OmniOpt2

Setting	Value
Max. nr. evaluations	50480
Max. nr. evaluations (from arguments)	50000
Number random steps	20
Nr. of workers (parameter)	20
Main process memory (GB)	8
Worker memory (GB)	16
Nr. imported jobs	480
Generation Node	Total	COMPLETED	FAILED	RUNNING
GenerationStep_0	30	30	0	0
GenerationStep_1	538	405	68	65
SOBOL	40	22	10	8
BOTORCH_MODULAR	228	158	30	40
Name	Type	Lower bound	Upper bound	Type	Log Scale?
recent_samples_size	int	1	5000	int	No
n_samples	int	1	5000	int	No
const	float	0.001	10	float	No
max_depth	int	1	20	int	No
threshold	float	0.001	0.999	float	No
Failed	Succeeded	Running	Total
108	615	113	836
name	min/max
ACCURACY	max
RUNTIME	min
Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	20
max_eval	50000
run_program	None
experiment_name	None
mem_gb	16
parameter	None
continue_previous_job	/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/
experiment_constraints	None
run_dir	runs
seed	None
decimalrounding	4
enforce_sequential_optimization	False
verbose_tqdm	False
model	None
gridsearch	False
occ	False
show_sixel_scatter	False
show_sixel_general	False
show_sixel_trial_index_result	False
follow	False
send_anonymized_usage_stats	False
ui_url	None
root_venv_dir	/home/s4122485
exclude	None
main_process_gb	8
pareto_front_confidence	1
max_nr_of_zero_results	10
abbreviate_job_names	False
orchestrator_file	None
checkout_to_latest_tested_version	False
live_share	False
disable_tqdm	False
workdir	False
occ_type	euclid
result_names	['RESULT=min']
minkowski_p	2
signed_weighted_euclidean_weights
generation_strategy	None
generate_all_jobs_at_once	False
revert_to_random_when_seemingly_exhausted	True
load_data_from_existing_jobs	[]
n_estimators_randomforest	100
external_generator	None
username	None
max_failed_jobs	None
num_parallel_jobs	20
worker_timeout	120
slurm_use_srun	False
time
partition
reservation	None
force_local_execution	False
slurm_signal_delay_s	0
nodes_per_job	1
cpus_per_task	1
account	None
gpus	0
run_mode	local
verbose	False
verbose_break_run_search_table	False
debug	False
no_sleep	False
tests	False
show_worker_percentage_table_at_end	False
auto_exclude_defective_hosts	False
run_tests_that_fail_on_taurus	False
raise_in_eval	False
show_ram_every_n_seconds	False
Parameter	Min	Max	Mean	Std Dev	Count
generation_method	No numerical statistics available
ACCURACY	0.03	0.58	0.243	0.1278	615
RUNTIME	253	7032	1071.5236	1193.863	615
recent_samples_size	1	5000	3230.4952	1487.6475	836
n_samples	1	5000	1307.7476	1432.5011	836
const	0.001	10	3.5352	4.2781	836
max_depth	1	20	6.7141	5.8963	836
threshold	0.001	0.999	0.493	0.4649	836
Skipped tabs:
Job-Infos
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		<meta name='viewport' content='width=device-width, initial-scale=1.0'>
		<title>Exported &raquo;s4122485/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1&laquo; from OmniOpt2-Share</title>
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.error_line {
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	width: revert !important;
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#refresh_button {
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._share_link {
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}

#footer_element {
	height: 30px;
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input:checked + .slider .mode-text {
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.gui_parameter_row {
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.gui_parameter_row_cell {
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.gui_param_table {
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table td, table tr,
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.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;
	border: solid 1px;
}

#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: 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 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 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: :-webkit-scrollbar-button: vertical: end{
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}

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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: "";
	position: absolute;
	top: 1px;
	left: 2px;
	width: 100%;
	height: calc(100% - 2px);
	padding: 1px 2px;
	border-radius: 2px;
	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]): after,progress: not([value]): after: not([value]){
	animation: sliding 2s linear 0s infinite
}

progress: not([value]): after: not([value]){
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        1004.3359375,
        22.1
    ],
    [
        1745724097,
        1004.3359375,
        21.5
    ],
    [
        1745724097,
        1004.3359375,
        21.3
    ],
    [
        1745743059,
        1047.828125,
        23.6
    ],
    [
        1745743059,
        1047.828125,
        23.7
    ],
    [
        1745743060,
        1047.828125,
        22.6
    ],
    [
        1745743060,
        1047.828125,
        24.4
    ],
    [
        1745767074,
        1060.46484375,
        24.9
    ],
    [
        1745767074,
        1060.46484375,
        26.7
    ],
    [
        1745767074,
        1060.46484375,
        25.2
    ],
    [
        1745767074,
        1060.46484375,
        27.1
    ],
    [
        1745790840,
        1036.77734375,
        25
    ],
    [
        1745790840,
        1036.77734375,
        26.9
    ],
    [
        1745790840,
        1036.77734375,
        25.1
    ],
    [
        1745790840,
        1036.77734375,
        30.2
    ],
    [
        1745814636,
        1058.19140625,
        24.6
    ],
    [
        1745814636,
        1058.19140625,
        24.5
    ],
    [
        1745814636,
        1058.19140625,
        23.1
    ],
    [
        1745814636,
        1058.19140625,
        17.1
    ],
    [
        1745843350,
        1080.5234375,
        23.9
    ],
    [
        1745843350,
        1080.5234375,
        24.2
    ],
    [
        1745843350,
        1080.5234375,
        23.6
    ],
    [
        1745843350,
        1080.5234375,
        23.5
    ]
];
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 = [], reload = false) {
	try {
		if ($("#parallel-plot").data("loaded") === "true" && !reload) {
			return;
		}

		// Filter rows ohne leere Werte (wie in deinem Originalcode)
		dataArray = filterNonEmptyRows(dataArray);

		const ignoreSet = new Set(ignoreColumns);
		const numericalCols = [];
		const categoricalCols = [];
		const categoryMappings = {};
		const enable_slurm_id_if_exists = $("#enable_slurm_id_if_exists").is(":checked");

		// Spalten einteilen in numerisch oder kategorisch + category mappings aufbauen
		headers.forEach((header, colIndex) => {
			if (ignoreSet.has(header)) return;
			if (!enable_slurm_id_if_exists && header === "OO_Info_SLURM_JOB_ID") 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]));
			}
		});

		// Erzeuge UI für Checkboxen und Min/Max Inputs für numerische Spalten
		const controlContainerId = "parallel-plot-controls";
		let controlContainer = $("#" + controlContainerId);
		if (controlContainer.length === 0) {
			controlContainer = $('<div id="' + controlContainerId + '" style="margin-bottom:10px; display: flex;"></div>');
			$("#parallel-plot").before(controlContainer);
		} else {
			controlContainer.empty();
		}

		// Map um Checkbox-Zustände und Min/Max-Werte zu speichern
		const columnVisibility = {};
		const minMaxLimits = {};

		// Checkboxen + Min/Max Felder generieren mit Boxen, max-Breite, Umbruch und Zeilenumbruch nach jeder Box
		headers.forEach((header) => {
			try {
				if (ignoreSet.has(header)) return;
				if (!enable_slurm_id_if_exists && header === "OO_Info_SLURM_JOB_ID") return;

				const isNumerical = numericalCols.some(col => col.name === header);

				const checkboxId = `chk_${header}`;
				const minInputId = `min_${header}`;
				const maxInputId = `max_${header}`;

				columnVisibility[header] = true;
				minMaxLimits[header] = { min: null, max: null };

				// Wrapper Box mit max-Breite, Umbruch, Block-Level-Element für newline nach jeder Box
				const boxWrapper = $('<div></div>').css({
					border: "1px solid #ddd",
					borderRadius: "8px",
					padding: "12px 16px",
					marginBottom: "12px",
					boxShadow: "0 2px 6px rgba(0,0,0,0.1)",
					backgroundColor: "#fff",
					display: "flex",
					flexWrap: "wrap",
					alignItems: "center",
					gap: "15px",
					maxWidth: "350px",
					width: "100%", // damit bei kleinen Screens die Box maximal voll breit ist
					boxSizing: "border-box"
				});

