OmniOpt2

Setting	Value
Model for non-random steps	BOTORCH_MODULAR
Max. nr. evaluations	2000
Number random steps	20
Nr. of workers (parameter)	20
Main process memory (GB)	8
Worker memory (GB)	5
Name	Type	Lower bound	Upper bound	Type	Log Scale?
epochs	range	10	350	int	No
lr	range	0.001	0.05	float	No
bsz	range	4	32	int	No
da	range	10	100	int	No
db	range	10	150	int	No
Failed	Succeeded	Running	Total
0	200	0	200
name	min/max
RESULT	min
TIME	min
Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	20
max_eval	2000
run_program	[['YmFzaCAvZGF0YS9ob3JzZS93cy9wd2lua2xlci1vb3B0L3J1bi5zaCAlKGVwb2NocykgJShscikgJShic3opICUoZGEpICUoZGIp']]
experiment_name	vergl_botorch_1GB_20w
mem_gb	5
parameter	[['epochs', 'range', '10', '350', 'int', 'false'], ['lr', 'range', '0.001', '0.05', 'float', 'false'], ['bsz', 'range', '4', '32', 'int', 'false'],
	['da', 'range', '10', '100', 'int', 'false'], ['db', 'range', '10', '150', 'int', 'false']]
continue_previous_job	None
experiment_constraints	None
run_dir	runs
seed	None
decimalrounding	4
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	True
send_anonymized_usage_stats	True
ui_url	aHR0cHM6Ly9pbWFnZXNlZy5zY2Fkcy5kZS9vbW5pYXgvZ3VpP3BhcnRpdGlvbj1iYXJuYXJkJmV4cGVyaW1lbnRfbmFtZT12ZXJnbF9ib3RvcmNoXzFHQl8yMHcmcmVzZXJ2YXRpb249JmFjY291bnQ…
root_venv_dir	/home/pwinkler
exclude	None
main_process_gb	8
max_nr_of_zero_results	50
abbreviate_job_names	False
orchestrator_file	None
checkout_to_latest_tested_version	False
live_share	True
disable_tqdm	False
disable_previous_job_constraint	False
workdir
occ_type	euclid
result_names	['RESULT=min', 'TIME=min']
minkowski_p	2
signed_weighted_euclidean_weights
generation_strategy	None
generate_all_jobs_at_once	True
revert_to_random_when_seemingly_exhausted	True
load_data_from_existing_jobs	[]
n_estimators_randomforest	100
max_attempts_for_generation	20
external_generator	None
username	None
max_failed_jobs	0
num_cpus_main_job	None
calculate_pareto_front_of_job	[]
show_generate_time_table	False
force_choice_for_ranges	False
dont_warm_start_refitting	False
refit_on_cv	False
fit_out_of_design	False
fit_abandoned	False
dont_jit_compile	False
num_restarts	20
raw_samples	1024
no_transform_inputs	False
no_normalize_y	False
batch_limit	32
num_parallel_jobs	20
worker_timeout	30
slurm_use_srun	False
time	600
partition	barnard
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
flame_graph	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	0
show_generation_and_submission_sixel	False
Skipped tabs:
Job-Infos
Main-Log
Debug-Logs
Single Logs
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		<title>Exported &raquo;pwinkler/vergl_botorch_1GB_20w/85&laquo; from OmniOpt2-Share</title>
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				background-color: #f8f9fa;
				padding: 0px;
				text-align: center;
				border-top: 1px solid #dee2e6;
				width: 100%;
				box-sizing: border-box;
				position: fixed;
				bottom: 0;
				z-index: 2;
				margin-left: -9px;
				z-index: 99;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 50px;
				height: 26px;
			}
			
			.switch input {
				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
			}
			
			.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: 65px;
				display: block;
				font-size: 0.7rem;
				text-align: center;
			}
			
			input:checked + .slider .mode-text {
				content: "Dark Mode";
				color: white;
			}
			
			#mainContent {
				height: fit-content;
				min-height: 100%;
			}
			
			li {
				text-align: left;
			}
			
			#share_path {
				margin-bottom: 20px;
				margin-top: 20px;
			}
			
			#sortForm {
				margin-bottom: 20px;
			}
			
			.share_folder_buttons {
				margin-top: 10px;
				margin-bottom: 10px;
			}
			
			.nav_tab_button {
				margin: 10px;
			}
			
			.header_table {
				margin: 10px;
			}
			
			.no_border {
				border: unset !important;
			}
			
			.gui_table {
				padding: 5px !important;
			}
			
			.gui_parameter_row {
			}
			
			.gui_parameter_row_cell {
				border: unset !important;
			}
			
			.gui_param_table {
				width: 95%;
				margin: unset !important;
			}
			
			table td, table tr,
			.parameterRow table {
				padding: 2px !important;
			}
			
			.parameterRow table {
				margin: 0px;
				border: unset;
			}
			
			.parameterRow > td {
				border: 0px !important;
			}
			
			.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
				border: 0px !important;
			}
			
			.green_text {
				color: green;
			}
			
			.remove_parameter {
				white-space: pre;
			}
			
			select {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				background-color: #fff;
				color: #222;
				padding: 5px 30px 5px 5px;
				border: 1px solid #555;
				border-radius: 5px;
				cursor: pointer;
				outline: none;
				transition: all 0.3s ease;
				background:
					url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
					no-repeat right 10px center,
				linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
				background-size: 12px, auto;
			}
			
			select:hover {
				border-color: #888;
			}
			
			select:focus {
				border-color: #4caf50;
				box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
			}
			
			select::-ms-expand {
				display: none;
			}
			
			input, textarea {
				border-radius: 5px;
			}
			
			#search {
				width: 200px;
				max-width: 70%;
				background-image: url(images/search.svg);
				background-repeat: no-repeat;
				background-size: auto 40px;
				height: 40px;
				line-height: 40px;
				padding-left: 40px;
				box-sizing: border-box;
			}
			
			input[type="checkbox"] {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				width: 25px;
				height: 25px;
				border: 2px solid #3498db;
				border-radius: 5px;
				background-color: #fff;
				position: relative;
				cursor: pointer;
				transition: all 0.3s ease;
				width: 25px !important;
			}
			
			input[type="checkbox"]:checked {
				background-color: #3498db;
				border-color: #2980b9;
			}
			
			input[type="checkbox"]:checked::before {
				content: '✔';
				position: absolute;
				left: 4px;
				top: 2px;
				color: #fff;
			}
			
			input[type="checkbox"]:hover {
				border-color: #2980b9;
				background-color: #3caffc;
			}
			
			.toc {
				margin-bottom: 20px;
			}
			
			.toc li {
				margin-bottom: 5px;
			}
			
			.toc a {
				text-decoration: none;
				color: #007bff;
			}
			
			.toc a:hover {
				text-decoration: underline;
			}
			
			.table-container {
				width: 100%;
				overflow-x: auto;
			}
			
			.section-header {
				background-color: #1d6f9a !important;
				color: white;
			}
			
			.warning {
				color: red;
			}
			
			.li_list a {
				text-decoration: none;
			}
			
			.gridjs-td {
				white-space: nowrap;
			}
			
			th, td {
				border: 1px solid gray !important;
			}
			
			.no_border {
				border: 0px !important;
			}
			
			.no_break {
			
			}
			
			img {
				user-select: none;
				pointer-events: none;
			}
			
			#config_table, #hidden_config_table {
				user-select: none;
			}
			
			.copy_clipboard_button {
				margin-bottom: 10px;
			}
			
			.badge_table {
				background-color: unset !important;
			}
			
			.make_markable {
				user-select: text;
			}
			
			.header-container {
				display: flex;
				flex-wrap: wrap;
				align-items: center;
				justify-content: space-between;
				gap: 1rem;
				padding: 10px;
				background: var(--header-bg, #fff);
				border-bottom: 1px solid #ccc;
			}
			
			.header-logo-group {
				display: flex;
				gap: 1rem;
				align-items: center;
				flex: 1 1 auto;
				min-width: 200px;
			}
			
			.logo-img {
				max-height: 45px;
				height: auto;
				width: auto;
				object-fit: contain;
				pointer-events: unset;
			}
			
			.header-badges {
				flex-direction: column;
				gap: 5px;
				align-items: flex-start;
				flex: 0 1 auto;
				margin-top: auto;
				margin-bottom: auto;
			}
			
			.badge-img {
				height: auto;
				max-width: 130px;
				margin-top: 3px;
			}
			
			.header-tabs {
				margin-top: 10px;
				display: flex;
				flex-wrap: wrap;
				gap: 10px;
				flex: 2 1 100%;
				justify-content: center;
			}
			
			.nav-tab {
				display: inline-block;
				text-decoration: none;
				padding: 8px 16px;
				border-radius: 20px;
				background: linear-gradient(to right, #4a90e2, #357ABD);
				color: white;
				font-weight: bold;
				white-space: nowrap;
				transition: background 0.2s ease-in-out, transform 0.2s;
				box-shadow: 0 2px 4px rgba(0,0,0,0.2);
			}
			
			.nav-tab:hover {
				background: linear-gradient(to right, #5aa0f2, #4a90e2);
				transform: translateY(-2px);
			}
			
			.current-tag {
				padding-left: 10px;
				font-size: 0.9rem;
				color: #666;
			}
			
			.header-theme-toggle {
				flex: 1 1 auto;
				align-items: center;
				margin-top: 20px;
				min-width: 120px;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 60px;
				height: 30px;
			}
			
			.switch input {
				display: none;
			}
			
			.slider {
				position: absolute;
				top: 0; left: 0; right: 0; bottom: 0;
				background-color: #ccc;
				border-radius: 34px;
				cursor: pointer;
			}
			
			.slider::before {
				content: "";
				position: absolute;
				height: 24px;
				width: 24px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #2196F3;
			}
			
			input:checked + .slider::before {
				transform: translateX(30px);
			}
			
			@media (max-width: 768px) {
				.header-logo-group,
				.header-badges,
				.header-theme-toggle {
					justify-content: center;
					flex: 1 1 100%;
					text-align: center;
					width: inherit;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.hide_on_mobile {
					display: none;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					white-space: pre;
					font-size: 2em;
				}
			}
			
			.header_button {
				white-space: pre;
				margin-top: 20px;
				margin: 5px;
			}
			
			.line_break_anywhere {
				line-break: anywhere;
			}
			
			.responsive-container {
				display: flex;
				flex-wrap: wrap;
				justify-content: space-between;
				gap: 20px;
			}
			
			.responsive-container .half {
				flex: 1 1 48%;
				box-sizing: border-box;
				min-width: 500px;
			}
			
			.config-section table {
				width: 100%;
				border-collapse: collapse;
			}
			
			@media (max-width: 768px) {
				.responsive-container .half {
					flex: 1 1 100%;
				}
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			.rotate {
				animation: spin 2s linear infinite;
				display: inline-block;
			}
			
			input::placeholder {
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			.gridjs-th-content {
				overflow: visible !important;
			}
			
			.error_text {
				color: red;
			}
			
			h1, h2, h3, h4, h5, h6 {
				margin-top: 1em;
				font-weight: bold;
				color: #333;
				border-left: 5px solid #ccc;
				padding-left: 0.5em;
			}
			
			.no_cursive {
				font-style: normal;	
			}
			
			.caveat {
				background-color: #fff8b3;
				border: 1px solid #f2d600;
				padding: 1em 1em 1em 70px;
				position: relative;
				font-family: sans-serif;
				color: #665500;
				margin: 1em 0;
				border-radius: 4px;
			}
			
			.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
				margin-top: 0;
				margin-bottom: 0.5em;
				font-weight: bold;
			}
			
			.caveat::before {
				content: "⚠️";
				font-size: 50px;
				line-height: 1;
				position: absolute;
				left: 10px;
				top: 50%;
				transform: translateY(-50%);
				pointer-events: none;
				user-select: none;
			}
			
			.caveat.warning::before { content: "⚠️"; }
			.caveat.stop::before { content: "🛑"; }
			.caveat.exclamation::before { content: "❗"; }
			.caveat.alarm::before { content: "🚨"; }
			.caveat.tip::before { content: "💡"; }
			
			.tutorial_icon {
				display: inline-block;
				font-size: 1.3em;
				line-height: 1;
				vertical-align: middle;
				transform: translateY(-10%);
				padding: 0.2em 0;
			}
			
			.highlight {
				background-color: yellow;
				font-weight: bold;
			}
			
			#searchResults li {
				opacity: 0;
				transform: translateY(8px);
				animation: fadeInUp 0.3s ease-out forwards;
				animation-delay: 0.05s;
				list-style: none;
				margin-bottom: 5px;
			}
			
			@keyframes fadeInUp {
				to {
					opacity: 1;
					transform: translateY(0);
				}
			}
			
			.search_headline {
				font-weight: bold;
				margin-top: 1em;
				margin-bottom: 0.3em;
				color: #444;
			}
			
			.search_share_path {
				color: black;
				display: block ruby;
				margin-top: 20px;
			}
			
			@media print {
				#scads_bar {
					display: none !important;
				}
			}
			

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 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stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' 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13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 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stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23bdd3fb' d='M8 12h1'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath 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			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 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 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1M1 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' 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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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			        8.2
			    ],
			    [
			        1748381375,
			        702.0234375,
			        7.3
			    ],
			    [
			        1748381375,
			        702.0234375,
			        7.3
			    ],
			    [
			        1748381375,
			        702.0234375,
			        7.4
			    ],
			    [
			        1748381375,
			        702.0234375,
			        8.2
			    ],
			    [
			        1748381375,
			        702.0234375,
			        7.8
			    ],
			    [
			        1748381376,
			        702.0234375,
			        8.2
			    ],
			    [
			        1748381376,
			        702.0234375,
			        7.9
			    ],
			    [
			        1748381376,
			        702.0234375,
			        8.2
			    ],
			    [
			        1748381376,
			        702.0234375,
			        7.8
			    ],
			    [
			        1748381569,
			        711.05859375,
			        8.4
			    ],
			    [
			        1748381569,
			        711.05859375,
			        12
			    ],
			    [
			        1748381569,
			        711.05859375,
			        8.4
			    ],
			    [
			        1748381569,
			        711.05859375,
			        7.6
			    ],
			    [
			        1748381569,
			        711.05859375,
			        8.4
			    ],
			    [
			        1748381569,
			        711.05859375,
			        6.2
			    ],
			    [
			        1748381569,
			        711.05859375,
			        8.4
			    ],
			    [
			        1748381569,
			        711.05859375,
			        12.5
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout, no_height = 0) {
				layout["width"] = get_graph_width();
				if (!no_height) {
					layout["height"] = get_graph_height();
				}
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true,
					ellipsis: false
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_node";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',
						jitter: 0.5,
						pointpos: 0
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: get_axis_title_data("Generation Method")
					},
					boxmode: 'group'
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
					let text = el.textContent.toLowerCase();
					let color = text.includes("manual") ? "green" :
						text.includes("sobol") ? "orange" :
						text.includes("saasbo") ? "pink" :
						text.includes("uniform") ? "lightblue" :
						text.includes("legacy_gpei") ? "sienna" :
						text.includes("bo_mixed") ? "aqua" :
						text.includes("randomforest") ? "darkseagreen" :
						text.includes("external_generator") ? "purple" :
						text.includes("botorch") ? "yellow" : "";
					if (color !== "") {
						el.style.backgroundColor = color;
					}
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" :
						el.textContent.includes("ABANDONED") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			function demo_mode(nr_sec = 3) {
				let i = 0;
				let tabs = $('menu[role="tablist"] > button');
			
				setInterval(() => {
					tabs.attr('aria-selected', 'false').removeClass('active');
			
					let tab = tabs.eq(i % tabs.length);
					tab.attr('aria-selected', 'true').addClass('active');
			
					tab.trigger('click');
			
					i++;
				}, nr_sec * 1000);
			}
			
			function resizePlotlyCharts() {
				const plotlyElements = document.querySelectorAll('.js-plotly-plot');
			
				if (plotlyElements.length) {
					const windowWidth = window.innerWidth;
					const windowHeight = window.innerHeight;
			
					const newWidth = windowWidth * 0.9;
					const newHeight = windowHeight * 0.9;
			
					plotlyElements.forEach(function(element, index) {
						const layout = {
							width: newWidth,
							height: newHeight,
							plot_bgcolor: 'rgba(0, 0, 0, 0)',
							paper_bgcolor: 'rgba(0, 0, 0, 0)',
						};
			
						Plotly.relayout(element, layout)
					});
				}
			
				make_text_in_parallel_plot_nicer();
				apply_theme_based_on_system_preferences();
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			
			window.addEventListener('resize', function() {
				resizePlotlyCharts();
			});
			
			"use strict";
			
			function get_row_by_index(idx) {
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
			
				var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
			
				if(trial_index_col_idx == -1) {
					error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
			
					return null;
				}
			
				for (var i = 0; i < tab_results_csv_json.length; i++) {
					var row = tab_results_csv_json[i];
					var trial_index = row[trial_index_col_idx];
			
					if (trial_index == idx) {
						return row;
					}
				}
			
				return null;
			}
			
			function load_pareto_graph_from_idxs () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				if(pareto_idxs === null) {
					var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
					$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
					return;	
				}
			
				var table = get_pareto_table_data_from_idx();
			
				var html_tables = createParetoTablesFromData(table);
			
				$("#pareto_from_idxs_table").html(html_tables);
			
				renderParetoFrontPlots(table);
			
				apply_theme_based_on_system_preferences();
			}
			
			function renderParetoFrontPlots(data) {
				try {
					let container = document.getElementById("pareto_front_idxs_plot_container");
					if (!container) {
						console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
						return;
					}
			
					container.innerHTML = "";
			
					if(data === undefined || data === null) {
						var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
						$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
						return;
					}
			
					Object.keys(data).forEach((key, idx) => {
						if (!key.startsWith("Pareto front for ")) return;
			
						let label = key.replace("Pareto front for ", "");
						let [xKey, yKey] = label.split("/");
			
						if (!xKey || !yKey) {
							console.warn("Could not extract two objectives from key:", key);
							return;
						}
			
						let entries = data[key];
						let x = [];
						let y = [];
						let hoverTexts = [];
			
						entries.forEach((entry) => {
							let results = entry.results || {};
							let values = entry.values || {};
			
							let xVal = (results[xKey] || [])[0];
							let yVal = (results[yKey] || [])[0];
			
							if (xVal === undefined || yVal === undefined) {
								console.warn("Missing values for", xKey, yKey, "in", entry);
								return;
							}
			
							x.push(xVal);
							y.push(yVal);
			
							let hoverInfo = [];
			
							if ("trial_index" in values) {
								hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
							}
			
							Object.keys(values)
								.filter(k => k !== "trial_index")
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
								});
			
							Object.keys(results)
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
								});
			
							hoverTexts.push(hoverInfo.join("<br>"));
						});
			
						let wrapper = document.createElement("div");
						wrapper.style.marginBottom = "30px";
			
						let titleEl = document.createElement("h3");
						titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
						wrapper.appendChild(titleEl);
			
						let divId = `pareto_plot_${idx}`;
						let plotDiv = document.createElement("div");
						plotDiv.id = divId;
						plotDiv.style.width = "100%";
						plotDiv.style.height = "400px";
			
						wrapper.appendChild(plotDiv);
						container.appendChild(wrapper);
			
						let trace = {
							x: x,
							y: y,
							text: hoverTexts,
							hoverinfo: "text",
							mode: "markers",
							type: "scatter",
							marker: {
								size: 8,
								color: 'rgb(31, 119, 180)',
								line: {
									width: 1,
									color: 'black'
								}
							},
							name: label
						};
			
						let layout = {
							xaxis: { title: { text: xKey } },
							yaxis: { title: { text: yKey } },
							margin: { t: 10, l: 60, r: 20, b: 50 },
							hovermode: "closest",
							showlegend: false
						};
			
						Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
					});
				} catch (e) {
					console.error("Error while rendering Pareto front plots:", e);
				}
			}
			
			function createParetoTablesFromData(data) {
				try {
					var container = document.createElement("div");
			
					var parsedData;
					try {
						parsedData = typeof data === "string" ? JSON.parse(data) : data;
					} catch (e) {
						console.error("JSON parsing failed:", e);
						return container;
					}
			
					for (var sectionTitle in parsedData) {
						if (!parsedData.hasOwnProperty(sectionTitle)) {
							continue;
						}
			
						var sectionData = parsedData[sectionTitle];
						var heading = document.createElement("h2");
						heading.textContent = sectionTitle;
						container.appendChild(heading);
			
						var table = document.createElement("table");
						table.style.borderCollapse = "collapse";
						table.style.marginBottom = "2em";
						table.style.width = "100%";
			
						var thead = document.createElement("thead");
						var headerRow = document.createElement("tr");
			
						var allValueKeys = new Set();
						var allResultKeys = new Set();
			
						sectionData.forEach(entry => {
							var values = entry.values || {};
							var results = entry.results || {};
			
							Object.keys(values).forEach(key => {
								allValueKeys.add(key);
							});
			
							Object.keys(results).forEach(key => {
								allResultKeys.add(key);
							});
						});
			
						var sortedValueKeys = Array.from(allValueKeys).sort();
						var sortedResultKeys = Array.from(allResultKeys).sort();
			
						if (sortedValueKeys.includes("trial_index")) {
							sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
							sortedValueKeys.unshift("trial_index");
						}
			
						var allColumns = [...sortedValueKeys, ...sortedResultKeys];
			
						allColumns.forEach(col => {
							var th = document.createElement("th");
							th.textContent = col;
							th.style.border = "1px solid black";
							th.style.padding = "4px";
							headerRow.appendChild(th);
						});
			
						thead.appendChild(headerRow);
						table.appendChild(thead);
			
						var tbody = document.createElement("tbody");
			
						sectionData.forEach(entry => {
							var tr = document.createElement("tr");
			
							allColumns.forEach(col => {
								var td = document.createElement("td");
								td.style.border = "1px solid black";
								td.style.padding = "4px";
			
								var value = null;
			
								if (col in entry.values) {
									value = entry.values[col];
								} else if (col in entry.results) {
									value = entry.results[col];
								}
			
								if (Array.isArray(value)) {
									td.textContent = value.join(", ");
								} else {
									td.textContent = value !== null && value !== undefined ? value : "";
								}
			
								tr.appendChild(td);
							});
			
							tbody.appendChild(tr);
						});
			
						table.appendChild(tbody);
						container.appendChild(table);
					}
			
					return container;
				} catch (err) {
					console.error("Unexpected error:", err);
					var errorDiv = document.createElement("div");
					errorDiv.textContent = "Error generating tables.";
					return errorDiv;
				}
			}
			
			function get_pareto_table_data_from_idx () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				var x_keys = Object.keys(pareto_idxs);
			
				var tables = {};
			
				for (var i = 0; i < x_keys.length; i++) {
					var x_key = x_keys[i];
					var y_keys = Object.keys(pareto_idxs[x_key]);
			
					for (var j = 0; j < y_keys.length; j++) {
						var y_key = y_keys[j];
			
						var indices = pareto_idxs[x_key][y_key];
			
						for (var k = 0; k < indices.length; k++) {
							var idx = indices[k];
							var row = get_row_by_index(idx);
			
							if(row === null) {
								error(`Error getting the row for index ${idx}`);
								return;
							}
			
							var row_dict = {
								"results": {},
								"values": {},
							};
			
							for (var l = 0; l < tab_results_headers_json.length; l++) {
								var header = tab_results_headers_json[l];
			
								if (!special_col_names.includes(header) || header == "trial_index") {
									var val = row[l];
			
									if (result_names.includes(header)) {
										if (!Object.keys(row_dict["results"]).includes(header)) {
											row_dict["results"][header] = [];
										}
			
										row_dict["results"][header].push(val);
									} else {
										if (!Object.keys(row_dict["values"]).includes(header)) {
											row_dict["values"][header] = [];
										}
										row_dict["values"][header].push(val);
									}
								}
								
							}
			
							var table_key = `Pareto front for ${x_key}/${y_key}`;
			
							if(!Object.keys(tables).includes(table_key)) {
								tables[table_key] = [];
							}
			
							tables[table_key].push(row_dict);
						}
			
					}
				}
			
				return tables;
			}
			
			function getMinMaxByResultName(resultName) {
				try {
					if (typeof resultName !== "string") {
						error("Parameter resultName must be a string");
						return;
					}
			
					if (!Array.isArray(result_names)) {
						error("Global variable result_names is not an array or undefined");
						return;
					}
					if (!Array.isArray(result_min_max)) {
						error("Global variable result_min_max is not an array or undefined");
						return;
					}
			
					if (result_names.length !== result_min_max.length) {
						error("Global arrays result_names and result_min_max must have the same length");
						return;
					}
			
					var index = result_names.indexOf(resultName);
					if (index === -1) {
						error("Result name '" + resultName + "' not found in result_names");
						return;
					}
			
					var minMaxValue = result_min_max[index];
			
					if (minMaxValue !== "min" && minMaxValue !== "max") {
						error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
						return;
					}
			
					return minMaxValue;
			
