0,FAILED,BoTorch,GenerationStep_1,,,2792,822,0.250000000000000000000000000000,0.000000000000000000000000000000,4
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.604211838006230572695187674981,102.797202825546264648437500000000,2749,519,0.001000000000000000020816681712,0.099276406930915259141379181074,4
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.539202492211838024793735257845,49.816471099853515625000000000000,487,1000,0.250000000000000000000000000000,0.091865652592296287437534374476,1
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.581482866043613655371302684216,70.899470567703247070312500000000,875,1000,0.250000000000000000000000000000,0.066354397380029170316895203996,4
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.606990654205607493842933308770,138.719579458236694335937500000000,1817,783,0.001000000000000000020816681712,0.084433018171788748462702756115,4
175,175_0,FAILED,BoTorch,GenerationStep_1,,,262,100,0.001000000000000000020816681712,0.000000000000000000000000000000,4
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.563962616822429874119393389265,64.895271778106689453125000000000,2672,1000,0.250000000000000000000000000000,0.090964005123798943874824374234,4
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.551401869158878454868499829900,61.303530216217041015625000000000,2560,997,0.001000000000000000020816681712,0.200000000000000011102230246252,1
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.579376947040498468943781062990,59.173320293426513671875000000000,238,386,0.250000000000000000000000000000,0.095861634697190029053004423076,4
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.543962616822429856355824995262,44.732726573944091796875000000000,131,377,0.250000000000000000000000000000,0.200000000000000011102230246252,4
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.568361370716510938549959064403,58.087967872619628906250000000000,2511,836,0.250000000000000000000000000000,0.200000000000000011102230246252,1
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.598093457943925210784641421924,68.883549928665161132812500000000,245,318,0.001000000000000000020816681712,0.200000000000000011102230246252,4
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.626903426791277307295047194202,106.225252389907836914062500000000,267,161,0.001000000000000000020816681712,0.200000000000000011102230246252,4
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.548498442367601257707576678513,48.797197818756103515625000000000,93,309,0.250000000000000000000000000000,0.200000000000000011102230246252,1
184,184_0,FAILED,BoTorch,GenerationStep_1,,,3156,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.589769470404984397227110548556,58.806325435638427734375000000000,203,313,0.250000000000000000000000000000,0.200000000000000011102230246252,1
186,186_0,FAILED,BoTorch,GenerationStep_1,,,233,878,0.001000000000000000020816681712,0.000000000000000000000000000000,1
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.577557632398753906244337485987,64.915504693984985351562500000000,2642,841,0.001000000000000000020816681712,0.200000000000000011102230246252,1
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.504535825545171290329449220735,39.213952302932739257812500000000,173,656,0.001000000000000000020816681712,0.200000000000000011102230246252,1
189,189_0,FAILED,BoTorch,GenerationStep_1,,,157,792,0.250000000000000000000000000000,0.000000000000000000000000000000,4
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.602118380062305336153372081753,119.765000820159912109375000000000,1787,912,0.250000000000000000000000000000,0.200000000000000011102230246252,1
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.518267912772585659375579325570,62.069527387619018554687500000000,2416,887,0.250000000000000000000000000000,0.200000000000000011102230246252,1
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.616760124610591931038072743831,78.368792772293090820312500000000,261,266,0.001000000000000000020816681712,0.200000000000000011102230246252,4
193,193_0,FAILED,BoTorch,GenerationStep_1,,,202,268,0.001000000000000000020816681712,0.000000000000000000000000000000,1
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.594454828660436085385754267918,90.183513879776000976562500000000,3250,1000,0.250000000000000000000000000000,0.200000000000000011102230246252,4
195,195_0,FAILED,BoTorch,GenerationStep_1,,,4000,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
196,196_0,FAILED,BoTorch,GenerationStep_1,,,2743,889,0.250000000000000000000000000000,0.000000000000000000000000000000,1
197,197_0,FAILED,BoTorch,GenerationStep_1,,,2444,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.552336448598130802523087368172,60.654381990432739257812500000000,2421,817,0.001000000000000000020816681712,0.200000000000000011102230246252,1
199,199_0,FAILED,BoTorch,GenerationStep_1,,,148,682,0.001000000000000000020816681712,0.000000000000000000000000000000,1
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.598168224299065465210389902495,95.442717313766479492187500000000,3314,1000,0.001000000000000000020816681712,0.200000000000000011102230246252,1
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.567464174454828662597094535158,50.381419897079467773437500000000,153,322,0.250000000000000000000000000000,0.200000000000000011102230246252,1
202,202_0,FAILED,BoTorch,GenerationStep_1,,,627,889,0.001000000000000000020816681712,0.000000000000000000000000000000,4
203,203_0,FAILED,BoTorch,GenerationStep_1,,,3189,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,4
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.576623052959501558589749947714,69.873201131820678710937500000000,171,308,0.250000000000000000000000000000,0.200000000000000011102230246252,4
205,205_0,FAILED,BoTorch,GenerationStep_1,,,422,822,0.250000000000000000000000000000,0.000000000000000000000000000000,4
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.520660436137071691575783916051,45.446992635726928710937500000000,366,889,0.001000000000000000020816681712,0.200000000000000011102230246252,1
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.567489096573208673390809053672,56.158847093582153320312500000000,2462,732,0.250000000000000000000000000000,0.200000000000000011102230246252,1
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.607277258566978228593313815509,129.616455316543579101562500000000,4000,1000,0.001000000000000000020816681712,0.200000000000000011102230246252,1
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.550031152647975085656639748777,54.581964492797851562500000000000,2488,877,0.250000000000000000000000000000,0.200000000000000011102230246252,4
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.489395638629283480369736025750,43.534347534179687500000000000000,192,779,0.001000000000000000020816681712,0.002256141414090021956456721952,4
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.513171339563862960453377581871,37.061887979507446289062500000000,53,275,0.250000000000000000000000000000,0.082275050786764197807698906217,1
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.532660436137071702233924952452,46.829876899719238281250000000000,241,628,0.250000000000000000000000000000,0.200000000000000011102230246252,4
213,213_0,FAILED,BoTorch,GenerationStep_1,,,176,293,0.001000000000000000020816681712,0.000000000000000000000000000000,1
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.462778816199376941131760077042,40.390241146087646484375000000000,126,796,0.250000000000000000000000000000,0.048103921523861434272895110098,1
215,215_0,FAILED,BoTorch,GenerationStep_1,,,217,100,0.250000000000000000000000000000,0.000000000000000000000000000000,1
216,216_0,FAILED,BoTorch,GenerationStep_1,,,3231,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
217,217_0,FAILED,BoTorch,GenerationStep_1,,,247,232,0.001000000000000000020816681712,0.000000000000000000000000000000,1
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.569133956386292827467343613534,64.280584812164306640625000000000,2527,795,0.001000000000000000020816681712,0.131133340438320616927470041446,4
219,219_0,FAILED,BoTorch,GenerationStep_1,,,224,271,0.001000000000000000020816681712,0.000000000000000000000000000000,4
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.623190031152647927470411559625,98.553036689758300781250000000000,232,157,0.250000000000000000000000000000,0.200000000000000011102230246252,1