				// Innerer Container mit Flexbox für Ausrichtung der Elemente, flex-grow damit Inputs genug Platz bekommen
				const container = $('<div></div>').css({
					display: "flex",
					alignItems: "center",
					gap: "10px",
					flexWrap: "wrap",
					flexGrow: 1,
					minWidth: "0" // wichtig für flexbox Overflow Handling
				});

				// Checkbox mit Label
				const checkbox = $(`<input type="checkbox" id="${checkboxId}" checked />`);
				const label = $(`<label for="${checkboxId}" style="font-weight: 600; min-width: 140px; cursor: pointer; white-space: nowrap;">${header}</label>`);

				container.append(checkbox).append(label);

				if (isNumerical) {
					// Werte ermitteln (nur gültige Zahlen)
					const numericValues = dataArray
						.map(row => parseFloat(row[headers.indexOf(header)]))
						.filter(val => !isNaN(val));

					const minVal = numericValues.length > 0 ? Math.min(...numericValues) : 0;
					const maxVal = numericValues.length > 0 ? Math.max(...numericValues) : 100;

					// Min Input mit Label
					const minWrapper = $('<div></div>').css({
						display: "flex",
						flexDirection: "column",
						alignItems: "flex-start",
						minWidth: "90px"
					});
					const minLabel = $('<label></label>').attr("for", minInputId).text("Min").css({
						fontSize: "0.75rem",
						color: "#555",
						marginBottom: "2px"
					});
					const minInput = $(`<input type="number" id="${minInputId}" placeholder="min" />`).css({
						width: "80px",
						padding: "5px 8px",
						borderRadius: "5px",
						border: "1px solid #ccc",
						boxShadow: "inset 0 1px 3px rgba(0,0,0,0.1)",
						transition: "border-color 0.3s ease"
					});
					minInput.attr("min", minVal);
					minInput.attr("max", maxVal);

					minInput.on("focus", function () {
						$(this).css("border-color", "#007BFF");
					});
					minInput.on("blur", function () {
						$(this).css("border-color", "#ccc");
					});

					minWrapper.append(minLabel).append(minInput);

					// Max Input mit Label
					const maxWrapper = $('<div></div>').css({
						display: "flex",
						flexDirection: "column",
						alignItems: "flex-start",
						minWidth: "90px"
					});
					const maxLabel = $('<label></label>').attr("for", maxInputId).text("Max").css({
						fontSize: "0.75rem",
						color: "#555",
						marginBottom: "2px"
					});
					const maxInput = $(`<input type="number" id="${maxInputId}" placeholder="max" />`).css({
						width: "80px",
						padding: "5px 8px",
						borderRadius: "5px",
						border: "1px solid #ccc",
						boxShadow: "inset 0 1px 3px rgba(0,0,0,0.1)",
						transition: "border-color 0.3s ease"
					});
					maxInput.attr("min", minVal);
					maxInput.attr("max", maxVal);

					maxInput.on("focus", function () {
						$(this).css("border-color", "#007BFF");
					});
					maxInput.on("blur", function () {
						$(this).css("border-color", "#ccc");
					});

					maxWrapper.append(maxLabel).append(maxInput);

					// Events für min/max Eingaben
					minInput.on("input", function () {
						const val = parseFloat($(this).val());
						minMaxLimits[header].min = isNaN(val) ? null : val;
						updatePlot();
					});

					maxInput.on("input", function () {
						const val = parseFloat($(this).val());
						minMaxLimits[header].max = isNaN(val) ? null : val;
						updatePlot();
					});

					container.append(minWrapper).append(maxWrapper);
				}

				// Checkbox Change Event
				checkbox.on("change", function () {
					columnVisibility[header] = $(this).is(":checked");
					updatePlot();
				});

				boxWrapper.append(container);

				// Jede Box bekommt ihren eigenen Block (also newline)
				controlContainer.append(boxWrapper);
			} catch (error) {
				console.error(`Fehler bei Header '${header}':`, error);
			}
		});



		// Erzeuge Ergebnis-Auswahl für Farbskala (color by result)
		const resultSelectId = "result-select";
		let resultSelect = $(`#${resultSelectId}`);
		if (resultSelect.length === 0) {
			resultSelect = $(`<select id="${resultSelectId}"></select>`);
			controlContainer.before(resultSelect);
		} else {
			resultSelect.empty();
		}

		resultSelect.append('<option value="none">No color</option>');

		for (let i = 0; i < resultNames.length; i++) {
			let minMaxInfo = "min [auto]";
			if (typeof result_min_max !== "undefined" && result_min_max[i] !== undefined) {
				minMaxInfo = result_min_max[i];
			}
			resultSelect.append(`<option value="${resultNames[i]}">${resultNames[i]} (${minMaxInfo})</option>`);
		}

		let colorValues = null;
		let colorScale = null;

		resultSelect.off("change").on("change", function () {
			const selectedResult = $(this).val();
			if (selectedResult === "none") {
				colorValues = null;
				colorScale = null;
			} else {
				const col = numericalCols.find(c => c.name.toLowerCase() === selectedResult.toLowerCase());
				if (!col) {
					colorValues = null;
					colorScale = null;
					updatePlot();
					return;
				}
				colorValues = dataArray.map(row => parseFloat(row[col.index]));

				let invertColor = false;
				if (typeof result_min_max !== "undefined") {
					const idx = resultNames.indexOf(selectedResult);
					if (idx !== -1) {
						invertColor = result_min_max[idx] === "max";
					}
				}

				colorScale = invertColor
					? [[0, 'red'], [1, 'green']]
					: [[0, 'green'], [1, 'red']];
			}
			updatePlot();
		});

		// Initial Auswahl: kein Farbwert, oder erstes Ergebnis falls nur eins
		if (resultNames.length === 1) {
			resultSelect.val(resultNames[0]).trigger("change");
		} else {
			resultSelect.val("none").trigger("change");
		}

		function updatePlot() {
			try {
				// Filter Spalten nach Checkboxen
				const filteredNumericalCols = numericalCols.filter(col => columnVisibility[col.name]);
				const filteredCategoricalCols = categoricalCols.filter(col => columnVisibility[col.name]);

				// Filtere die Datenzeilen, um nur die zu behalten, die innerhalb aller gesetzten Min/Max Limits liegen
				const filteredData = dataArray.filter(row => {
					for (let col of filteredNumericalCols) {
						const val = parseFloat(row[col.index]);
						if (isNaN(val)) return false; // ungültiger Wert raus

						const limits = minMaxLimits[col.name];
						if (limits.min !== null && val < limits.min) return false;
						if (limits.max !== null && val > limits.max) return false;
					}
					// Kategorische Werte ignorieren Filter (könntest hier evtl. erweitern)
					return true;
				});

				const dimensions = [];

				// Füge numerische Dimensionen hinzu mit Min/Max Limits (Range anhand gefilterter Daten)
				filteredNumericalCols.forEach(col => {
					let vals = filteredData.map(row => parseFloat(row[col.index]));

					// Fallback falls alle Werte NaN (sollte eigentlich nicht vorkommen)
					const realMin = vals.length > 0 ? Math.min(...vals) : 0;
					const realMax = vals.length > 0 ? Math.max(...vals) : 100;

					dimensions.push({
						label: col.name,
						values: vals,
						range: [realMin, realMax]
					});
				});

				// Kategorische Dimensionen (aus gefilterten Daten)
				filteredCategoricalCols.forEach(col => {
					const vals = filteredData.map(row => categoryMappings[col.name][row[col.index]]);
					dimensions.push({
						label: col.name,
						values: vals,
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});

				// Linienfarbe bestimmen, falls Farbskala gesetzt ist
				let filteredColorValues = null;
				if (colorValues) {
					// Da colorValues für alle Daten sind, filtere sie auch entsprechend
					filteredColorValues = filteredData.map(row => {
						const col = numericalCols.find(c => c.name.toLowerCase() === resultSelect.val().toLowerCase());
						return col ? parseFloat(row[col.index]) : null;
					});
				}

				const trace = {
					type: 'parcoords',
					dimensions: dimensions,
					line: filteredColorValues ? { color: filteredColorValues, 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();
			} catch (error) {
				console.error("Fehler in updatePlot():", error);
			}
		}


		updatePlot();

		$("#parallel-plot").data("loaded", "true");

		make_text_in_parallel_plot_nicer();