				} catch (e) {
					error("Unexpected error: " + e.message);
				}
			}
			

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

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;Overview</h1>
			<button onclick="window.open('https://imageseg.scads.de/omniax/gui?partition=barnard&amp;experiment_name=vergl_botorch_1GB_20w&amp;reservation=&amp;account=&amp;mem_gb=5&amp;time=600&amp;worker_timeout=30&amp;max_eval=2000&amp;num_parallel_jobs=20&amp;gpus=0&amp;num_random_steps=20&amp;follow=1&amp;live_share=1&amp;send_anonymized_usage_stats=1&amp;checkout_to_latest_tested_version=0&amp;constraints=&amp;result_names=RESULT%3Dmin%20TIME%3Dmin&amp;run_program=bash%20%2Fdata%2Fhorse%2Fws%2Fpwinkler-oopt%2Frun.sh%20%25(epochs)%20%25(lr)%20%25(bsz)%20%25(da)%20%25(db)&amp;cpus_per_task=1&amp;nodes_per_job=1&amp;seed=&amp;verbose=0&amp;generate_all_jobs_at_once=1&amp;flame_graph=0&amp;debug=0&amp;revert_to_random_when_seemingly_exhausted=1&amp;gridsearch=0&amp;model=BOTORCH_MODULAR&amp;external_generator=&amp;n_estimators_randomforest=100&amp;installation_method=clone&amp;run_mode=local&amp;decimalrounding=4&amp;disable_tqdm=0&amp;verbose_tqdm=0&amp;force_local_execution=0&amp;auto_exclude_defective_hosts=0&amp;show_sixel_general=0&amp;show_sixel_trial_index_result=0&amp;show_sixel_scatter=0&amp;show_worker_percentage_table_at_end=0&amp;occ=0&amp;occ_type=euclid&amp;no_sleep=0&amp;slurm_use_srun=0&amp;verbose_break_run_search_table=0&amp;abbreviate_job_names=0&amp;main_process_gb=8&amp;max_nr_of_zero_results=50&amp;slurm_signal_delay_s=0&amp;max_failed_jobs=0&amp;exclude=&amp;username=&amp;generation_strategy=&amp;root_venv_dir=&amp;workdir=&amp;dont_jit_compile=0&amp;fit_out_of_design=0&amp;refit_on_cv=0&amp;show_generate_time_table=0&amp;dont_warm_start_refitting=0&amp;max_attempts_for_generation=20&amp;num_restarts=20&amp;raw_samples=1024&amp;force_choice_for_ranges=0&amp;no_transform_inputs=0&amp;fit_abandoned=0&amp;no_normalize_y=0&amp;batch_limit=32&amp;parameter_0_name=epochs&amp;parameter_0_type=range&amp;parameter_0_min=10&amp;parameter_0_max=350&amp;parameter_0_number_type=int&amp;parameter_0_log_scale=false&amp;parameter_1_name=lr&amp;parameter_1_type=range&amp;parameter_1_min=0.001&amp;parameter_1_max=0.05&amp;parameter_1_number_type=float&amp;parameter_1_log_scale=false&amp;parameter_2_name=bsz&amp;parameter_2_type=range&amp;parameter_2_min=4&amp;parameter_2_max=32&amp;parameter_2_number_type=int&amp;parameter_2_log_scale=false&amp;parameter_3_name=da&amp;parameter_3_type=range&amp;parameter_3_min=10&amp;parameter_3_max=100&amp;parameter_3_number_type=int&amp;parameter_3_log_scale=false&amp;parameter_4_name=db&amp;parameter_4_type=range&amp;parameter_4_min=10&amp;parameter_4_max=150&amp;parameter_4_number_type=int&amp;parameter_4_log_scale=false&amp;partition=barnard&amp;num_parameters=5', '_blank')">GUI page with all the settings of this job</button><br><br><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>2000            </td></tr><tr><td> Number random steps</td><td>20              </td></tr><tr><td> Nr. of workers (parameter)</td><td>20              </td></tr><tr><td> Main process memory (GB)</td><td>8               </td></tr><tr><td> Worker memory (GB)</td><td>5               </td></tr></tbody></table><h2>Experiment parameters                       </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> epochs</td><td>range</td><td>10</td><td>350</td><td>int</td><td>No         </td></tr><tr><td> lr</td><td>range</td><td>0.001</td><td>0.05</td><td>float</td><td>No         </td></tr><tr><td> bsz</td><td>range</td><td>4</td><td>32</td><td>int</td><td>No         </td></tr><tr><td> da</td><td>range</td><td>10</td><td>100</td><td>int</td><td>No         </td></tr><tr><td> db</td><td>range</td><td>10</td><td>150</td><td>int</td><td>No         </td></tr></tbody></table><h2>Number of evaluations</h2>
			<table>
			<tbody>
			<tr>
			<th>Failed</th>
			<th>Succeeded</th>
			<th>Running</th>
			<th>Total</th>
			</tr>
			<tr>
			<td>0</td>
			<td>200</td>
			<td>0</td>
			<td>200</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types</h2>
			<table>
			<tr><th>name</th><th>min/max</th></tr>
			<tr>
			<td>RESULT</td>
			<td>min</td>
			</tr>
			<tr>
			<td>TIME</td>
			<td>min</td>
			</tr>
			</table>
			<h2>Last progressbar status</h2>
			<tt>2025-05-27 23:33:36: BoTorchGenerator, 200 done, finishing previous jobs (4), finished 4 jobs</tt><br>
			<h2>Git-Version</h2>
			<tt>Commit: 0df3fade2f770e092f5b70052a6e23443befe74f (6877-24-g0df3fade2)
			</tt>
			<h1>&nbsp;Pareto-Fronts-Estimation</h1>
			<div class='caveat warning'>The old algorithm for calculating the pareto-front was buggy. Please re-calculate them using <tt>bash omniopt --calculate_pareto_front_of_job runs/path_to_job/run_nr --live_share</tt>.</div><div id='pareto_front_graphs_container'></div>
<pre>                          Pareto-Front for RESULT/TIME:                          
┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━┳━━━━━┳━━━━━┳━━━━━━━━┳━━━━━━━━┓
┃ epochs ┃                lr                ┃ bsz ┃ da  ┃ db  ┃ RESULT ┃  TIME  ┃
┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━╇━━━━━╇━━━━━╇━━━━━━━━╇━━━━━━━━┩
│  167   │ 0.025165734171867373131226131022 │  6  │ 33  │ 48  │ 0.363  │ 9.819  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  302   │ 0.030816660456359386971447733572 │ 27  │ 80  │ 129 │ 0.363  │ 5.380  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  240   │ 0.006247965059243142799116910169 │ 16  │ 18  │ 103 │ 0.221  │ 5.851  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   11   │ 0.049794239321723582358814041982 │ 24  │ 66  │ 40  │ 0.347  │ 0.756  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   87   │ 0.008385671833530068675077728813 │ 30  │ 67  │ 19  │ 0.305  │ 1.620  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  211   │ 0.038336319229565561650385774328 │  9  │ 23  │ 88  │ 0.363  │ 9.186  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  309   │ 0.013964829079806805045560480494 │ 20  │ 99  │ 150 │ 0.237  │ 6.672  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  112   │ 0.032816980634815993977948522797 │ 12  │ 54  │ 63  │ 0.363  │ 4.691  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  133   │ 0.003031725915148854571395942159 │ 18  │ 31  │ 123 │ 0.353  │ 3.531  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  331   │ 0.046766597240231931598142267603 │ 14  │ 77  │ 54  │ 0.363  │ 9.063  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  188   │ 0.022383143469691276633559695597 │ 32  │ 45  │ 28  │ 0.279  │ 2.749  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   68   │ 0.027451072555966678917505063851 │  8  │ 91  │ 115 │ 0.363  │ 4.651  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   31   │ 0.016751899522729218200423062513 │ 17  │ 87  │ 94  │ 0.358  │ 1.259  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  261   │ 0.036181079015135765575283954831 │ 22  │ 43  │ 13  │ 0.205  │ 4.895  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  279   │ 0.011600421457551420012510590141 │  4  │ 55  │ 76  │ 0.363  │ 24.589 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  147   │ 0.041368441553786397535397156844 │ 28  │ 12  │ 138 │ 0.363  │ 3.388  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  149   │ 0.013123235909268261834004221100 │ 13  │ 96  │ 44  │ 0.289  │ 4.807  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  273   │ 0.042882289770059291156290015579 │ 19  │ 52  │ 98  │ 0.363  │ 6.314  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  247   │ 0.018319576274603607823898698825 │  8  │ 70  │ 125 │ 0.232  │ 12.113 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   52   │ 0.037745759294368332048552616698 │ 31  │ 26  │ 53  │ 0.311  │ 1.765  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  245   │ 0.035154782776613026362699798710 │ 23  │ 100 │ 17  │ 0.363  │ 4.796  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  290   │ 0.010044708731778071580942324204 │ 17  │ 10  │ 150 │ 0.211  │ 6.054  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  192   │ 0.029017914559679509889367210462 │ 23  │ 10  │ 28  │ 0.363  │ 3.499  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  138   │ 0.026448772518938512554598219140 │ 26  │ 93  │ 49  │ 0.247  │ 2.625  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.001778275618941191002497781426 │ 18  │ 65  │ 29  │ 0.332  │ 0.774  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  255   │ 0.036702377161129548510665188132 │ 26  │ 10  │ 10  │ 0.363  │ 3.806  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  169   │ 0.035920556584914768716298993922 │ 21  │ 100 │ 10  │ 0.363  │ 3.501  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  225   │ 0.006290266683727088921351811024 │ 25  │ 10  │ 67  │ 0.216  │ 3.819  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  307   │ 0.001000000000000000020816681712 │ 24  │ 10  │ 131 │ 0.342  │ 5.634  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  102   │ 0.016466671195461579646490690720 │ 20  │ 10  │ 10  │ 0.347  │ 2.382  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  312   │ 0.035472262753385892797286516043 │ 29  │ 100 │ 14  │ 0.363  │ 4.623  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   32   │ 0.016436425596214710581621787355 │ 32  │ 81  │ 72  │ 0.316  │ 1.180  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  171   │ 0.050000000000000002775557561563 │ 30  │ 80  │ 44  │ 0.363  │ 3.402  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  261   │ 0.001000000000000000020816681712 │ 31  │ 10  │ 89  │ 0.284  │ 3.916  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  211   │ 0.047414112337646557859827112225 │ 28  │ 100 │ 10  │ 0.216  │ 4.029  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  233   │ 0.001000000000000000020816681712 │ 27  │ 100 │ 55  │ 0.363  │ 4.840  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  250   │ 0.013389329138011180769796126810 │ 13  │ 10  │ 150 │ 0.226  │ 8.987  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  331   │ 0.038714846714429922147626683682 │ 30  │ 10  │ 10  │ 0.363  │ 5.663  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  271   │ 0.023468906952712153407558659524 │ 21  │ 100 │ 10  │ 0.195  │ 5.456  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   83   │ 0.003210403852829563173948423938 │ 32  │ 100 │ 68  │ 0.316  │ 1.630  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   13   │ 0.023552894866851022820375405331 │ 27  │ 98  │ 15  │ 0.368  │ 0.814  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   49   │ 0.037056648701197680839669601482 │ 23  │ 41  │ 10  │ 0.363  │ 1.288  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   78   │ 0.017840048082312633115353861513 │ 19  │ 70  │ 138 │ 0.253  │ 2.275  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   18   │ 0.007910658105462186825973525117 │ 23  │ 15  │ 74  │ 0.358  │ 0.796  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.037212181225611186408119834823 │ 13  │ 39  │ 52  │ 0.363  │ 0.887  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   31   │ 0.038751813244444703598912127518 │ 32  │ 42  │ 38  │ 0.326  │ 1.135  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.009039765475989246235055674106 │ 26  │ 100 │ 149 │ 0.374  │ 0.918  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   60   │ 0.009734666958629371522060402810 │ 32  │ 13  │ 115 │ 0.358  │ 1.402  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   76   │ 0.019254396179136525069086616213 │ 20  │ 69  │ 83  │ 0.226  │ 2.061  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   92   │ 0.022359736218956031972293629906 │ 28  │ 100 │ 34  │ 0.305  │ 1.856  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   17   │ 0.034765980852875695561454705285 │ 14  │ 40  │ 10  │ 0.363  │ 1.124  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   49   │ 0.041012541489051937415588611202 │ 26  │ 39  │ 14  │ 0.363  │ 1.310  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.010286126747145312235187653016 │ 13  │ 16  │ 135 │ 0.363  │ 0.915  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   39   │ 0.013127673828551298176869899237 │ 19  │ 71  │ 128 │ 0.284  │ 1.407  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   26   │ 0.023551391705564486689361558547 │ 25  │ 93  │ 10  │ 0.363  │ 1.184  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.004784644876909065550063537842 │ 23  │ 17  │ 47  │ 0.437  │ 0.771  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   19   │ 0.011242627170842837969200189718 │  4  │ 20  │ 100 │ 0.363  │ 2.748  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   11   │ 0.026752362514575585283882475096 │ 24  │ 82  │ 26  │ 0.363  │ 0.871  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   13   │ 0.021545780616768372972558154288 │ 32  │ 52  │ 142 │ 0.358  │ 0.872  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   96   │ 0.020965608120110137274627604143 │ 21  │ 64  │ 87  │ 0.237  │ 2.436  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  188   │ 0.022898357353020568766277520467 │ 32  │ 92  │ 46  │ 0.363  │ 2.711  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   42   │ 0.017134750597582310699396046516 │ 29  │ 63  │ 11  │ 0.363  │ 1.053  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.016498728306451521108400015692 │ 14  │ 66  │ 98  │ 0.368  │ 1.541  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  121   │ 0.018015571288361335866579082676 │ 25  │ 67  │ 37  │ 0.295  │ 2.948  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.050000000000000002775557561563 │ 21  │ 22  │ 109 │ 0.363  │ 0.688  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.001000000000000000020816681712 │ 14  │ 100 │ 71  │ 0.379  │ 0.909  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  228   │ 0.021949946207226362498987626282 │ 24  │ 89  │ 17  │ 0.363  │ 4.668  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.014816821196928800508096912836 │ 21  │ 52  │ 33  │ 0.363  │ 0.718  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  159   │ 0.020085184651491776175458170428 │ 32  │ 72  │ 24  │ 0.363  │ 3.020  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  249   │ 0.020404420887792654865089403415 │ 32  │ 93  │ 86  │ 0.258  │ 4.320  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   73   │ 0.018694314970287579519281351281 │ 26  │ 68  │ 15  │ 0.305  │ 1.520  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   15   │ 0.018764035219469503423805889497 │ 21  │ 65  │ 32  │ 0.305  │ 0.774  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.010315759014977853025296639089 │ 30  │ 57  │ 102 │ 0.326  │ 0.658  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.001000000000000000020816681712 │ 30  │ 79  │ 17  │ 0.311  │ 0.629  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  221   │ 0.024603077710963910246233510293 │ 25  │ 100 │ 10  │ 0.363  │ 3.557  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  176   │ 0.020865246738912861940162812857 │ 24  │ 76  │ 40  │ 0.253  │ 3.234  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  218   │ 0.024192698558357383226136150256 │ 32  │ 100 │ 32  │ 0.363  │ 2.990  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.047758017104232400318331031031 │ 20  │ 100 │ 79  │ 0.363  │ 0.715  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.034089943896800915801303943908 │ 18  │ 10  │ 132 │ 0.363  │ 0.734  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   48   │ 0.016780391068874161986101967159 │ 14  │ 66  │ 11  │ 0.363  │ 1.678  │
└────────┴──────────────────────────────────┴─────┴─────┴─────┴────────┴────────┘
                          Pareto-Front for RESULT/TIME:                          
┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━┳━━━━━┳━━━━━┳━━━━━━━━┳━━━━━━━━┓
┃ epochs ┃                lr                ┃ bsz ┃ da  ┃ db  ┃ RESULT ┃  TIME  ┃
┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━╇━━━━━╇━━━━━╇━━━━━━━━╇━━━━━━━━┩
│  167   │ 0.025165734171867373131226131022 │  6  │ 33  │ 48  │ 0.363  │ 9.819  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  302   │ 0.030816660456359386971447733572 │ 27  │ 80  │ 129 │ 0.363  │ 5.380  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  240   │ 0.006247965059243142799116910169 │ 16  │ 18  │ 103 │ 0.221  │ 5.851  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   11   │ 0.049794239321723582358814041982 │ 24  │ 66  │ 40  │ 0.347  │ 0.756  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   87   │ 0.008385671833530068675077728813 │ 30  │ 67  │ 19  │ 0.305  │ 1.620  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  211   │ 0.038336319229565561650385774328 │  9  │ 23  │ 88  │ 0.363  │ 9.186  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  309   │ 0.013964829079806805045560480494 │ 20  │ 99  │ 150 │ 0.237  │ 6.672  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  112   │ 0.032816980634815993977948522797 │ 12  │ 54  │ 63  │ 0.363  │ 4.691  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  133   │ 0.003031725915148854571395942159 │ 18  │ 31  │ 123 │ 0.353  │ 3.531  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  331   │ 0.046766597240231931598142267603 │ 14  │ 77  │ 54  │ 0.363  │ 9.063  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  188   │ 0.022383143469691276633559695597 │ 32  │ 45  │ 28  │ 0.279  │ 2.749  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   68   │ 0.027451072555966678917505063851 │  8  │ 91  │ 115 │ 0.363  │ 4.651  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   31   │ 0.016751899522729218200423062513 │ 17  │ 87  │ 94  │ 0.358  │ 1.259  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  261   │ 0.036181079015135765575283954831 │ 22  │ 43  │ 13  │ 0.205  │ 4.895  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  279   │ 0.011600421457551420012510590141 │  4  │ 55  │ 76  │ 0.363  │ 24.589 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  147   │ 0.041368441553786397535397156844 │ 28  │ 12  │ 138 │ 0.363  │ 3.388  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  149   │ 0.013123235909268261834004221100 │ 13  │ 96  │ 44  │ 0.289  │ 4.807  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  273   │ 0.042882289770059291156290015579 │ 19  │ 52  │ 98  │ 0.363  │ 6.314  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  247   │ 0.018319576274603607823898698825 │  8  │ 70  │ 125 │ 0.232  │ 12.113 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   52   │ 0.037745759294368332048552616698 │ 31  │ 26  │ 53  │ 0.311  │ 1.765  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  245   │ 0.035154782776613026362699798710 │ 23  │ 100 │ 17  │ 0.363  │ 4.796  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  290   │ 0.010044708731778071580942324204 │ 17  │ 10  │ 150 │ 0.211  │ 6.054  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  192   │ 0.029017914559679509889367210462 │ 23  │ 10  │ 28  │ 0.363  │ 3.499  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  138   │ 0.026448772518938512554598219140 │ 26  │ 93  │ 49  │ 0.247  │ 2.625  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.001778275618941191002497781426 │ 18  │ 65  │ 29  │ 0.332  │ 0.774  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  255   │ 0.036702377161129548510665188132 │ 26  │ 10  │ 10  │ 0.363  │ 3.806  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  169   │ 0.035920556584914768716298993922 │ 21  │ 100 │ 10  │ 0.363  │ 3.501  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  225   │ 0.006290266683727088921351811024 │ 25  │ 10  │ 67  │ 0.216  │ 3.819  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  307   │ 0.001000000000000000020816681712 │ 24  │ 10  │ 131 │ 0.342  │ 5.634  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  102   │ 0.016466671195461579646490690720 │ 20  │ 10  │ 10  │ 0.347  │ 2.382  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  312   │ 0.035472262753385892797286516043 │ 29  │ 100 │ 14  │ 0.363  │ 4.623  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   32   │ 0.016436425596214710581621787355 │ 32  │ 81  │ 72  │ 0.316  │ 1.180  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  171   │ 0.050000000000000002775557561563 │ 30  │ 80  │ 44  │ 0.363  │ 3.402  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  261   │ 0.001000000000000000020816681712 │ 31  │ 10  │ 89  │ 0.284  │ 3.916  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  211   │ 0.047414112337646557859827112225 │ 28  │ 100 │ 10  │ 0.216  │ 4.029  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  233   │ 0.001000000000000000020816681712 │ 27  │ 100 │ 55  │ 0.363  │ 4.840  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  250   │ 0.013389329138011180769796126810 │ 13  │ 10  │ 150 │ 0.226  │ 8.987  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  331   │ 0.038714846714429922147626683682 │ 30  │ 10  │ 10  │ 0.363  │ 5.663  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  271   │ 0.023468906952712153407558659524 │ 21  │ 100 │ 10  │ 0.195  │ 5.456  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   83   │ 0.003210403852829563173948423938 │ 32  │ 100 │ 68  │ 0.316  │ 1.630  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   13   │ 0.023552894866851022820375405331 │ 27  │ 98  │ 15  │ 0.368  │ 0.814  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   49   │ 0.037056648701197680839669601482 │ 23  │ 41  │ 10  │ 0.363  │ 1.288  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   78   │ 0.017840048082312633115353861513 │ 19  │ 70  │ 138 │ 0.253  │ 2.275  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   18   │ 0.007910658105462186825973525117 │ 23  │ 15  │ 74  │ 0.358  │ 0.796  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.037212181225611186408119834823 │ 13  │ 39  │ 52  │ 0.363  │ 0.887  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   31   │ 0.038751813244444703598912127518 │ 32  │ 42  │ 38  │ 0.326  │ 1.135  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.009039765475989246235055674106 │ 26  │ 100 │ 149 │ 0.374  │ 0.918  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   60   │ 0.009734666958629371522060402810 │ 32  │ 13  │ 115 │ 0.358  │ 1.402  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   76   │ 0.019254396179136525069086616213 │ 20  │ 69  │ 83  │ 0.226  │ 2.061  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   92   │ 0.022359736218956031972293629906 │ 28  │ 100 │ 34  │ 0.305  │ 1.856  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   17   │ 0.034765980852875695561454705285 │ 14  │ 40  │ 10  │ 0.363  │ 1.124  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   49   │ 0.041012541489051937415588611202 │ 26  │ 39  │ 14  │ 0.363  │ 1.310  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.010286126747145312235187653016 │ 13  │ 16  │ 135 │ 0.363  │ 0.915  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   39   │ 0.013127673828551298176869899237 │ 19  │ 71  │ 128 │ 0.284  │ 1.407  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   26   │ 0.023551391705564486689361558547 │ 25  │ 93  │ 10  │ 0.363  │ 1.184  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.004784644876909065550063537842 │ 23  │ 17  │ 47  │ 0.437  │ 0.771  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   19   │ 0.011242627170842837969200189718 │  4  │ 20  │ 100 │ 0.363  │ 2.748  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   11   │ 0.026752362514575585283882475096 │ 24  │ 82  │ 26  │ 0.363  │ 0.871  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   13   │ 0.021545780616768372972558154288 │ 32  │ 52  │ 142 │ 0.358  │ 0.872  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   96   │ 0.020965608120110137274627604143 │ 21  │ 64  │ 87  │ 0.237  │ 2.436  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  188   │ 0.022898357353020568766277520467 │ 32  │ 92  │ 46  │ 0.363  │ 2.711  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   42   │ 0.017134750597582310699396046516 │ 29  │ 63  │ 11  │ 0.363  │ 1.053  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.016498728306451521108400015692 │ 14  │ 66  │ 98  │ 0.368  │ 1.541  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  121   │ 0.018015571288361335866579082676 │ 25  │ 67  │ 37  │ 0.295  │ 2.948  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.050000000000000002775557561563 │ 21  │ 22  │ 109 │ 0.363  │ 0.688  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.001000000000000000020816681712 │ 14  │ 100 │ 71  │ 0.379  │ 0.909  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  228   │ 0.021949946207226362498987626282 │ 24  │ 89  │ 17  │ 0.363  │ 4.668  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.014816821196928800508096912836 │ 21  │ 52  │ 33  │ 0.363  │ 0.718  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  159   │ 0.020085184651491776175458170428 │ 32  │ 72  │ 24  │ 0.363  │ 3.020  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  249   │ 0.020404420887792654865089403415 │ 32  │ 93  │ 86  │ 0.258  │ 4.320  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   73   │ 0.018694314970287579519281351281 │ 26  │ 68  │ 15  │ 0.305  │ 1.520  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   15   │ 0.018764035219469503423805889497 │ 21  │ 65  │ 32  │ 0.305  │ 0.774  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.010315759014977853025296639089 │ 30  │ 57  │ 102 │ 0.326  │ 0.658  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.001000000000000000020816681712 │ 30  │ 79  │ 17  │ 0.311  │ 0.629  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  221   │ 0.024603077710963910246233510293 │ 25  │ 100 │ 10  │ 0.363  │ 3.557  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  176   │ 0.020865246738912861940162812857 │ 24  │ 76  │ 40  │ 0.253  │ 3.234  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  218   │ 0.024192698558357383226136150256 │ 32  │ 100 │ 32  │ 0.363  │ 2.990  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.047758017104232400318331031031 │ 20  │ 100 │ 79  │ 0.363  │ 0.715  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.034089943896800915801303943908 │ 18  │ 10  │ 132 │ 0.363  │ 0.734  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   48   │ 0.016780391068874161986101967159 │ 14  │ 66  │ 11  │ 0.363  │ 1.678  │
└────────┴──────────────────────────────────┴─────┴─────┴─────┴────────┴────────┘
                          Pareto-Front for RESULT/TIME:                          
┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━┳━━━━━┳━━━━━┳━━━━━━━━┳━━━━━━━━┓
┃ epochs ┃                lr                ┃ bsz ┃ da  ┃ db  ┃ RESULT ┃  TIME  ┃
┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━╇━━━━━╇━━━━━╇━━━━━━━━╇━━━━━━━━┩