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.486704049844236763533444900531,38.811905860900878906250000000000,258,959,0.250000000000000000000000000000,0.117412783708891743650326588977,1
222,222_0,FAILED,BoTorch,GenerationStep_1,,,87,232,0.001000000000000000020816681712,0.000000000000000000000000000000,1
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.505084112149532749036495715700,44.226315021514892578125000000000,239,724,0.250000000000000000000000000000,0.200000000000000011102230246252,4
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.593570093457943870340898229188,87.983737230300903320312500000000,877,823,0.250000000000000000000000000000,0.200000000000000011102230246252,1
225,225_0,FAILED,BoTorch,GenerationStep_1,,,405,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,1
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.472809968847352046772414269071,42.493875503540039062500000000000,39,352,0.250000000000000000000000000000,0.104981785322788845338237706528,1
227,227_0,FAILED,BoTorch,GenerationStep_1,,,47,145,0.250000000000000000000000000000,0.000000000000000000000000000000,4
228,228_0,FAILED,BoTorch,GenerationStep_1,,,3066,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,4
229,229_0,FAILED,BoTorch,GenerationStep_1,,,448,901,0.250000000000000000000000000000,0.000000000000000000000000000000,4
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.572361370716510942102672743204,60.874253749847412109375000000000,526,742,0.250000000000000000000000000000,0.200000000000000011102230246252,4
231,231_0,FAILED,BoTorch,GenerationStep_1,,,2845,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
232,232_0,FAILED,BoTorch,GenerationStep_1,,,2438,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,4
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.634242990654205640588259029755,136.333097457885742187500000000000,252,125,0.001000000000000000020816681712,0.200000000000000011102230246252,1
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.486791277258566967844899409101,37.040899753570556640625000000000,149,700,0.250000000000000000000000000000,0.124047816434128391205327091029,4
235,235_0,FAILED,BoTorch,GenerationStep_1,,,2918,910,0.250000000000000000000000000000,0.000000000000000000000000000000,1
236,236_0,FAILED,BoTorch,GenerationStep_1,,,4000,616,0.001000000000000000020816681712,0.000000000000000000000000000000,4
237,237_0,FAILED,BoTorch,GenerationStep_1,,,966,916,0.250000000000000000000000000000,0.000000000000000000000000000000,4
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.454866043613707138337787228011,36.211555242538452148437500000000,147,992,0.250000000000000000000000000000,0.131215901328070927434055192862,4
239,239_0,FAILED,BoTorch,GenerationStep_1,,,182,885,0.250000000000000000000000000000,0.000000000000000000000000000000,1
240,240_0,FAILED,BoTorch,GenerationStep_1,,,3154,856,0.250000000000000000000000000000,0.000000000000000000000000000000,1
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.558193146417445440476967633003,69.627045154571533203125000000000,2253,482,0.001000000000000000020816681712,0.200000000000000011102230246252,4
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.591975077881619959896397631383,162.016562700271606445312500000000,2957,1000,0.001000000000000000020816681712,0.200000000000000011102230246252,1
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.520236760124610619904217401199,44.867469549179077148437500000000,2232,693,0.001000000000000000020816681712,0.200000000000000011102230246252,4
244,244_0,FAILED,BoTorch,GenerationStep_1,,,30,156,0.250000000000000000000000000000,0.000000000000000000000000000000,1
245,245_0,FAILED,BoTorch,GenerationStep_1,,,2055,967,0.250000000000000000000000000000,0.000000000000000000000000000000,4
246,246_0,FAILED,BoTorch,GenerationStep_1,,,186,216,0.250000000000000000000000000000,0.000000000000000000000000000000,1
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.595464174454828687466090286762,88.895566225051879882812500000000,3138,853,0.250000000000000000000000000000,0.200000000000000011102230246252,4
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.571040498442367594478241699107,72.774924039840698242187500000000,2290,450,0.001000000000000000020816681712,0.200000000000000011102230246252,4
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.592984423676012450954431187711,81.697422981262207031250000000000,3055,903,0.250000000000000000000000000000,0.200000000000000011102230246252,1
250,250_0,FAILED,BoTorch,GenerationStep_1,,,1122,100,0.001000000000000000020816681712,0.000000000000000000000000000000,1
251,251_0,FAILED,BoTorch,GenerationStep_1,,,3234,824,0.250000000000000000000000000000,0.000000000000000000000000000000,4
252,252_0,FAILED,BoTorch,GenerationStep_1,,,3006,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.536000000000000031974423109205,46.510665655136108398437500000000,2224,539,0.001000000000000000020816681712,0.200000000000000011102230246252,4
254,254_0,FAILED,BoTorch,GenerationStep_1,,,984,639,0.001000000000000000020816681712,0.000000000000000000000000000000,1
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.361831775700934554773624540758,26.830154180526733398437500000000,2019,1000,0.001000000000000000020816681712,0.200000000000000011102230246252,4
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.629258566978193156771226313140,539.998976707458496093750000000000,1053,182,0.250000000000000000000000000000,0.200000000000000011102230246252,1
257,257_0,FAILED,BoTorch,GenerationStep_1,,,2207,763,0.250000000000000000000000000000,0.000000000000000000000000000000,4
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.494666666666666643425998017847,43.270508050918579101562500000000,2200,732,0.250000000000000000000000000000,0.200000000000000011102230246252,4
259,259_0,FAILED,BoTorch,GenerationStep_1,,,111,203,0.250000000000000000000000000000,0.000000000000000000000000000000,1
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.617395638629283483034271284851,230.708984613418579101562500000000,1027,242,0.001000000000000000020816681712,0.200000000000000011102230246252,4
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.596834890965732056677950367884,100.598099470138549804687500000000,965,627,0.250000000000000000000000000000,0.200000000000000011102230246252,1
262,262_0,FAILED,BoTorch,GenerationStep_1,,,2969,921,0.250000000000000000000000000000,0.000000000000000000000000000000,1
263,263_0,FAILED,BoTorch,GenerationStep_1,,,2361,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,4
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.594616822429906544122957257059,77.051469802856445312500000000000,2657,642,0.001000000000000000020816681712,0.200000000000000011102230246252,1
265,265_0,FAILED,BoTorch,GenerationStep_1,,,465,353,0.001000000000000000020816681712,0.200000000000000011102230246252,4
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.606965732087227372026916327741,112.611510992050170898437500000000,1958,1000,0.001000000000000000020816681712,0.200000000000000011102230246252,4
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.545084112149532673541330041189,61.038481473922729492187500000000,2330,704,0.250000000000000000000000000000,0.200000000000000011102230246252,4
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.379028037383177585084581551200,28.275927543640136718750000000000,2033,908,0.250000000000000000000000000000,0.200000000000000011102230246252,4
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.591563862928348949132839607046,47.863183975219726562500000000000,28,100,0.250000000000000000000000000000,0.200000000000000011102230246252,1
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.612137071651090325374866552011,117.342608451843261718750000000000,1898,1000,0.250000000000000000000000000000,0.200000000000000011102230246252,4
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.486168224299065421245558127339,43.312919855117797851562500000000,2233,1000,0.005000000000000000104083408559,0.200000000000000011102230246252,1
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.606330218068535820030717786722,154.337209701538085937500000000000,1932,1000,0.250000000000000000000000000000,0.200000000000000011102230246252,4