	} catch (err) {
		console.error("Error in createParallelPlot:", err);
	}
}

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) &&
			!col.startsWith("OO_Info") &&
			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) &&
			!col.startsWith("OO_Info") &&
			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) &&
		!col.startsWith("OO_Info") &&
		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;
		}
		if (!col.startsWith("OO_Info")) {
			return true;
		}
		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) &&
		!col.startsWith("OO_Info") &&
		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) &&
		!col.startsWith("OO_Info") &&
		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_results_csv_json.map(row => row[tab_results_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("CANDIDATE") ? "lightblue" :
			el.textContent.includes("ABANDONED") ? "yellow" : "";
		if (color) el.style.backgroundColor = color;
		el.classList.add("invert_in_dark_mode");
	});
}

function _colorize_table_entries_by_queue_time() {
	let cells = [...document.querySelectorAll('[data-column-id="queue_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_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_queue_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();
	if (typeof apply_theme_based_on_system_preferences === 'function') {
		apply_theme_based_on_system_preferences();
	}
}

function plotTimelineFromGlobals() {
	if (
		typeof tab_results_headers_json === "undefined" ||
		typeof tab_results_csv_json === "undefined" ||
		!Array.isArray(tab_results_headers_json) ||
		!Array.isArray(tab_results_csv_json)
	) {
		console.warn("Global variables 'tab_results_headers_json' or 'tab_results_csv_json' missing or invalid.");
		return null;
	}

	const headers = tab_results_headers_json;
	const data = tab_results_csv_json;

	const col = name => headers.indexOf(name);
	const ix_trial_index = col("trial_index");
	const ix_start_time = col("start_time");
	const ix_end_time = col("end_time");
	const ix_status = col("trial_status");

	if ([ix_trial_index, ix_start_time, ix_end_time, ix_status].some(ix => ix === -1)) {
		console.warn("One or more needed columns missing");
		return null;
	}

	const traces = [];

	// Add dummy traces for legend
	traces.push({
		type: "scatter",
		mode: "lines",
		x: [null, null],
		y: [null, null],
		line: { color: "green", width: 4 },
		name: "COMPLETED",
		showlegend: true,
		hoverinfo: "none"
	});
	traces.push({
		type: "scatter",
		mode: "lines",
		x: [null, null],
		y: [null, null],
		line: { color: "yellow", width: 4 },
		name: "RUNNING",
		showlegend: true,
		hoverinfo: "none"
	});
	traces.push({
		type: "scatter",
		mode: "lines",
		x: [null, null],
		y: [null, null],
		line: { color: "red", width: 4 },
		name: "FAILED/OTHER",
		showlegend: true,
		hoverinfo: "none"
	});

	for (const row of data) {
		const trial_index = row[ix_trial_index];
		const start = row[ix_start_time];
		const end = row[ix_end_time];
		const status = row[ix_status];

		if (
			trial_index === "" || start === "" || end === "" ||
			isNaN(start) || isNaN(end)
		) continue;

		let color = "red"; // default
		if (status === "COMPLETED") color = "green";
		else if (status === "RUNNING") color = "yellow";

		traces.push({
			type: "scatter",
			mode: "lines",
			x: [new Date(start * 1000), new Date(end * 1000)],
			y: [trial_index, trial_index],
			line: { color: color, width: 4 },
			name: `Trial ${trial_index} (${status})`,
			showlegend: false,
			hoverinfo: "x+y+name"
		});
	}

	if (traces.length <= 3) { // only dummy traces added
		console.warn("No valid data for plotting found.");
		return null;
	}

	const layout = {
		title: "Trial Timeline",
		xaxis: {
			title: "Time",
			type: "date"
		},
		yaxis: {
			title: "Trial Index",
			autorange: "reversed"
		},
		margin: { t: 50 }
	};

	Plotly.newPlot('plot_timeline', traces, add_default_layout_data(layout));
	return true;
}

function createResultParameterCanvases(this_res_name) {
	if (
		typeof special_col_names === "undefined" ||
		typeof result_names === "undefined" ||
		typeof result_min_max === "undefined" ||
		typeof tab_results_headers_json === "undefined" ||
		typeof tab_results_csv_json === "undefined"
	) {
		console.error("Missing one or more required global variables.");
		return null;
	}

	if (
		!Array.isArray(special_col_names) ||
		!Array.isArray(result_names) ||
		!Array.isArray(result_min_max) ||
		!Array.isArray(tab_results_headers_json) ||
		!Array.isArray(tab_results_csv_json)
	) {
		console.error("All inputs must be arrays.");
		return null;
	}

	function getColumnIndexMap(headers) {
		var map = {};
		for (var i = 0; i < headers.length; i++) {
			map[headers[i]] = i;
		}
		return map;
	}

	function getColumnData(data, index) {
		var result = [];
		for (var i = 0; i < data.length; i++) {
			result.push(data[i][index]);
		}
		return result;
	}

	function normalize(value, min, max) {
		if (max === min) {
			return 0.5;
		}
		return (value - min) / (max - min);
	}

	function interpolateColor(ratio, reverse) {
		var r = reverse ? ratio : 1 - ratio;
		var g = reverse ? 1 - ratio : ratio;
		var b = 0;
		r = Math.floor(r * 255);
		g = Math.floor(g * 255);
		return "rgb(" + r + "," + g + "," + b + ")";
	}

	function createCanvas(width, height) {
		var canvas = document.createElement("canvas");
		canvas.width = width;
		canvas.height = height;
		return canvas;
	}

	function isNumericArray(arr) {
		for (var i = 0; i < arr.length; i++) {
			var val = arr[i];
			if (typeof val !== "number" || isNaN(val)) {
				return false;
			}
		}
		return true;
	}

	function findBestRowIndex() {
		var bestIndex = 0;

		for (var i = 1; i < tab_results_csv_json.length; i++) {
			var better = false;

			for (var r = 0; r < result_names.length; r++) {
				var col = result_names[r];
				var colIdx = header_map[col];
				var goal = result_min_max[r]; // "min" or "max"

				var valCurrent = tab_results_csv_json[i][colIdx];
				var valBest = tab_results_csv_json[bestIndex][colIdx];

				if (goal === "min" && valCurrent < valBest) {
					better = true;
					break;
				}

				if (goal === "max" && valCurrent > valBest) {
					better = true;
					break;
				}
			}

			if (better) {
				bestIndex = i;
			}
		}

		return bestIndex;
	}

	var canvas_width = 1000;
	var canvas_height = 100;

	var header_map = getColumnIndexMap(tab_results_headers_json);

	var parameter_columns = tab_results_headers_json.filter(function (name) {
		return (
			!special_col_names.includes(name) &&
			!result_names.includes(name) &&
			!name.startsWith("OO_Info_")
		);
	});

	var container = document.createElement("div");

	for (var r = 0; r < result_names.length; r++) {
		var result_name = result_names[r];
		if (this_res_name == result_name) {
			var result_index = header_map[result_name];
			var result_goal = result_min_max[r]; // "min" or "max"

			var result_values = getColumnData(tab_results_csv_json, result_index);
			var result_min = Math.min.apply(null, result_values);
			var result_max = Math.max.apply(null, result_values);

			var heading = document.createElement("h2");
			heading.textContent = "Interpretation for result: " + result_name + " (goal: " + result_goal + ")";
			heading.style.fontFamily = "sans-serif";
			heading.style.marginTop = "24px";
			heading.style.marginBottom = "12px";
			container.appendChild(heading);

			var table = document.createElement("table");
			table.style.borderCollapse = "collapse";
			table.style.marginBottom = "32px";

			var thead = document.createElement("thead");
			var headRow = document.createElement("tr");

			var th1 = document.createElement("th");
			th1.textContent = "Parameter";
			th1.style.textAlign = "left";
			th1.style.padding = "6px 12px";
			var th2 = document.createElement("th");
			th2.textContent = "Distribution of result";
			th2.style.textAlign = "left";
			th2.style.padding = "6px 12px";

			headRow.appendChild(th1);
			headRow.appendChild(th2);
			thead.appendChild(headRow);
			table.appendChild(thead);

			var tbody = document.createElement("tbody");

			for (var p = 0; p < parameter_columns.length; p++) {
				var param_name = parameter_columns[p];
				var param_index = header_map[param_name];
				var param_values = getColumnData(tab_results_csv_json, param_index);

				if (!isNumericArray(param_values)) {
					continue;
				}

				var param_min = Math.min.apply(null, param_values);
				var param_max = Math.max.apply(null, param_values);