│  167   │ 0.025165734171867373131226131022 │  6  │ 33  │ 48  │ 0.363  │ 9.819  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  302   │ 0.030816660456359386971447733572 │ 27  │ 80  │ 129 │ 0.363  │ 5.380  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  240   │ 0.006247965059243142799116910169 │ 16  │ 18  │ 103 │ 0.221  │ 5.851  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   11   │ 0.049794239321723582358814041982 │ 24  │ 66  │ 40  │ 0.347  │ 0.756  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   87   │ 0.008385671833530068675077728813 │ 30  │ 67  │ 19  │ 0.305  │ 1.620  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  211   │ 0.038336319229565561650385774328 │  9  │ 23  │ 88  │ 0.363  │ 9.186  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  309   │ 0.013964829079806805045560480494 │ 20  │ 99  │ 150 │ 0.237  │ 6.672  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  112   │ 0.032816980634815993977948522797 │ 12  │ 54  │ 63  │ 0.363  │ 4.691  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  133   │ 0.003031725915148854571395942159 │ 18  │ 31  │ 123 │ 0.353  │ 3.531  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  331   │ 0.046766597240231931598142267603 │ 14  │ 77  │ 54  │ 0.363  │ 9.063  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  188   │ 0.022383143469691276633559695597 │ 32  │ 45  │ 28  │ 0.279  │ 2.749  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   68   │ 0.027451072555966678917505063851 │  8  │ 91  │ 115 │ 0.363  │ 4.651  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   31   │ 0.016751899522729218200423062513 │ 17  │ 87  │ 94  │ 0.358  │ 1.259  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  261   │ 0.036181079015135765575283954831 │ 22  │ 43  │ 13  │ 0.205  │ 4.895  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  279   │ 0.011600421457551420012510590141 │  4  │ 55  │ 76  │ 0.363  │ 24.589 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  147   │ 0.041368441553786397535397156844 │ 28  │ 12  │ 138 │ 0.363  │ 3.388  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  149   │ 0.013123235909268261834004221100 │ 13  │ 96  │ 44  │ 0.289  │ 4.807  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  273   │ 0.042882289770059291156290015579 │ 19  │ 52  │ 98  │ 0.363  │ 6.314  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  247   │ 0.018319576274603607823898698825 │  8  │ 70  │ 125 │ 0.232  │ 12.113 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   52   │ 0.037745759294368332048552616698 │ 31  │ 26  │ 53  │ 0.311  │ 1.765  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  245   │ 0.035154782776613026362699798710 │ 23  │ 100 │ 17  │ 0.363  │ 4.796  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  290   │ 0.010044708731778071580942324204 │ 17  │ 10  │ 150 │ 0.211  │ 6.054  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  192   │ 0.029017914559679509889367210462 │ 23  │ 10  │ 28  │ 0.363  │ 3.499  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  138   │ 0.026448772518938512554598219140 │ 26  │ 93  │ 49  │ 0.247  │ 2.625  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.001778275618941191002497781426 │ 18  │ 65  │ 29  │ 0.332  │ 0.774  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  255   │ 0.036702377161129548510665188132 │ 26  │ 10  │ 10  │ 0.363  │ 3.806  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  169   │ 0.035920556584914768716298993922 │ 21  │ 100 │ 10  │ 0.363  │ 3.501  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  225   │ 0.006290266683727088921351811024 │ 25  │ 10  │ 67  │ 0.216  │ 3.819  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  307   │ 0.001000000000000000020816681712 │ 24  │ 10  │ 131 │ 0.342  │ 5.634  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  102   │ 0.016466671195461579646490690720 │ 20  │ 10  │ 10  │ 0.347  │ 2.382  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  312   │ 0.035472262753385892797286516043 │ 29  │ 100 │ 14  │ 0.363  │ 4.623  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   32   │ 0.016436425596214710581621787355 │ 32  │ 81  │ 72  │ 0.316  │ 1.180  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  171   │ 0.050000000000000002775557561563 │ 30  │ 80  │ 44  │ 0.363  │ 3.402  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  261   │ 0.001000000000000000020816681712 │ 31  │ 10  │ 89  │ 0.284  │ 3.916  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  211   │ 0.047414112337646557859827112225 │ 28  │ 100 │ 10  │ 0.216  │ 4.029  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  233   │ 0.001000000000000000020816681712 │ 27  │ 100 │ 55  │ 0.363  │ 4.840  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  250   │ 0.013389329138011180769796126810 │ 13  │ 10  │ 150 │ 0.226  │ 8.987  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  331   │ 0.038714846714429922147626683682 │ 30  │ 10  │ 10  │ 0.363  │ 5.663  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  271   │ 0.023468906952712153407558659524 │ 21  │ 100 │ 10  │ 0.195  │ 5.456  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   83   │ 0.003210403852829563173948423938 │ 32  │ 100 │ 68  │ 0.316  │ 1.630  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   13   │ 0.023552894866851022820375405331 │ 27  │ 98  │ 15  │ 0.368  │ 0.814  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   49   │ 0.037056648701197680839669601482 │ 23  │ 41  │ 10  │ 0.363  │ 1.288  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   78   │ 0.017840048082312633115353861513 │ 19  │ 70  │ 138 │ 0.253  │ 2.275  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   18   │ 0.007910658105462186825973525117 │ 23  │ 15  │ 74  │ 0.358  │ 0.796  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.037212181225611186408119834823 │ 13  │ 39  │ 52  │ 0.363  │ 0.887  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   31   │ 0.038751813244444703598912127518 │ 32  │ 42  │ 38  │ 0.326  │ 1.135  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.009039765475989246235055674106 │ 26  │ 100 │ 149 │ 0.374  │ 0.918  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   60   │ 0.009734666958629371522060402810 │ 32  │ 13  │ 115 │ 0.358  │ 1.402  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   76   │ 0.019254396179136525069086616213 │ 20  │ 69  │ 83  │ 0.226  │ 2.061  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   92   │ 0.022359736218956031972293629906 │ 28  │ 100 │ 34  │ 0.305  │ 1.856  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   17   │ 0.034765980852875695561454705285 │ 14  │ 40  │ 10  │ 0.363  │ 1.124  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   49   │ 0.041012541489051937415588611202 │ 26  │ 39  │ 14  │ 0.363  │ 1.310  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.010286126747145312235187653016 │ 13  │ 16  │ 135 │ 0.363  │ 0.915  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   39   │ 0.013127673828551298176869899237 │ 19  │ 71  │ 128 │ 0.284  │ 1.407  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   26   │ 0.023551391705564486689361558547 │ 25  │ 93  │ 10  │ 0.363  │ 1.184  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.004784644876909065550063537842 │ 23  │ 17  │ 47  │ 0.437  │ 0.771  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   19   │ 0.011242627170842837969200189718 │  4  │ 20  │ 100 │ 0.363  │ 2.748  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   11   │ 0.026752362514575585283882475096 │ 24  │ 82  │ 26  │ 0.363  │ 0.871  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   13   │ 0.021545780616768372972558154288 │ 32  │ 52  │ 142 │ 0.358  │ 0.872  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   96   │ 0.020965608120110137274627604143 │ 21  │ 64  │ 87  │ 0.237  │ 2.436  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  188   │ 0.022898357353020568766277520467 │ 32  │ 92  │ 46  │ 0.363  │ 2.711  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   42   │ 0.017134750597582310699396046516 │ 29  │ 63  │ 11  │ 0.363  │ 1.053  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.016498728306451521108400015692 │ 14  │ 66  │ 98  │ 0.368  │ 1.541  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  121   │ 0.018015571288361335866579082676 │ 25  │ 67  │ 37  │ 0.295  │ 2.948  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.050000000000000002775557561563 │ 21  │ 22  │ 109 │ 0.363  │ 0.688  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.001000000000000000020816681712 │ 14  │ 100 │ 71  │ 0.379  │ 0.909  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  228   │ 0.021949946207226362498987626282 │ 24  │ 89  │ 17  │ 0.363  │ 4.668  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.014816821196928800508096912836 │ 21  │ 52  │ 33  │ 0.363  │ 0.718  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  159   │ 0.020085184651491776175458170428 │ 32  │ 72  │ 24  │ 0.363  │ 3.020  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  249   │ 0.020404420887792654865089403415 │ 32  │ 93  │ 86  │ 0.258  │ 4.320  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   73   │ 0.018694314970287579519281351281 │ 26  │ 68  │ 15  │ 0.305  │ 1.520  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   15   │ 0.018764035219469503423805889497 │ 21  │ 65  │ 32  │ 0.305  │ 0.774  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.010315759014977853025296639089 │ 30  │ 57  │ 102 │ 0.326  │ 0.658  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.001000000000000000020816681712 │ 30  │ 79  │ 17  │ 0.311  │ 0.629  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  221   │ 0.024603077710963910246233510293 │ 25  │ 100 │ 10  │ 0.363  │ 3.557  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  176   │ 0.020865246738912861940162812857 │ 24  │ 76  │ 40  │ 0.253  │ 3.234  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  218   │ 0.024192698558357383226136150256 │ 32  │ 100 │ 32  │ 0.363  │ 2.990  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.047758017104232400318331031031 │ 20  │ 100 │ 79  │ 0.363  │ 0.715  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.034089943896800915801303943908 │ 18  │ 10  │ 132 │ 0.363  │ 0.734  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   48   │ 0.016780391068874161986101967159 │ 14  │ 66  │ 11  │ 0.363  │ 1.678  │
└────────┴──────────────────────────────────┴─────┴─────┴─────┴────────┴────────┘
                          Pareto-Front for RESULT/TIME:                          
┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━┳━━━━━┳━━━━━┳━━━━━━━━┳━━━━━━━━┓
┃ epochs ┃                lr                ┃ bsz ┃ da  ┃ db  ┃ RESULT ┃  TIME  ┃
┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━╇━━━━━╇━━━━━╇━━━━━━━━╇━━━━━━━━┩
│  167   │ 0.025165734171867373131226131022 │  6  │ 33  │ 48  │ 0.363  │ 9.819  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  302   │ 0.030816660456359386971447733572 │ 27  │ 80  │ 129 │ 0.363  │ 5.380  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  240   │ 0.006247965059243142799116910169 │ 16  │ 18  │ 103 │ 0.221  │ 5.851  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   11   │ 0.049794239321723582358814041982 │ 24  │ 66  │ 40  │ 0.347  │ 0.756  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   87   │ 0.008385671833530068675077728813 │ 30  │ 67  │ 19  │ 0.305  │ 1.620  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  211   │ 0.038336319229565561650385774328 │  9  │ 23  │ 88  │ 0.363  │ 9.186  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  309   │ 0.013964829079806805045560480494 │ 20  │ 99  │ 150 │ 0.237  │ 6.672  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  112   │ 0.032816980634815993977948522797 │ 12  │ 54  │ 63  │ 0.363  │ 4.691  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  133   │ 0.003031725915148854571395942159 │ 18  │ 31  │ 123 │ 0.353  │ 3.531  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  331   │ 0.046766597240231931598142267603 │ 14  │ 77  │ 54  │ 0.363  │ 9.063  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  188   │ 0.022383143469691276633559695597 │ 32  │ 45  │ 28  │ 0.279  │ 2.749  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   68   │ 0.027451072555966678917505063851 │  8  │ 91  │ 115 │ 0.363  │ 4.651  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   31   │ 0.016751899522729218200423062513 │ 17  │ 87  │ 94  │ 0.358  │ 1.259  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  261   │ 0.036181079015135765575283954831 │ 22  │ 43  │ 13  │ 0.205  │ 4.895  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  279   │ 0.011600421457551420012510590141 │  4  │ 55  │ 76  │ 0.363  │ 24.589 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  147   │ 0.041368441553786397535397156844 │ 28  │ 12  │ 138 │ 0.363  │ 3.388  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  149   │ 0.013123235909268261834004221100 │ 13  │ 96  │ 44  │ 0.289  │ 4.807  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  273   │ 0.042882289770059291156290015579 │ 19  │ 52  │ 98  │ 0.363  │ 6.314  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  247   │ 0.018319576274603607823898698825 │  8  │ 70  │ 125 │ 0.232  │ 12.113 │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   52   │ 0.037745759294368332048552616698 │ 31  │ 26  │ 53  │ 0.311  │ 1.765  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  245   │ 0.035154782776613026362699798710 │ 23  │ 100 │ 17  │ 0.363  │ 4.796  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  290   │ 0.010044708731778071580942324204 │ 17  │ 10  │ 150 │ 0.211  │ 6.054  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  192   │ 0.029017914559679509889367210462 │ 23  │ 10  │ 28  │ 0.363  │ 3.499  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  138   │ 0.026448772518938512554598219140 │ 26  │ 93  │ 49  │ 0.247  │ 2.625  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.001778275618941191002497781426 │ 18  │ 65  │ 29  │ 0.332  │ 0.774  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  255   │ 0.036702377161129548510665188132 │ 26  │ 10  │ 10  │ 0.363  │ 3.806  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  169   │ 0.035920556584914768716298993922 │ 21  │ 100 │ 10  │ 0.363  │ 3.501  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  225   │ 0.006290266683727088921351811024 │ 25  │ 10  │ 67  │ 0.216  │ 3.819  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  307   │ 0.001000000000000000020816681712 │ 24  │ 10  │ 131 │ 0.342  │ 5.634  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  102   │ 0.016466671195461579646490690720 │ 20  │ 10  │ 10  │ 0.347  │ 2.382  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  312   │ 0.035472262753385892797286516043 │ 29  │ 100 │ 14  │ 0.363  │ 4.623  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   32   │ 0.016436425596214710581621787355 │ 32  │ 81  │ 72  │ 0.316  │ 1.180  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  171   │ 0.050000000000000002775557561563 │ 30  │ 80  │ 44  │ 0.363  │ 3.402  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  261   │ 0.001000000000000000020816681712 │ 31  │ 10  │ 89  │ 0.284  │ 3.916  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  211   │ 0.047414112337646557859827112225 │ 28  │ 100 │ 10  │ 0.216  │ 4.029  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  233   │ 0.001000000000000000020816681712 │ 27  │ 100 │ 55  │ 0.363  │ 4.840  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  250   │ 0.013389329138011180769796126810 │ 13  │ 10  │ 150 │ 0.226  │ 8.987  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  331   │ 0.038714846714429922147626683682 │ 30  │ 10  │ 10  │ 0.363  │ 5.663  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  271   │ 0.023468906952712153407558659524 │ 21  │ 100 │ 10  │ 0.195  │ 5.456  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   83   │ 0.003210403852829563173948423938 │ 32  │ 100 │ 68  │ 0.316  │ 1.630  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   13   │ 0.023552894866851022820375405331 │ 27  │ 98  │ 15  │ 0.368  │ 0.814  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   49   │ 0.037056648701197680839669601482 │ 23  │ 41  │ 10  │ 0.363  │ 1.288  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   78   │ 0.017840048082312633115353861513 │ 19  │ 70  │ 138 │ 0.253  │ 2.275  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   18   │ 0.007910658105462186825973525117 │ 23  │ 15  │ 74  │ 0.358  │ 0.796  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.037212181225611186408119834823 │ 13  │ 39  │ 52  │ 0.363  │ 0.887  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   31   │ 0.038751813244444703598912127518 │ 32  │ 42  │ 38  │ 0.326  │ 1.135  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.009039765475989246235055674106 │ 26  │ 100 │ 149 │ 0.374  │ 0.918  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   60   │ 0.009734666958629371522060402810 │ 32  │ 13  │ 115 │ 0.358  │ 1.402  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   76   │ 0.019254396179136525069086616213 │ 20  │ 69  │ 83  │ 0.226  │ 2.061  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   92   │ 0.022359736218956031972293629906 │ 28  │ 100 │ 34  │ 0.305  │ 1.856  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   17   │ 0.034765980852875695561454705285 │ 14  │ 40  │ 10  │ 0.363  │ 1.124  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   49   │ 0.041012541489051937415588611202 │ 26  │ 39  │ 14  │ 0.363  │ 1.310  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.010286126747145312235187653016 │ 13  │ 16  │ 135 │ 0.363  │ 0.915  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   39   │ 0.013127673828551298176869899237 │ 19  │ 71  │ 128 │ 0.284  │ 1.407  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   26   │ 0.023551391705564486689361558547 │ 25  │ 93  │ 10  │ 0.363  │ 1.184  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.004784644876909065550063537842 │ 23  │ 17  │ 47  │ 0.437  │ 0.771  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   19   │ 0.011242627170842837969200189718 │  4  │ 20  │ 100 │ 0.363  │ 2.748  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   11   │ 0.026752362514575585283882475096 │ 24  │ 82  │ 26  │ 0.363  │ 0.871  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   13   │ 0.021545780616768372972558154288 │ 32  │ 52  │ 142 │ 0.358  │ 0.872  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   96   │ 0.020965608120110137274627604143 │ 21  │ 64  │ 87  │ 0.237  │ 2.436  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  188   │ 0.022898357353020568766277520467 │ 32  │ 92  │ 46  │ 0.363  │ 2.711  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   42   │ 0.017134750597582310699396046516 │ 29  │ 63  │ 11  │ 0.363  │ 1.053  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.016498728306451521108400015692 │ 14  │ 66  │ 98  │ 0.368  │ 1.541  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  121   │ 0.018015571288361335866579082676 │ 25  │ 67  │ 37  │ 0.295  │ 2.948  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.050000000000000002775557561563 │ 21  │ 22  │ 109 │ 0.363  │ 0.688  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.001000000000000000020816681712 │ 14  │ 100 │ 71  │ 0.379  │ 0.909  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  228   │ 0.021949946207226362498987626282 │ 24  │ 89  │ 17  │ 0.363  │ 4.668  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.014816821196928800508096912836 │ 21  │ 52  │ 33  │ 0.363  │ 0.718  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  159   │ 0.020085184651491776175458170428 │ 32  │ 72  │ 24  │ 0.363  │ 3.020  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  249   │ 0.020404420887792654865089403415 │ 32  │ 93  │ 86  │ 0.258  │ 4.320  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   73   │ 0.018694314970287579519281351281 │ 26  │ 68  │ 15  │ 0.305  │ 1.520  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   15   │ 0.018764035219469503423805889497 │ 21  │ 65  │ 32  │ 0.305  │ 0.774  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.010315759014977853025296639089 │ 30  │ 57  │ 102 │ 0.326  │ 0.658  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.001000000000000000020816681712 │ 30  │ 79  │ 17  │ 0.311  │ 0.629  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  221   │ 0.024603077710963910246233510293 │ 25  │ 100 │ 10  │ 0.363  │ 3.557  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  176   │ 0.020865246738912861940162812857 │ 24  │ 76  │ 40  │ 0.253  │ 3.234  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│  218   │ 0.024192698558357383226136150256 │ 32  │ 100 │ 32  │ 0.363  │ 2.990  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.047758017104232400318331031031 │ 20  │ 100 │ 79  │ 0.363  │ 0.715  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   10   │ 0.034089943896800915801303943908 │ 18  │ 10  │ 132 │ 0.363  │ 0.734  │
├────────┼──────────────────────────────────┼─────┼─────┼─────┼────────┼────────┤
│   48   │ 0.016780391068874161986101967159 │ 14  │ 66  │ 11  │ 0.363  │ 1.678  │
└────────┴──────────────────────────────────┴─────┴─────┴─────┴────────┴────────┘
</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_node,RESULT,TIME,epochs,lr,bsz,da,db
0,0_0,COMPLETED,SOBOL,0.363157894736842123961650941055,9.819344043731689453125000000000,167,0.025165734171867373131226131022,6,33,48
1,1_0,COMPLETED,SOBOL,0.363157894736842123961650941055,5.379842996597290039062500000000,302,0.030816660456359386971447733572,27,80,129
2,2_0,COMPLETED,SOBOL,0.221052631578947389456857308687,5.851119041442871093750000000000,240,0.006247965059243142799116910169,16,18,103
3,3_0,COMPLETED,SOBOL,0.347368421052631548562317220785,0.755791664123535156250000000000,11,0.049794239321723582358814041982,24,66,40
4,4_0,COMPLETED,SOBOL,0.305263157894736791853063095914,1.619665861129760742187500000000,87,0.008385671833530068675077728813,30,67,19
5,5_0,COMPLETED,SOBOL,0.363157894736842123961650941055,9.185834407806396484375000000000,211,0.038336319229565561650385774328,9,23,88
6,6_0,COMPLETED,SOBOL,0.236842105263157853833888566442,6.672128915786743164062500000000,309,0.013964829079806805045560480494,20,99,150
7,7_0,COMPLETED,SOBOL,0.363157894736842123961650941055,4.690696954727172851562500000000,112,0.032816980634815993977948522797,12,54,63
8,8_0,COMPLETED,SOBOL,0.352631578947368407028761794209,3.530922651290893554687500000000,133,0.003031725915148854571395942159,18,31,123
9,9_0,COMPLETED,SOBOL,0.363157894736842123961650941055,9.062954187393188476562500000000,331,0.046766597240231931598142267603,14,77,54
10,10_0,COMPLETED,SOBOL,0.278947368421052610543142691313,2.748505592346191406250000000000,188,0.022383143469691276633559695597,32,45,28
11,11_0,COMPLETED,SOBOL,0.363157894736842123961650941055,4.651170015335083007812500000000,68,0.027451072555966678917505063851,8,91,115
12,12_0,COMPLETED,SOBOL,0.357894736842105265495206367632,1.259078741073608398437500000000,31,0.016751899522729218200423062513,17,87,94
13,13_0,COMPLETED,SOBOL,0.205263157894736814057523588417,4.895267248153686523437500000000,261,0.036181079015135765575283954831,22,43,13
14,14_0,COMPLETED,SOBOL,0.363157894736842123961650941055,24.588888645172119140625000000000,279,0.011600421457551420012510590141,4,55,76
15,15_0,COMPLETED,SOBOL,0.363157894736842123961650941055,3.388433933258056640625000000000,147,0.041368441553786397535397156844,28,12,138
16,16_0,COMPLETED,SOBOL,0.289473684210526327476031838160,4.806828498840332031250000000000,149,0.013123235909268261834004221100,13,96,44
17,17_0,COMPLETED,SOBOL,0.363157894736842123961650941055,6.314301252365112304687500000000,273,0.042882289770059291156290015579,19,52,98
18,18_0,COMPLETED,SOBOL,0.231578947368421106389746455534,12.113121271133422851562500000000,247,0.018319576274603607823898698825,8,70,125
19,19_0,COMPLETED,SOBOL,0.310526315789473650319507669337,1.765430927276611328125000000000,52,0.037745759294368332048552616698,31,26,53
20,20_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,4.795850515365600585937500000000,245,0.035154782776613026362699798710,23,100,17
21,21_0,COMPLETED,BOTORCH_MODULAR,0.210526315789473672523968161840,6.053686618804931640625000000000,290,0.010044708731778071580942324204,17,10,150
22,22_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.499123811721801757812500000000,192,0.029017914559679509889367210462,23,10,28
23,23_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,2.624860525131225585937500000000,138,0.026448772518938512554598219140,26,93,49
24,24_0,COMPLETED,BOTORCH_MODULAR,0.331578947368421084185285963031,0.774434328079223632812500000000,10,0.001778275618941191002497781426,18,65,29
25,25_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.806080341339111328125000000000,255,0.036702377161129548510665188132,26,10,10
26,26_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.501485109329223632812500000000,169,0.035920556584914768716298993922,21,100,10
27,27_0,COMPLETED,BOTORCH_MODULAR,0.215789473684210530990412735264,3.818758249282836914062500000000,225,0.006290266683727088921351811024,25,10,67
28,28_0,COMPLETED,BOTORCH_MODULAR,0.342105263157894690095872647362,5.634067296981811523437500000000,307,0.001000000000000000020816681712,24,10,131
29,29_0,COMPLETED,BOTORCH_MODULAR,0.347368421052631548562317220785,2.381961107254028320312500000000,102,0.016466671195461579646490690720,20,10,10
30,30_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,4.622593879699707031250000000000,312,0.035472262753385892797286516043,29,100,14
31,31_0,COMPLETED,BOTORCH_MODULAR,0.315789473684210508785952242761,1.179722547531127929687500000000,32,0.016436425596214710581621787355,32,81,72
32,32_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.401602506637573242187500000000,171,0.050000000000000002775557561563,30,80,44
33,33_0,COMPLETED,BOTORCH_MODULAR,0.284210526315789469009587264736,3.916226625442504882812500000000,261,0.001000000000000000020816681712,31,10,89
34,34_0,COMPLETED,BOTORCH_MODULAR,0.215789473684210530990412735264,4.029446125030517578125000000000,211,0.047414112337646557859827112225,28,100,10
35,35_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,4.840303182601928710937500000000,233,0.001000000000000000020816681712,27,100,55
36,36_0,COMPLETED,BOTORCH_MODULAR,0.226315789473684247923301882111,8.986851453781127929687500000000,250,0.013389329138011180769796126810,13,10,150
37,37_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,5.662776231765747070312500000000,331,0.038714846714429922147626683682,30,10,10
38,38_0,COMPLETED,BOTORCH_MODULAR,0.194736842105263208146936904086,5.455965757369995117187500000000,271,0.023468906952712153407558659524,21,100,10
39,39_0,COMPLETED,BOTORCH_MODULAR,0.315789473684210508785952242761,1.629568815231323242187500000000,83,0.003210403852829563173948423938,32,100,68
40,40_0,COMPLETED,BOTORCH_MODULAR,0.368421052631578982428095514479,0.814118862152099609375000000000,13,0.023552894866851022820375405331,27,98,15
41,41_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.287933349609375000000000000000,49,0.037056648701197680839669601482,23,41,10
42,42_0,COMPLETED,BOTORCH_MODULAR,0.252631578947368429233222286712,2.274517059326171875000000000000,78,0.017840048082312633115353861513,19,70,138
43,43_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,0.796066284179687500000000000000,18,0.007910658105462186825973525117,23,15,74
44,44_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.886569976806640625000000000000,10,0.037212181225611186408119834823,13,39,52
45,45_0,COMPLETED,BOTORCH_MODULAR,0.326315789473684225718841389607,1.135182380676269531250000000000,31,0.038751813244444703598912127518,32,42,38
46,46_0,COMPLETED,BOTORCH_MODULAR,0.373684210526315840894540087902,0.918281793594360351562500000000,10,0.009039765475989246235055674106,26,100,149
47,47_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,1.401770591735839843750000000000,60,0.009734666958629371522060402810,32,13,115
48,48_0,COMPLETED,BOTORCH_MODULAR,0.226315789473684247923301882111,2.060863733291625976562500000000,76,0.019254396179136525069086616213,20,69,83
49,49_0,COMPLETED,BOTORCH_MODULAR,0.305263157894736791853063095914,1.855985641479492187500000000000,92,0.022359736218956031972293629906,28,100,34
50,50_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.124317884445190429687500000000,17,0.034765980852875695561454705285,14,40,10
51,51_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.309542894363403320312500000000,49,0.041012541489051937415588611202,26,39,14
52,52_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.915099620819091796875000000000,10,0.010286126747145312235187653016,13,16,135
53,53_0,COMPLETED,BOTORCH_MODULAR,0.284210526315789469009587264736,1.407468080520629882812500000000,39,0.013127673828551298176869899237,19,71,128
54,54_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.184204816818237304687500000000,26,0.023551391705564486689361558547,25,93,10
55,55_0,COMPLETED,BOTORCH_MODULAR,0.436842105263157920447270043951,0.771383762359619140625000000000,10,0.004784644876909065550063537842,23,17,47
56,56_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.748117208480834960937500000000,19,0.011242627170842837969200189718,4,20,100
57,57_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.871429681777954101562500000000,11,0.026752362514575585283882475096,24,82,26
58,58_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,0.872460365295410156250000000000,13,0.021545780616768372972558154288,32,52,142
59,59_0,COMPLETED,BOTORCH_MODULAR,0.236842105263157853833888566442,2.436265945434570312500000000000,96,0.020965608120110137274627604143,21,64,87
60,60_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.711457014083862304687500000000,188,0.022898357353020568766277520467,32,92,46
61,61_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.052824974060058593750000000000,42,0.017134750597582310699396046516,29,63,11
62,62_0,COMPLETED,BOTORCH_MODULAR,0.368421052631578982428095514479,1.541395902633666992187500000000,10,0.016498728306451521108400015692,14,66,98
63,63_0,COMPLETED,BOTORCH_MODULAR,0.294736842105263185942476411583,2.948386669158935546875000000000,121,0.018015571288361335866579082676,25,67,37
64,64_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.688217401504516601562500000000,10,0.050000000000000002775557561563,21,22,109
65,65_0,COMPLETED,BOTORCH_MODULAR,0.378947368421052588338682198810,0.908640623092651367187500000000,10,0.001000000000000000020816681712,14,100,71
66,66_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,4.667636156082153320312500000000,228,0.021949946207226362498987626282,24,89,17
67,67_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.718033075332641601562500000000,10,0.014816821196928800508096912836,21,52,33
68,68_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.020486116409301757812500000000,159,0.020085184651491776175458170428,32,72,24
69,69_0,COMPLETED,BOTORCH_MODULAR,0.257894736842105287699666860135,4.320197343826293945312500000000,249,0.020404420887792654865089403415,32,93,86
70,70_0,COMPLETED,BOTORCH_MODULAR,0.305263157894736791853063095914,1.520062685012817382812500000000,73,0.018694314970287579519281351281,26,68,15
71,71_0,COMPLETED,BOTORCH_MODULAR,0.305263157894736791853063095914,0.773568630218505859375000000000,15,0.018764035219469503423805889497,21,65,32
72,72_0,COMPLETED,BOTORCH_MODULAR,0.326315789473684225718841389607,0.657932996749877929687500000000,10,0.010315759014977853025296639089,30,57,102
73,73_0,COMPLETED,BOTORCH_MODULAR,0.310526315789473650319507669337,0.628964185714721679687500000000,10,0.001000000000000000020816681712,30,79,17
74,74_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.557402610778808593750000000000,221,0.024603077710963910246233510293,25,100,10
75,75_0,COMPLETED,BOTORCH_MODULAR,0.252631578947368429233222286712,3.234236240386962890625000000000,176,0.020865246738912861940162812857,24,76,40
76,76_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.989653587341308593750000000000,218,0.024192698558357383226136150256,32,100,32
77,77_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.715386152267456054687500000000,10,0.047758017104232400318331031031,20,100,79
78,78_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.734168529510498046875000000000,10,0.034089943896800915801303943908,18,10,132
79,79_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.678103923797607421875000000000,48,0.016780391068874161986101967159,14,66,11
80,80_0,COMPLETED,BOTORCH_MODULAR,0.257894736842105287699666860135,1.899904012680053710937500000000,84,0.021873201045227764344192067369,21,69,22