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.607464174454828698124231323163,122.478520631790161132812500000000,920,519,0.001000000000000000020816681712,0.200000000000000011102230246252,1
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.587214953271028017312005431450,85.655349969863891601562500000000,2758,813,0.250000000000000000000000000000,0.200000000000000011102230246252,4
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.483875389408099709775967767200,45.047884702682495117187500000000,2201,1000,0.100000000000000005551115123126,0.200000000000000011102230246252,1
276,276_0,FAILED,BoTorch,GenerationStep_1,,,78,149,0.010000000000000000208166817117,0.000000000000000000000000000000,1
277,277_0,FAILED,BoTorch,GenerationStep_1,,,1919,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,4
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.603900311526479716128790187213,124.915198564529418945312500000000,1919,944,0.250000000000000000000000000000,0.200000000000000011102230246252,4
279,279_0,FAILED,BoTorch,GenerationStep_1,,,1339,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,4
280,280_0,FAILED,BoTorch,GenerationStep_1,,,2241,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,4
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.608760124610591923932645386230,116.212612390518188476562500000000,1887,1000,0.010000000000000000208166817117,0.200000000000000011102230246252,4
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.551651090342679117917157327611,39.075759410858154296875000000000,39,186,0.010000000000000000208166817117,0.200000000000000011102230246252,1
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.507339563862928333293211835553,43.501038551330566406250000000000,2292,1000,0.001000000000000000020816681712,0.200000000000000011102230246252,4
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.602317757009345755569995617407,122.927308082580566406250000000000,936,539,0.001000000000000000020816681712,0.200000000000000011102230246252,4
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.619601246105919045703558367677,83.025027751922607421875000000000,2370,336,0.250000000000000000000000000000,0.200000000000000011102230246252,1
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.478890965732087225958935050585,38.441001892089843750000000000000,2212,1000,0.010000000000000000208166817117,0.200000000000000011102230246252,4
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.602080996884735153429346610210,375.356345176696777343750000000000,838,490,0.001000000000000000020816681712,0.200000000000000011102230246252,1
288,288_0,FAILED,BoTorch,GenerationStep_1,,,84,100,0.250000000000000000000000000000,0.000000000000000000000000000000,1
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.476859813084112127423708216156,45.655609846115112304687500000000,2208,937,0.001000000000000000020816681712,0.200000000000000011102230246252,1
290,290_0,FAILED,BoTorch,GenerationStep_1,,,1943,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.594130841121495278933650752151,84.199326992034912109375000000000,1057,1000,0.001000000000000000020816681712,0.200000000000000011102230246252,4
292,292_0,FAILED,BoTorch,GenerationStep_1,,,1888,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,4
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.612735202492211805669342084002,110.624966382980346679687500000000,1894,1000,0.050000000000000002775557561563,0.200000000000000011102230246252,1
294,294_0,FAILED,BoTorch,GenerationStep_1,,,2268,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,1
295,295_0,FAILED,BoTorch,GenerationStep_1,,,2742,824,0.250000000000000000000000000000,0.000000000000000000000000000000,1
296,296_0,FAILED,BoTorch,GenerationStep_1,,,92,235,0.010000000000000000208166817117,0.000000000000000000000000000000,1
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.604062305295950174865993176354,116.312829256057739257812500000000,1914,1000,0.250000000000000000000000000000,0.200000000000000011102230246252,4
298,298_0,FAILED,BoTorch,GenerationStep_1,,,1196,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,1
299,299_0,FAILED,BoTorch,GenerationStep_1,,,1886,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,4
300,300_0,FAILED,BoTorch,GenerationStep_1,,,1907,785,0.001000000000000000020816681712,0.000000000000000000000000000000,1
301,301_0,FAILED,BoTorch,GenerationStep_1,,,424,305,0.250000000000000000000000000000,0.000000000000000000000000000000,4
302,302_0,FAILED,BoTorch,GenerationStep_1,,,3411,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,4
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.590180685358255407990668572893,107.205716133117675781250000000000,2573,540,0.250000000000000000000000000000,0.200000000000000011102230246252,4
304,304_0,FAILED,BoTorch,GenerationStep_1,,,2832,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,1
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.620610591900311536761591924005,148.323220729827880859375000000000,300,165,0.250000000000000000000000000000,0.200000000000000011102230246252,1
306,306_0,FAILED,BoTorch,GenerationStep_1,,,3567,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,4
307,307_0,FAILED,BoTorch,GenerationStep_1,,,1163,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.609993769470404956223319459241,151.470262050628662109375000000000,1910,699,0.001000000000000000020816681712,0.200000000000000011102230246252,1
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.594878504672897157057320782769,71.388866186141967773437500000000,2506,597,0.250000000000000000000000000000,0.200000000000000011102230246252,2
310,310_0,FAILED,BoTorch,GenerationStep_1,,,1903,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,1
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.578890965732087203754474558082,78.048439502716064453125000000000,2822,1000,0.001000000000000000020816681712,0.200000000000000011102230246252,4
312,312_0,FAILED,BoTorch,GenerationStep_1,,,1334,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,1
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.614168224299065368398942155181,149.687733411788940429687500000000,1713,747,0.001000000000000000020816681712,0.200000000000000011102230246252,1
314,314_0,FAILED,BoTorch,GenerationStep_1,,,2426,922,0.001000000000000000020816681712,0.000000000000000000000000000000,4
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.613644859813084142530215103761,145.603988409042358398437500000000,3729,744,0.250000000000000000000000000000,0.200000000000000011102230246252,1
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.644996884735202447025415040116,111.879597187042236328125000000000,121,100,0.250000000000000000000000000000,0.200000000000000011102230246252,1
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.606691588785046698184544311516,126.143934726715087890625000000000,3549,1000,0.001000000000000000020816681712,0.200000000000000011102230246252,4
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.515015576323987533946535677387,66.389416217803955078125000000000,99,401,0.250000000000000000000000000000,0.200000000000000011102230246252,2
319,319_0,FAILED,BoTorch,GenerationStep_1,,,157,357,0.250000000000000000000000000000,0.000000000000000000000000000000,2
320,320_0,FAILED,BoTorch,GenerationStep_1,,,3572,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,1
321,321_0,FAILED,BoTorch,GenerationStep_1,,,783,904,0.250000000000000000000000000000,0.000000000000000000000000000000,4
322,322_0,FAILED,BoTorch,GenerationStep_1,,,989,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.604834890965732063783377725485,100.235060453414916992187500000000,316,376,0.250000000000000000000000000000,0.200000000000000011102230246252,3
324,324_0,FAILED,BoTorch,GenerationStep_1,,,3412,840,0.001000000000000000020816681712,0.000000000000000000000000000000,4
325,325_0,FAILED,BoTorch,GenerationStep_1,,,305,267,0.250000000000000000000000000000,0.000000000000000000000000000000,2
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.545894080996884745182740061864,51.367344856262207031250000000000,2356,669,0.001000000000000000020816681712,0.200000000000000011102230246252,1
327,327_0,FAILED,BoTorch,GenerationStep_1,,,2576,546,0.250000000000000000000000000000,0.000000000000000000000000000000,4
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.613744548286604407749678102846,162.465665578842163085937500000000,3424,653,0.250000000000000000000000000000,0.200000000000000011102230246252,1