				var canvas = createCanvas(canvas_width, canvas_height);

				canvas.classList.add("invert_in_dark_mode");

				var ctx = canvas.getContext("2d");

				ctx.fillStyle = "white";
				ctx.fillRect(0, 0, canvas.width, canvas.height);

				var x_groups = {};

				for (var i = 0; i < tab_results_csv_json.length; i++) {
					var raw_param = tab_results_csv_json[i][param_index];
					var raw_result = tab_results_csv_json[i][result_index];

					var x_ratio = normalize(raw_param, param_min, param_max);
					var x = Math.floor(x_ratio * (canvas_width - 1));

					if (!x_groups[x]) {
						x_groups[x] = [];
					}

					x_groups[x].push(raw_result);
				}

				for (var x in x_groups) {
					var values = x_groups[x];
					values.sort(function (a, b) {
						return a - b;
					});

					var stripe_height = canvas_height / values.length;
					for (var i = 0; i < values.length; i++) {
						var y_start = i * stripe_height;
						var y_end = (i + 1) * stripe_height;

						var value = values[i];
						var result_ratio = normalize(value, result_min, result_max);
						var color = interpolateColor(result_ratio, result_goal === "min");

						ctx.beginPath();
						ctx.strokeStyle = color;
						ctx.lineWidth = 1;
						ctx.moveTo(Number(x) + 0.5, y_start);
						ctx.lineTo(Number(x) + 0.5, y_end);
						ctx.stroke();
					}
				}

				var row = document.createElement("tr");

				var cell_param = document.createElement("td");
				cell_param.textContent = param_name;
				cell_param.style.padding = "4px 12px";
				cell_param.style.verticalAlign = "top";
				cell_param.style.fontFamily = "monospace";
				cell_param.style.whiteSpace = "nowrap";

				var cell_canvas = document.createElement("td");
				cell_canvas.appendChild(canvas);
				cell_canvas.style.padding = "4px 12px";

				row.appendChild(cell_param);
				row.appendChild(cell_canvas);
				tbody.appendChild(row);
			}

			table.appendChild(tbody);
			container.appendChild(table);
		}
	}

	// === Summary: Best result ===
	var bestIndex = findBestRowIndex();
	var bestRow = tab_results_csv_json[bestIndex];

	var ul = document.createElement("ul");
	ul.style.margin = "0";
	ul.style.paddingLeft = "24px";

	// Alle Result-Spalten
	for (var i = 0; i < result_names.length; i++) {
		var name = result_names[i];
		var val = bestRow[header_map[name]];
		var li = document.createElement("li");
		li.textContent = name + " = " + val;
		ul.appendChild(li);
	}

	// Alle Parameter-Spalten (außer special_col_names)
	for (var i = 0; i < tab_results_headers_json.length; i++) {
		var name = tab_results_headers_json[i];
		if (special_col_names.includes(name) || name.startsWith("OO_Info_") || result_names.includes(name)) {
			continue;
		}

		var val = bestRow[header_map[name]];
		var li = document.createElement("li");
		li.textContent = name + " = " + val;
		ul.appendChild(li);
	}

	return container;
}

function initializeResultParameterVisualizations() {
        try {
                var elements = $('.result_parameter_visualization');

                if (!elements || elements.length === 0) {
                        console.warn('No .result_parameter_visualization elements found.');
                        return;
                }

                elements.each(function () {
                        var element = $(this);

                        if (element.data('initialized')) {
                                return; // Already initialized, skip
                        }

                        var resname = element.attr('data-resname');

                        if (!resname) {
                                console.error('Missing data-resname attribute for element:', this);
                                return;
                        }

                        try {
                                var html = createResultParameterCanvases(resname);

                                element.html(html);
                                element.data('initialized', true);

                        } catch (err) {
                                console.error('Error while calling createResultParameterCanvases for resname:', resname, err);
                        }
                });
        } catch (outerErr) {
                console.error('Failed to initialize result parameter visualizations:', outerErr);
        }
}

function plotParameterDistributionsByStatus() {
	const container = document.getElementById('parameter_by_status_distribution');
	if (!container) {
		console.error("Kein Container mit id 'parameter_by_status_distribution' gefunden.");
		return null;
	}

	if ($(container).data("loaded") === "true") {
		return;
	}

	if (
		typeof special_col_names === "undefined" ||
		typeof result_names === "undefined" ||
		typeof result_min_max === "undefined" ||
		typeof tab_results_headers_json === "undefined" ||
		typeof tab_results_csv_json === "undefined"
	) {
		console.error("Missing one or more required global variables.");
		return null;
	}

	if (
		!Array.isArray(special_col_names) ||
		!Array.isArray(result_names) ||
		!Array.isArray(result_min_max) ||
		!Array.isArray(tab_results_headers_json) ||
		!Array.isArray(tab_results_csv_json)
	) {
		console.error("All inputs must be arrays.");
		return null;
	}

	container.innerHTML = "";

	const statusIndex = tab_results_headers_json.indexOf("trial_status");
	if (statusIndex < 0) {
		container.textContent = "Kein 'trial_status' in den Daten gefunden.";
		return null;
	}

	const trialStatuses = [...new Set(tab_results_csv_json.map(row => row[statusIndex]))].filter(s => s != null);
	const paramCols = tab_results_headers_json.filter(col =>
		!special_col_names.includes(col) &&
		!result_names.includes(col)
	);

	for (const param of paramCols) {
		const paramIndex = tab_results_headers_json.indexOf(param);
		if (paramIndex < 0) continue;

		const traces = [];

		trialStatuses.forEach((status) => {
			const filteredValues = tab_results_csv_json
				.filter(row => row[statusIndex] === status)
				.map(row => row[paramIndex])
				.filter(val => val !== "" && val != null && !isNaN(val))
				.map(Number);

			if (filteredValues.length > 1) {
				// Histogramm-Bins automatisch mit Plotly bestimmen lassen oder eigene
				// Hier: bins in 20 Stück
				const nbins = 20;
				traces.push({
					type: 'histogram',
					x: filteredValues,
					name: status,
					opacity: 0.6,
					xbingroup: 0,
					marker: {color: getColorForStatus(status)},
					nbinsx: nbins,
					// für Overlay-Stil:
					// histfunc: 'count', // default
					// autobinx: false,
					// xbins: {start: Math.min(...filteredValues), end: Math.max(...filteredValues), size: (Math.max(...filteredValues) - Math.min(...filteredValues)) / nbins}
				});
			}
		});

		if (traces.length > 0) {
			const h2 = document.createElement('h2');
			if(!param.startsWith("OO_Info_")) {
				h2.textContent = `Histogram: ${param}`;
				container.appendChild(h2);

				const plotDiv = document.createElement('div');
				plotDiv.style.marginBottom = '30px';
				container.appendChild(plotDiv);

				Plotly.newPlot(plotDiv, traces, {
					barmode: 'overlay',  // 'stack' oder 'overlay'
					xaxis: {
						title: { text: String(param) },  // Sicherstellen, dass es ein Textobjekt ist
						automargin: true,
						tickangle: -45,                  // Optional: bessere Lesbarkeit
						titlefont: { size: 16 }          // Optional: größerer Titel
					},
					yaxis: {
						title: { text: 'Count' },        // Titel explizit als Objekt angeben
						automargin: true,
						titlefont: { size: 16 }          // Optional: größerer Titel
					},
					margin: {
						l: 60,
						r: 30,
						t: 30,
						b: 80                            // genug Platz für x-Achsentitel
					},
					legend: {
						orientation: "h"
					}
				}, {
					responsive: true
				});

			}
		}
	}

	$(container).data("loaded", "true");