81,81_0,COMPLETED,BOTORCH_MODULAR,0.331578947368421084185285963031,0.966489553451538085937500000000,26,0.019694405882605538898877384213,21,57,82
82,82_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.575339078903198242187500000000,73,0.039567302609453888773138885426,21,52,12
83,83_0,COMPLETED,BOTORCH_MODULAR,0.552631578947368362619840809202,2.040219783782958984375000000000,84,0.001000000000000000020816681712,21,74,139
84,84_0,COMPLETED,BOTORCH_MODULAR,0.442105263157894778913714617374,0.922143220901489257812500000000,25,0.001000000000000000020816681712,21,74,10
85,85_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,4.713181018829345703125000000000,266,0.026197138400237657274161051646,22,73,10
86,86_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.919601440429687500000000000000,25,0.050000000000000002775557561563,21,44,15
87,87_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.907364130020141601562500000000,78,0.050000000000000002775557561563,20,84,10
88,88_0,COMPLETED,BOTORCH_MODULAR,0.315789473684210508785952242761,1.682178974151611328125000000000,68,0.003808394856443331720485812042,20,86,69
89,89_0,COMPLETED,BOTORCH_MODULAR,0.352631578947368407028761794209,2.043324947357177734375000000000,84,0.043159152387684987517424417547,21,60,111
90,90_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.003968954086303710937500000000,82,0.042046245949123414731296577429,22,63,141
91,91_0,COMPLETED,BOTORCH_MODULAR,0.405263157894736880670905065926,1.749819040298461914062500000000,74,0.001000000000000000020816681712,20,51,18
92,92_0,COMPLETED,BOTORCH_MODULAR,0.452631578947368384824301301705,0.967691183090209960937500000000,28,0.001000000000000000020816681712,20,30,35
93,93_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.048441171646118164062500000000,30,0.036323658797069668935364461504,21,24,137
94,94_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,2.088775396347045898437500000000,84,0.026172364184310358686813557938,21,93,136
95,95_0,COMPLETED,BOTORCH_MODULAR,0.352631578947368407028761794209,1.746412038803100585937500000000,67,0.001000000000000000020816681712,19,47,18
96,96_0,COMPLETED,BOTORCH_MODULAR,0.342105263157894690095872647362,1.762599229812622070312500000000,73,0.001009451707370359304152818147,22,61,90
97,97_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.653095960617065429687500000000,68,0.050000000000000002775557561563,20,83,30
98,98_0,COMPLETED,BOTORCH_MODULAR,0.284210526315789469009587264736,1.998153209686279296875000000000,83,0.008446320255250584774220357076,21,37,113
99,99_0,COMPLETED,BOTORCH_MODULAR,0.478947368421052677156524168822,1.738973855972290039062500000000,74,0.001000000000000000020816681712,22,81,58
100,100_0,COMPLETED,BOTORCH_MODULAR,0.331578947368421084185285963031,4.798894166946411132812500000000,218,0.015058113339598333535462870714,21,24,106
101,101_0,COMPLETED,BOTORCH_MODULAR,0.336842105263157942651730536454,3.681075572967529296875000000000,152,0.015593936957372819124278962022,23,84,104
102,102_0,COMPLETED,BOTORCH_MODULAR,0.205263157894736814057523588417,5.119212150573730468750000000000,287,0.013316707514189160543871537357,21,10,77
103,103_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,3.985150814056396484375000000000,201,0.014425818801183602074766909595,22,100,98
104,104_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,1.953431367874145507812500000000,77,0.017355313988554735282754393211,26,40,134
105,105_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,4.370315313339233398437500000000,214,0.016687638954542626662513882252,20,57,136
106,106_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,0.800094604492187500000000000000,10,0.050000000000000002775557561563,32,22,10
107,107_0,COMPLETED,BOTORCH_MODULAR,0.368421052631578982428095514479,3.452589750289916992187500000000,197,0.014459987356561541244071023016,24,10,131
108,108_0,COMPLETED,BOTORCH_MODULAR,0.342105263157894690095872647362,2.745851039886474609375000000000,206,0.011332042737326394887809044576,32,10,57
109,109_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,5.597285270690917968750000000000,230,0.015826847001585771235188104811,19,10,115
110,110_0,COMPLETED,BOTORCH_MODULAR,0.226315789473684247923301882111,1.893258333206176757812500000000,91,0.016627220773529138159174678435,23,18,104
111,111_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,0.645890712738037109375000000000,10,0.050000000000000002775557561563,32,86,113
112,112_0,COMPLETED,BOTORCH_MODULAR,0.384210526315789446805126772233,0.738543987274169921875000000000,18,0.017460811756641474862261631529,28,28,99
113,113_0,COMPLETED,BOTORCH_MODULAR,0.352631578947368407028761794209,6.601552724838256835937500000000,290,0.013374265017281254316894312240,21,27,111
114,114_0,COMPLETED,BOTORCH_MODULAR,0.352631578947368407028761794209,4.420099973678588867187500000000,278,0.013994893351246071727667086293,25,10,120
115,115_0,COMPLETED,BOTORCH_MODULAR,0.268421052631578893610253544466,3.719097614288330078125000000000,298,0.008849506432392302557321528411,32,30,35
116,116_0,COMPLETED,BOTORCH_MODULAR,0.321052631578947367252396816184,2.569843292236328125000000000000,106,0.016197704450225770128612978738,23,92,91
117,117_0,COMPLETED,BOTORCH_MODULAR,0.294736842105263185942476411583,4.709048271179199218750000000000,287,0.010655709900943870910294819510,32,94,81
118,118_0,COMPLETED,BOTORCH_MODULAR,0.315789473684210508785952242761,1.432462453842163085937500000000,59,0.017270992465829811124411463652,22,28,103
119,119_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.153606414794921875000000000000,115,0.013190794038114968256270032043,32,59,99
120,120_0,COMPLETED,BOTORCH_MODULAR,0.252631578947368429233222286712,4.698961496353149414062500000000,293,0.007746342563878111549258154156,24,37,31
121,121_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,4.313896656036376953125000000000,167,0.009042713778955853778929174780,18,98,15
122,122_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.749392509460449218750000000000,95,0.021210992619898071803730132956,16,99,106
123,123_0,COMPLETED,BOTORCH_MODULAR,0.315789473684210508785952242761,1.159640550613403320312500000000,23,0.021402025665744086463382345187,17,96,145
124,124_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.816048860549926757812500000000,11,0.044729147235406538363200468211,31,96,71
125,125_0,COMPLETED,BOTORCH_MODULAR,0.321052631578947367252396816184,5.586854934692382812500000000000,226,0.008733179454266618013669187803,18,83,32
126,126_0,COMPLETED,BOTORCH_MODULAR,0.289473684210526327476031838160,2.508419752120971679687500000000,117,0.009035967394495665952480756289,20,87,26
127,127_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,4.561924934387207031250000000000,223,0.008187993686062742387798962795,23,50,12
128,128_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.761580467224121093750000000000,10,0.033029032131937870186977335152,32,16,86
129,129_0,COMPLETED,BOTORCH_MODULAR,0.347368421052631548562317220785,0.870492696762084960937500000000,10,0.020732050971756541685175889711,22,92,131
130,130_0,COMPLETED,BOTORCH_MODULAR,0.231578947368421106389746455534,6.727078437805175781250000000000,282,0.008481961555965488591679601882,18,20,30
131,131_0,COMPLETED,BOTORCH_MODULAR,0.273684210526315752076698117889,4.236421346664428710937500000000,198,0.005453956236871273718924690854,32,36,14
132,132_0,COMPLETED,BOTORCH_MODULAR,0.305263157894736791853063095914,4.850175142288208007812500000000,289,0.005521611330168564417408827438,32,33,114
133,133_0,COMPLETED,BOTORCH_MODULAR,0.305263157894736791853063095914,1.269444942474365234375000000000,22,0.022264506869216455636761864412,15,22,36
134,134_0,COMPLETED,BOTORCH_MODULAR,0.263157894736842146166111433558,6.706399679183959960937500000000,265,0.008038577620627755659921120923,24,41,134
135,135_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,5.879530668258666992187500000000,173,0.021017253944371507706767587820,16,91,114
136,136_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.047259569168090820312500000000,175,0.045370280329659076756776414641,32,34,124
137,137_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.666690587997436523437500000000,13,0.050000000000000002775557561563,5,86,37
138,138_0,COMPLETED,BOTORCH_MODULAR,0.242105263157894712300333139865,6.681374073028564453125000000000,334,0.007920262875971535720953653481,24,88,72
139,139_0,COMPLETED,BOTORCH_MODULAR,0.321052631578947367252396816184,0.854106187820434570312500000000,10,0.021753553873077990238327217298,20,19,26
140,140_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,5.978230476379394531250000000000,350,0.011766744014325159969902578894,32,72,62
141,141_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,4.081459999084472656250000000000,249,0.012307761428950415513727811856,32,38,12
142,142_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,5.805129051208496093750000000000,308,0.010196206425660898214902161385,32,23,150
143,143_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,5.370809793472290039062500000000,336,0.010577972880682484993486447422,28,90,11
144,144_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.822289466857910156250000000000,10,0.017938341258282846507610130971,30,100,10
145,145_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,4.305768489837646484375000000000,215,0.013338466561895769707524195269,32,100,83
146,146_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,4.940615177154541015625000000000,337,0.011311184581268441534662727577,32,10,144
147,147_0,COMPLETED,BOTORCH_MODULAR,0.326315789473684225718841389607,6.560721874237060546875000000000,350,0.010589970822866055441546784266,27,10,10
148,148_0,COMPLETED,BOTORCH_MODULAR,0.231578947368421106389746455534,3.376317262649536132812500000000,160,0.014222619868923015717943059144,32,94,141
149,149_0,COMPLETED,BOTORCH_MODULAR,0.300000000000000044408920985006,5.738165616989135742187500000000,350,0.009554121846542123347445496506,32,97,111
150,150_0,COMPLETED,BOTORCH_MODULAR,0.252631578947368429233222286712,4.494546651840209960937500000000,301,0.014120264698597749519759503301,28,13,12
151,151_0,COMPLETED,BOTORCH_MODULAR,0.226315789473684247923301882111,2.773645639419555664062500000000,147,0.014480698597924147874582700979,32,14,14
152,152_0,COMPLETED,BOTORCH_MODULAR,0.257894736842105287699666860135,1.729793787002563476562500000000,71,0.016151340195133416510753221473,31,95,11
153,153_0,COMPLETED,BOTORCH_MODULAR,0.421052631578947345047936323681,0.748667001724243164062500000000,10,0.019065171114145601505285299027,30,94,140
154,154_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,1.015931367874145507812500000000,10,0.017690739611746178483464575493,16,10,10
155,155_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.666883945465087890625000000000,274,0.012903303506371924941342754778,32,96,10
156,156_0,COMPLETED,BOTORCH_MODULAR,0.305263157894736791853063095914,4.859476566314697265625000000000,349,0.001834465998602463924702088427,32,17,27
157,157_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.760752439498901367187500000000,10,0.019818694580657547632540627092,29,28,10
158,158_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.293868541717529296875000000000,213,0.013249116355133035843882893801,32,95,13
159,159_0,COMPLETED,BOTORCH_MODULAR,0.210526315789473672523968161840,5.231222152709960937500000000000,323,0.009721892321799803157733599335,32,20,10
160,160_0,COMPLETED,BOTORCH_MODULAR,0.215789473684210530990412735264,4.211694478988647460937500000000,261,0.012568594692263158896228247841,26,10,10
161,161_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.265863895416259765625000000000,150,0.015885283340679845487386501190,23,63,10
162,162_0,COMPLETED,BOTORCH_MODULAR,0.242105263157894712300333139865,3.987356662750244140625000000000,200,0.014796708125027016947350411158,23,15,11
163,163_0,COMPLETED,BOTORCH_MODULAR,0.378947368421052588338682198810,2.013460874557495117187500000000,108,0.017467135738057745081297511547,32,10,10
164,164_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.050982713699340820312500000000,10,0.020741640066117575380566506738,23,13,150
165,165_0,COMPLETED,BOTORCH_MODULAR,0.315789473684210508785952242761,4.929847240447998046875000000000,293,0.012347276187206520162153999820,26,100,10
166,166_0,COMPLETED,BOTORCH_MODULAR,0.310526315789473650319507669337,2.406272172927856445312500000000,86,0.019812550830083971997730429848,32,12,146
167,167_0,COMPLETED,BOTORCH_MODULAR,0.352631578947368407028761794209,3.895237684249877929687500000000,219,0.016185602719743886340753036279,32,10,10
168,168_0,COMPLETED,BOTORCH_MODULAR,0.236842105263157853833888566442,2.104736804962158203125000000000,67,0.017760772605996219541957259480,30,10,10
169,169_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.213343620300292968750000000000,59,0.018124925850314735353840944754,20,10,10
170,170_0,COMPLETED,BOTORCH_MODULAR,0.347368421052631548562317220785,3.439798116683959960937500000000,148,0.016265433686136091667728820198,32,29,148
171,171_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.971276521682739257812500000000,256,0.050000000000000002775557561563,32,100,138
172,172_0,COMPLETED,BOTORCH_MODULAR,0.215789473684210530990412735264,3.631774187088012695312500000000,185,0.012452307898028295088388439638,32,10,10
173,173_0,COMPLETED,BOTORCH_MODULAR,0.357894736842105265495206367632,7.338588953018188476562500000000,274,0.017089142689518759671285508261,20,10,26
174,174_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,4.898702383041381835937500000000,52,0.016554729068186720825073265928,4,10,44
175,175_0,COMPLETED,BOTORCH_MODULAR,0.263157894736842146166111433558,4.160207033157348632812500000000,225,0.013795128447532506096862014999,20,10,11
176,176_0,COMPLETED,BOTORCH_MODULAR,0.257894736842105287699666860135,5.675985097885131835937500000000,232,0.014061697285517992667136510931,21,90,19
177,177_0,COMPLETED,BOTORCH_MODULAR,0.352631578947368407028761794209,1.970891952514648437500000000000,10,0.020717005947959693523685587024,4,24,60
178,178_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.575440645217895507812500000000,102,0.019059001095276677933965103762,20,10,150
179,179_0,COMPLETED,BOTORCH_MODULAR,0.247368421052631570766777713288,3.563948631286621093750000000000,239,0.009274821381712039514155776487,32,10,10
180,180_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.521607398986816406250000000000,269,0.012237483026339847358432422197,32,10,40
181,181_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.124553203582763671875000000000,37,0.022463693221464166305256782152,5,97,97
182,182_0,COMPLETED,BOTORCH_MODULAR,0.300000000000000044408920985006,2.778493404388427734375000000000,159,0.014098048292042478918384418307,24,22,10
183,183_0,COMPLETED,BOTORCH_MODULAR,0.321052631578947367252396816184,1.798320770263671875000000000000,87,0.013967246951436241425570372598,32,12,10
184,184_0,COMPLETED,BOTORCH_MODULAR,0.300000000000000044408920985006,2.255860090255737304687500000000,125,0.014354066078087986124689479084,23,10,32
185,185_0,COMPLETED,BOTORCH_MODULAR,0.221052631578947389456857308687,5.435386419296264648437500000000,299,0.007735569616523148804565490622,30,10,10
186,186_0,COMPLETED,BOTORCH_MODULAR,0.294736842105263185942476411583,4.156645774841308593750000000000,286,0.001000000000000000020816681712,32,10,10
187,187_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.114927768707275390625000000000,102,0.015222042034836789567431303283,23,97,22
188,188_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.283039569854736328125000000000,33,0.041834467145391344977678471651,32,84,150
189,189_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,2.077796936035156250000000000000,131,0.014574082552535935763948771182,32,100,29
190,190_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.970345973968505859375000000000,41,0.018222212736604452565369882677,31,26,10
191,191_0,COMPLETED,BOTORCH_MODULAR,0.294736842105263185942476411583,3.454062938690185546875000000000,256,0.011484316679031304764269094676,29,10,10
192,192_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,4.642595767974853515625000000000,305,0.017307149425536648423840091482,32,10,127
193,193_0,COMPLETED,BOTORCH_MODULAR,0.347368421052631548562317220785,0.626108169555664062500000000000,10,0.019458088671867577318375097661,32,10,13
194,194_0,COMPLETED,BOTORCH_MODULAR,0.352631578947368407028761794209,1.706860303878784179687500000000,59,0.020895327757268399027079652797,32,92,150
195,195_0,COMPLETED,BOTORCH_MODULAR,0.252631578947368429233222286712,5.109530687332153320312500000000,239,0.014126576444492156686694173118,32,100,150
196,196_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,3.701446533203125000000000000000,250,0.050000000000000002775557561563,32,13,13
197,197_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,0.977252244949340820312500000000,10,0.050000000000000002775557561563,9,24,146
198,198_0,COMPLETED,BOTORCH_MODULAR,0.310526315789473650319507669337,2.009477376937866210937500000000,99,0.015099486093420757745753313372,32,78,150
199,199_0,COMPLETED,BOTORCH_MODULAR,0.363157894736842123961650941055,1.203190565109252929687500000000,50,0.018931686084023558597211334131,32,100,10
</pre>
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			<script>
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			<h1>&nbsp;Progressbar log</h1>
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<pre id='simple_pre_tab_tab_progressbar_log'>2025-05-27 14:05:03: SOBOL, Started OmniOpt2 run...
2025-05-27 14:05:10: Sobol, getting new HP set #1/20
2025-05-27 14:05:12: Sobol, getting new HP set #2/20 | ETA: 1s
2025-05-27 14:05:15: Sobol, getting new HP set #3/20 | ETA: 1s
2025-05-27 14:05:18: Sobol, getting new HP set #4/20 | ETA: 1s
2025-05-27 14:05:21: Sobol, getting new HP set #5/20 | ETA: 1s
2025-05-27 14:05:23: Sobol, getting new HP set #6/20 | ETA: 0s
2025-05-27 14:05:25: Sobol, getting new HP set #7/20 | ETA: 0s
2025-05-27 14:05:27: Sobol, getting new HP set #8/20 | ETA: 0s
2025-05-27 14:05:29: Sobol, getting new HP set #9/20 | ETA: 0s
2025-05-27 14:05:31: Sobol, getting new HP set #10/20 | ETA: 0s
2025-05-27 14:05:35: Sobol, getting new HP set #11/20 | ETA: 0s
2025-05-27 14:05:37: Sobol, getting new HP set #12/20 | ETA: 0s
2025-05-27 14:05:39: Sobol, getting new HP set #13/20 | ETA: 0s
2025-05-27 14:05:41: Sobol, getting new HP set #14/20 | ETA: 0s
2025-05-27 14:05:44: Sobol, getting new HP set #15/20 | ETA: 0s
2025-05-27 14:05:46: Sobol, getting new HP set #16/20 | ETA: 0s
2025-05-27 14:05:48: Sobol, getting new HP set #17/20 | ETA: 0s
2025-05-27 14:05:51: Sobol, getting new HP set #18/20 | ETA: 0s
2025-05-27 14:05:53: Sobol, getting new HP set #19/20 | ETA: 0s
2025-05-27 14:05:55: Sobol, getting new HP set #20/20 | ETA: 0s
2025-05-27 14:05:58: Sobol, requested 20 jobs, got 20, 2.4136029481887817 s/job
2025-05-27 14:06:00: Sobol, eval #1/20 start                                   
2025-05-27 14:06:03: Sobol, eval #2/20 start                                   
2025-05-27 14:06:05: Sobol, eval #3/20 start                                   
2025-05-27 14:06:08: Sobol, eval #4/20 start                                   
2025-05-27 14:06:10: Sobol, eval #5/20 start                                   
2025-05-27 14:06:16: Sobol, eval #6/20 start                                   
2025-05-27 14:06:19: Sobol, eval #7/20 start                                   
2025-05-27 14:06:21: Sobol, eval #8/20 start                                   
2025-05-27 14:06:23: Sobol, eval #9/20 start                                   
2025-05-27 14:06:25: Sobol, eval #10/20 start                                  
2025-05-27 14:06:28: Sobol, eval #11/20 start                                  
2025-05-27 14:06:29: Sobol, eval #12/20 start                                  
2025-05-27 14:06:32: Sobol, eval #13/20 start                                  
2025-05-27 14:06:35: Sobol, eval #14/20 start                                  
2025-05-27 14:06:37: Sobol, eval #15/20 start                                  
2025-05-27 14:06:39: Sobol, eval #16/20 start                                  
2025-05-27 14:06:42: Sobol, eval #17/20 start                                  
2025-05-27 14:06:44: Sobol, eval #18/20 start                                  
2025-05-27 14:06:46: Sobol, eval #19/20 start                                  
2025-05-27 14:06:48: Sobol, eval #20/20 start                                  
2025-05-27 14:06:50: Sobol, starting new job                                   
2025-05-27 14:06:51: Sobol, starting new job                                   
2025-05-27 14:06:51: Sobol, starting new job                                   
2025-05-27 14:06:51: Sobol, starting new job                                   
2025-05-27 14:06:51: Sobol, starting new job                                   
2025-05-27 14:06:51: Sobol, starting new job                                   
2025-05-27 14:06:51: Sobol, starting new job                                   
2025-05-27 14:06:51: Sobol, starting new job                                   
2025-05-27 14:06:51: Sobol, starting new job                                   
2025-05-27 14:06:51: Sobol, starting new job                                   
2025-05-27 14:06:51: Sobol, starting new job                                   
2025-05-27 14:06:51: Sobol, starting new job                                   
2025-05-27 14:06:51: Sobol, starting new job                                   
2025-05-27 14:06:51: Sobol, starting new job                                   
2025-05-27 14:06:51: Sobol, starting new job                                   
2025-05-27 14:06:52: Sobol, starting new job                                   
2025-05-27 14:07:13: Sobol, unknown 7 = &sum;7/20, started new job                 
2025-05-27 14:07:13: Sobol, unknown 7 = &sum;7/20, started new job                 
2025-05-27 14:07:13: Sobol, unknown 7 = &sum;7/20, started new job                 
2025-05-27 14:07:14: Sobol, unknown 9 = &sum;9/20, started new job                 
2025-05-27 14:07:14: Sobol, unknown 11 = &sum;11/20, started new job               
2025-05-27 14:07:15: Sobol, unknown 11 = &sum;11/20, started new job               
2025-05-27 14:07:16: Sobol, unknown 12 = &sum;12/20, started new job               
2025-05-27 14:07:16: Sobol, unknown 12 = &sum;12/20, started new job               
2025-05-27 14:07:16: Sobol, unknown 12 = &sum;12/20, started new job               
2025-05-27 14:07:16: Sobol, unknown 16 = &sum;16/20, started new job               
2025-05-27 14:07:16: Sobol, unknown 16 = &sum;16/20, started new job               
2025-05-27 14:07:16: Sobol, unknown 16 = &sum;16/20, started new job               
2025-05-27 14:07:19: Sobol, pending 16 = &sum;16/20, started new job               
2025-05-27 14:07:19: Sobol, pending 16 = &sum;16/20, started new job               
2025-05-27 14:07:19: Sobol, pending 16 = &sum;16/20, started new job               
2025-05-27 14:07:20: Sobol, pending 16 = &sum;16/20, started new job               
2025-05-27 14:07:39: Sobol, running/pending 10/6 = &sum;16/20, starting new job    
2025-05-27 14:07:39: Sobol, running/pending 10/6 = &sum;16/20, starting new job    
2025-05-27 14:07:39: Sobol, running/pending 10/6 = &sum;16/20, starting new job    
2025-05-27 14:07:39: Sobol, running/pending 10/6 = &sum;16/20, starting new job    
2025-05-27 14:07:48: Sobol, running/pending/unknown 10/6/4 = &sum;20/20, started new job
2025-05-27 14:07:49: Sobol, running/pending/unknown 10/6/4 = &sum;20/20, started new job
2025-05-27 14:07:49: Sobol, running/pending/unknown 10/6/4 = &sum;20/20, started new job
2025-05-27 14:07:49: Sobol, running/pending/unknown 10/6/4 = &sum;20/20, started new job
2025-05-27 14:07:59: Sobol, completed/running/pending 8/2/10 = &sum;20/20, new result: 0.2789473684210526
2025-05-27 14:07:59: Sobol, completed/running/pending 8/2/10 = &sum;20/20, new result: 0.3052631578947368
2025-05-27 14:07:59: Sobol, completed/running/pending 8/2/10 = &sum;20/20, new result: 0.3631578947368421
2025-05-27 14:07:59: Sobol, completed/running/pending 8/2/10 = &sum;20/20, new result: 0.34736842105263155
2025-05-27 14:07:59: Sobol, completed/running/pending 8/2/10 = &sum;20/20, new result: 0.2210526315789474 
2025-05-27 14:07:59: Sobol, completed/running/pending 8/2/10 = &sum;20/20, new result: 0.3631578947368421 
2025-05-27 14:07:59: Sobol, completed/running/pending 8/2/10 = &sum;20/20, new result: 0.3631578947368421 
2025-05-27 14:08:00: Sobol, completed/running/pending 8/2/10 = &sum;20/20, new result: 0.23684210526315785
2025-05-27 14:08:35: Sobol, 8 done, completed/running 10/2 = &sum;12/20, finishing jobs, finished 8 jobs  
2025-05-27 14:08:41: Sobol, 8 done, completed/running 10/2 = &sum;12/20, new result: 0.3631578947368421   
2025-05-27 14:08:41: Sobol, 8 done, completed/running 10/2 = &sum;12/20, new result: 0.31052631578947365  
2025-05-27 14:08:42: Sobol, 8 done, completed/running 10/2 = &sum;12/20, new result: 0.3526315789473684   
2025-05-27 14:08:42: Sobol, 8 done, completed/running 10/2 = &sum;12/20, new result: 0.3631578947368421   
2025-05-27 14:08:42: Sobol, 8 done, completed/running 10/2 = &sum;12/20, new result: 0.3631578947368421   
2025-05-27 14:08:42: Sobol, 8 done, completed/running 10/2 = &sum;12/20, new result: 0.3631578947368421   
2025-05-27 14:08:42: Sobol, 8 done, completed/running 10/2 = &sum;12/20, new result: 0.2315789473684211   
2025-05-27 14:08:42: Sobol, 8 done, completed/running 10/2 = &sum;12/20, new result: 0.3631578947368421   
2025-05-27 14:08:42: Sobol, 8 done, completed/running 10/2 = &sum;12/20, new result: 0.3631578947368421   
2025-05-27 14:08:42: Sobol, 8 done, completed/running 10/2 = &sum;12/20, new result: 0.35789473684210527  
2025-05-27 14:08:42: Sobol, 8 done, completed/running 10/2 = &sum;12/20, new result: 0.2894736842105263   
2025-05-27 14:08:42: Sobol, 8 done, completed/running 10/2 = &sum;12/20, new result: 0.20526315789473681  
2025-05-27 14:09:52: Sobol, 20 done, finishing previous jobs (12), finished 12 jobs                   
2025-05-27 14:28:42: BoTorchGenerator, 20 done, getting new HP set #1/20                              
2025-05-27 14:28:45: BoTorchGenerator, 20 done, getting new HP set #2/20 | ETA: 1s                    
2025-05-27 14:28:48: BoTorchGenerator, 20 done, getting new HP set #3/20 | ETA: 1s                    
2025-05-27 14:28:51: BoTorchGenerator, 20 done, getting new HP set #4/20 | ETA: 1s                    
2025-05-27 14:28:54: BoTorchGenerator, 20 done, getting new HP set #5/20 | ETA: 0s                    
2025-05-27 14:28:58: BoTorchGenerator, 20 done, getting new HP set #6/20 | ETA: 0s                    
2025-05-27 14:29:01: BoTorchGenerator, 20 done, getting new HP set #7/20 | ETA: 0s                    
2025-05-27 14:29:04: BoTorchGenerator, 20 done, getting new HP set #8/20 | ETA: 0s                    
2025-05-27 14:29:07: BoTorchGenerator, 20 done, getting new HP set #9/20 | ETA: 0s                    
2025-05-27 14:29:10: BoTorchGenerator, 20 done, getting new HP set #10/20 | ETA: 0s                   
2025-05-27 14:29:13: BoTorchGenerator, 20 done, getting new HP set #11/20 | ETA: 0s                   
2025-05-27 14:29:16: BoTorchGenerator, 20 done, getting new HP set #12/20 | ETA: 0s                   
2025-05-27 14:29:19: BoTorchGenerator, 20 done, getting new HP set #13/20 | ETA: 0s                   
2025-05-27 14:29:22: BoTorchGenerator, 20 done, getting new HP set #14/20 | ETA: 0s                   
2025-05-27 14:29:26: BoTorchGenerator, 20 done, getting new HP set #15/20 | ETA: 0s                   
2025-05-27 14:29:29: BoTorchGenerator, 20 done, getting new HP set #16/20 | ETA: 0s                   
2025-05-27 14:29:32: BoTorchGenerator, 20 done, getting new HP set #17/20 | ETA: 0s                   
2025-05-27 14:29:35: BoTorchGenerator, 20 done, getting new HP set #18/20 | ETA: 0s                   
2025-05-27 14:29:38: BoTorchGenerator, 20 done, getting new HP set #19/20 | ETA: 0s                   
2025-05-27 14:29:41: BoTorchGenerator, 20 done, getting new HP set #20/20 | ETA: 0s                   
2025-05-27 14:29:43: BoTorchGenerator, 20 done, requested 20 jobs, got 20, 59.3580146074295 s/job     
2025-05-27 14:29:46: BoTorchGenerator, 20 done, eval #1/20 start                                      
2025-05-27 14:29:49: BoTorchGenerator, 20 done, eval #2/20 start                                      
2025-05-27 14:29:52: BoTorchGenerator, 20 done, eval #3/20 start                                      
2025-05-27 14:29:56: BoTorchGenerator, 20 done, eval #4/20 start                                      
2025-05-27 14:29:59: BoTorchGenerator, 20 done, eval #5/20 start                                      
2025-05-27 14:30:02: BoTorchGenerator, 20 done, eval #6/20 start                                      
2025-05-27 14:30:04: BoTorchGenerator, 20 done, eval #7/20 start                                      
2025-05-27 14:30:07: BoTorchGenerator, 20 done, eval #8/20 start                                      
2025-05-27 14:30:10: BoTorchGenerator, 20 done, eval #9/20 start                                      
2025-05-27 14:30:13: BoTorchGenerator, 20 done, eval #10/20 start                                     
2025-05-27 14:30:16: BoTorchGenerator, 20 done, eval #11/20 start                                     
2025-05-27 14:30:19: BoTorchGenerator, 20 done, eval #12/20 start                                     
2025-05-27 14:30:21: BoTorchGenerator, 20 done, eval #13/20 start                                     
2025-05-27 14:30:24: BoTorchGenerator, 20 done, eval #14/20 start                                     
2025-05-27 14:30:27: BoTorchGenerator, 20 done, eval #15/20 start                                     