329,329_0,FAILED,BoTorch,GenerationStep_1,,,1705,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,1
330,330_0,FAILED,BoTorch,GenerationStep_1,,,3421,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,4
331,331_0,FAILED,BoTorch,GenerationStep_1,,,2468,939,0.001000000000000000020816681712,0.000000000000000000000000000000,4
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.627364485981308450668336718081,79.796999454498291015625000000000,117,140,0.250000000000000000000000000000,0.200000000000000011102230246252,1
333,333_0,FAILED,BoTorch,GenerationStep_1,,,153,100,0.001000000000000000020816681712,0.000000000000000000000000000000,1
334,334_0,FAILED,BoTorch,GenerationStep_1,,,1339,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,1
335,335_0,RUNNING,BoTorch,GenerationStep_1,,,222,853,0.250000000000000000000000000000,0.200000000000000011102230246252,1
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.621445482866043619196716463193,100.639867782592773437500000000000,401,263,0.250000000000000000000000000000,0.200000000000000011102230246252,4
337,337_0,FAILED,BoTorch,GenerationStep_1,,,123,161,0.001000000000000000020816681712,0.000000000000000000000000000000,1
338,338_0,FAILED,BoTorch,GenerationStep_1,,,947,880,0.250000000000000000000000000000,0.000000000000000000000000000000,4
339,339_0,FAILED,BoTorch,GenerationStep_1,,,631,914,0.250000000000000000000000000000,0.000000000000000000000000000000,4
340,340_0,FAILED,BoTorch,GenerationStep_1,,,322,862,0.250000000000000000000000000000,0.000000000000000000000000000000,2
341,341_0,FAILED,BoTorch,GenerationStep_1,,,125,248,0.001000000000000000020816681712,0.000000000000000000000000000000,1
342,342_0,FAILED,BoTorch,GenerationStep_1,,,991,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,1
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.607999999999999984900966865098,87.659255981445312500000000000000,396,364,0.250000000000000000000000000000,0.200000000000000011102230246252,4
344,344_0,FAILED,BoTorch,GenerationStep_1,,,781,916,0.250000000000000000000000000000,0.000000000000000000000000000000,4
345,345_0,FAILED,BoTorch,GenerationStep_1,,,1170,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
346,346_0,FAILED,BoTorch,GenerationStep_1,,,1905,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,1
347,347_0,FAILED,BoTorch,GenerationStep_1,,,46,269,0.001000000000000000020816681712,0.000000000000000000000000000000,1
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.518168224299065394156116326485,46.735487937927246093750000000000,2412,940,0.001000000000000000020816681712,0.200000000000000011102230246252,4
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.595800623052959554826202293043,83.498578071594238281250000000000,972,1000,0.001000000000000000020816681712,0.200000000000000011102230246252,4
350,350_0,FAILED,BoTorch,GenerationStep_1,,,633,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,4
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.605345794392523339766398748907,103.132764816284179687500000000000,1373,871,0.250000000000000000000000000000,0.200000000000000011102230246252,4
352,352_0,FAILED,BoTorch,GenerationStep_1,,,382,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,4
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.592760124610591909721790671028,93.792900085449218750000000000000,3411,1000,0.250000000000000000000000000000,0.200000000000000011102230246252,4
354,354_0,FAILED,BoTorch,GenerationStep_1,,,588,394,0.001000000000000000020816681712,0.000000000000000000000000000000,4
355,355_0,FAILED,BoTorch,GenerationStep_1,,,431,422,0.001000000000000000020816681712,0.000000000000000000000000000000,4
356,356_0,FAILED,BoTorch,GenerationStep_1,,,410,211,0.250000000000000000000000000000,0.000000000000000000000000000000,4
357,357_0,FAILED,BoTorch,GenerationStep_1,,,3393,877,0.001000000000000000020816681712,0.000000000000000000000000000000,4
358,358_0,FAILED,BoTorch,GenerationStep_1,,,1036,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
359,359_0,FAILED,BoTorch,GenerationStep_1,,,2361,848,0.001000000000000000020816681712,0.000000000000000000000000000000,4
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.602292834890965744776281098893,97.334382057189941406250000000000,912,725,0.250000000000000000000000000000,0.200000000000000011102230246252,4
361,361_0,FAILED,BoTorch,GenerationStep_1,,,117,233,0.001000000000000000020816681712,0.000000000000000000000000000000,1
362,362_0,FAILED,BoTorch,GenerationStep_1,,,10,214,0.001000000000000000020816681712,0.000000000000000000000000000000,1
363,363_0,FAILED,BoTorch,GenerationStep_1,,,2384,977,0.250000000000000000000000000000,0.000000000000000000000000000000,1
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.635289719626168203348015595111,112.999103069305419921875000000000,150,100,0.001000000000000000020816681712,0.200000000000000011102230246252,1
365,365_0,FAILED,BoTorch,GenerationStep_1,,,804,742,0.250000000000000000000000000000,0.000000000000000000000000000000,4
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.554193146417445436924253954203,56.767404079437255859375000000000,356,695,0.250000000000000000000000000000,0.200000000000000011102230246252,1
367,367_0,FAILED,BoTorch,GenerationStep_1,,,133,184,0.250000000000000000000000000000,0.000000000000000000000000000000,1
368,368_0,FAILED,BoTorch,GenerationStep_1,,,118,619,0.001000000000000000020816681712,0.000000000000000000000000000000,1
369,369_0,FAILED,BoTorch,GenerationStep_1,,,52,216,0.250000000000000000000000000000,0.000000000000000000000000000000,4
370,370_0,FAILED,BoTorch,GenerationStep_1,,,2469,690,0.001000000000000000020816681712,0.000000000000000000000000000000,4
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.456224299065420557663941281135,32.433261632919311523437500000000,130,900,0.250000000000000000000000000000,0.200000000000000011102230246252,1
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.521009345794392508821601950331,44.554792642593383789062500000000,181,543,0.001000000000000000020816681712,0.200000000000000011102230246252,4
373,373_0,FAILED,BoTorch,GenerationStep_1,,,2319,901,0.001000000000000000020816681712,0.000000000000000000000000000000,4
374,374_0,FAILED,BoTorch,GenerationStep_1,,,1901,901,0.001000000000000000020816681712,0.000000000000000000000000000000,4
375,375_0,FAILED,BoTorch,GenerationStep_1,,,300,290,0.001000000000000000020816681712,0.000000000000000000000000000000,4
376,376_0,FAILED,BoTorch,GenerationStep_1,,,931,901,0.001000000000000000020816681712,0.000000000000000000000000000000,4
377,377_0,FAILED,BoTorch,GenerationStep_1,,,194,626,0.001000000000000000020816681712,0.000000000000000000000000000000,4
378,378_0,FAILED,BoTorch,GenerationStep_1,,,3621,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.587364485981308415141199930076,54.154119491577148437500000000000,105,209,0.250000000000000000000000000000,0.200000000000000011102230246252,1
380,380_0,FAILED,BoTorch,GenerationStep_1,,,346,923,0.250000000000000000000000000000,0.000000000000000000000000000000,4
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.585345794392523322002830354904,64.692959308624267578125000000000,2519,695,0.001000000000000000020816681712,0.200000000000000011102230246252,4
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.605806853582554483139688272786,107.333359718322753906250000000000,3760,1000,0.250000000000000000000000000000,0.200000000000000011102230246252,1
383,383_0,FAILED,BoTorch,GenerationStep_1,,,346,691,0.250000000000000000000000000000,0.000000000000000000000000000000,1
384,384_0,FAILED,BoTorch,GenerationStep_1,,,87,266,0.001000000000000000020816681712,0.000000000000000000000000000000,1
385,385_0,FAILED,BoTorch,GenerationStep_1,,,472,312,0.250000000000000000000000000000,0.000000000000000000000000000000,4
386,386_0,FAILED,BoTorch,GenerationStep_1,,,534,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,4
387,387_0,FAILED,BoTorch,GenerationStep_1,,,71,208,0.250000000000000000000000000000,0.000000000000000000000000000000,1
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.478143302180685347835265019967,34.885934352874755859375000000000,114,614,0.001000000000000000020816681712,0.200000000000000011102230246252,4
389,389_0,FAILED,BoTorch,GenerationStep_1,,,155,898,0.001000000000000000020816681712,0.000000000000000000000000000000,1