	// Color mapping (falls nicht global)
	function getColorForStatus(status) {
		const baseAlpha = 0.5;
		switch(status.toUpperCase()) {
			case 'FAILED':      return `rgba(214, 39, 40, ${baseAlpha})`;
			case 'COMPLETED':   return `rgba(44, 160, 44, ${baseAlpha})`;
			case 'ABANDONED':   return `rgba(255, 215, 0, ${baseAlpha})`;
			case 'RUNNING':     return `rgba(50, 50, 44, ${baseAlpha})`;
			default:
				const otherColors = [
					`rgba(31, 119, 180, ${baseAlpha})`,
					`rgba(255, 127, 14, ${baseAlpha})`,
					`rgba(148, 103, 189, ${baseAlpha})`,
					`rgba(140, 86, 75, ${baseAlpha})`,
					`rgba(227, 119, 194, ${baseAlpha})`,
					`rgba(127, 127, 127, ${baseAlpha})`,
					`rgba(188, 189, 34, ${baseAlpha})`,
					`rgba(23, 190, 207, ${baseAlpha})`
				];
				let hash = 0;
				for (let i = 0; i < status.length; i++) {
					hash = status.charCodeAt(i) + ((hash << 5) - hash);
				}
				const index = Math.abs(hash) % otherColors.length;
				return otherColors[index];
		}
	}

	resizePlotlyCharts();
}

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);