2025-05-27 14:30:30: BoTorchGenerator, 20 done, eval #16/20 start                                     
2025-05-27 14:30:32: BoTorchGenerator, 20 done, eval #17/20 start                                     
2025-05-27 14:30:35: BoTorchGenerator, 20 done, eval #18/20 start                                     
2025-05-27 14:30:38: BoTorchGenerator, 20 done, eval #19/20 start                                     
2025-05-27 14:30:40: BoTorchGenerator, 20 done, eval #20/20 start                                     
2025-05-27 14:30:45: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:45: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:45: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:45: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:45: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:45: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:45: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:45: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:45: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:45: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:45: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:45: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:45: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:46: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:45: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:30:46: BoTorchGenerator, 20 done, starting new job                                      
2025-05-27 14:31:19: BoTorchGenerator, 20 done, pending/unknown 3/4 = &sum;7/20, started new job          
2025-05-27 14:31:19: BoTorchGenerator, 20 done, pending/unknown 3/5 = &sum;8/20, started new job          
2025-05-27 14:31:19: BoTorchGenerator, 20 done, pending/unknown 3/5 = &sum;8/20, started new job          
2025-05-27 14:31:19: BoTorchGenerator, 20 done, pending/unknown 3/6 = &sum;9/20, started new job          
2025-05-27 14:31:19: BoTorchGenerator, 20 done, pending/unknown 3/5 = &sum;8/20, started new job          
2025-05-27 14:31:20: BoTorchGenerator, 20 done, pending/unknown 3/9 = &sum;12/20, started new job         
2025-05-27 14:31:20: BoTorchGenerator, 20 done, pending/unknown 3/9 = &sum;12/20, started new job         
2025-05-27 14:31:21: BoTorchGenerator, 20 done, pending/unknown 3/11 = &sum;14/20, started new job        
2025-05-27 14:31:21: BoTorchGenerator, 20 done, pending/unknown 3/11 = &sum;14/20, started new job        
2025-05-27 14:31:22: BoTorchGenerator, 20 done, pending/unknown 3/13 = &sum;16/20, started new job        
2025-05-27 14:31:22: BoTorchGenerator, 20 done, pending/unknown 3/13 = &sum;16/20, started new job        
2025-05-27 14:31:23: BoTorchGenerator, 20 done, pending/unknown 3/13 = &sum;16/20, started new job        
2025-05-27 14:31:23: BoTorchGenerator, 20 done, pending/unknown 3/13 = &sum;16/20, started new job        
2025-05-27 14:31:24: BoTorchGenerator, 20 done, running/pending 10/6 = &sum;16/20, started new job        
2025-05-27 14:31:24: BoTorchGenerator, 20 done, running/pending 10/6 = &sum;16/20, started new job        
2025-05-27 14:31:24: BoTorchGenerator, 20 done, running/pending 10/6 = &sum;16/20, started new job        
2025-05-27 14:31:58: BoTorchGenerator, 20 done, completed/running 10/6 = &sum;16/20, starting new job     
2025-05-27 14:31:58: BoTorchGenerator, 20 done, completed/running 10/6 = &sum;16/20, starting new job     
2025-05-27 14:31:58: BoTorchGenerator, 20 done, completed/running 10/6 = &sum;16/20, starting new job     
2025-05-27 14:31:58: BoTorchGenerator, 20 done, completed/running 10/6 = &sum;16/20, starting new job     
2025-05-27 14:32:10: BoTorchGenerator, 20 done, completed/running/pending 10/6/1 = &sum;17/20, started new job
2025-05-27 14:32:11: BoTorchGenerator, 20 done, completed/running/pending/unknown 12/4/1/3 = &sum;20/20, started new job
2025-05-27 14:32:12: BoTorchGenerator, 20 done, completed/running/pending/unknown 12/4/1/3 = &sum;20/20, started new job
2025-05-27 14:32:12: BoTorchGenerator, 20 done, completed/running/pending/unknown 12/4/1/3 = &sum;20/20, started new job
2025-05-27 14:32:24: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 14:32:24: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.21578947368421053    
2025-05-27 14:32:24: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.28421052631578947    
2025-05-27 14:32:25: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 14:32:25: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 14:32:25: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.21052631578947367    
2025-05-27 14:32:25: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.3421052631578947     
2025-05-27 14:32:25: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.21578947368421053    
2025-05-27 14:32:25: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.3315789473684211     
2025-05-27 14:32:25: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.3157894736842105     
2025-05-27 14:32:25: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 14:32:25: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 14:32:25: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.24736842105263157    
2025-05-27 14:32:25: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 14:32:25: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.34736842105263155    
2025-05-27 14:32:26: BoTorchGenerator, 20 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 14:34:14: BoTorchGenerator, 36 done, completed 4 = &sum;4/20, finishing jobs, finished 16 jobs               
2025-05-27 14:34:20: BoTorchGenerator, 36 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                 
2025-05-27 14:34:20: BoTorchGenerator, 36 done, completed 4 = &sum;4/20, new result: 0.22631578947368425                
2025-05-27 14:34:20: BoTorchGenerator, 36 done, completed 4 = &sum;4/20, new result: 0.3157894736842105                 
2025-05-27 14:34:20: BoTorchGenerator, 36 done, completed 4 = &sum;4/20, new result: 0.1947368421052632                 
2025-05-27 14:34:50: BoTorchGenerator, 40 done, finishing previous jobs (4), finished 4 jobs                        
2025-05-27 14:52:52: BoTorchGenerator, 40 done, getting new HP set #1/20                                            
2025-05-27 14:52:56: BoTorchGenerator, 40 done, getting new HP set #2/20 | ETA: 1s                                  
2025-05-27 14:53:02: BoTorchGenerator, 40 done, getting new HP set #3/20 | ETA: 1s                                  
2025-05-27 14:53:05: BoTorchGenerator, 40 done, getting new HP set #4/20 | ETA: 1s                                  
2025-05-27 14:53:09: BoTorchGenerator, 40 done, getting new HP set #5/20 | ETA: 0s                                  
2025-05-27 14:53:12: BoTorchGenerator, 40 done, getting new HP set #6/20 | ETA: 0s                                  
2025-05-27 14:53:16: BoTorchGenerator, 40 done, getting new HP set #7/20 | ETA: 0s                                  
2025-05-27 14:53:20: BoTorchGenerator, 40 done, getting new HP set #8/20 | ETA: 0s                                  
2025-05-27 14:53:23: BoTorchGenerator, 40 done, getting new HP set #9/20 | ETA: 0s                                  
2025-05-27 14:53:27: BoTorchGenerator, 40 done, getting new HP set #10/20 | ETA: 0s                                 
2025-05-27 14:53:33: BoTorchGenerator, 40 done, getting new HP set #11/20 | ETA: 0s                                 
2025-05-27 14:53:36: BoTorchGenerator, 40 done, getting new HP set #12/20 | ETA: 0s                                 
2025-05-27 14:53:40: BoTorchGenerator, 40 done, getting new HP set #13/20 | ETA: 0s                                 
2025-05-27 14:53:43: BoTorchGenerator, 40 done, getting new HP set #14/20 | ETA: 0s                                 
2025-05-27 14:53:47: BoTorchGenerator, 40 done, getting new HP set #15/20 | ETA: 0s                                 
2025-05-27 14:53:51: BoTorchGenerator, 40 done, getting new HP set #16/20 | ETA: 0s                                 
2025-05-27 14:53:55: BoTorchGenerator, 40 done, getting new HP set #17/20 | ETA: 0s                                 
2025-05-27 14:53:59: BoTorchGenerator, 40 done, getting new HP set #18/20 | ETA: 0s                                 
2025-05-27 14:54:03: BoTorchGenerator, 40 done, getting new HP set #19/20 | ETA: 0s                                 
2025-05-27 14:54:07: BoTorchGenerator, 40 done, getting new HP set #20/20 | ETA: 0s                                 
2025-05-27 14:54:10: BoTorchGenerator, 40 done, requested 20 jobs, got 20, 57.71485222578049 s/job                  
2025-05-27 14:54:14: BoTorchGenerator, 40 done, eval #1/20 start                                                    
2025-05-27 14:54:17: BoTorchGenerator, 40 done, eval #2/20 start                                                    
2025-05-27 14:54:21: BoTorchGenerator, 40 done, eval #3/20 start                                                    
2025-05-27 14:54:24: BoTorchGenerator, 40 done, eval #4/20 start                                                    
2025-05-27 14:54:28: BoTorchGenerator, 40 done, eval #5/20 start                                                    
2025-05-27 14:54:31: BoTorchGenerator, 40 done, eval #6/20 start                                                    
2025-05-27 14:54:34: BoTorchGenerator, 40 done, eval #7/20 start                                                    
2025-05-27 14:54:38: BoTorchGenerator, 40 done, eval #8/20 start                                                    
2025-05-27 14:54:42: BoTorchGenerator, 40 done, eval #9/20 start                                                    
2025-05-27 14:54:46: BoTorchGenerator, 40 done, eval #10/20 start                                                   
2025-05-27 14:54:50: BoTorchGenerator, 40 done, eval #11/20 start                                                   
2025-05-27 14:54:54: BoTorchGenerator, 40 done, eval #12/20 start                                                   
2025-05-27 14:54:57: BoTorchGenerator, 40 done, eval #13/20 start                                                   
2025-05-27 14:55:00: BoTorchGenerator, 40 done, eval #14/20 start                                                   
2025-05-27 14:55:06: BoTorchGenerator, 40 done, eval #15/20 start                                                   
2025-05-27 14:55:09: BoTorchGenerator, 40 done, eval #16/20 start                                                   
2025-05-27 14:55:12: BoTorchGenerator, 40 done, eval #17/20 start                                                   
2025-05-27 14:55:16: BoTorchGenerator, 40 done, eval #18/20 start                                                   
2025-05-27 14:55:20: BoTorchGenerator, 40 done, eval #19/20 start                                                   
2025-05-27 14:55:24: BoTorchGenerator, 40 done, eval #20/20 start                                                   
2025-05-27 14:55:28: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:29: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:28: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:29: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:29: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:29: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:29: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:29: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:29: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:29: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:29: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:29: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:29: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:29: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:29: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:55:30: BoTorchGenerator, 40 done, starting new job                                                    
2025-05-27 14:56:12: BoTorchGenerator, 40 done, unknown 3 = &sum;3/20, started new job                                  
2025-05-27 14:56:13: BoTorchGenerator, 40 done, unknown 8 = &sum;8/20, started new job                                  
2025-05-27 14:56:13: BoTorchGenerator, 40 done, unknown 9 = &sum;9/20, started new job                                  
2025-05-27 14:56:15: BoTorchGenerator, 40 done, unknown 10 = &sum;10/20, started new job                                
2025-05-27 14:56:15: BoTorchGenerator, 40 done, unknown 10 = &sum;10/20, started new job                                
2025-05-27 14:56:15: BoTorchGenerator, 40 done, unknown 10 = &sum;10/20, started new job                                
2025-05-27 14:56:15: BoTorchGenerator, 40 done, unknown 15 = &sum;15/20, started new job                                
2025-05-27 14:56:15: BoTorchGenerator, 40 done, unknown 15 = &sum;15/20, started new job                                
2025-05-27 14:56:15: BoTorchGenerator, 40 done, unknown 13 = &sum;13/20, started new job                                
2025-05-27 14:56:15: BoTorchGenerator, 40 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 14:56:16: BoTorchGenerator, 40 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 14:56:16: BoTorchGenerator, 40 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 14:56:16: BoTorchGenerator, 40 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 14:56:17: BoTorchGenerator, 40 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 14:56:17: BoTorchGenerator, 40 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 14:56:19: BoTorchGenerator, 40 done, running/pending/unknown 10/3/3 = &sum;16/20, started new job            
2025-05-27 14:56:59: BoTorchGenerator, 40 done, completed/running 10/6 = &sum;16/20, starting new job                   
2025-05-27 14:57:01: BoTorchGenerator, 40 done, completed/running 10/6 = &sum;16/20, starting new job                   
2025-05-27 14:57:02: BoTorchGenerator, 40 done, completed/running 10/6 = &sum;16/20, starting new job                   
2025-05-27 14:57:02: BoTorchGenerator, 40 done, completed/running 10/6 = &sum;16/20, starting new job                   
2025-05-27 14:57:14: BoTorchGenerator, 40 done, completed/unknown 16/2 = &sum;18/20, started new job                    
2025-05-27 14:57:15: BoTorchGenerator, 40 done, completed/unknown 16/4 = &sum;20/20, started new job                    
2025-05-27 14:57:16: BoTorchGenerator, 40 done, completed/unknown 16/4 = &sum;20/20, started new job                    
2025-05-27 14:57:17: BoTorchGenerator, 40 done, completed/unknown 16/4 = &sum;20/20, started new job                    
2025-05-27 14:57:32: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 14:57:32: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.22631578947368425    
2025-05-27 14:57:32: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.3052631578947368     
2025-05-27 14:57:32: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.35789473684210527    
2025-05-27 14:57:32: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.368421052631579      
2025-05-27 14:57:32: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.3263157894736842     
2025-05-27 14:57:32: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 14:57:33: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.28421052631578947    
2025-05-27 14:57:32: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 14:57:33: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.35789473684210527    
2025-05-27 14:57:33: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.4368421052631579     
2025-05-27 14:57:33: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 14:57:33: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 14:57:33: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.37368421052631584    
2025-05-27 14:57:33: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 14:57:33: BoTorchGenerator, 40 done, completed/running 16/4 = &sum;20/20, new result: 0.25263157894736843    
2025-05-27 14:59:48: BoTorchGenerator, 56 done, completed 4 = &sum;4/20, finishing jobs, finished 16 jobs               
2025-05-27 14:59:54: BoTorchGenerator, 56 done, completed 4 = &sum;4/20, new result: 0.23684210526315785                
2025-05-27 14:59:54: BoTorchGenerator, 56 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                 
2025-05-27 14:59:54: BoTorchGenerator, 56 done, completed 4 = &sum;4/20, new result: 0.35789473684210527                
2025-05-27 14:59:55: BoTorchGenerator, 56 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                 
2025-05-27 15:12:13: BoTorchGenerator, 60 done, finishing previous jobs (4), finished 4 jobs                        
2025-05-27 15:40:53: BoTorchGenerator, 60 done, getting new HP set #1/20                                            
2025-05-27 15:41:02: BoTorchGenerator, 60 done, getting new HP set #2/20 | ETA: 1s                                  
2025-05-27 15:41:06: BoTorchGenerator, 60 done, getting new HP set #3/20 | ETA: 1s                                  
2025-05-27 15:41:10: BoTorchGenerator, 60 done, getting new HP set #4/20 | ETA: 1s                                  
2025-05-27 15:41:15: BoTorchGenerator, 60 done, getting new HP set #5/20 | ETA: 0s                                  
2025-05-27 15:41:21: BoTorchGenerator, 60 done, getting new HP set #6/20 | ETA: 0s                                  
2025-05-27 15:41:25: BoTorchGenerator, 60 done, getting new HP set #7/20 | ETA: 0s                                  
2025-05-27 15:41:29: BoTorchGenerator, 60 done, getting new HP set #8/20 | ETA: 0s                                  
2025-05-27 15:41:34: BoTorchGenerator, 60 done, getting new HP set #9/20 | ETA: 0s                                  
2025-05-27 15:41:38: BoTorchGenerator, 60 done, getting new HP set #10/20 | ETA: 0s                                 
2025-05-27 15:41:42: BoTorchGenerator, 60 done, getting new HP set #11/20 | ETA: 0s                                 
2025-05-27 15:41:47: BoTorchGenerator, 60 done, getting new HP set #12/20 | ETA: 0s                                 
2025-05-27 15:41:52: BoTorchGenerator, 60 done, getting new HP set #13/20 | ETA: 0s                                 
2025-05-27 15:41:56: BoTorchGenerator, 60 done, getting new HP set #14/20 | ETA: 0s                                 
2025-05-27 15:42:02: BoTorchGenerator, 60 done, getting new HP set #15/20 | ETA: 0s                                 
2025-05-27 15:42:07: BoTorchGenerator, 60 done, getting new HP set #16/20 | ETA: 0s                                 
2025-05-27 15:42:11: BoTorchGenerator, 60 done, getting new HP set #17/20 | ETA: 0s                                 
2025-05-27 15:42:16: BoTorchGenerator, 60 done, getting new HP set #18/20 | ETA: 0s                                 
2025-05-27 15:42:21: BoTorchGenerator, 60 done, getting new HP set #19/20 | ETA: 0s                                 
2025-05-27 15:42:25: BoTorchGenerator, 60 done, getting new HP set #20/20 | ETA: 0s                                 
2025-05-27 15:42:30: BoTorchGenerator, 60 done, requested 20 jobs, got 20, 90.52790899276734 s/job                  
2025-05-27 15:42:34: BoTorchGenerator, 60 done, eval #1/20 start                                                    
2025-05-27 15:42:40: BoTorchGenerator, 60 done, eval #2/20 start                                                    
2025-05-27 15:42:44: BoTorchGenerator, 60 done, eval #3/20 start                                                    
2025-05-27 15:42:48: BoTorchGenerator, 60 done, eval #4/20 start                                                    
2025-05-27 15:42:52: BoTorchGenerator, 60 done, eval #5/20 start                                                    
2025-05-27 15:42:57: BoTorchGenerator, 60 done, eval #6/20 start                                                    
2025-05-27 15:43:01: BoTorchGenerator, 60 done, eval #7/20 start                                                    
2025-05-27 15:43:05: BoTorchGenerator, 60 done, eval #8/20 start                                                    
2025-05-27 15:43:10: BoTorchGenerator, 60 done, eval #9/20 start                                                    
2025-05-27 15:43:14: BoTorchGenerator, 60 done, eval #10/20 start                                                   
2025-05-27 15:43:19: BoTorchGenerator, 60 done, eval #11/20 start                                                   
2025-05-27 15:43:23: BoTorchGenerator, 60 done, eval #12/20 start                                                   
2025-05-27 15:43:27: BoTorchGenerator, 60 done, eval #13/20 start                                                   
2025-05-27 15:43:31: BoTorchGenerator, 60 done, eval #14/20 start                                                   
2025-05-27 15:43:36: BoTorchGenerator, 60 done, eval #15/20 start                                                   
2025-05-27 15:43:41: BoTorchGenerator, 60 done, eval #16/20 start                                                   
2025-05-27 15:43:45: BoTorchGenerator, 60 done, eval #17/20 start                                                   
2025-05-27 15:43:49: BoTorchGenerator, 60 done, eval #18/20 start                                                   
2025-05-27 15:43:53: BoTorchGenerator, 60 done, eval #19/20 start                                                   
2025-05-27 15:43:57: BoTorchGenerator, 60 done, eval #20/20 start                                                   
2025-05-27 15:44:03: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:03: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:03: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:03: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:03: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:03: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:03: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:03: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:03: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:03: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:03: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:03: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:03: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:03: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:04: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:04: BoTorchGenerator, 60 done, starting new job                                                    
2025-05-27 15:44:59: BoTorchGenerator, 60 done, unknown 9 = &sum;9/20, started new job                                  
2025-05-27 15:45:00: BoTorchGenerator, 60 done, unknown 9 = &sum;9/20, started new job                                  
2025-05-27 15:45:00: BoTorchGenerator, 60 done, unknown 9 = &sum;9/20, started new job                                  
2025-05-27 15:45:00: BoTorchGenerator, 60 done, unknown 9 = &sum;9/20, started new job                                  
2025-05-27 15:45:00: BoTorchGenerator, 60 done, unknown 9 = &sum;9/20, started new job                                  
2025-05-27 15:45:01: BoTorchGenerator, 60 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 15:45:01: BoTorchGenerator, 60 done, unknown 12 = &sum;12/20, started new job                                
2025-05-27 15:45:01: BoTorchGenerator, 60 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 15:45:02: BoTorchGenerator, 60 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 15:45:02: BoTorchGenerator, 60 done, unknown 12 = &sum;12/20, started new job                                
2025-05-27 15:45:02: BoTorchGenerator, 60 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 15:45:02: BoTorchGenerator, 60 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 15:45:03: BoTorchGenerator, 60 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 15:45:03: BoTorchGenerator, 60 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 15:45:04: BoTorchGenerator, 60 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 15:45:04: BoTorchGenerator, 60 done, unknown 16 = &sum;16/20, started new job                                
2025-05-27 15:45:58: BoTorchGenerator, 60 done, completed/running 10/6 = &sum;16/20, starting new job                   
2025-05-27 15:45:58: BoTorchGenerator, 60 done, completed/running 10/6 = &sum;16/20, starting new job                   
2025-05-27 15:45:58: BoTorchGenerator, 60 done, completed/running 10/6 = &sum;16/20, starting new job                   
2025-05-27 15:45:58: BoTorchGenerator, 60 done, completed/running 10/6 = &sum;16/20, starting new job                   
2025-05-27 15:46:15: BoTorchGenerator, 60 done, completed/unknown 16/4 = &sum;20/20, started new job                    
2025-05-27 15:46:15: BoTorchGenerator, 60 done, completed/unknown 16/4 = &sum;20/20, started new job                    
2025-05-27 15:46:15: BoTorchGenerator, 60 done, completed/unknown 16/4 = &sum;20/20, started new job                    
2025-05-27 15:46:16: BoTorchGenerator, 60 done, completed/unknown 16/4 = &sum;20/20, started new job                    
2025-05-27 15:46:35: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.2578947368421053     
2025-05-27 15:46:35: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.25263157894736843    
2025-05-27 15:46:35: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 15:46:35: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 15:46:35: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 15:46:35: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.3263157894736842     
2025-05-27 15:46:35: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.368421052631579      
2025-05-27 15:46:35: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.31052631578947365    
2025-05-27 15:46:35: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 15:46:35: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.2947368421052632     
2025-05-27 15:46:35: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.3789473684210526     
2025-05-27 15:46:35: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.3052631578947368     
2025-05-27 15:46:35: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 15:46:36: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.3052631578947368     
2025-05-27 15:46:36: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 15:46:37: BoTorchGenerator, 60 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 15:49:16: BoTorchGenerator, 76 done, completed 4 = &sum;4/20, finishing jobs, finished 16 jobs               
2025-05-27 15:49:22: BoTorchGenerator, 76 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                 
2025-05-27 15:49:22: BoTorchGenerator, 76 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                 
2025-05-27 15:49:22: BoTorchGenerator, 76 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                 
2025-05-27 15:49:22: BoTorchGenerator, 76 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                 
2025-05-27 15:50:06: BoTorchGenerator, 80 done, finishing previous jobs (4), finished 4 jobs                        
2025-05-27 16:16:33: BoTorchGenerator, 80 done, getting new HP set #1/20                                            
2025-05-27 16:16:40: BoTorchGenerator, 80 done, getting new HP set #2/20 | ETA: 1s                                  
2025-05-27 16:16:45: BoTorchGenerator, 80 done, getting new HP set #3/20 | ETA: 1s                                  
2025-05-27 16:16:50: BoTorchGenerator, 80 done, getting new HP set #4/20 | ETA: 1s                                  
2025-05-27 16:16:55: BoTorchGenerator, 80 done, getting new HP set #5/20 | ETA: 1s                                  
2025-05-27 16:17:01: BoTorchGenerator, 80 done, getting new HP set #6/20 | ETA: 0s                                  
2025-05-27 16:17:06: BoTorchGenerator, 80 done, getting new HP set #7/20 | ETA: 0s                                  
2025-05-27 16:17:12: BoTorchGenerator, 80 done, getting new HP set #8/20 | ETA: 0s                                  
2025-05-27 16:17:17: BoTorchGenerator, 80 done, getting new HP set #9/20 | ETA: 0s                                  
2025-05-27 16:17:23: BoTorchGenerator, 80 done, getting new HP set #10/20 | ETA: 0s                                 
2025-05-27 16:17:28: BoTorchGenerator, 80 done, getting new HP set #11/20 | ETA: 0s                                 
2025-05-27 16:17:34: BoTorchGenerator, 80 done, getting new HP set #12/20 | ETA: 0s                                 
2025-05-27 16:17:40: BoTorchGenerator, 80 done, getting new HP set #13/20 | ETA: 0s                                 
2025-05-27 16:17:45: BoTorchGenerator, 80 done, getting new HP set #14/20 | ETA: 0s                                 
2025-05-27 16:17:51: BoTorchGenerator, 80 done, getting new HP set #15/20 | ETA: 0s                                 
2025-05-27 16:17:56: BoTorchGenerator, 80 done, getting new HP set #16/20 | ETA: 0s                                 
2025-05-27 16:18:03: BoTorchGenerator, 80 done, getting new HP set #17/20 | ETA: 0s                                 
2025-05-27 16:18:08: BoTorchGenerator, 80 done, getting new HP set #18/20 | ETA: 0s                                 
2025-05-27 16:18:13: BoTorchGenerator, 80 done, getting new HP set #19/20 | ETA: 0s                                 
2025-05-27 16:18:19: BoTorchGenerator, 80 done, getting new HP set #20/20 | ETA: 0s                                 
2025-05-27 16:18:24: BoTorchGenerator, 80 done, requested 20 jobs, got 20, 84.49472737312317 s/job                  
2025-05-27 16:18:29: BoTorchGenerator, 80 done, eval #1/20 start                                                    
2025-05-27 16:18:34: BoTorchGenerator, 80 done, eval #2/20 start                                                    