390,390_0,FAILED,BoTorch,GenerationStep_1,,,97,236,0.001000000000000000020816681712,0.000000000000000000000000000000,1
391,391_0,FAILED,BoTorch,GenerationStep_1,,,142,196,0.001000000000000000020816681712,0.000000000000000000000000000000,1
392,392_0,FAILED,BoTorch,GenerationStep_1,,,21,221,0.001000000000000000020816681712,0.000000000000000000000000000000,1
393,393_0,FAILED,BoTorch,GenerationStep_1,,,195,627,0.250000000000000000000000000000,0.000000000000000000000000000000,4
394,394_0,FAILED,BoTorch,GenerationStep_1,,,311,637,0.001000000000000000020816681712,0.000000000000000000000000000000,1
395,395_0,FAILED,BoTorch,GenerationStep_1,,,1902,890,0.001000000000000000020816681712,0.000000000000000000000000000000,4
396,396_0,FAILED,BoTorch,GenerationStep_1,,,2322,905,0.250000000000000000000000000000,0.000000000000000000000000000000,4
397,397_0,FAILED,BoTorch,GenerationStep_1,,,2508,706,0.001000000000000000020816681712,0.000000000000000000000000000000,4
398,398_0,FAILED,BoTorch,GenerationStep_1,,,347,614,0.250000000000000000000000000000,0.000000000000000000000000000000,4
399,399_0,FAILED,BoTorch,GenerationStep_1,,,1146,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
400,400_0,FAILED,BoTorch,GenerationStep_1,,,337,278,0.001000000000000000020816681712,0.000000000000000000000000000000,4
401,401_0,FAILED,BoTorch,GenerationStep_1,,,55,189,0.250000000000000000000000000000,0.000000000000000000000000000000,4
402,402_0,FAILED,BoTorch,GenerationStep_1,,,386,905,0.001000000000000000020816681712,0.000000000000000000000000000000,4
403,403_0,FAILED,BoTorch,GenerationStep_1,,,101,209,0.250000000000000000000000000000,0.000000000000000000000000000000,1
404,404_0,FAILED,BoTorch,GenerationStep_1,,,2486,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,4
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.514267912772585655822865646769,43.485713958740234375000000000000,2308,852,0.001000000000000000020816681712,0.200000000000000011102230246252,4
406,406_0,FAILED,BoTorch,GenerationStep_1,,,277,298,0.001000000000000000020816681712,0.000000000000000000000000000000,4
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.458529595015576330041540131788,29.603178024291992187500000000000,10,227,0.001000000000000000020816681712,0.200000000000000011102230246252,1
408,408_0,FAILED,BoTorch,GenerationStep_1,,,508,950,0.250000000000000000000000000000,0.000000000000000000000000000000,4
409,409_0,FAILED,BoTorch,GenerationStep_1,,,376,724,0.001000000000000000020816681712,0.000000000000000000000000000000,1
410,410_0,FAILED,BoTorch,GenerationStep_1,,,122,100,0.001000000000000000020816681712,0.000000000000000000000000000000,1
411,411_0,FAILED,BoTorch,GenerationStep_1,,,271,869,0.250000000000000000000000000000,0.000000000000000000000000000000,4
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.610791277258566966956720989401,84.364272117614746093750000000000,118,170,0.250000000000000000000000000000,0.200000000000000011102230246252,1
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.599676012461059171343435991730,110.195054531097412109375000000000,1318,948,0.001000000000000000020816681712,0.200000000000000011102230246252,1
414,414_0,FAILED,BoTorch,GenerationStep_1,,,2396,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,4
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.594816199376947074561883255228,89.324652910232543945312500000000,987,970,0.250000000000000000000000000000,0.200000000000000011102230246252,1
416,416_0,FAILED,BoTorch,GenerationStep_1,,,436,261,0.250000000000000000000000000000,0.000000000000000000000000000000,1
417,417_0,FAILED,BoTorch,GenerationStep_1,,,986,911,0.250000000000000000000000000000,0.000000000000000000000000000000,4
418,418_0,FAILED,BoTorch,GenerationStep_1,,,2369,926,0.001000000000000000020816681712,0.000000000000000000000000000000,1
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.588598130841121447431874003087,92.248456954956054687500000000000,1350,1000,0.250000000000000000000000000000,0.200000000000000011102230246252,1
420,420_0,FAILED,BoTorch,GenerationStep_1,,,106,234,0.001000000000000000020816681712,0.000000000000000000000000000000,1
421,421_0,FAILED,BoTorch,GenerationStep_1,,,100,100,0.250000000000000000000000000000,0.000000000000000000000000000000,1
422,422_0,FAILED,BoTorch,GenerationStep_1,,,77,231,0.250000000000000000000000000000,0.000000000000000000000000000000,4
423,423_0,FAILED,BoTorch,GenerationStep_1,,,2373,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,4
424,424_0,FAILED,BoTorch,GenerationStep_1,,,146,576,0.250000000000000000000000000000,0.000000000000000000000000000000,4
425,425_0,FAILED,BoTorch,GenerationStep_1,,,244,269,0.001000000000000000020816681712,0.000000000000000000000000000000,2
426,426_0,FAILED,BoTorch,GenerationStep_1,,,298,617,0.001000000000000000020816681712,0.000000000000000000000000000000,4
427,427_0,FAILED,BoTorch,GenerationStep_1,,,57,255,0.001000000000000000020816681712,0.000000000000000000000000000000,4
428,428_0,FAILED,BoTorch,GenerationStep_1,,,102,193,0.250000000000000000000000000000,0.000000000000000000000000000000,4
429,429_0,FAILED,BoTorch,GenerationStep_1,,,2315,907,0.250000000000000000000000000000,0.000000000000000000000000000000,4
430,430_0,FAILED,BoTorch,GenerationStep_1,,,1903,898,0.001000000000000000020816681712,0.000000000000000000000000000000,1
431,431_0,FAILED,BoTorch,GenerationStep_1,,,304,909,0.250000000000000000000000000000,0.000000000000000000000000000000,4
432,432_0,FAILED,BoTorch,GenerationStep_1,,,376,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
433,433_0,FAILED,BoTorch,GenerationStep_1,,,1074,678,0.001000000000000000020816681712,0.000000000000000000000000000000,4
434,434_0,FAILED,BoTorch,GenerationStep_1,,,216,917,0.250000000000000000000000000000,0.000000000000000000000000000000,1
435,435_0,FAILED,BoTorch,GenerationStep_1,,,26,203,0.250000000000000000000000000000,0.000000000000000000000000000000,4
436,436_0,FAILED,BoTorch,GenerationStep_1,,,2506,676,0.001000000000000000020816681712,0.000000000000000000000000000000,4
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.544971962616822458436161014106,48.596277475357055664062500000000,2492,997,0.250000000000000000000000000000,0.200000000000000011102230246252,4
438,438_0,FAILED,BoTorch,GenerationStep_1,,,375,297,0.001000000000000000020816681712,0.000000000000000000000000000000,1
439,439_0,FAILED,BoTorch,GenerationStep_1,,,100,122,0.250000000000000000000000000000,0.000000000000000000000000000000,4
440,440_0,FAILED,BoTorch,GenerationStep_1,,,111,310,0.001000000000000000020816681712,0.000000000000000000000000000000,4
441,441_0,FAILED,BoTorch,GenerationStep_1,,,400,629,0.250000000000000000000000000000,0.000000000000000000000000000000,4
442,442_0,FAILED,BoTorch,GenerationStep_1,,,209,666,0.001000000000000000020816681712,0.000000000000000000000000000000,1
443,443_0,FAILED,BoTorch,GenerationStep_1,,,104,171,0.250000000000000000000000000000,0.000000000000000000000000000000,1
444,444_0,FAILED,BoTorch,GenerationStep_1,,,396,856,0.250000000000000000000000000000,0.000000000000000000000000000000,4
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.591352024922118357785905118362,102.425573587417602539062500000000,924,929,0.250000000000000000000000000000,0.200000000000000011102230246252,4
446,446_0,FAILED,BoTorch,GenerationStep_1,,,650,938,0.250000000000000000000000000000,0.000000000000000000000000000000,4
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.543152647975077895736717437103,51.191238164901733398437500000000,370,733,0.001000000000000000020816681712,0.200000000000000011102230246252,1
448,448_0,FAILED,BoTorch,GenerationStep_1,,,2337,960,0.250000000000000000000000000000,0.000000000000000000000000000000,1
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.592984423676012450954431187711,151.953000307083129882812500000000,1165,918,0.250000000000000000000000000000,0.200000000000000011102230246252,4
450,450_0,FAILED,BoTorch,GenerationStep_1,,,1013,404,0.001000000000000000020816681712,0.194820071688176138513526325369,4
451,451_0,FAILED,BoTorch,GenerationStep_1,,,1011,403,0.001000000000000000020816681712,0.000000000000000000000000000000,1
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.607875389408099708887789347500,162.288460493087768554687500000000,1072,398,0.001000000000000000020816681712,0.200000000000000011102230246252,4