	if (typeof apply_theme_based_on_system_preferences === 'function') {
		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();;
plotParameterDistributionsByStatus();;
initializeResultParameterVisualizations();
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><img class='invert_icon' src='i/overview.svg' style='height: 1em' />&nbsp;Overview</h1>
<h2>Experiment overview:               </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value </th></tr></thead><tbody><tr><td> Max. nr. evaluations</td><td>50480 </td></tr><tr><td> Max. nr. evaluations (from arguments)</td><td>50000 </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>16    </td></tr><tr><td> Nr. imported jobs</td><td>480   </td></tr></tbody></table><h2>Job Summary per Generation Node</h2>
<table border='1' cellpadding='5' cellspacing='0'>
<thead><tr><th>Generation Node</th><th>Total</th><th>COMPLETED</th><th>FAILED</th><th>RUNNING</th></tr></thead>
<tbody>
<tr><td>GenerationStep_0</td><td>30</td><td>30</td><td>0</td><td>0</td></tr>
<tr><td>GenerationStep_1</td><td>538</td><td>405</td><td>68</td><td>65</td></tr>
<tr><td>SOBOL</td><td>40</td><td>22</td><td>10</td><td>8</td></tr>
<tr><td>BOTORCH_MODULAR</td><td>228</td><td>158</td><td>30</td><td>40</td></tr>
</tbody></table>
<h2>Experiment parameters:                             </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>int</td><td>1</td><td>5000</td><td>int</td><td>No         </td></tr><tr><td> n_samples</td><td>int</td><td>1</td><td>5000</td><td>int</td><td>No         </td></tr><tr><td> const</td><td>float</td><td>0.001</td><td>10</td><td>float</td><td>No         </td></tr><tr><td> max_depth</td><td>int</td><td>1</td><td>20</td><td>int</td><td>No         </td></tr><tr><td> threshold</td><td>float</td><td>0.001</td><td>0.999</td><td>float</td><td>No         </td></tr></tbody></table><h2>Number of evaluations</h2>
<table>
<tbody>
<tr>
<th>Failed</th>
<th>Succeeded</th>
<th>Running</th>
<th>Total</th>
</tr>
<tr>
<td>108</td>
<td>615</td>
<td>113</td>
<td>836</td>
</tr>
</tbody>
</table>
<h2>Result names and types</h2>
<table>
<tr><th>name</th><th>min/max</th></tr>
<tr>
<td>ACCURACY</td>
<td>max</td>
</tr>
<tr>
<td>RUNTIME</td>
<td>min</td>
</tr>
</table>
<br>
<h2>Git-Version</h2>
<tt>Commit: 2223ae6553abdd3e288f4b391080b763a7a48477
</tt>
<h1><img class='invert_icon' src='i/csv.svg' style='height: 1em' />&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")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'><img src='i/download.svg' style='height: 1em'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,n_samples,const,max_depth,threshold
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,793,2113,2906,4.225822593629360746092515910277,9,0.747969201803207361933800711995
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.160000000000000003330669073875,2509,2599,794,6.440488293658011009767960786121,13,0.327630155932158217968463986836
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.119999999999999995559107901499,363,4730,3830,1.033455814829096208740111251245,5,0.078973830427974470169694143351
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.080000000000000001665334536938,5571,528,2344,8.226861989391036189545047818683,20,0.969087969047948694090166554815
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,1488,716,4519,6.146745422331616914846108556958,18,0.768232575219124580456764306291
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.179999999999999993338661852249,372,4015,1784,3.347273722742684309849892088096,2,0.159336582003161308929151118718
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.110000000000000000555111512313,367,3646,3593,9.184138450052589774941225186922,11,0.43502390731684864588757477577
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.400000000000000022204460492503,1334,1632,233,1.40348500207345927570656840544,6,0.511796536263078416517657842633
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,426,1400,4228,9.760627294908276851970185816754,1,0.273702929861843580194857850074
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,4605,3409,1962,1.921514670837670468728219930199,16,0.662275817217305329265286673035
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,824,4252,2673,5.610101892483421615054339781636,8,0.930419690357521145251951111277
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.179999999999999993338661852249,1986,948,1032,2.791229610553011220019925531233,12,0.009696729771792887697667850944
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,714,297,3352,0.339911000703461474437006017979,14,0.245242955120280381464681340731
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.340000000000000024424906541753,1457,4493,460,7.513954736081884355769489047816,10,0.823408300198614551135278816218
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,732,2836,4908,4.957954110297374761273658805294,19,0.582809886656701525708967892569
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.080000000000000001665334536938,565,2345,1390,7.114198665644973829103037132882,3,0.474392905848100787657983801182
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,583,2336,4820,2.422482325822115090119268643321,11,0.942758401975035686959358827153
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.149999999999999994448884876874,715,3100,1459,9.572128911412320917406759690493,6,0.116998947942629452634299980218
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,4042,4563,3245,2.958987651908770111219837417593,17,0.352010504255071299262169759459
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,927,14,509,5.12987457963917492520522500854,3,0.711893322557210939116600911802
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.110000000000000000555111512313,508,1233,2605,7.990520529257134185741051624063,5,0.54202477877773347358925093431
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.239999999999999991118215802999,6699,4184,1120,0.175814628013409690598933821093,19,0.400897465243935602341451840402
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.089999999999999996669330926125,743,3147,4179,7.296594218365848760754488466773,9,0.131057558238506316472538060225
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,4287,1411,2069,4.463089137091301950022170785815,14,0.800409798542037642654634055361
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.119999999999999995559107901499,1645,1799,3642,6.564449124372565336216212017462,19,0.047691145366057757781774739669
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.460000000000000019984014443253,2858,3540,126,3.789393646150827521523751784116,4,0.904120349321514416018885640369
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.110000000000000000555111512313,353,3791,4587,8.684050462336278641828357649501,15,0.626230620373040447468326874514
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.119999999999999995559107901499,948,845,1696,0.888735570395365437335044589418,9,0.298053052147850383590821365942
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,516,403,3938,3.495655635842122244127949670656,7,0.440296689812093966498451891312
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.160000000000000003330669073875,985,4956,2296,5.68589542971737760268524652929,13,0.613007427250966463461168132199
30,30_0,FAILED,BoTorch,GenerationStep_1,,,1573,1,0.001000000000000000020816681712,1,0.21016158168823859120344366147
31,31_0,FAILED,BoTorch,GenerationStep_1,,,3746,1,10,1,0.227933966079551852956797119987
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,1040,3969,788,2.266868939695585893900897644926,8,0.350240878714259074033776641954
33,33_0,FAILED,BoTorch,GenerationStep_1,,,3786,1,10,9,0.440209381862885495984016870352
34,34_0,FAILED,BoTorch,GenerationStep_1,,,1410,1045,0.001000000000000000020816681712,1,0.140709642990284961028280008577
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,1098,5000,1869,4.314792493559028940808275365271,8,0.448499937505119850023049821175
36,36_0,FAILED,BoTorch,GenerationStep_1,,,1519,1,10,1,0.061752039751779341791859678779
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,390,1,5000,10,17,0.089629243470046748853974349913
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,630,5000,4828,10,13,0.97542869229272810560615880604
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.25,479,1408,756,10,1,0.001000000000000000020816681712
40,40_0,FAILED,BoTorch,GenerationStep_1,,,3760,1,0.001000000000000000020816681712,8,0.282850253534898898877258943685
41,41_0,FAILED,BoTorch,GenerationStep_1,,,3965,1,10,9,0.001000000000000000020816681712
42,42_0,FAILED,BoTorch,GenerationStep_1,,,3698,1,10,9,0.76723807229013274433526703433
43,43_0,FAILED,BoTorch,GenerationStep_1,,,3787,1,10,1,0.001000000000000000020816681712
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,457,5000,3392,10,1,0.342416595489708930344363579934
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,449,5000,5000,0.001000000000000000020816681712,12,0.809133527074901048870003705815
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,1277,4567,1061,10,9,0.454012775383014155483607510178
47,47_0,FAILED,BoTorch,GenerationStep_1,,,3803,1,10,11,0.9989999999999999991118215803
48,48_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,0.001000000000000000020816681712,9,0.001000000000000000020816681712
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,559,1363,1418,0.001000000000000000020816681712,1,0.37690298979992270522743069705
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,739,1474,456,0.001000000000000000020816681712,1,0.367324481013719505995140934829
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,3497,1474,120,10,6,0.311110007229553897634133363681
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,532,5000,1124,0.001000000000000000020816681712,8,0.372092625194974213620469072339
53,53_0,FAILED,BoTorch,GenerationStep_1,,,3689,1,0.296227164145080712476243434139,1,0.51786858537007296465759509374
54,54_0,FAILED,BoTorch,GenerationStep_1,,,3758,1,0.001000000000000000020816681712,3,0.001000000000000000020816681712
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,427,1377,5000,0.001000000000000000020816681712,16,0.001000000000000000020816681712
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,2097,1438,139,0.001000000000000000020816681712,1,0.001000000000000000020816681712
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,1204,3969,531,10,8,0.42188721491486108616797423565
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,361,4484,3670,10,1,0.001000000000000000020816681712
59,59_0,FAILED,BoTorch,GenerationStep_1,,,1527,1,10,1,0.492309893538987297656461805673
60,60_0,FAILED,BoTorch,GenerationStep_1,,,1498,1,0.001000000000000000020816681712,10,0.001000000000000000020816681712
61,61_0,FAILED,BoTorch,GenerationStep_1,,,1487,1,10,1,0.9989999999999999991118215803
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,472,3898,771,10,1,0.9989999999999999991118215803
63,63_0,FAILED,BoTorch,GenerationStep_1,,,3499,1,0.001000000000000000020816681712,10,0.9989999999999999991118215803
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,624,3718,429,0.001000000000000000020816681712,1,0.9989999999999999991118215803
65,65_0,FAILED,BoTorch,GenerationStep_1,,,1519,1,10,1,0.001000000000000000020816681712
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,424,4074,1240,0.001000000000000000020816681712,1,0.9989999999999999991118215803
67,67_0,FAILED,BoTorch,GenerationStep_1,,,3676,1,0.001000000000000000020816681712,10,0.001000000000000000020816681712
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,424,3885,1371,0.001000000000000000020816681712,1,0.001000000000000000020816681712
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,660,1350,364,10,1,0.001000000000000000020816681712
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,498,3869,716,0.001000000000000000020816681712,1,0.9989999999999999991118215803
71,71_0,FAILED,BoTorch,GenerationStep_1,,,3263,1,0.001000000000000000020816681712,1,0.9989999999999999991118215803