2025-05-27 16:18:40: BoTorchGenerator, 80 done, eval #3/20 start                                                    
2025-05-27 16:18:45: BoTorchGenerator, 80 done, eval #4/20 start                                                    
2025-05-27 16:18:51: BoTorchGenerator, 80 done, eval #5/20 start                                                    
2025-05-27 16:18:57: BoTorchGenerator, 80 done, eval #6/20 start                                                    
2025-05-27 16:19:03: BoTorchGenerator, 80 done, eval #7/20 start                                                    
2025-05-27 16:19:08: BoTorchGenerator, 80 done, eval #8/20 start                                                    
2025-05-27 16:19:13: BoTorchGenerator, 80 done, eval #9/20 start                                                    
2025-05-27 16:19:19: BoTorchGenerator, 80 done, eval #10/20 start                                                   
2025-05-27 16:19:24: BoTorchGenerator, 80 done, eval #11/20 start                                                   
2025-05-27 16:19:30: BoTorchGenerator, 80 done, eval #12/20 start                                                   
2025-05-27 16:19:35: BoTorchGenerator, 80 done, eval #13/20 start                                                   
2025-05-27 16:19:40: BoTorchGenerator, 80 done, eval #14/20 start                                                   
2025-05-27 16:19:46: BoTorchGenerator, 80 done, eval #15/20 start                                                   
2025-05-27 16:19:55: BoTorchGenerator, 80 done, eval #16/20 start                                                   
2025-05-27 16:20:01: BoTorchGenerator, 80 done, eval #17/20 start                                                   
2025-05-27 16:20:08: BoTorchGenerator, 80 done, eval #18/20 start                                                   
2025-05-27 16:20:15: BoTorchGenerator, 80 done, eval #19/20 start                                                   
2025-05-27 16:20:23: BoTorchGenerator, 80 done, eval #20/20 start                                                   
2025-05-27 16:20:30: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:30: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:30: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:30: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:30: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:30: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:30: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:30: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:30: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:30: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:30: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:30: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:30: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:31: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:31: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:20:31: BoTorchGenerator, 80 done, starting new job                                                    
2025-05-27 16:21:36: BoTorchGenerator, 80 done, pending/unknown 4/4 = &sum;8/20, started new job                        
2025-05-27 16:21:36: BoTorchGenerator, 80 done, pending/unknown 4/5 = &sum;9/20, started new job                        
2025-05-27 16:21:36: BoTorchGenerator, 80 done, pending/unknown 4/5 = &sum;9/20, started new job                        
2025-05-27 16:21:37: BoTorchGenerator, 80 done, pending/unknown 4/8 = &sum;12/20, started new job                       
2025-05-27 16:21:37: BoTorchGenerator, 80 done, pending/unknown 4/8 = &sum;12/20, started new job                       
2025-05-27 16:21:37: BoTorchGenerator, 80 done, pending/unknown 4/9 = &sum;13/20, started new job                       
2025-05-27 16:21:37: BoTorchGenerator, 80 done, pending/unknown 4/9 = &sum;13/20, started new job                       
2025-05-27 16:21:37: BoTorchGenerator, 80 done, pending/unknown 4/9 = &sum;13/20, started new job                       
2025-05-27 16:21:38: BoTorchGenerator, 80 done, pending/unknown 4/5 = &sum;9/20, started new job                        
2025-05-27 16:21:38: BoTorchGenerator, 80 done, pending/unknown 4/12 = &sum;16/20, started new job                      
2025-05-27 16:21:38: BoTorchGenerator, 80 done, pending/unknown 4/12 = &sum;16/20, started new job                      
2025-05-27 16:21:38: BoTorchGenerator, 80 done, pending/unknown 4/12 = &sum;16/20, started new job                      
2025-05-27 16:21:38: BoTorchGenerator, 80 done, pending/unknown 4/12 = &sum;16/20, started new job                      
2025-05-27 16:21:39: BoTorchGenerator, 80 done, pending/unknown 4/12 = &sum;16/20, started new job                      
2025-05-27 16:21:39: BoTorchGenerator, 80 done, pending/unknown 4/12 = &sum;16/20, started new job                      
2025-05-27 16:21:40: BoTorchGenerator, 80 done, pending/unknown 4/12 = &sum;16/20, started new job                      
2025-05-27 16:22:45: BoTorchGenerator, 80 done, completed/running 14/2 = &sum;16/20, starting new job                   
2025-05-27 16:22:45: BoTorchGenerator, 80 done, completed/running 14/2 = &sum;16/20, starting new job                   
2025-05-27 16:22:45: BoTorchGenerator, 80 done, completed/running 14/2 = &sum;16/20, starting new job                   
2025-05-27 16:22:45: BoTorchGenerator, 80 done, completed/running 14/2 = &sum;16/20, starting new job                   
2025-05-27 16:23:04: BoTorchGenerator, 80 done, completed/unknown 16/4 = &sum;20/20, started new job                    
2025-05-27 16:23:04: BoTorchGenerator, 80 done, completed/unknown 16/4 = &sum;20/20, started new job                    
2025-05-27 16:23:04: BoTorchGenerator, 80 done, completed/unknown 16/4 = &sum;20/20, started new job                    
2025-05-27 16:23:05: BoTorchGenerator, 80 done, completed/unknown 16/4 = &sum;20/20, started new job                    
2025-05-27 16:23:26: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 16:23:25: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.4526315789473684     
2025-05-27 16:23:26: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 16:23:26: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.5526315789473684     
2025-05-27 16:23:26: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.35789473684210527    
2025-05-27 16:23:26: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.3157894736842105     
2025-05-27 16:23:26: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 16:23:26: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 16:23:26: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.2578947368421053     
2025-05-27 16:23:26: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.3526315789473684     
2025-05-27 16:23:26: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 16:23:26: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.4052631578947369     
2025-05-27 16:23:26: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421     
2025-05-27 16:23:26: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.3315789473684211     
2025-05-27 16:23:27: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.3526315789473684     
2025-05-27 16:23:27: BoTorchGenerator, 80 done, completed/pending 16/4 = &sum;20/20, new result: 0.4421052631578948     
2025-05-27 16:26:33: BoTorchGenerator, 96 done, completed 4 = &sum;4/20, finishing jobs, finished 16 jobs               
2025-05-27 16:26:42: BoTorchGenerator, 96 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                 
2025-05-27 16:26:42: BoTorchGenerator, 96 done, completed 4 = &sum;4/20, new result: 0.4789473684210527                 
2025-05-27 16:26:42: BoTorchGenerator, 96 done, completed 4 = &sum;4/20, new result: 0.3421052631578947                 
2025-05-27 16:26:42: BoTorchGenerator, 96 done, completed 4 = &sum;4/20, new result: 0.28421052631578947                
2025-05-27 16:27:38: BoTorchGenerator, 100 done, finishing previous jobs (4), finished 4 jobs                       
2025-05-27 17:15:43: BoTorchGenerator, 100 done, getting new HP set #1/20                                           
2025-05-27 17:15:53: BoTorchGenerator, 100 done, getting new HP set #2/20 | ETA: 1s                                 
2025-05-27 17:15:58: BoTorchGenerator, 100 done, getting new HP set #3/20 | ETA: 0s                                 
2025-05-27 17:16:03: BoTorchGenerator, 100 done, getting new HP set #4/20 | ETA: 0s                                 
2025-05-27 17:16:09: BoTorchGenerator, 100 done, getting new HP set #5/20 | ETA: 0s                                 
2025-05-27 17:16:15: BoTorchGenerator, 100 done, getting new HP set #6/20 | ETA: 0s                                 
2025-05-27 17:16:23: BoTorchGenerator, 100 done, getting new HP set #7/20 | ETA: 0s                                 
2025-05-27 17:16:28: BoTorchGenerator, 100 done, getting new HP set #8/20 | ETA: 0s                                 
2025-05-27 17:16:34: BoTorchGenerator, 100 done, getting new HP set #9/20 | ETA: 0s                                 
2025-05-27 17:16:40: BoTorchGenerator, 100 done, getting new HP set #10/20 | ETA: 0s                                
2025-05-27 17:16:45: BoTorchGenerator, 100 done, getting new HP set #11/20 | ETA: 0s                                
2025-05-27 17:16:52: BoTorchGenerator, 100 done, getting new HP set #12/20 | ETA: 0s                                
2025-05-27 17:16:57: BoTorchGenerator, 100 done, getting new HP set #13/20 | ETA: 0s                                
2025-05-27 17:17:03: BoTorchGenerator, 100 done, getting new HP set #14/20 | ETA: 0s                                
2025-05-27 17:17:09: BoTorchGenerator, 100 done, getting new HP set #15/20 | ETA: 0s                                
2025-05-27 17:17:15: BoTorchGenerator, 100 done, getting new HP set #16/20 | ETA: 0s                                
2025-05-27 17:17:21: BoTorchGenerator, 100 done, getting new HP set #17/20 | ETA: 0s                                
2025-05-27 17:17:27: BoTorchGenerator, 100 done, getting new HP set #18/20 | ETA: 0s                                
2025-05-27 17:17:32: BoTorchGenerator, 100 done, getting new HP set #19/20 | ETA: 0s                                
2025-05-27 17:17:38: BoTorchGenerator, 100 done, getting new HP set #20/20 | ETA: 0s                                
2025-05-27 17:17:43: BoTorchGenerator, 100 done, requested 20 jobs, got 20, 149.73748581409455 s/job                
2025-05-27 17:17:48: BoTorchGenerator, 100 done, eval #1/20 start                                                   
2025-05-27 17:17:53: BoTorchGenerator, 100 done, eval #2/20 start                                                   
2025-05-27 17:18:00: BoTorchGenerator, 100 done, eval #3/20 start                                                   
2025-05-27 17:18:05: BoTorchGenerator, 100 done, eval #4/20 start                                                   
2025-05-27 17:18:11: BoTorchGenerator, 100 done, eval #5/20 start                                                   
2025-05-27 17:18:16: BoTorchGenerator, 100 done, eval #6/20 start                                                   
2025-05-27 17:18:21: BoTorchGenerator, 100 done, eval #7/20 start                                                   
2025-05-27 17:18:26: BoTorchGenerator, 100 done, eval #8/20 start                                                   
2025-05-27 17:18:31: BoTorchGenerator, 100 done, eval #9/20 start                                                   
2025-05-27 17:18:36: BoTorchGenerator, 100 done, eval #10/20 start                                                  
2025-05-27 17:18:41: BoTorchGenerator, 100 done, eval #11/20 start                                                  
2025-05-27 17:18:46: BoTorchGenerator, 100 done, eval #12/20 start                                                  
2025-05-27 17:18:51: BoTorchGenerator, 100 done, eval #13/20 start                                                  
2025-05-27 17:18:56: BoTorchGenerator, 100 done, eval #14/20 start                                                  
2025-05-27 17:19:01: BoTorchGenerator, 100 done, eval #15/20 start                                                  
2025-05-27 17:19:07: BoTorchGenerator, 100 done, eval #16/20 start                                                  
2025-05-27 17:19:12: BoTorchGenerator, 100 done, eval #17/20 start                                                  
2025-05-27 17:19:17: BoTorchGenerator, 100 done, eval #18/20 start                                                  
2025-05-27 17:19:22: BoTorchGenerator, 100 done, eval #19/20 start                                                  
2025-05-27 17:19:27: BoTorchGenerator, 100 done, eval #20/20 start                                                  
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:19:34: BoTorchGenerator, 100 done, starting new job                                                   
2025-05-27 17:20:41: BoTorchGenerator, 100 done, pending/unknown 7/2 = &sum;9/20, started new job                       
2025-05-27 17:20:41: BoTorchGenerator, 100 done, pending/unknown 7/1 = &sum;8/20, started new job                       
2025-05-27 17:20:41: BoTorchGenerator, 100 done, pending/unknown 7/2 = &sum;9/20, started new job                       
2025-05-27 17:20:41: BoTorchGenerator, 100 done, pending/unknown 7/2 = &sum;9/20, started new job                       
2025-05-27 17:20:41: BoTorchGenerator, 100 done, pending/unknown 7/3 = &sum;10/20, started new job                      
2025-05-27 17:20:42: BoTorchGenerator, 100 done, pending/unknown 7/4 = &sum;11/20, started new job                      
2025-05-27 17:20:42: BoTorchGenerator, 100 done, pending/unknown 7/4 = &sum;11/20, started new job                      
2025-05-27 17:20:42: BoTorchGenerator, 100 done, pending/unknown 7/4 = &sum;11/20, started new job                      
2025-05-27 17:20:43: BoTorchGenerator, 100 done, pending/unknown 7/8 = &sum;15/20, started new job                      
2025-05-27 17:20:43: BoTorchGenerator, 100 done, pending/unknown 7/9 = &sum;16/20, started new job                      
2025-05-27 17:20:43: BoTorchGenerator, 100 done, pending/unknown 7/9 = &sum;16/20, started new job                      
2025-05-27 17:20:44: BoTorchGenerator, 100 done, pending/unknown 7/9 = &sum;16/20, started new job                      
2025-05-27 17:20:45: BoTorchGenerator, 100 done, pending/unknown 7/9 = &sum;16/20, started new job                      
2025-05-27 17:20:45: BoTorchGenerator, 100 done, pending/unknown 7/9 = &sum;16/20, started new job                      
2025-05-27 17:20:46: BoTorchGenerator, 100 done, pending/unknown 7/9 = &sum;16/20, started new job                      
2025-05-27 17:20:46: BoTorchGenerator, 100 done, pending/unknown 7/9 = &sum;16/20, started new job                      
2025-05-27 17:21:53: BoTorchGenerator, 100 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 17:21:53: BoTorchGenerator, 100 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 17:21:53: BoTorchGenerator, 100 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 17:21:53: BoTorchGenerator, 100 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 17:22:11: BoTorchGenerator, 100 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 17:22:11: BoTorchGenerator, 100 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 17:22:11: BoTorchGenerator, 100 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 17:22:11: BoTorchGenerator, 100 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 17:22:34: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.22631578947368425   
2025-05-27 17:22:34: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.3315789473684211    
2025-05-27 17:22:34: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.3526315789473684    
2025-05-27 17:22:34: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.2684210526315789    
2025-05-27 17:22:34: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.2210526315789474    
2025-05-27 17:22:34: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.368421052631579     
2025-05-27 17:22:34: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.3526315789473684    
2025-05-27 17:22:34: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.38421052631578945   
2025-05-27 17:22:34: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.33684210526315794   
2025-05-27 17:22:34: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.35789473684210527   
2025-05-27 17:22:34: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.3421052631578947    
2025-05-27 17:22:34: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.20526315789473681   
2025-05-27 17:22:34: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.35789473684210527   
2025-05-27 17:22:34: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 17:22:35: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 17:22:35: BoTorchGenerator, 100 done, completed/running 16/4 = &sum;20/20, new result: 0.35789473684210527   
2025-05-27 17:25:38: BoTorchGenerator, 116 done, completed 4 = &sum;4/20, finishing jobs, finished 16 jobs              
2025-05-27 17:25:44: BoTorchGenerator, 116 done, completed 4 = &sum;4/20, new result: 0.2947368421052632                
2025-05-27 17:25:44: BoTorchGenerator, 116 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                
2025-05-27 17:25:44: BoTorchGenerator, 116 done, completed 4 = &sum;4/20, new result: 0.3157894736842105                
2025-05-27 17:25:45: BoTorchGenerator, 116 done, completed 4 = &sum;4/20, new result: 0.32105263157894737               
2025-05-27 17:26:35: BoTorchGenerator, 120 done, finishing previous jobs (4), finished 4 jobs                       
2025-05-27 17:54:52: BoTorchGenerator, 120 done, getting new HP set #1/20                                           
2025-05-27 17:55:01: BoTorchGenerator, 120 done, getting new HP set #2/20 | ETA: 1s                                 
2025-05-27 17:55:07: BoTorchGenerator, 120 done, getting new HP set #3/20 | ETA: 0s                                 
2025-05-27 17:55:13: BoTorchGenerator, 120 done, getting new HP set #4/20 | ETA: 0s                                 
2025-05-27 17:55:18: BoTorchGenerator, 120 done, getting new HP set #5/20 | ETA: 0s                                 
2025-05-27 17:55:24: BoTorchGenerator, 120 done, getting new HP set #6/20 | ETA: 0s                                 
2025-05-27 17:55:31: BoTorchGenerator, 120 done, getting new HP set #7/20 | ETA: 0s                                 
2025-05-27 17:55:37: BoTorchGenerator, 120 done, getting new HP set #8/20 | ETA: 0s                                 
2025-05-27 17:55:43: BoTorchGenerator, 120 done, getting new HP set #9/20 | ETA: 0s                                 
2025-05-27 17:55:49: BoTorchGenerator, 120 done, getting new HP set #10/20 | ETA: 0s                                
2025-05-27 17:55:55: BoTorchGenerator, 120 done, getting new HP set #11/20 | ETA: 0s                                
2025-05-27 17:56:01: BoTorchGenerator, 120 done, getting new HP set #12/20 | ETA: 0s                                
2025-05-27 17:56:06: BoTorchGenerator, 120 done, getting new HP set #13/20 | ETA: 0s                                
2025-05-27 17:56:12: BoTorchGenerator, 120 done, getting new HP set #14/20 | ETA: 0s                                
2025-05-27 17:56:18: BoTorchGenerator, 120 done, getting new HP set #15/20 | ETA: 0s                                
2025-05-27 17:56:24: BoTorchGenerator, 120 done, getting new HP set #16/20 | ETA: 0s                                
2025-05-27 17:56:29: BoTorchGenerator, 120 done, getting new HP set #17/20 | ETA: 0s                                
2025-05-27 17:56:35: BoTorchGenerator, 120 done, getting new HP set #18/20 | ETA: 0s                                
2025-05-27 17:56:40: BoTorchGenerator, 120 done, getting new HP set #19/20 | ETA: 0s                                
2025-05-27 17:56:46: BoTorchGenerator, 120 done, getting new HP set #20/20 | ETA: 0s                                
2025-05-27 17:56:52: BoTorchGenerator, 120 done, requested 20 jobs, got 20, 90.45735906362533 s/job                 
2025-05-27 17:56:57: BoTorchGenerator, 120 done, eval #1/20 start                                                   
2025-05-27 17:57:03: BoTorchGenerator, 120 done, eval #2/20 start                                                   
2025-05-27 17:57:09: BoTorchGenerator, 120 done, eval #3/20 start                                                   
2025-05-27 17:57:14: BoTorchGenerator, 120 done, eval #4/20 start                                                   
2025-05-27 17:57:21: BoTorchGenerator, 120 done, eval #5/20 start                                                   
2025-05-27 17:57:27: BoTorchGenerator, 120 done, eval #6/20 start                                                   
2025-05-27 17:57:33: BoTorchGenerator, 120 done, eval #7/20 start                                                   
2025-05-27 17:57:39: BoTorchGenerator, 120 done, eval #8/20 start                                                   
2025-05-27 17:57:44: BoTorchGenerator, 120 done, eval #9/20 start                                                   
2025-05-27 17:57:50: BoTorchGenerator, 120 done, eval #10/20 start                                                  
2025-05-27 17:57:57: BoTorchGenerator, 120 done, eval #11/20 start                                                  
2025-05-27 17:58:03: BoTorchGenerator, 120 done, eval #12/20 start                                                  
2025-05-27 17:58:10: BoTorchGenerator, 120 done, eval #13/20 start                                                  
2025-05-27 17:58:15: BoTorchGenerator, 120 done, eval #14/20 start                                                  
2025-05-27 17:58:21: BoTorchGenerator, 120 done, eval #15/20 start                                                  
2025-05-27 17:58:27: BoTorchGenerator, 120 done, eval #16/20 start                                                  
2025-05-27 17:58:32: BoTorchGenerator, 120 done, eval #17/20 start                                                  
2025-05-27 17:58:39: BoTorchGenerator, 120 done, eval #18/20 start                                                  
2025-05-27 17:58:44: BoTorchGenerator, 120 done, eval #19/20 start                                                  
2025-05-27 17:58:50: BoTorchGenerator, 120 done, eval #20/20 start                                                  
2025-05-27 17:58:57: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:57: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:58: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:58: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:58: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:58: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:57: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:58: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:58: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:58: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:58: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:58: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:58: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:58: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:58: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 17:58:58: BoTorchGenerator, 120 done, starting new job                                                   
2025-05-27 18:00:09: BoTorchGenerator, 120 done, unknown 7 = &sum;7/20, started new job                                 
2025-05-27 18:00:10: BoTorchGenerator, 120 done, unknown 8 = &sum;8/20, started new job                                 
2025-05-27 18:00:10: BoTorchGenerator, 120 done, unknown 8 = &sum;8/20, started new job                                 
2025-05-27 18:00:10: BoTorchGenerator, 120 done, unknown 9 = &sum;9/20, started new job                                 
2025-05-27 18:00:10: BoTorchGenerator, 120 done, unknown 9 = &sum;9/20, started new job                                 
2025-05-27 18:00:12: BoTorchGenerator, 120 done, unknown 10 = &sum;10/20, started new job                               
2025-05-27 18:00:12: BoTorchGenerator, 120 done, unknown 14 = &sum;14/20, started new job                               
2025-05-27 18:00:12: BoTorchGenerator, 120 done, unknown 14 = &sum;14/20, started new job                               
2025-05-27 18:00:12: BoTorchGenerator, 120 done, unknown 13 = &sum;13/20, started new job                               
2025-05-27 18:00:12: BoTorchGenerator, 120 done, unknown 13 = &sum;13/20, started new job                               
2025-05-27 18:00:12: BoTorchGenerator, 120 done, unknown 15 = &sum;15/20, started new job                               
2025-05-27 18:00:13: BoTorchGenerator, 120 done, unknown 16 = &sum;16/20, started new job                               
2025-05-27 18:00:13: BoTorchGenerator, 120 done, unknown 16 = &sum;16/20, started new job                               
2025-05-27 18:00:14: BoTorchGenerator, 120 done, unknown 16 = &sum;16/20, started new job                               
2025-05-27 18:00:15: BoTorchGenerator, 120 done, running/pending/unknown 9/4/3 = &sum;16/20, started new job            
2025-05-27 18:00:15: BoTorchGenerator, 120 done, running/pending/unknown 9/4/3 = &sum;16/20, started new job            
2025-05-27 18:01:25: BoTorchGenerator, 120 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 18:01:25: BoTorchGenerator, 120 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 18:01:25: BoTorchGenerator, 120 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 18:01:26: BoTorchGenerator, 120 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 18:01:48: BoTorchGenerator, 120 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 18:01:48: BoTorchGenerator, 120 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 18:01:48: BoTorchGenerator, 120 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 18:01:48: BoTorchGenerator, 120 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.34736842105263155   
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.26315789473684215   
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.27368421052631575   
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.3052631578947368    
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.2315789473684211    
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.3157894736842105    
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.2894736842105263    
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.25263157894736843   
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.3052631578947368    
2025-05-27 18:02:11: BoTorchGenerator, 120 done, completed/pending 16/4 = &sum;20/20, new result: 0.32105263157894737   
2025-05-27 18:05:35: BoTorchGenerator, 136 done, completed 4 = &sum;4/20, finishing jobs, finished 16 jobs              
2025-05-27 18:05:42: BoTorchGenerator, 136 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                
2025-05-27 18:05:42: BoTorchGenerator, 136 done, completed 4 = &sum;4/20, new result: 0.2421052631578947                
2025-05-27 18:05:42: BoTorchGenerator, 136 done, completed 4 = &sum;4/20, new result: 0.32105263157894737               
2025-05-27 18:05:42: BoTorchGenerator, 136 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                
2025-05-27 18:06:39: BoTorchGenerator, 140 done, finishing previous jobs (4), finished 4 jobs                       
2025-05-27 19:21:48: BoTorchGenerator, 140 done, getting new HP set #1/20                                           
2025-05-27 19:22:01: BoTorchGenerator, 140 done, getting new HP set #2/20 | ETA: 1s                                 
2025-05-27 19:22:07: BoTorchGenerator, 140 done, getting new HP set #3/20 | ETA: 1s                                 
2025-05-27 19:22:13: BoTorchGenerator, 140 done, getting new HP set #4/20 | ETA: 0s                                 
2025-05-27 19:22:20: BoTorchGenerator, 140 done, getting new HP set #5/20 | ETA: 0s                                 
2025-05-27 19:22:26: BoTorchGenerator, 140 done, getting new HP set #6/20 | ETA: 0s                                 
2025-05-27 19:22:33: BoTorchGenerator, 140 done, getting new HP set #7/20 | ETA: 0s                                 
2025-05-27 19:22:40: BoTorchGenerator, 140 done, getting new HP set #8/20 | ETA: 0s                                 
2025-05-27 19:22:47: BoTorchGenerator, 140 done, getting new HP set #9/20 | ETA: 0s                                 
2025-05-27 19:22:53: BoTorchGenerator, 140 done, getting new HP set #10/20 | ETA: 0s                                
2025-05-27 19:23:00: BoTorchGenerator, 140 done, getting new HP set #11/20 | ETA: 0s                                
2025-05-27 19:23:07: BoTorchGenerator, 140 done, getting new HP set #12/20 | ETA: 0s                                
2025-05-27 19:23:14: BoTorchGenerator, 140 done, getting new HP set #13/20 | ETA: 0s                                
2025-05-27 19:23:20: BoTorchGenerator, 140 done, getting new HP set #14/20 | ETA: 0s                                
2025-05-27 19:23:26: BoTorchGenerator, 140 done, getting new HP set #15/20 | ETA: 0s                                
2025-05-27 19:23:33: BoTorchGenerator, 140 done, getting new HP set #16/20 | ETA: 0s                                
2025-05-27 19:23:39: BoTorchGenerator, 140 done, getting new HP set #17/20 | ETA: 0s                                