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.621183800623053006262352937483,235.386987447738647460937500000000,976,348,0.001000000000000000020816681712,0.200000000000000011102230246252,4
454,454_0,FAILED,BoTorch,GenerationStep_1,,,1030,417,0.001000000000000000020816681712,0.000000000000000000000000000000,4
455,455_0,FAILED,BoTorch,GenerationStep_1,,,1088,396,0.250000000000000000000000000000,0.000000000000000000000000000000,4
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.612436137071651121033255549264,206.842712879180908203125000000000,1025,414,0.250000000000000000000000000000,0.200000000000000011102230246252,1
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.615214953271028042181001183053,178.095405817031860351562500000000,1106,388,0.001000000000000000020816681712,0.200000000000000011102230246252,1
458,458_0,FAILED,BoTorch,GenerationStep_1,,,987,374,0.001000000000000000020816681712,0.000000000000000000000000000000,1
459,459_0,FAILED,BoTorch,GenerationStep_1,,,953,311,0.001000000000000000020816681712,0.000000000000000000000000000000,4
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.608348909657320913169087361894,729.475465536117553710937500000000,3400,100,0.001000000000000000020816681712,0.200000000000000011102230246252,1
461,461_0,FAILED,BoTorch,GenerationStep_1,,,1000,389,0.250000000000000000000000000000,0.000000000000000000000000000000,4
462,462_0,FAILED,BoTorch,GenerationStep_1,,,2177,100,0.250000000000000000000000000000,0.000000000000000000000000000000,1
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.610093457943925221442782458325,146.880753755569458007812500000000,1033,419,0.001000000000000000020816681712,0.200000000000000011102230246252,1
464,464_0,FAILED,BoTorch,GenerationStep_1,,,1057,391,0.001000000000000000020816681712,0.000000000000000000000000000000,1
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.616610591900311533208878245205,136.814507484436035156250000000000,1021,443,0.001000000000000000020816681712,0.200000000000000011102230246252,4
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.617732087227414350394383291132,172.473083019256591796875000000000,1050,402,0.001000000000000000020816681712,0.200000000000000011102230246252,4
467,467_0,FAILED,BoTorch,GenerationStep_1,,,713,768,0.250000000000000000000000000000,0.000000000000000000000000000000,4
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.621445482866043619196716463193,292.183548688888549804687500000000,3405,286,0.001000000000000000020816681712,0.200000000000000011102230246252,1
469,469_0,FAILED,BoTorch,GenerationStep_1,,,536,375,0.250000000000000000000000000000,0.000000000000000000000000000000,4
470,470_0,FAILED,BoTorch,GenerationStep_1,,,890,225,0.001000000000000000020816681712,0.000000000000000000000000000000,4
471,471_0,FAILED,BoTorch,GenerationStep_1,,,3326,100,0.250000000000000000000000000000,0.000000000000000000000000000000,1
472,472_0,FAILED,BoTorch,GenerationStep_1,,,2120,598,0.001000000000000000020816681712,0.000000000000000000000000000000,1
473,473_0,FAILED,BoTorch,GenerationStep_1,,,3455,377,0.001000000000000000020816681712,0.000000000000000000000000000000,4
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.647302180685358274914165122027,79.564831018447875976562500000000,95,100,0.250000000000000000000000000000,0.200000000000000011102230246252,1
475,475_0,FAILED,BoTorch,GenerationStep_1,,,1016,439,0.250000000000000000000000000000,0.000000000000000000000000000000,4
476,476_0,FAILED,BoTorch,GenerationStep_1,,,599,590,0.250000000000000000000000000000,0.000000000000000000000000000000,4
477,477_0,FAILED,BoTorch,GenerationStep_1,,,3446,100,0.250000000000000000000000000000,0.000000000000000000000000000000,1
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.607738317757009371966603339388,149.792009592056274414062500000000,998,388,0.250000000000000000000000000000,0.200000000000000011102230246252,1
479,479_0,FAILED,BoTorch,GenerationStep_1,,,836,105,0.001000000000000000020816681712,0.000000000000000000000000000000,4
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.599750778816199425769184472301,95.643185615539550781250000000000,100,178,0.250000000000000000000000000000,0.200000000000000011102230246252,1
481,481_0,FAILED,BoTorch,GenerationStep_1,,,83,226,0.250000000000000000000000000000,0.000000000000000000000000000000,4
482,482_0,FAILED,BoTorch,GenerationStep_1,,,2418,1000,0.001000000000000000020816681712,0.000000000000000000000000000000,4
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.576299065420560752137646431947,60.447050333023071289062500000000,82,210,0.250000000000000000000000000000,0.200000000000000011102230246252,1
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.634816199376946999066717580718,76.210617542266845703125000000000,93,115,0.250000000000000000000000000000,0.200000000000000011102230246252,1
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.622242990654205629930117993354,89.996751785278320312500000000000,99,143,0.250000000000000000000000000000,0.200000000000000011102230246252,1
486,486_0,FAILED,BoTorch,GenerationStep_1,,,2330,923,0.250000000000000000000000000000,0.000000000000000000000000000000,1
487,487_0,FAILED,BoTorch,GenerationStep_1,,,1904,872,0.001000000000000000020816681712,0.000000000000000000000000000000,4
488,488_0,COMPLETED,BoTorch,GenerationStep_1,0.555626168224299110676156487898,53.344884157180786132812500000000,292,597,0.250000000000000000000000000000,0.200000000000000011102230246252,4
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.559065420560747705636117643735,48.399779319763183593750000000000,92,252,0.001000000000000000020816681712,0.200000000000000011102230246252,1
490,490_0,FAILED,BoTorch,GenerationStep_1,,,335,917,0.001000000000000000020816681712,0.000000000000000000000000000000,1
491,491_0,FAILED,BoTorch,GenerationStep_1,,,429,669,0.250000000000000000000000000000,0.000000000000000000000000000000,4
492,492_0,RUNNING,BoTorch,GenerationStep_1,,,37,225,0.001000000000000000020816681712,0.200000000000000011102230246252,4
493,493_0,FAILED,BoTorch,GenerationStep_1,,,4000,696,0.001000000000000000020816681712,0.000000000000000000000000000000,4
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.513682242990654236436398605292,45.641184806823730468750000000000,343,1000,0.250000000000000000000000000000,0.200000000000000011102230246252,4
495,495_0,FAILED,BoTorch,GenerationStep_1,,,2486,678,0.250000000000000000000000000000,0.000000000000000000000000000000,1
496,496_0,FAILED,BoTorch,GenerationStep_1,,,2359,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,4
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.499015576323987519735680962185,37.919765710830688476562500000000,125,561,0.250000000000000000000000000000,0.200000000000000011102230246252,1
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.560286604361370677018783226231,45.273358821868896484375000000000,65,221,0.001000000000000000020816681712,0.200000000000000011102230246252,4
499,499_0,FAILED,BoTorch,GenerationStep_1,,,352,1000,0.250000000000000000000000000000,0.000000000000000000000000000000,1
500,500_0,FAILED,BoTorch,GenerationStep_1,,,19,199,0.250000000000000000000000000000,0.000000000000000000000000000000,1
501,501_0,FAILED,BoTorch,GenerationStep_1,,,346,656,0.001000000000000000020816681712,0.000000000000000000000000000000,4
502,502_0,FAILED,BoTorch,GenerationStep_1,,,3128,788,0.250000000000000000000000000000,0.000000000000000000000000000000,4
503,503_0,FAILED,BoTorch,GenerationStep_1,,,95,202,0.001000000000000000020816681712,0.200000000000000011102230246252,4
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.614741433021806837899703168659,81.977911233901977539062500000000,293,293,0.001000000000000000020816681712,0.200000000000000011102230246252,1
505,505_0,FAILED,BoTorch,GenerationStep_1,,,416,815,0.250000000000000000000000000000,0.000000000000000000000000000000,1
506,506_0,FAILED,BoTorch,GenerationStep_1,,,81,272,0.001000000000000000020816681712,0.000000000000000000000000000000,4
507,507_0,FAILED,BoTorch,GenerationStep_1,,,2437,398,0.250000000000000000000000000000,0.000000000000000000000000000000,4
508,508_0,FAILED,BoTorch,GenerationStep_1,,,431,934,0.250000000000000000000000000000,0.000000000000000000000000000000,4
509,509_0,FAILED,BoTorch,GenerationStep_1,,,85,100,0.001000000000000000020816681712,0.000000000000000000000000000000,1