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,395,3934,1493,10,1,0.9989999999999999991118215803
73,73_0,FAILED,BoTorch,GenerationStep_1,,,1619,1,10,11,0.001000000000000000020816681712
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.25,442,5000,1011,0.001000000000000000020816681712,1,0.001000000000000000020816681712
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,558,3780,542,0.001000000000000000020816681712,9,0.9989999999999999991118215803
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,641,5000,842,0.001000000000000000020816681712,9,0.001000000000000000020816681712
77,77_0,FAILED,BoTorch,GenerationStep_1,,,1348,1,10,10,0.9989999999999999991118215803
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.410000000000000031086244689504,1066,1376,216,10,1,0.9989999999999999991118215803
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,375,1339,1708,10,1,0.001000000000000000020816681712
80,80_0,FAILED,BoTorch,GenerationStep_1,,,1346,1,10,10,0.001000000000000000020816681712
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.380000000000000004440892098501,905,3810,333,0.001000000000000000020816681712,10,0.001000000000000000020816681712
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,693,3832,533,10,1,0.9989999999999999991118215803
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,400,4098,1790,0.001000000000000000020816681712,1,0.9989999999999999991118215803
84,84_0,FAILED,BoTorch,GenerationStep_1,,,3113,1,0.001000000000000000020816681712,8,0.9989999999999999991118215803
85,85_0,FAILED,BoTorch,GenerationStep_1,,,3749,1,0.001000000000000000020816681712,11,0.9989999999999999991118215803
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,444,5000,1078,10,1,0.9989999999999999991118215803
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.25,458,3981,975,0.001000000000000000020816681712,1,0.9989999999999999991118215803
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,388,3775,1785,10,1,0.001000000000000000020816681712
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,403,5000,1527,0.001000000000000000020816681712,8,0.001000000000000000020816681712
90,90_0,RUNNING,BoTorch,GenerationStep_1,,,1192,1,0.239325390643960828063185886094,1,0.979874134510804739583988975937
91,91_0,RUNNING,BoTorch,GenerationStep_1,,,4210,1,8.824355789209626266256236704066,1,0.309039535648174767956675168534
92,92_0,RUNNING,BoTorch,GenerationStep_1,,,5000,1,2.464418003253439959365778122446,12,0.9989999999999999991118215803
93,93_0,RUNNING,BoTorch,GenerationStep_1,,,5000,1,10,4,0.001000000000000000020816681712
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,1998,1,1,0.001000000000000000020816681712,1,0.9989999999999999991118215803
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,440,2446,1100,0.001000000000000000020816681712,1,0.741435719383499836077078271046
96,96_0,RUNNING,BoTorch,GenerationStep_1,,,2548,1,10,1,0.322237279060082648651786030314
97,97_0,RUNNING,BoTorch,GenerationStep_1,,,4425,1,7.459149244704289749563486111583,11,0.001000000000000000020816681712
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,401,5000,2169,0.001000000000000000020816681712,10,0.9989999999999999991118215803
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,400,3662,2809,10,4,0.305134104964767449708062940772
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,4654,1,1,0.001000000000000000020816681712,5,0.9989999999999999991118215803
101,101_0,RUNNING,BoTorch,GenerationStep_1,,,5000,1,0.001000000000000000020816681712,11,0.9989999999999999991118215803
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,812,85,1076,0.001000000000000000020816681712,3,0.9989999999999999991118215803
103,103_0,RUNNING,BoTorch,GenerationStep_1,,,2670,1,1.261049899731483847631352546159,1,0.683112029713731749858141029108
104,104_0,FAILED,BoTorch,GenerationStep_1,,,3314,1,10,11,0.001000000000000000020816681712
105,105_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,7.090574397177688226179270714056,1,0.001000000000000000020816681712
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,6954,1,1,0.001000000000000000020816681712,8,0.9989999999999999991118215803
107,107_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,6.724530338533917905863290798152,14,0.9989999999999999991118215803
108,108_0,FAILED,BoTorch,GenerationStep_1,,,1469,1,10,20,0.001000000000000000020816681712
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,468,2617,2255,0.001000000000000000020816681712,5,0.515331529939015653418721285561
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,353,4912,3444,0.001000000000000000020816681712,10,0.534111126402141422886415966786
111,111_0,FAILED,BoTorch,GenerationStep_1,,,2520,1,0.001000000000000000020816681712,10,0.755056845069874027487344392284
112,112_0,FAILED,BoTorch,GenerationStep_1,,,361,1,0.001000000000000000020816681712,10,0.9989999999999999991118215803
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.369999999999999995559107901499,559,2470,138,0.001000000000000000020816681712,1,0.735885374368639433306782393629
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,390,1535,2032,4.421320009394751338049900368787,1,0.837898369034787871001412895566
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.30999999999999999777955395075,521,989,413,0.001000000000000000020816681712,1,0.9989999999999999991118215803
116,116_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,10,14,0.001000000000000000020816681712
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,377,4786,2323,0.001000000000000000020816681712,1,0.235699498017112513137405471753
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,460,5000,925,0.001000000000000000020816681712,11,0.9989999999999999991118215803
119,119_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,10,6,0.001000000000000000020816681712
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,747,2176,493,0.001000000000000000020816681712,8,0.001000000000000000020816681712
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,605,1728,1545,0.001000000000000000020816681712,7,0.001000000000000000020816681712
122,122_0,RUNNING,BoTorch,GenerationStep_1,,,351,1,10,1,0.368861167534284550839629446273
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,549,440,1992,3.772649501276401640126323400182,3,0.451885358516337598544510001375
124,124_0,RUNNING,BoTorch,GenerationStep_1,,,2961,1,2.821948671752940729362535421387,9,0.001000000000000000020816681712
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.25,617,1447,767,0.001000000000000000020816681712,3,0.555292723140659139069441607717
126,126_0,RUNNING,BoTorch,GenerationStep_1,,,4942,1,3.772049018153242450068773905514,1,0.611888845690858218517860223074
127,127_0,RUNNING,BoTorch,GenerationStep_1,,,4061,1,3.797316661608276966433095367393,1,0.001023534408874077162796001339
128,128_0,RUNNING,BoTorch,GenerationStep_1,,,3853,1,0.001000000000000000020816681712,11,0.9989999999999999991118215803
129,129_0,RUNNING,BoTorch,GenerationStep_1,,,1535,1,10,1,0.461240965128825342045360002885
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,856,2108,881,0.001000000000000000020816681712,8,0.001000000000000000020816681712
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.369999999999999995559107901499,575,2241,94,0.001000000000000000020816681712,9,0.001000000000000000020816681712
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,561,1,429,10,1,0.317253164577370738719253040472
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,1793,1,3734,10,12,0.001000000000000000020816681712
134,134_0,RUNNING,BoTorch,GenerationStep_1,,,5000,1,0.001000000000000000020816681712,4,0.001000000000000000020816681712
135,135_0,RUNNING,BoTorch,GenerationStep_1,,,3555,1,5.514324139155671211653952923371,1,0.001000000000000000020816681712
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,1776,2677,75,0.001000000000000000020816681712,10,0.425585215073435552124436753729
137,137_0,RUNNING,BoTorch,GenerationStep_1,,,3597,1,10,11,0.001000000000000000020816681712
138,138_0,FAILED,BoTorch,GenerationStep_1,,,3600,1,2.820616044178644976625491835875,11,0.63693998394879924873634990945
139,139_0,FAILED,BoTorch,GenerationStep_1,,,3310,1,10,11,0.9989999999999999991118215803
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,260,1,2099,5.466465362515806170051746448735,2,0.508338181287311341449708379514
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,402,884,1902,2.669340250539705916565935694962,5,0.001000000000000000020816681712
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,476,1209,547,0.001000000000000000020816681712,5,0.040707542243613434318483257357
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,505,2557,227,0.001000000000000000020816681712,6,0.001000000000000000020816681712
144,144_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,10,1,0.001000000000000000020816681712
145,145_0,FAILED,BoTorch,GenerationStep_1,,,4633,1,10,13,0.001000000000000000020816681712
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,253,1,3443,10,2,0.787176616799068695762287006801
147,147_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,5.168975295750088960744506039191,13,0.001000000000000000020816681712
148,148_0,FAILED,BoTorch,GenerationStep_1,,,3312,1,10,1,0.048502814641804399553581816917
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,426,1079,1911,2.253745353211919155711484563653,4,0.561179576377505040518656187487
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,583,1410,1543,0.001000000000000000020816681712,1,0.9989999999999999991118215803
151,151_0,RUNNING,BoTorch,GenerationStep_1,,,3044,1,3.510872480106875137551014631754,6,0.001000000000000000020816681712
152,152_0,RUNNING,BoTorch,GenerationStep_1,,,1618,1,10,20,0.001000000000000000020816681712
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,392,802,2390,0.001000000000000000020816681712,1,0.9989999999999999991118215803
154,154_0,RUNNING,BoTorch,GenerationStep_1,,,2987,1,0.001000000000000000020816681712,6,0.176957503834823504096362967175
155,155_0,RUNNING,BoTorch,GenerationStep_1,,,4226,1,7.262381198496146161858177947579,6,0.001000000000000000020816681712
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,508,5000,722,0.001000000000000000020816681712,7,0.9989999999999999991118215803
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,407,4856,4443,5.30319715274118497205790845328,11,0.70260545276834862615800147978
158,158_0,RUNNING,BoTorch,GenerationStep_1,,,4481,1,10,16,0.001000000000000000020816681712
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,883,4325,486,10,1,0.47445725989205217443256401566
160,160_0,RUNNING,BoTorch,GenerationStep_1,,,3060,1,9.597005982008781188596913125366,1,0.131536851812338539957636385225
161,161_0,RUNNING,BoTorch,GenerationStep_1,,,4678,1,10,17,0.9989999999999999991118215803
162,162_0,RUNNING,BoTorch,GenerationStep_1,,,1506,1,5.668157955850644746931266126921,1,0.392433264021505689989055554179
163,163_0,FAILED,BoTorch,GenerationStep_1,,,3039,1,5.109350395374718800667324103415,4,0.001000000000000000020816681712
164,164_0,FAILED,BoTorch,GenerationStep_1,,,3196,1,10,19,0.001000000000000000020816681712
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,390,1230,3529,0.001000000000000000020816681712,5,0.9989999999999999991118215803
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,424,1721,3976,0.001000000000000000020816681712,9,0.283914647835164513089978299831
167,167_0,FAILED,BoTorch,GenerationStep_1,,,1582,1,2.395217467414639589406988307019,7,0.001000000000000000020816681712
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,397,4128,5000,0.001000000000000000020816681712,7,0.66076879612502159577758220621
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,361,3686,5000,5.463106036753376137937721068738,11,0.669750145800611429436344224086
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,380,3502,5000,0.001000000000000000020816681712,6,0.989276841101504378350739443704
171,171_0,FAILED,BoTorch,GenerationStep_1,,,2997,1,7.3131142485039122291823332489,1,0.001000000000000000020816681712