2025-05-27 19:23:46: BoTorchGenerator, 140 done, getting new HP set #18/20 | ETA: 0s                                
2025-05-27 19:23:52: BoTorchGenerator, 140 done, getting new HP set #19/20 | ETA: 0s                                
2025-05-27 19:23:59: BoTorchGenerator, 140 done, getting new HP set #20/20 | ETA: 0s                                
2025-05-27 19:24:05: BoTorchGenerator, 140 done, requested 20 jobs, got 20, 231.89874914884567 s/job                
2025-05-27 19:24:11: BoTorchGenerator, 140 done, eval #1/20 start                                                   
2025-05-27 19:24:18: BoTorchGenerator, 140 done, eval #2/20 start                                                   
2025-05-27 19:24:24: BoTorchGenerator, 140 done, eval #3/20 start                                                   
2025-05-27 19:24:31: BoTorchGenerator, 140 done, eval #4/20 start                                                   
2025-05-27 19:24:37: BoTorchGenerator, 140 done, eval #5/20 start                                                   
2025-05-27 19:24:43: BoTorchGenerator, 140 done, eval #6/20 start                                                   
2025-05-27 19:24:49: BoTorchGenerator, 140 done, eval #7/20 start                                                   
2025-05-27 19:24:55: BoTorchGenerator, 140 done, eval #8/20 start                                                   
2025-05-27 19:25:01: BoTorchGenerator, 140 done, eval #9/20 start                                                   
2025-05-27 19:25:08: BoTorchGenerator, 140 done, eval #10/20 start                                                  
2025-05-27 19:25:15: BoTorchGenerator, 140 done, eval #11/20 start                                                  
2025-05-27 19:25:21: BoTorchGenerator, 140 done, eval #12/20 start                                                  
2025-05-27 19:25:27: BoTorchGenerator, 140 done, eval #13/20 start                                                  
2025-05-27 19:25:33: BoTorchGenerator, 140 done, eval #14/20 start                                                  
2025-05-27 19:25:39: BoTorchGenerator, 140 done, eval #15/20 start                                                  
2025-05-27 19:25:45: BoTorchGenerator, 140 done, eval #16/20 start                                                  
2025-05-27 19:25:51: BoTorchGenerator, 140 done, eval #17/20 start                                                  
2025-05-27 19:25:57: BoTorchGenerator, 140 done, eval #18/20 start                                                  
2025-05-27 19:26:03: BoTorchGenerator, 140 done, eval #19/20 start                                                  
2025-05-27 19:26:09: BoTorchGenerator, 140 done, eval #20/20 start                                                  
2025-05-27 19:26:16: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:17: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:17: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:17: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:17: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:17: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:17: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:17: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:17: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:17: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:17: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:17: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:17: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:17: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:18: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:26:18: BoTorchGenerator, 140 done, starting new job                                                   
2025-05-27 19:27:36: BoTorchGenerator, 140 done, pending/unknown 3/6 = &sum;9/20, started new job                       
2025-05-27 19:27:36: BoTorchGenerator, 140 done, pending/unknown 3/6 = &sum;9/20, started new job                       
2025-05-27 19:27:36: BoTorchGenerator, 140 done, pending/unknown 3/6 = &sum;9/20, started new job                       
2025-05-27 19:27:36: BoTorchGenerator, 140 done, pending/unknown 3/7 = &sum;10/20, started new job                      
2025-05-27 19:27:37: BoTorchGenerator, 140 done, pending/unknown 3/9 = &sum;12/20, started new job                      
2025-05-27 19:27:37: BoTorchGenerator, 140 done, pending/unknown 3/9 = &sum;12/20, started new job                      
2025-05-27 19:27:38: BoTorchGenerator, 140 done, pending/unknown 3/10 = &sum;13/20, started new job                     
2025-05-27 19:27:38: BoTorchGenerator, 140 done, pending/unknown 3/11 = &sum;14/20, started new job                     
2025-05-27 19:27:38: BoTorchGenerator, 140 done, pending/unknown 3/8 = &sum;11/20, started new job                      
2025-05-27 19:27:38: BoTorchGenerator, 140 done, pending/unknown 3/13 = &sum;16/20, started new job                     
2025-05-27 19:27:38: BoTorchGenerator, 140 done, pending/unknown 3/13 = &sum;16/20, started new job                     
2025-05-27 19:27:39: BoTorchGenerator, 140 done, pending/unknown 3/13 = &sum;16/20, started new job                     
2025-05-27 19:27:39: BoTorchGenerator, 140 done, pending/unknown 3/13 = &sum;16/20, started new job                     
2025-05-27 19:27:40: BoTorchGenerator, 140 done, pending/unknown 3/13 = &sum;16/20, started new job                     
2025-05-27 19:27:40: BoTorchGenerator, 140 done, pending/unknown 3/13 = &sum;16/20, started new job                     
2025-05-27 19:27:40: BoTorchGenerator, 140 done, pending/unknown 3/13 = &sum;16/20, started new job                     
2025-05-27 19:29:03: BoTorchGenerator, 140 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 19:29:03: BoTorchGenerator, 140 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 19:29:04: BoTorchGenerator, 140 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 19:29:05: BoTorchGenerator, 140 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 19:29:24: BoTorchGenerator, 140 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 19:29:25: BoTorchGenerator, 140 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 19:29:26: BoTorchGenerator, 140 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 19:29:26: BoTorchGenerator, 140 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 19:29:49: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 19:29:49: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.42105263157894735   
2025-05-27 19:29:50: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 19:29:50: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.35789473684210527   
2025-05-27 19:29:49: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.25263157894736843   
2025-05-27 19:29:50: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.3263157894736842    
2025-05-27 19:29:50: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.2315789473684211    
2025-05-27 19:29:50: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 19:29:50: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.2578947368421053    
2025-05-27 19:29:50: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 19:29:50: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.2210526315789474    
2025-05-27 19:29:50: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.22631578947368425   
2025-05-27 19:29:50: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 19:29:50: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.30000000000000004   
2025-05-27 19:29:50: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.35789473684210527   
2025-05-27 19:29:50: BoTorchGenerator, 140 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 19:33:27: BoTorchGenerator, 156 done, completed 4 = &sum;4/20, finishing jobs, finished 16 jobs              
2025-05-27 19:33:35: BoTorchGenerator, 156 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                
2025-05-27 19:33:35: BoTorchGenerator, 156 done, completed 4 = &sum;4/20, new result: 0.3052631578947368                
2025-05-27 19:33:35: BoTorchGenerator, 156 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                
2025-05-27 19:33:36: BoTorchGenerator, 156 done, completed 4 = &sum;4/20, new result: 0.21052631578947367               
2025-05-27 19:34:37: BoTorchGenerator, 160 done, finishing previous jobs (4), finished 4 jobs                       
2025-05-27 21:07:23: BoTorchGenerator, 160 done, getting new HP set #1/20                                           
2025-05-27 21:07:38: BoTorchGenerator, 160 done, getting new HP set #2/20 | ETA: 1s                                 
2025-05-27 21:07:45: BoTorchGenerator, 160 done, getting new HP set #3/20 | ETA: 0s                                 
2025-05-27 21:07:52: BoTorchGenerator, 160 done, getting new HP set #4/20 | ETA: 0s                                 
2025-05-27 21:07:59: BoTorchGenerator, 160 done, getting new HP set #5/20 | ETA: 0s                                 
2025-05-27 21:08:06: BoTorchGenerator, 160 done, getting new HP set #6/20 | ETA: 0s                                 
2025-05-27 21:08:12: BoTorchGenerator, 160 done, getting new HP set #7/20 | ETA: 0s                                 
2025-05-27 21:08:20: BoTorchGenerator, 160 done, getting new HP set #8/20 | ETA: 0s                                 
2025-05-27 21:08:26: BoTorchGenerator, 160 done, getting new HP set #9/20 | ETA: 0s                                 
2025-05-27 21:08:33: BoTorchGenerator, 160 done, getting new HP set #10/20 | ETA: 0s                                
2025-05-27 21:08:39: BoTorchGenerator, 160 done, getting new HP set #11/20 | ETA: 0s                                
2025-05-27 21:08:46: BoTorchGenerator, 160 done, getting new HP set #12/20 | ETA: 0s                                
2025-05-27 21:08:53: BoTorchGenerator, 160 done, getting new HP set #13/20 | ETA: 0s                                
2025-05-27 21:09:00: BoTorchGenerator, 160 done, getting new HP set #14/20 | ETA: 0s                                
2025-05-27 21:09:06: BoTorchGenerator, 160 done, getting new HP set #15/20 | ETA: 0s                                
2025-05-27 21:09:13: BoTorchGenerator, 160 done, getting new HP set #16/20 | ETA: 0s                                
2025-05-27 21:09:19: BoTorchGenerator, 160 done, getting new HP set #17/20 | ETA: 0s                                
2025-05-27 21:09:26: BoTorchGenerator, 160 done, getting new HP set #18/20 | ETA: 0s                                
2025-05-27 21:09:33: BoTorchGenerator, 160 done, getting new HP set #19/20 | ETA: 0s                                
2025-05-27 21:09:40: BoTorchGenerator, 160 done, getting new HP set #20/20 | ETA: 0s                                
2025-05-27 21:09:47: BoTorchGenerator, 160 done, requested 20 jobs, got 20, 285.0426685571671 s/job                 
2025-05-27 21:09:53: BoTorchGenerator, 160 done, eval #1/20 start                                                   
2025-05-27 21:09:59: BoTorchGenerator, 160 done, eval #2/20 start                                                   
2025-05-27 21:10:06: BoTorchGenerator, 160 done, eval #3/20 start                                                   
2025-05-27 21:10:13: BoTorchGenerator, 160 done, eval #4/20 start                                                   
2025-05-27 21:10:19: BoTorchGenerator, 160 done, eval #5/20 start                                                   
2025-05-27 21:10:26: BoTorchGenerator, 160 done, eval #6/20 start                                                   
2025-05-27 21:10:32: BoTorchGenerator, 160 done, eval #7/20 start                                                   
2025-05-27 21:10:39: BoTorchGenerator, 160 done, eval #8/20 start                                                   
2025-05-27 21:10:45: BoTorchGenerator, 160 done, eval #9/20 start                                                   
2025-05-27 21:10:52: BoTorchGenerator, 160 done, eval #10/20 start                                                  
2025-05-27 21:10:59: BoTorchGenerator, 160 done, eval #11/20 start                                                  
2025-05-27 21:11:06: BoTorchGenerator, 160 done, eval #12/20 start                                                  
2025-05-27 21:11:12: BoTorchGenerator, 160 done, eval #13/20 start                                                  
2025-05-27 21:11:19: BoTorchGenerator, 160 done, eval #14/20 start                                                  
2025-05-27 21:11:25: BoTorchGenerator, 160 done, eval #15/20 start                                                  
2025-05-27 21:11:32: BoTorchGenerator, 160 done, eval #16/20 start                                                  
2025-05-27 21:11:39: BoTorchGenerator, 160 done, eval #17/20 start                                                  
2025-05-27 21:11:45: BoTorchGenerator, 160 done, eval #18/20 start                                                  
2025-05-27 21:11:51: BoTorchGenerator, 160 done, eval #19/20 start                                                  
2025-05-27 21:11:59: BoTorchGenerator, 160 done, eval #20/20 start                                                  
2025-05-27 21:12:06: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:06: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:07: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:07: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:07: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:07: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:07: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:07: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:06: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:07: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:07: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:07: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:07: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:07: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:07: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:12:07: BoTorchGenerator, 160 done, starting new job                                                   
2025-05-27 21:13:30: BoTorchGenerator, 160 done, unknown 7 = &sum;7/20, started new job                                 
2025-05-27 21:13:30: BoTorchGenerator, 160 done, unknown 7 = &sum;7/20, started new job                                 
2025-05-27 21:13:30: BoTorchGenerator, 160 done, unknown 7 = &sum;7/20, started new job                                 
2025-05-27 21:13:30: BoTorchGenerator, 160 done, unknown 7 = &sum;7/20, started new job                                 
2025-05-27 21:13:31: BoTorchGenerator, 160 done, unknown 9 = &sum;9/20, started new job                                 
2025-05-27 21:13:31: BoTorchGenerator, 160 done, unknown 11 = &sum;11/20, started new job                               
2025-05-27 21:13:32: BoTorchGenerator, 160 done, unknown 12 = &sum;12/20, started new job                               
2025-05-27 21:13:33: BoTorchGenerator, 160 done, unknown 15 = &sum;15/20, started new job                               
2025-05-27 21:13:33: BoTorchGenerator, 160 done, unknown 15 = &sum;15/20, started new job                               
2025-05-27 21:13:33: BoTorchGenerator, 160 done, unknown 15 = &sum;15/20, started new job                               
2025-05-27 21:13:33: BoTorchGenerator, 160 done, unknown 15 = &sum;15/20, started new job                               
2025-05-27 21:13:33: BoTorchGenerator, 160 done, unknown 15 = &sum;15/20, started new job                               
2025-05-27 21:13:34: BoTorchGenerator, 160 done, unknown 16 = &sum;16/20, started new job                               
2025-05-27 21:13:34: BoTorchGenerator, 160 done, unknown 16 = &sum;16/20, started new job                               
2025-05-27 21:13:34: BoTorchGenerator, 160 done, unknown 16 = &sum;16/20, started new job                               
2025-05-27 21:13:36: BoTorchGenerator, 160 done, running/pending 10/6 = &sum;16/20, started new job                     
2025-05-27 21:15:06: BoTorchGenerator, 160 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 21:15:06: BoTorchGenerator, 160 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 21:15:06: BoTorchGenerator, 160 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 21:15:06: BoTorchGenerator, 160 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 21:15:29: BoTorchGenerator, 160 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 21:15:30: BoTorchGenerator, 160 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 21:15:30: BoTorchGenerator, 160 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 21:15:30: BoTorchGenerator, 160 done, completed/unknown 16/4 = &sum;20/20, started new job                   
2025-05-27 21:15:59: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 21:15:59: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.21578947368421053   
2025-05-27 21:15:59: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.35789473684210527   
2025-05-27 21:15:59: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.21578947368421053   
2025-05-27 21:15:59: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 21:15:59: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.31052631578947365   
2025-05-27 21:15:59: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.34736842105263155   
2025-05-27 21:16:00: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.2421052631578947    
2025-05-27 21:15:59: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.24736842105263157   
2025-05-27 21:16:00: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 21:16:00: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.3526315789473684    
2025-05-27 21:16:00: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 21:16:00: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 21:16:00: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.3526315789473684    
2025-05-27 21:16:00: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.23684210526315785   
2025-05-27 21:16:00: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 21:16:00: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.3157894736842105    
2025-05-27 21:16:00: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.3789473684210526    
2025-05-27 21:16:01: BoTorchGenerator, 160 done, completed/running 18/2 = &sum;20/20, new result: 0.26315789473684215   
2025-05-27 21:20:54: BoTorchGenerator, 179 done, completed 1 = &sum;1/20, finishing jobs, finished 19 jobs              
2025-05-27 21:21:03: BoTorchGenerator, 179 done, completed 1 = &sum;1/20, new result: 0.2578947368421053                
2025-05-27 21:21:31: BoTorchGenerator, 180 done, finishing previous jobs (1), finished 1 job                        
2025-05-27 23:17:38: BoTorchGenerator, 180 done, getting new HP set #1/20                                           
2025-05-27 23:17:54: BoTorchGenerator, 180 done, getting new HP set #2/20 | ETA: 1s                                 
2025-05-27 23:18:03: BoTorchGenerator, 180 done, getting new HP set #3/20 | ETA: 1s                                 
2025-05-27 23:18:14: BoTorchGenerator, 180 done, getting new HP set #4/20 | ETA: 1s                                 
2025-05-27 23:18:24: BoTorchGenerator, 180 done, getting new HP set #5/20 | ETA: 1s                                 
2025-05-27 23:18:37: BoTorchGenerator, 180 done, getting new HP set #6/20 | ETA: 0s                                 
2025-05-27 23:18:47: BoTorchGenerator, 180 done, getting new HP set #7/20 | ETA: 0s                                 
2025-05-27 23:18:55: BoTorchGenerator, 180 done, getting new HP set #8/20 | ETA: 0s                                 
2025-05-27 23:19:04: BoTorchGenerator, 180 done, getting new HP set #9/20 | ETA: 0s                                 
2025-05-27 23:19:11: BoTorchGenerator, 180 done, getting new HP set #10/20 | ETA: 0s                                
2025-05-27 23:19:19: BoTorchGenerator, 180 done, getting new HP set #11/20 | ETA: 0s                                
2025-05-27 23:19:28: BoTorchGenerator, 180 done, getting new HP set #12/20 | ETA: 0s                                
2025-05-27 23:19:38: BoTorchGenerator, 180 done, getting new HP set #13/20 | ETA: 0s                                
2025-05-27 23:19:47: BoTorchGenerator, 180 done, getting new HP set #14/20 | ETA: 0s                                
2025-05-27 23:19:58: BoTorchGenerator, 180 done, getting new HP set #15/20 | ETA: 0s                                
2025-05-27 23:20:07: BoTorchGenerator, 180 done, getting new HP set #16/20 | ETA: 0s                                
2025-05-27 23:20:17: BoTorchGenerator, 180 done, getting new HP set #17/20 | ETA: 0s                                
2025-05-27 23:20:26: BoTorchGenerator, 180 done, getting new HP set #18/20 | ETA: 0s                                
2025-05-27 23:20:34: BoTorchGenerator, 180 done, getting new HP set #19/20 | ETA: 0s                                
2025-05-27 23:20:45: BoTorchGenerator, 180 done, getting new HP set #20/20 | ETA: 0s                                
2025-05-27 23:20:54: BoTorchGenerator, 180 done, requested 20 jobs, got 20, 357.66192933320997 s/job                
2025-05-27 23:21:02: BoTorchGenerator, 180 done, eval #1/20 start                                                   
2025-05-27 23:21:10: BoTorchGenerator, 180 done, eval #2/20 start                                                   
2025-05-27 23:21:18: BoTorchGenerator, 180 done, eval #3/20 start                                                   
2025-05-27 23:21:26: BoTorchGenerator, 180 done, eval #4/20 start                                                   
2025-05-27 23:21:33: BoTorchGenerator, 180 done, eval #5/20 start                                                   
2025-05-27 23:21:41: BoTorchGenerator, 180 done, eval #6/20 start                                                   
2025-05-27 23:21:48: BoTorchGenerator, 180 done, eval #7/20 start                                                   
2025-05-27 23:21:55: BoTorchGenerator, 180 done, eval #8/20 start                                                   
2025-05-27 23:22:03: BoTorchGenerator, 180 done, eval #9/20 start                                                   
2025-05-27 23:22:11: BoTorchGenerator, 180 done, eval #10/20 start                                                  
2025-05-27 23:22:19: BoTorchGenerator, 180 done, eval #11/20 start                                                  
2025-05-27 23:22:27: BoTorchGenerator, 180 done, eval #12/20 start                                                  
2025-05-27 23:22:35: BoTorchGenerator, 180 done, eval #13/20 start                                                  
2025-05-27 23:22:42: BoTorchGenerator, 180 done, eval #14/20 start                                                  
2025-05-27 23:22:50: BoTorchGenerator, 180 done, eval #15/20 start                                                  
2025-05-27 23:22:57: BoTorchGenerator, 180 done, eval #16/20 start                                                  
2025-05-27 23:23:05: BoTorchGenerator, 180 done, eval #17/20 start                                                  
2025-05-27 23:23:12: BoTorchGenerator, 180 done, eval #18/20 start                                                  
2025-05-27 23:23:19: BoTorchGenerator, 180 done, eval #19/20 start                                                  
2025-05-27 23:23:27: BoTorchGenerator, 180 done, eval #20/20 start                                                  
2025-05-27 23:23:36: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:36: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:36: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:36: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:36: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:36: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:36: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:36: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:36: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:36: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:37: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:36: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:37: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:37: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:37: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:23:38: BoTorchGenerator, 180 done, starting new job                                                   
2025-05-27 23:25:17: BoTorchGenerator, 180 done, pending/unknown 3/5 = &sum;8/20, started new job                       
2025-05-27 23:25:17: BoTorchGenerator, 180 done, pending/unknown 3/6 = &sum;9/20, started new job                       
2025-05-27 23:25:18: BoTorchGenerator, 180 done, pending/unknown 3/7 = &sum;10/20, started new job                      
2025-05-27 23:25:18: BoTorchGenerator, 180 done, pending/unknown 3/7 = &sum;10/20, started new job                      
2025-05-27 23:25:19: BoTorchGenerator, 180 done, pending/unknown 3/9 = &sum;12/20, started new job                      
2025-05-27 23:25:19: BoTorchGenerator, 180 done, pending/unknown 3/9 = &sum;12/20, started new job                      
2025-05-27 23:25:19: BoTorchGenerator, 180 done, pending/unknown 3/9 = &sum;12/20, started new job                      
2025-05-27 23:25:19: BoTorchGenerator, 180 done, pending/unknown 3/10 = &sum;13/20, started new job                     
2025-05-27 23:25:20: BoTorchGenerator, 180 done, pending/unknown 3/9 = &sum;12/20, started new job                      
2025-05-27 23:25:20: BoTorchGenerator, 180 done, pending/unknown 3/12 = &sum;15/20, started new job                     
2025-05-27 23:25:20: BoTorchGenerator, 180 done, pending/unknown 3/12 = &sum;15/20, started new job                     
2025-05-27 23:25:20: BoTorchGenerator, 180 done, pending/unknown 3/12 = &sum;15/20, started new job                     
2025-05-27 23:25:22: BoTorchGenerator, 180 done, pending/unknown 3/13 = &sum;16/20, started new job                     
2025-05-27 23:25:22: BoTorchGenerator, 180 done, pending/unknown 3/13 = &sum;16/20, started new job                     
2025-05-27 23:25:22: BoTorchGenerator, 180 done, pending/unknown 3/13 = &sum;16/20, started new job                     
2025-05-27 23:25:23: BoTorchGenerator, 180 done, running 16 = &sum;16/20, started new job                               
2025-05-27 23:26:56: BoTorchGenerator, 180 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 23:26:57: BoTorchGenerator, 180 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 23:26:57: BoTorchGenerator, 180 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 23:26:57: BoTorchGenerator, 180 done, completed 16 = &sum;16/20, starting new job                            
2025-05-27 23:27:23: BoTorchGenerator, 180 done, completed/pending/unknown 16/1/3 = &sum;20/20, started new job         
2025-05-27 23:27:23: BoTorchGenerator, 180 done, completed/pending/unknown 16/1/3 = &sum;20/20, started new job         
2025-05-27 23:27:23: BoTorchGenerator, 180 done, completed/pending/unknown 16/1/3 = &sum;20/20, started new job         
2025-05-27 23:27:24: BoTorchGenerator, 180 done, completed/pending/unknown 16/1/3 = &sum;20/20, started new job         
2025-05-27 23:27:52: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 23:27:52: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 23:27:52: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.30000000000000004   
2025-05-27 23:27:52: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.2210526315789474    
2025-05-27 23:27:52: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.34736842105263155   
2025-05-27 23:27:52: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.25263157894736843   
2025-05-27 23:27:52: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 23:27:52: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.32105263157894737   
2025-05-27 23:27:52: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.3526315789473684    
2025-05-27 23:27:52: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.2947368421052632    
2025-05-27 23:27:52: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.2947368421052632    
2025-05-27 23:27:52: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 23:27:53: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 23:27:52: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 23:27:53: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.30000000000000004   
2025-05-27 23:27:53: BoTorchGenerator, 180 done, completed/running 16/4 = &sum;20/20, new result: 0.3631578947368421    
2025-05-27 23:32:17: BoTorchGenerator, 196 done, completed 4 = &sum;4/20, finishing jobs, finished 16 jobs              
2025-05-27 23:32:25: BoTorchGenerator, 196 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                
2025-05-27 23:32:25: BoTorchGenerator, 196 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                
2025-05-27 23:32:25: BoTorchGenerator, 196 done, completed 4 = &sum;4/20, new result: 0.3631578947368421                
2025-05-27 23:32:25: BoTorchGenerator, 196 done, completed 4 = &sum;4/20, new result: 0.31052631578947365               
2025-05-27 23:33:36: BoTorchGenerator, 200 done, finishing previous jobs (4), finished 4 jobs                       
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_progressbar_log")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_progressbar_log", "progressbar")'> Download &raquo;progressbar&laquo; as file</button>
			