</pre>
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			<h1>&nbsp;Args Overview</h1>
			<h2>Arguments Overview:                                                                                           </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value                                                                                                                                                    </th></tr></thead><tbody><tr><td> config_yaml</td><td>None                                                                                                                                                     </td></tr><tr><td> config_toml</td><td>None                                                                                                                                                     </td></tr><tr><td> config_json</td><td>None                                                                                                                                                     </td></tr><tr><td> num_random_steps</td><td>20                                                                                                                                                       </td></tr><tr><td> max_eval</td><td>500                                                                                                                                                      </td></tr><tr><td> run_program</td><td>[[&#039;bW9kdWxlIGxvYWQgR0NDY29yZS8xMC4zLjAgUHl0aG9uICYmIHNvdXJjZSAvZGF0YS9ob3JzZS93cy9zNDEyMjQ4NS1jb21wUGVyZkREL2JlbmNobWFyay92ZW52L2Jpbi9hY3RpdmF0ZSAmJiBw&hellip; </td></tr><tr><td> experiment_name</td><td>CSDDM_RialtoBridgeTimelapse_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_samples&#039;, &#039;range&#039;, &#039;100&#039;, &#039;1000&#039;, &#039;int&#039;], [&#039;confidence&#039;, &#039;choice&#039;,                           </td></tr><tr><td></td><td>&#039;0.25,0.1,0.05,0.025,0.01,0.005,0.001&#039;], [&#039;feature_proportion&#039;, &#039;range&#039;, &#039;0.0&#039;, &#039;0.2&#039;, &#039;float&#039;], [&#039;n_clusters&#039;, &#039;range&#039;, &#039;1&#039;, &#039;4&#039;, &#039;int&#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>
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<pre id="pre_tab_worker_usage">1742403747.6485472,30,0,0
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1742429656.464081,30,6,20
1742429656.6558385,30,6,20
1742429658.2828956,30,7,23
1742429658.3203452,30,7,23
1742429658.548531,30,7,23
1742429660.2466145,30,8,27
1742429660.2831163,30,8,27
1742429660.4536164,30,8,27
1742429662.2639015,30,9,30
1742429662.3113801,30,9,30
1742429662.533513,30,9,30
1742429664.372649,30,10,33
1742429664.418245,30,10,33
1742429664.6296978,30,10,33
1742429666.1933923,30,11,37
1742429666.240431,30,11,37
1742429666.4661458,30,11,37
1742429668.21528,30,12,40
1742429668.2707145,30,12,40
1742429668.472655,30,12,40
1742429670.125592,30,13,43
1742429670.1639628,30,13,43
1742429670.341218,30,13,43
1742429676.3071744,30,14,47
1742429676.3539867,30,14,47
1742429676.6364639,30,14,47
1742429678.301037,30,15,50
1742429678.3377492,30,15,50
1742429678.4882252,30,15,50
1742429683.5776181,30,16,53
1742429683.621449,30,16,53
1742429683.8972332,30,16,53
1742429685.5444736,30,17,57
1742429685.5812516,30,17,57
1742429685.7169235,30,17,57
1742429691.215522,30,18,60
1742429691.2578568,30,18,60
1742429691.4678597,30,18,60
1742429693.2104383,30,19,63
1742429693.254267,30,19,63
1742429693.42186,30,19,63
1742429699.5085745,30,20,67
1742429699.5512037,30,20,67
1742429699.6984003,30,20,67
1742429701.207596,30,21,70
1742429701.2743268,30,21,70
1742429701.488729,30,21,70
1742429706.5901322,30,22,73
1742429706.7618098,30,22,73
1742429706.9203918,30,22,73
1742429708.4771125,30,23,77
1742429708.5156748,30,23,77
1742429708.6633139,30,23,77
1742429714.0216808,30,24,80
1742429714.0600243,30,24,80
1742429714.2224348,30,24,80
1742429715.8929784,30,25,83
1742429716.04773,30,25,83
1742429716.2076523,30,25,83
1742429718.2525165,30,26,87
1742429718.2917156,30,26,87
1742429718.4745088,30,26,87
1742429720.1971014,30,27,90
1742429720.4374423,30,27,90
1742429720.6566477,30,27,90
1742429722.1871324,30,28,93
1742429722.2244744,30,28,93
1742429722.3825574,30,28,93
1742429724.3099215,30,29,97
1742429724.3576365,30,29,97
1742429724.6535907,30,29,97
1742429726.2633812,30,30,100
1742429726.4814043,30,30,100
1742429728.1966364,30,29,97
1742429729.1713536,30,28,93
1742429730.2544522,30,27,90
1742429731.2906005,30,26,87
1742429732.7816863,30,25,83
1742429734.1139817,30,24,80
1742429735.1686666,30,23,77
1742429736.2781098,30,22,73
1742429737.2890391,30,21,70
1742429738.870225,30,20,67
1742429740.3348992,30,19,63
1742429741.593318,30,18,60
1742429742.8431475,30,17,57
1742429743.8795733,30,16,53
1742429745.4016407,30,15,50
1742429748.7141936,30,14,47
1742429748.836019,30,14,47
1742429752.378018,30,14,47
1742429758.0196223,30,14,47
1742429760.0492895,30,13,43
1742429763.5643797,30,12,40
1742429763.6951842,30,12,40
1742429771.272863,30,12,40
1742429778.9092948,30,12,40
1742429784.2084212,30,12,40
1742429787.2870374,30,11,37
1742429787.3579788,30,11,37
1742429795.2245066,30,11,37
1742429802.8732703,30,11,37
1742429810.504135,30,11,37
1742429817.7582202,30,11,37
1742429823.0196805,30,11,37
1742429823.1821942,30,11,37
1742429826.337376,30,10,33
1742429826.402946,30,10,33
1742429834.0078917,30,10,33
1742429839.338512,30,10,33
1742429839.4762936,30,10,33
1742429842.5981739,30,9,30
1742429842.6755552,30,9,30
1742429848.0009155,30,9,30
1742429848.0929027,30,9,30
1742429851.3120282,30,8,27
1742429851.4292243,30,8,27
1742429856.6964636,30,8,27
1742429856.7726233,30,8,27
1742429859.8869145,30,7,23
1742429860.0498893,30,7,23
1742429867.298357,30,7,23
1742429872.5428462,30,7,23
1742429872.7362797,30,7,23
1742429875.8113852,30,6,20
1742429876.0077345,30,6,20
1742429883.4347303,30,6,20
1742429888.7830336,30,6,20
1742429888.871365,30,6,20
1742429892.0940425,30,5,17
1742429892.23983,30,5,17
1742429899.3955863,30,5,17
1742429904.7880197,30,5,17
1742429904.877648,30,5,17
1742429906.2029321,30,4,13
1742429906.3128586,30,4,13
1742429909.1367245,30,3,10
1742429909.2229452,30,3,10
1742429914.684345,30,3,10
1742429914.76617,30,3,10
1742429917.8109004,30,2,7
1742429917.9183323,30,2,7
1742429925.3395104,30,2,7
1742429932.8849914,30,2,7
1742429940.1667147,30,2,7
1742429947.7089355,30,2,7
1742429955.2458956,30,2,7
1742429962.5612042,30,2,7
1742429970.1696641,30,2,7
1742429977.777208,30,2,7
1742429985.1085193,30,2,7
1742429992.7062595,30,2,7
1742430000.152947,30,2,7
1742430007.9027572,30,2,7
1742430013.3046663,30,2,7
1742430013.383005,30,2,7
1742430016.337688,30,1,3
1742430016.5588503,30,1,3
1742430024.1033952,30,1,3
1742430031.5595527,30,1,3
1742430038.7183552,30,1,3
1742430046.1845474,30,1,3
1742430053.6975808,30,1,3
1742430060.857049,30,1,3
1742430068.2658446,30,1,3
1742430075.820115,30,1,3
1742430083.0226283,30,1,3
1742430090.529243,30,1,3
1742430098.0887709,30,1,3
1742430105.2642484,30,1,3
1742430112.8305333,30,1,3
1742430120.3693485,30,1,3
1742430127.5637488,30,1,3
1742430135.1017816,30,1,3
1742430142.6270063,30,1,3
1742430149.8458145,30,1,3
1742430157.3977633,30,1,3
1742430164.6124763,30,1,3
1742430172.03449,30,1,3
1742430179.6456175,30,1,3
1742430186.956566,30,1,3
1742430194.5430837,30,1,3
1742430201.9896467,30,1,3
1742430209.1682806,30,1,3
1742430216.7114992,30,1,3
1742430224.3781068,30,1,3
1742430231.6020956,30,1,3
1742430239.0936139,30,1,3
1742430246.6134772,30,1,3
1742430253.7887037,30,1,3
1742430261.285968,30,1,3
1742430268.8066204,30,1,3
1742430276.0691476,30,1,3
1742430283.8573601,30,1,3
1742430291.8965538,30,1,3
1742430299.23672,30,1,3
1742430306.9277337,30,1,3
1742430314.7325938,30,1,3
1742430322.0901845,30,1,3
1742430329.9220433,30,1,3
1742430337.6262848,30,1,3
1742430344.9615746,30,1,3
1742430352.760539,30,1,3
1742430360.4240456,30,1,3
1742430367.7155776,30,1,3
1742430375.1803992,30,1,3
1742430382.3825173,30,1,3
1742430390.0496507,30,1,3
1742430397.673292,30,1,3
1742430404.8807123,30,1,3
1742430412.4512722,30,1,3
1742430419.897908,30,1,3
1742430427.1185737,30,1,3
1742430432.358349,30,1,3
1742430432.5217085,30,1,3
1742430435.5319345,30,0,0
1742430437.9698393,30,0,0
1742430440.52998,30,0,0
1742430496.122651,30,0,0
1742430545.878839,30,0,0
1742430595.5853186,30,0,0