			<h1>&nbsp;Args Overview</h1>
			<h2>Arguments Overview                                                                                           </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value                                                                                                                                                    </th></tr></thead><tbody><tr><td> config_yaml</td><td>None                                                                                                                                                     </td></tr><tr><td> config_toml</td><td>None                                                                                                                                                     </td></tr><tr><td> config_json</td><td>None                                                                                                                                                     </td></tr><tr><td> num_random_steps</td><td>20                                                                                                                                                       </td></tr><tr><td> max_eval</td><td>2000                                                                                                                                                     </td></tr><tr><td> run_program</td><td>[[&#039;YmFzaCAvZGF0YS9ob3JzZS93cy9wd2lua2xlci1vb3B0L3J1bi5zaCAlKGVwb2NocykgJShscikgJShic3opICUoZGEpICUoZGIp&#039;]]                                               </td></tr><tr><td> experiment_name</td><td>vergl_botorch_1GB_20w                                                                                                                                    </td></tr><tr><td> mem_gb</td><td>5                                                                                                                                                        </td></tr><tr><td> parameter</td><td>[[&#039;epochs&#039;, &#039;range&#039;, &#039;10&#039;, &#039;350&#039;, &#039;int&#039;, &#039;false&#039;], [&#039;lr&#039;, &#039;range&#039;, &#039;0.001&#039;, &#039;0.05&#039;, &#039;float&#039;, &#039;false&#039;], [&#039;bsz&#039;, &#039;range&#039;, &#039;4&#039;, &#039;32&#039;, &#039;int&#039;, &#039;false&#039;],      </td></tr><tr><td></td><td>[&#039;da&#039;, &#039;range&#039;, &#039;10&#039;, &#039;100&#039;, &#039;int&#039;, &#039;false&#039;], [&#039;db&#039;, &#039;range&#039;, &#039;10&#039;, &#039;150&#039;, &#039;int&#039;, &#039;false&#039;]]                                                              </td></tr><tr><td> continue_previous_job</td><td>None                                                                                                                                                     </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                                                     </td></tr><tr><td> run_dir</td><td>runs                                                                                                                                                     </td></tr><tr><td> seed</td><td>None                                                                                                                                                     </td></tr><tr><td> decimalrounding</td><td>4                                                                                                                                                        </td></tr><tr><td> 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>True                                                                                                                                                     </td></tr><tr><td> send_anonymized_usage_stats</td><td>True                                                                                                                                                     </td></tr><tr><td> ui_url</td><td>aHR0cHM6Ly9pbWFnZXNlZy5zY2Fkcy5kZS9vbW5pYXgvZ3VpP3BhcnRpdGlvbj1iYXJuYXJkJmV4cGVyaW1lbnRfbmFtZT12ZXJnbF9ib3RvcmNoXzFHQl8yMHcmcmVzZXJ2YXRpb249JmFjY291bnQ&hellip; </td></tr><tr><td> root_venv_dir</td><td>/home/pwinkler                                                                                                                                           </td></tr><tr><td> exclude</td><td>None                                                                                                                                                     </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                                                        </td></tr><tr><td> max_nr_of_zero_results</td><td>50                                                                                                                                                       </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>True                                                                                                                                                     </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                                                    </td></tr><tr><td> disable_previous_job_constraint</td><td>False                                                                                                                                                    </td></tr><tr><td> workdir</td><td></td></tr><tr><td> occ_type</td><td>euclid                                                                                                                                                   </td></tr><tr><td> result_names</td><td>[&#039;RESULT=min&#039;, &#039;TIME=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> load_data_from_existing_jobs</td><td>[]                                                                                                                                                       </td></tr><tr><td> n_estimators_randomforest</td><td>100                                                                                                                                                      </td></tr><tr><td> max_attempts_for_generation</td><td>20                                                                                                                                                       </td></tr><tr><td> external_generator</td><td>None                                                                                                                                                     </td></tr><tr><td> username</td><td>None                                                                                                                                                     </td></tr><tr><td> max_failed_jobs</td><td>0                                                                                                                                                        </td></tr><tr><td> num_cpus_main_job</td><td>None                                                                                                                                                     </td></tr><tr><td> calculate_pareto_front_of_job</td><td>[]                                                                                                                                                       </td></tr><tr><td> show_generate_time_table</td><td>False                                                                                                                                                    </td></tr><tr><td> force_choice_for_ranges</td><td>False                                                                                                                                                    </td></tr><tr><td> dont_warm_start_refitting</td><td>False                                                                                                                                                    </td></tr><tr><td> refit_on_cv</td><td>False                                                                                                                                                    </td></tr><tr><td> fit_out_of_design</td><td>False                                                                                                                                                    </td></tr><tr><td> fit_abandoned</td><td>False                                                                                                                                                    </td></tr><tr><td> dont_jit_compile</td><td>False                                                                                                                                                    </td></tr><tr><td> num_restarts</td><td>20                                                                                                                                                       </td></tr><tr><td> raw_samples</td><td>1024                                                                                                                                                     </td></tr><tr><td> no_transform_inputs</td><td>False                                                                                                                                                    </td></tr><tr><td> no_normalize_y</td><td>False                                                                                                                                                    </td></tr><tr><td> batch_limit</td><td>32                                                                                                                                                       </td></tr><tr><td> num_parallel_jobs</td><td>20                                                                                                                                                       </td></tr><tr><td> worker_timeout</td><td>30                                                                                                                                                       </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                                                    </td></tr><tr><td> time</td><td>600                                                                                                                                                      </td></tr><tr><td> partition</td><td>barnard                                                                                                                                                  </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> flame_graph</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>0                                                                                                                                                        </td></tr><tr><td> show_generation_and_submission_sixel</td><td>False                                                                                                                                                    </td></tr></tbody></table>
			<h1>&nbsp;Worker-Usage</h1>
			<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
<pre id="pre_tab_worker_usage">1748347503.7402527,20,0,0
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1748381016.9247782,20,0,0
1748381016.9396577,20,0,0
1748381016.957215,20,0,0
1748381016.9968889,20,0,0
1748381017.0357194,20,0,0
1748381017.098451,20,0,0
1748381017.1946065,20,0,0
1748381017.2799404,20,0,0
1748381018.1019003,20,0,0
1748381117.3763518,20,9,45
1748381117.4533985,20,9,45
1748381117.8414798,20,11,55
1748381117.9196947,20,11,55
1748381118.492862,20,13,65
1748381118.4995766,20,13,65
1748381118.7156641,20,14,70
1748381119.0756316,20,15,75
1748381119.286446,20,15,75
1748381120.0175488,20,16,80
1748381120.068015,20,16,80
1748381120.1377678,20,16,80
1748381121.5232422,20,16,80
1748381121.7785478,20,16,80
1748381121.8801942,20,16,80
1748381122.6861389,20,16,80
1748381216.3863351,20,0,0
1748381216.4854362,20,0,0
1748381216.5550604,20,0,0
1748381216.6691136,20,0,0
1748381243.1577044,20,4,20
1748381243.4460323,20,4,20
1748381243.6482604,20,4,20
1748381243.903135,20,4,20
1748381272.00918,20,4,20
1748381272.0236452,20,4,20
1748381272.0864449,20,4,20
1748381272.1693194,20,4,20
1748381272.3353863,20,4,20
1748381272.350574,20,4,20
1748381272.3715556,20,4,20
1748381272.3984401,20,4,20
1748381272.4634168,20,4,20
1748381272.5229023,20,4,20
1748381272.5682697,20,4,20
1748381272.61352,20,4,20
1748381272.6350486,20,4,20
1748381272.7414346,20,4,20
1748381273.0548017,20,4,20
1748381273.3369808,20,4,20
1748381373.8026128,20,0,0
1748381373.8729708,20,0,0
1748381373.9274795,20,0,0
1748381373.9923832,20,0,0
1748381374.1304448,20,0,0
1748381374.2907186,20,0,0
1748381374.6186867,20,0,0
1748381374.7035766,20,0,0
1748381374.7044504,20,0,0
1748381374.764216,20,0,0
1748381374.8094232,20,0,0
1748381374.8807065,20,0,0
1748381375.2854242,20,0,0
1748381375.3866558,20,0,0
1748381375.7670908,20,0,0
1748381375.881512,20,0,0
1748381537.1989806,20,0,0
1748381545.6233203,20,0,0
1748381545.6678317,20,0,0
1748381545.6911767,20,0,0
1748381545.7636104,20,0,0
1748381569.022261,20,0,0
1748381569.2105155,20,0,0
1748381569.249582,20,0,0
1748381569.3079112,20,0,0
</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
1748347500,635.98046875,21.4
1748347503,636.23828125,21.1
1748347506,636.5546875,21.2
1748347506,636.5546875,26.7
1748347506,636.8125,21.4
1748347506,636.8125,21.2
1748347506,636.8125,8.3
1748347695,654.8203125,22.6
1748347695,654.8203125,55.6
1748347695,654.8203125,20.0
1748347695,654.8203125,27.0
1748347695,654.8203125,31.3
1748347696,654.8203125,50.0
1748347696,654.8203125,27.8
1748347696,654.8203125,25.0
1748347696,654.8203125,22.6
1748347697,654.8203125,60.0
1748347697,654.8203125,20.2
1748347746,658.32421875,50.0
1748347746,658.32421875,21.5
1748347746,658.32421875,50.0
1748347746,658.32421875,28.6
1748347746,658.32421875,21.6
1748347746,658.32421875,21.4
1748347746,658.32421875,21.6
1748347746,658.32421875,21.1
1748347746,658.32421875,21.6
1748347746,658.32421875,22.4
1748347746,658.32421875,22.5
1748347746,658.32421875,21.6
1748347746,658.32421875,21.7
1748347747,658.32421875,21.7
1748347747,658.32421875,33.3
1748347747,658.32421875,28.2
1748347747,658.32421875,21.7
1748347747,658.32421875,22.9
1748347795,662.45703125,21.6
1748347796,662.45703125,20.7
1748347796,662.45703125,26.7
1748349185,688.0859375,23.5
1748349185,688.0859375,21.9
1748349185,688.0859375,21.1
1748349186,688.0859375,21.9
1748349186,688.0859375,20.7
1748349186,688.0859375,19.1
1748349186,688.0859375,29.4
1748349186,688.0859375,21.9
1748349186,688.0859375,21.0
1748349186,688.0859375,20.6
1748349186,688.0859375,25.0
1748349186,688.0859375,21.9
1748349186,688.0859375,20.2
1748349187,688.0859375,21.9
1748349187,688.0859375,20.7
1748349187,688.0859375,20.3
1748349187,688.0859375,20.3
1748349187,688.0859375,21.9
1748349187,688.0859375,36.4
1748349187,688.0859375,21.9
1748349187,688.0859375,20.3
1748349187,688.0859375,20.2
1748349187,688.0859375,21.9
1748349187,688.0859375,20.3
1748349188,688.0859375,21.9
1748349188,688.0859375,20.2
1748349270,692.69921875,20.8
1748349270,692.69921875,22.2
1748349270,692.69921875,20.8
1748349270,692.69921875,20.9
1748349270,692.69921875,26.7
1748349271,692.953125,20.9
1748349271,692.953125,22.7
1748349295,693.2734375,21.8
1748349295,693.2734375,20.6
1748349295,693.2734375,31.3
1748350701,655.453125,21.2
1748350701,655.453125,21.2
1748350701,655.453125,21.7
1748350701,655.453125,20.9
1748350701,655.453125,21.2
1748350701,655.453125,21.6
1748350702,655.453125,21.2
1748350702,655.453125,20.7
1748350702,655.453125,21.2
1748350702,655.453125,41.7
1748350702,655.453125,21.2
1748350702,655.453125,21.2
1748350702,655.453125,21.2
1748350702,655.453125,20.8
1748350702,655.453125,21.2
1748350702,655.453125,21.2
1748350702,655.453125,21.2
1748350702,655.453125,21.2
1748350702,655.453125,21.1
1748350702,655.453125,21.2
1748350702,655.453125,21.1
1748350703,655.453125,20.9
1748350703,655.453125,21.0
1748350703,655.453125,21.2
1748350703,655.453125,20.5
1748350703,655.453125,21.2
1748350703,655.453125,21.2
1748350703,655.453125,21.5
1748350705,655.453125,21.2
1748350705,655.453125,16.7
1748351167,655.40625,20.3
1748351167,655.40625,23.7
1748351167,655.40625,20.3
1748351167,655.40625,21.7
1748351167,655.40625,20.3
1748351167,655.40625,30.0
1748351168,655.40625,20.3
1748351168,655.40625,25.0
1748351538,649.23828125,20.8
1748351538,649.23828125,22.2
1748351539,649.23828125,20.3
1748351539,649.23828125,26.7
1748353657,534.3984375,44.4
1748353657,534.3984375,30.8
1748353657,534.3984375,22.4
1748353657,534.3984375,21.5
1748353657,534.3984375,21.7
1748353657,534.3984375,22.0
1748353657,534.3984375,21.5
1748353657,534.3984375,22.4
1748353658,534.3984375,55.6
1748353658,534.3984375,21.7
1748353658,534.3984375,22.0
1748353658,534.3984375,21.7
1748353658,534.3984375,30.8
1748353658,534.3984375,50.0
1748353658,534.3984375,22.7
1748353658,534.3984375,21.5
1748353658,534.3984375,22.6
1748353658,534.3984375,22.0
1748353659,534.3984375,28.6
1748353659,534.3984375,22.3
1748353659,534.3984375,22.2
1748353660,534.3984375,21.5
1748353660,534.3984375,23.1
1748353777,538.26171875,22.0
1748353777,538.26171875,18.0
1748353777,538.26171875,22.0
1748353777,538.26171875,22.0
1748353777,538.26171875,22.7
1748353777,538.26171875,22.0
1748353777,538.26171875,28.6
1748353813,538.7421875,22.0
1748353813,538.7421875,22.0
1748353813,538.7421875,21.8
1748353813,538.7421875,26.7
1748355875,501.875,22.2
1748355875,501.875,22.3
1748355875,501.875,22.2
1748355875,501.875,22.2
1748355875,501.875,20.9
1748355875,501.875,21.4
1748355876,501.875,22.2
1748355876,501.875,21.2
1748355876,501.875,22.2
1748355876,501.875,22.2
1748355876,501.875,22.2
1748355876,501.875,21.5
1748355876,501.875,22.2
1748355876,501.875,21.6
1748355877,501.875,22.2
1748355877,501.875,23.8
1748355877,501.875,22.2
1748355877,501.875,21.4
1748355877,501.875,22.2
1748355877,501.875,21.3
1748355878,501.875,22.2
1748355878,501.875,22.2
1748355878,501.875,21.6
1748355878,501.875,22.2
1748355878,501.875,21.4
1748355878,501.875,22.2
1748355878,501.875,21.3
1748355878,501.875,21.3
1748356021,509.59765625,22.4
1748356021,509.59765625,25.0
1748356021,509.59765625,22.4
1748356021,509.59765625,31.3
1748356021,509.59765625,22.4
1748356021,509.59765625,22.4
1748356021,509.59765625,22.2
1748356066,510.609375,22.3
1748356066,510.609375,26.9
1748356067,510.609375,22.1
1748356067,510.609375,31.2
1748359424,523.73046875,11.1
1748359424,523.73046875,14.0
1748359424,523.73046875,14.3
1748359424,523.73046875,7.9
1748359424,523.73046875,14.0
1748359424,523.73046875,7.1
1748359424,523.73046875,8.3
1748359424,523.73046875,14.0
1748359424,523.73046875,11.8
1748359424,523.73046875,14.0
1748359424,523.73046875,14.0
1748359424,523.73046875,9.1
1748359424,523.73046875,14.0
1748359424,523.73046875,8.2
1748359424,523.73046875,8.0
1748359425,523.73046875,13.7
1748359425,523.73046875,8.1
1748359425,523.73046875,7.5
1748359425,523.73046875,7.8
1748359425,523.73046875,14.0
1748359425,523.73046875,7.3
1748359426,523.73046875,14.0
1748359426,523.73046875,11.1
1748359426,523.73046875,14.0
1748359426,523.73046875,13.7
1748359426,523.73046875,7.9
1748359561,531.04296875,7.8
1748359561,531.04296875,8.1
1748359562,531.04296875,7.8
1748359562,531.04296875,7.4
1748359562,531.04296875,7.8
1748359562,531.04296875,11.1
1748359563,531.04296875,7.8
1748359563,531.04296875,9.7
1748359601,529.484375,13.2
1748359601,529.484375,7.7
1748359601,529.484375,6.7
1748359601,529.484375,7.7
1748361809,526.98828125,8.0
1748361809,526.98828125,8.0
1748361809,526.98828125,7.7
1748361809,526.98828125,10.4
1748361809,526.98828125,9.2
1748361809,526.98828125,8.0
1748361809,526.98828125,9.8
1748361809,526.98828125,8.0
1748361809,526.98828125,8.2
1748361809,526.98828125,8.0
1748361809,526.98828125,8.0
1748361809,526.98828125,8.6
1748361809,526.98828125,7.6
1748361809,526.98828125,8.0
1748361809,526.98828125,8.3
1748361809,526.98828125,8.0
1748361810,526.98828125,8.7
1748361810,526.98828125,8.0
1748361810,526.98828125,8.0
1748361810,526.98828125,8.1
1748361810,526.98828125,8.1
1748361810,526.98828125,8.0
1748361810,526.98828125,8.0
1748361810,526.98828125,8.7
1748361810,526.98828125,8.2
1748361810,526.98828125,8.0
1748361810,526.98828125,8.0
1748361810,526.98828125,4.8
1748361810,526.98828125,8.1
1748361961,536.00390625,9.0
1748361961,536.00390625,9.5
1748361961,536.00390625,9.0
1748361961,536.00390625,8.8
1748361962,536.00390625,9.0
1748361962,536.00390625,11.1
1748361962,536.00390625,9.0
1748361962,536.00390625,5.3
1748362006,536.01953125,8.1
1748362006,536.01953125,13.3
1748362006,536.01953125,8.4
1748362006,536.01953125,14.3
1748367073,566.62890625,8.1
1748367073,566.62890625,8.1
1748367073,566.62890625,7.4
1748367073,566.62890625,7.9
1748367073,566.62890625,8.1
1748367073,566.62890625,6.8
1748367073,566.62890625,8.1
1748367073,566.62890625,5.6
1748367073,566.62890625,8.1
1748367073,566.62890625,7.9
1748367073,566.62890625,8.1
1748367073,566.62890625,12.1
1748367074,566.62890625,8.1
1748367074,566.62890625,8.1
1748367074,566.62890625,10.0
1748367074,566.62890625,7.6
1748367074,566.62890625,8.1
1748367075,566.62890625,8.1
1748367075,566.62890625,7.6
1748367075,566.62890625,8.1
1748367075,566.62890625,8.1
1748367075,566.62890625,8.1
1748367075,566.62890625,8.1
1748367075,566.62890625,8.1
1748367075,566.62890625,8.1
1748367075,566.62890625,11.1
1748367075,566.62890625,7.6
1748367237,574.73828125,8.2
1748367237,574.73828125,7.8
1748367237,574.73828125,8.2
1748367237,574.73828125,11.1
1748367237,574.73828125,8.2
1748367237,574.73828125,5.6
1748367238,574.73828125,8.2
1748367284,575.1328125,8.1
1748367284,575.1328125,10.0
1748367284,575.1328125,7.1
1748367284,575.1328125,7.7
1748373472,707.71875,8.1
1748373472,707.71875,8.1
1748373472,707.71875,9.1
1748373472,707.71875,8.1
1748373472,707.71875,8.1
1748373472,707.71875,7.4
1748373472,707.71875,8.1
1748373472,707.71875,8.1
1748373472,707.71875,8.1
1748373472,707.71875,7.3
1748373472,707.71875,8.4
1748373472,707.71875,7.4
1748373472,707.71875,8.1
1748373472,707.71875,7.6
1748373472,707.71875,7.6
1748373472,707.71875,8.1
1748373472,707.71875,8.1
1748373472,707.71875,8.1
1748373472,707.71875,8.1
1748373472,707.9296875,7.3
1748373472,707.9296875,7.3
1748373473,707.9296875,7.3
1748373473,707.9296875,8.1
1748373473,707.9296875,8.1
1748373473,707.9296875,14.3
1748373473,707.9296875,7.5
1748373473,707.9296875,7.5
1748373473,707.9296875,7.4
1748373473,707.9296875,8.1
1748373473,707.9296875,8.1
1748373473,707.9296875,7.3
1748373473,707.9296875,7.1
1748373473,707.9296875,7.0
1748373474,707.9296875,7.5
1748373670,730.6875,7.4
1748373670,730.6875,5.5
1748373700,729.75390625,8.1
1748373700,729.75390625,4.4
1748373700,729.75390625,7.0
1748381373,702.0234375,8.2
1748381373,702.0234375,8.2
1748381373,702.0234375,7.9
1748381373,702.0234375,7.9
1748381373,702.0234375,8.2
1748381373,702.0234375,12.5
1748381374,702.0234375,8.2
1748381374,702.0234375,7.5
1748381374,702.0234375,8.2
1748381374,702.0234375,8.1
1748381374,702.0234375,8.2
1748381374,702.0234375,8.2
1748381374,702.0234375,8.2
1748381374,702.0234375,8.2
1748381375,702.0234375,7.9
1748381375,702.0234375,8.2
1748381375,702.0234375,8.2
1748381375,702.0234375,8.2
1748381375,702.0234375,8.2
1748381375,702.0234375,7.3
1748381375,702.0234375,7.3
1748381375,702.0234375,7.4
1748381375,702.0234375,8.2
1748381375,702.0234375,7.8
1748381376,702.0234375,8.2
1748381376,702.0234375,7.9
1748381376,702.0234375,8.2
1748381376,702.0234375,7.8
1748381569,711.05859375,8.4
1748381569,711.05859375,12.0
1748381569,711.05859375,8.4
1748381569,711.05859375,7.6
1748381569,711.05859375,8.4
1748381569,711.05859375,6.2
1748381569,711.05859375,8.4
1748381569,711.05859375,12.5
</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>
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