1742430641.5514345,30,0,0
1742430712.5059927,30,0,0
1742430766.6524582,30,0,0
1742430839.8956172,30,0,0
1742430897.227218,30,0,0
1742430951.5006082,30,0,0
1742431008.3175168,30,0,0
1742431061.0194335,30,0,0
1742431114.2186468,30,0,0
1742431185.5070117,30,0,0
1742431270.0708597,30,0,0
1742431350.8950555,30,0,0
1742431425.6312578,30,0,0
1742431516.2058651,30,0,0
1742431600.183927,30,0,0
1742431687.8356621,30,0,0
1742431760.3512676,30,0,0
1742431843.2923388,30,0,0
1742431911.3020296,30,0,0
1742431991.3603642,30,0,0
1742432073.9757998,30,0,0
1742432166.1697056,30,0,0
1742432262.519616,30,0,0
1742432343.9195983,30,0,0
1742432423.4034503,30,0,0
1742432500.7110622,30,0,0
1742432589.744004,30,0,0
1742432590.1185088,30,0,0
1742432592.0976906,30,1,3
1742432592.2889578,30,1,3
1742432592.5815263,30,1,3
1742432594.3299656,30,2,7
1742432594.3713977,30,2,7
1742432594.5717416,30,2,7
1742432597.1126099,30,3,10
1742432597.2323472,30,3,10
1742432597.4400432,30,3,10
1742432599.2601454,30,4,13
1742432599.316586,30,4,13
1742432599.6804907,30,4,13
1742432601.3750784,30,5,17
1742432601.4416459,30,5,17
1742432601.8119764,30,5,17
1742432604.4866402,30,6,20
1742432604.5367563,30,6,20
1742432604.8242328,30,6,20
1742432606.497343,30,7,23
1742432606.5504763,30,7,23
1742432606.8790717,30,7,23
1742432608.7462907,30,8,27
1742432608.8818283,30,8,27
1742432609.2145922,30,8,27
1742432611.1441436,30,9,30
1742432611.2416027,30,9,30
1742432611.549094,30,9,30
1742432613.341205,30,10,33
1742432613.4695055,30,10,33
1742432613.74431,30,10,33
1742432615.3847814,30,11,37
1742432615.441975,30,11,37
1742432615.765139,30,11,37
1742432617.570797,30,12,40
1742432617.6272259,30,12,40
1742432617.9230287,30,12,40
1742432619.7588139,30,13,43
1742432619.813658,30,13,43
1742432620.1080725,30,13,43
1742432622.1734614,30,14,47
1742432622.2326732,30,14,47
1742432622.736587,30,14,47
1742432624.6371562,30,15,50
1742432624.7368317,30,15,50
1742432625.053465,30,15,50
1742432627.2885342,30,16,53
1742432627.340375,30,16,53
1742432627.6809733,30,16,53
1742432629.5964336,30,17,57
1742432629.6940565,30,17,57
1742432630.0806248,30,17,57
1742432632.0632403,30,18,60
1742432632.1715715,30,18,60
1742432632.4431498,30,18,60
1742432634.3919613,30,19,63
1742432634.4591634,30,19,63
1742432634.7449472,30,19,63
1742432636.604979,30,20,67
1742432636.655997,30,20,67
1742432636.9139757,30,20,67
1742432638.5911367,30,21,70
1742432638.6977577,30,21,70
1742432638.9661222,30,21,70
1742432640.9662478,30,22,73
1742432641.1334972,30,22,73
1742432641.4703515,30,22,73
1742432643.3802242,30,23,77
1742432643.4343941,30,23,77
1742432643.7779646,30,23,77
1742432646.548002,30,24,80
1742432646.6428232,30,24,80
1742432646.920372,30,24,80
1742432648.5574815,30,25,83
1742432648.6261616,30,25,83
1742432648.9085922,30,25,83
1742432650.5705366,30,26,87
1742432650.6149726,30,26,87
1742432650.8567774,30,26,87
1742432652.865331,30,27,90
1742432652.9956918,30,27,90
1742432653.3111832,30,27,90
1742432655.3899858,30,28,93
1742432655.4516425,30,28,93
1742432655.7512848,30,28,93
1742432657.4261837,30,29,97
1742432657.4767087,30,29,97
1742432657.8480964,30,29,97
1742432659.7429183,30,30,100
1742432660.2573977,30,30,100
1742432662.3327072,30,29,97
1742432664.3453095,30,28,93
1742432665.9290786,30,27,90
1742432667.5076144,30,26,87
1742432669.665808,30,25,83
1742432671.2992525,30,24,80
1742432672.9199693,30,23,77
1742432674.5145438,30,22,73
1742432676.2681577,30,21,70
1742432678.356795,30,20,67
1742432680.1128085,30,19,63
1742432681.9454863,30,18,60
1742432683.6272275,30,17,57
1742432687.7618966,30,16,53
1742432688.046845,30,15,50
1742432688.586304,30,15,50
1742432688.7375154,30,15,50
1742432690.0797217,30,14,47
1742432690.2839031,30,14,47
1742432694.1884944,30,13,43
1742432695.5105011,30,13,43
1742432700.845807,30,13,43
1742432700.980331,30,13,43
1742432702.512884,30,12,40
1742432702.651402,30,12,40
1742432703.9239461,30,11,37
1742432704.1421978,30,11,37
1742432705.471576,30,10,33
1742432707.420126,30,9,30
1742432709.5252125,30,8,27
1742432711.1433408,30,7,23
1742432715.065136,30,6,20
1742432715.1867225,30,6,20
1742432720.6613476,30,6,20
1742432720.8163013,30,6,20
1742432722.0839705,30,5,17
1742432722.2401085,30,5,17
1742432723.56666,30,4,13
1742432723.7278967,30,4,13
1742432727.6015027,30,3,10
1742432727.8354192,30,3,10
1742432733.4294114,30,3,10
1742432733.572064,30,3,10
1742432737.4013426,30,2,7
1742432737.5263906,30,2,7
1742432745.5826705,30,2,7
1742432751.0076401,30,2,7
1742432754.9032655,30,1,3
1742432755.1197357,30,1,3
1742432762.5166638,30,1,3
1742432770.6011639,30,1,3
1742432778.7934647,30,1,3
1742432786.3585324,30,1,3
1742432791.9718688,30,1,3
1742432792.1299202,30,1,3
1742432796.1782303,30,0,0
</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
1742403747,590.19140625,0.5
1742403747,590.23046875,1.3
1742403747,590.33203125,0.8
1742403747,590.33203125,2.1
1742403747,590.33203125,0.0
1742403747,590.33203125,1.2
1742403747,590.33203125,0.0
1742403840,603.21875,1.0
1742403840,603.28515625,0.7
1742403840,603.28515625,1.3
1742403840,603.28515625,0.0
1742405477,686.8046875,2.1
1742405477,686.8046875,1.1
1742405477,686.8046875,1.5
1742405477,686.8046875,1.5
1742406960,690.76171875,3.7
1742406960,690.76171875,8.6
1742406960,690.76171875,5.5
1742406960,690.76171875,5.2
1742408623,687.4453125,5.1
1742408623,687.4453125,2.9
1742408623,687.4453125,3.8
1742408623,687.4453125,3.5
1742409750,701.34375,5.8
1742409750,701.34375,4.0
1742409750,701.34375,5.3
1742409750,701.34375,6.0
1742410847,710.8203125,6.2
1742410847,710.8203125,3.6
1742410847,710.8203125,4.2
1742410847,710.8203125,5.7
1742412065,717.51953125,5.8
1742412065,717.51953125,6.5
1742412065,717.51953125,6.7
1742412065,717.51953125,6.4
1742413569,729.06640625,6.9
1742413569,729.06640625,9.8
1742413569,729.06640625,8.1
1742413569,729.06640625,5.7
1742414899,732.9296875,6.7
1742414899,732.9296875,7.9
1742414899,732.9296875,7.5
1742414899,732.9296875,5.4
1742416988,724.8828125,6.9
1742416988,724.8828125,7.0
1742416988,724.8828125,5.7
1742416988,724.8828125,5.8
1742419172,769.88671875,6.6
1742419172,769.88671875,4.0
1742419172,769.88671875,5.5
1742419172,769.88671875,5.9
1742421225,746.51171875,7.1
1742421225,746.51171875,3.4
1742421226,746.51171875,5.8
1742421226,746.51171875,5.7
1742423198,738.0,6.5
1742423198,738.0,5.0
1742423198,738.0,5.9
1742423198,738.0,2.9
1742425492,741.16015625,6.8
1742425492,741.16015625,6.1
1742425492,741.16015625,6.0
1742425492,741.16015625,6.7
1742427869,744.48046875,6.4
1742427869,744.48046875,2.6
1742427869,744.48046875,7.0
1742427869,744.48046875,7.7
1742429752,804.95703125,5.9
1742429752,804.95703125,2.8
1742429752,804.95703125,4.9
1742429752,804.95703125,8.6
1742432695,757.5234375,6.5
1742432695,757.5234375,6.2
1742432695,757.5234375,6.3
1742432695,757.5234375,5.6
1742432799,757.41796875,5.5
1742432799,757.41796875,2.8
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;Heatmap</h1>
			<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
			    <h1>Correlation Heatmap Explanation</h1>
			
			    <p>
			        This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
			    </p>
			
			    <h2>How It Works</h2>
			    <p>
			        The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
			    </p>
			    <ul>
			        <li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
			        <li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
			        <li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
			    </ul>
			
			    <h2>Color Scale: Yellow to Purple (Viridis)</h2>
			    <p>
			        The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
			    </p>
			    <ul>
			        <li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
			        <li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
			        <li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
			        <li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
			    </ul>
			
			    <h2>What the Heatmap Shows</h2>
			    <p>
			        In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
			    </p>
			
			<h1>&nbsp;Result-Pairs</h1>
			<div class="invert_in_dark_mode" id="plotResultPairs"></div>
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
			<h1>&nbsp;Exit-Codes</h1>
			<div class="invert_in_dark_mode" id="plotExitCodesPieChart"></div>
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