172,172_0,FAILED,BoTorch,GenerationStep_1,,,4908,1,10,8,0.001000000000000000020816681712
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,2807,3322,105,0.001000000000000000020816681712,1,0.388436102856926479542920560561
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,389,1564,1800,10,1,0.57644056285104405823460638203
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,525,2864,3459,4.767306618815345231610081100371,1,0.001000000000000000020816681712
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,478,3481,5000,2.550868123657310526652963744709,9,0.536565196316137749121821798326
177,177_0,FAILED,BoTorch,GenerationStep_1,,,523,1,1.200818666854333027771417619078,7,0.001000000000000000020816681712
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,258,1,2732,0.001000000000000000020816681712,1,0.9989999999999999991118215803
179,179_0,FAILED,BoTorch,GenerationStep_1,,,167,1,0.001000000000000000020816681712,9,0.001000000000000000020816681712
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,381,4056,2228,0.001000000000000000020816681712,3,0.001000000000000000020816681712
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,401,741,1014,4.087097653386217110949019115651,1,0.6777669885634577395805422384
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,889,4911,413,0.001000000000000000020816681712,6,0.001000000000000000020816681712
183,183_0,RUNNING,BoTorch,GenerationStep_1,,,1264,1,3.384216955721661257427967939293,1,0.682092652794982878816654192633
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,387,1336,5000,5.246293649690255023188001359813,15,0.404300292499423896686039370252
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,774,1298,351,3.428038548580880195970621571178,1,0.685075518063806176982666329422
186,186_0,RUNNING,BoTorch,GenerationStep_1,,,1623,1,0.001000000000000000020816681712,1,0.800494033014824135641163138644
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.390000000000000013322676295502,1346,4770,300,10,6,0.001000000000000000020816681712
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,448,3555,4329,2.955525040237104050788730091881,2,0.64296724298373408856832611491
189,189_0,FAILED,BoTorch,GenerationStep_1,,,1580,1,10,16,0.001000000000000000020816681712
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,470,5000,2417,0.001000000000000000020816681712,3,0.001000000000000000020816681712
191,145_0,FAILED,BoTorch,GenerationStep_1,,,4633,1,10,13,0.001000000000000000020816681712
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,438,1904,3766,4.000075445257750494931769935647,5,0.149994660921064643099853697095
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,673,5000,1174,10,4,0.001000000000000000020816681712
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,1267,5000,588,10,7,0.001000000000000000020816681712
195,195_0,FAILED,BoTorch,GenerationStep_1,,,457,1,0.001000000000000000020816681712,8,0.001000000000000000020816681712
196,196_0,FAILED,BoTorch,GenerationStep_1,,,4058,1,10,9,0.001000000000000000020816681712
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,434,5000,4070,0.001000000000000000020816681712,1,0.001000000000000000020816681712
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,517,2373,4041,5.263824133038320418620514828945,5,0.480864756235242996051937325319
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.579999999999999960031971113494,3788,2012,1,0.001000000000000000020816681712,1,0.9989999999999999991118215803
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,398,4971,3448,0.001000000000000000020816681712,3,0.87444544917883759715948599478
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,596,5000,919,0.001000000000000000020816681712,5,0.001000000000000000020816681712
202,202_0,FAILED,BoTorch,GenerationStep_1,,,3853,1,10,4,0.001000000000000000020816681712
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.25,2188,5000,971,10,12,0.001000000000000000020816681712
204,204_0,FAILED,BoTorch,GenerationStep_1,,,617,1,0.001000000000000000020816681712,20,0.001000000000000000020816681712
205,205_0,FAILED,BoTorch,GenerationStep_1,,,669,1,0.001000000000000000020816681712,17,0.001000000000000000020816681712
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,318,1,2386,6.173252703773010274801436025882,3,0.9989999999999999991118215803
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,390,5000,2342,3.435466318681275499358207525802,1,0.001000000000000000020816681712
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,397,5000,2845,10,4,0.001000000000000000020816681712
209,209_0,FAILED,BoTorch,GenerationStep_1,,,508,1,10,20,0.001000000000000000020816681712
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,423,3066,711,10,1,0.821126133786394762914540024212
211,211_0,RUNNING,BoTorch,GenerationStep_1,,,1754,1,0.001000000000000000020816681712,11,0.001000000000000000020816681712
212,212_0,RUNNING,BoTorch,GenerationStep_1,,,4619,1,0.001000000000000000020816681712,10,0.001000000000000000020816681712
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.380000000000000004440892098501,800,3111,239,0.001000000000000000020816681712,8,0.001000000000000000020816681712
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,490,3117,459,0.001000000000000000020816681712,7,0.001000000000000000020816681712
215,215_0,RUNNING,BoTorch,GenerationStep_1,,,1763,1,10,1,0.9989999999999999991118215803
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,426,1287,782,10,1,0.89191191839454908585338444027
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,375,5000,2494,0.001000000000000000020816681712,10,0.001000000000000000020816681712
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,487,5000,1117,0.001000000000000000020816681712,6,0.9989999999999999991118215803
219,219_0,RUNNING,BoTorch,GenerationStep_1,,,4968,1,0.001000000000000000020816681712,12,0.001000000000000000020816681712
220,220_0,RUNNING,BoTorch,GenerationStep_1,,,3097,1,0.001000000000000000020816681712,10,0.001000000000000000020816681712
221,221_0,RUNNING,BoTorch,GenerationStep_1,,,1761,1,10,20,0.9989999999999999991118215803
222,222_0,RUNNING,BoTorch,GenerationStep_1,,,1723,1,0.001000000000000000020816681712,15,0.001000000000000000020816681712
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,445,3087,679,0.001000000000000000020816681712,4,0.001000000000000000020816681712
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,410,3029,792,0.001000000000000000020816681712,6,0.001000000000000000020816681712
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,480,3077,630,0.001000000000000000020816681712,1,0.595421087594265152631578530418
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,560,3117,343,0.001000000000000000020816681712,8,0.001000000000000000020816681712
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,430,4137,1118,0.001000000000000000020816681712,8,0.9989999999999999991118215803
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,379,3992,2372,10,1,0.9989999999999999991118215803
229,229_0,RUNNING,BoTorch,GenerationStep_1,,,3060,1,0.001000000000000000020816681712,17,0.9989999999999999991118215803
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,398,1081,806,10,1,0.469772405162296735614546605575
231,231_0,RUNNING,BoTorch,GenerationStep_1,,,3054,1,0.001000000000000000020816681712,12,0.001000000000000000020816681712
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,387,3031,775,0.001000000000000000020816681712,1,0.9989999999999999991118215803
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,435,3092,560,0.001000000000000000020816681712,6,0.001000000000000000020816681712
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,496,4270,969,10,1,0.43936323172391689162452621531
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,399,1226,845,0.001000000000000000020816681712,3,0.001000000000000000020816681712
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,473,4731,1088,0.001000000000000000020816681712,1,0.553930013895503670084963232512
237,237_0,FAILED,BoTorch,GenerationStep_1,,,3026,1,10,13,0.001000000000000000020816681712
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,392,3172,2658,0.001000000000000000020816681712,1,0.21355761922641325334382145229
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,380,3058,2690,10,1,0.548388087603861484886635935254
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.5,6101,3568,77,0.001000000000000000020816681712,9,0.001000000000000000020816681712
241,241_0,RUNNING,BoTorch,GenerationStep_1,,,3467,1,0.001000000000000000020816681712,9,0.001000000000000000020816681712
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.44000000000000000222044604925,1989,3699,180,0.001000000000000000020816681712,9,0.001000000000000000020816681712
243,243_0,RUNNING,BoTorch,GenerationStep_1,,,1746,1,0.001000000000000000020816681712,8,0.001000000000000000020816681712
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,469,1315,624,0.001000000000000000020816681712,1,0.728690530608630093745148315065
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.369999999999999995559107901499,969,4605,353,0.001000000000000000020816681712,8,0.001000000000000000020816681712
246,246_0,RUNNING,BoTorch,GenerationStep_1,,,659,1,0.001000000000000000020816681712,20,0.9989999999999999991118215803
247,247_0,RUNNING,BoTorch,GenerationStep_1,,,1723,1,10,16,0.001000000000000000020816681712
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,687,3856,471,0.001000000000000000020816681712,7,0.001000000000000000020816681712
249,249_0,RUNNING,BoTorch,GenerationStep_1,,,4888,1,0.001000000000000000020816681712,14,0.9989999999999999991118215803
250,250_0,RUNNING,BoTorch,GenerationStep_1,,,1760,1,0.001000000000000000020816681712,20,0.9989999999999999991118215803
251,251_0,RUNNING,BoTorch,GenerationStep_1,,,3583,1,10,20,0.001000000000000000020816681712
252,252_0,RUNNING,BoTorch,GenerationStep_1,,,3650,1,0.001000000000000000020816681712,11,0.001000000000000000020816681712
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,590,4962,626,0.001000000000000000020816681712,9,0.9989999999999999991118215803
254,254_0,RUNNING,BoTorch,GenerationStep_1,,,4790,1,0.001000000000000000020816681712,20,0.9989999999999999991118215803
255,48_0,RUNNING,BoTorch,GenerationStep_1,,,5000,1,0.001000000000000000020816681712,9,0.001000000000000000020816681712
256,256_0,RUNNING,BoTorch,GenerationStep_1,,,3580,1,0.001000000000000000020816681712,14,0.001000000000000000020816681712
257,257_0,FAILED,BoTorch,GenerationStep_1,,,4799,1,0.001000000000000000020816681712,11,0.001000000000000000020816681712
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,479,1352,552,10,1,0.9989999999999999991118215803
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,622,4552,708,0.001000000000000000020816681712,4,0.549503722004643146981095469528
260,260_0,FAILED,BoTorch,GenerationStep_1,,,1776,1,10,17,0.9989999999999999991118215803
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.400000000000000022204460492503,1036,3692,279,0.001000000000000000020816681712,8,0.001000000000000000020816681712
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,500,1330,705,0.001000000000000000020816681712,1,0.9989999999999999991118215803
263,263_0,FAILED,BoTorch,GenerationStep_1,,,1721,1,0.001000000000000000020816681712,20,0.001000000000000000020816681712
264,264_0,FAILED,BoTorch,GenerationStep_1,,,1761,1,0.001000000000000000020816681712,17,0.9989999999999999991118215803
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,767,3825,384,0.001000000000000000020816681712,8,0.001000000000000000020816681712
266,266_0,FAILED,BoTorch,GenerationStep_1,,,1744,1,10,13,0.001000000000000000020816681712
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.44000000000000000222044604925,1755,3104,133,0.001000000000000000020816681712,11,0.001000000000000000020816681712
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,490,5000,852,0.001000000000000000020816681712,9,0.9989999999999999991118215803
269,269_0,FAILED,BoTorch,GenerationStep_1,,,1766,1,0.001000000000000000020816681712,1,0.9989999999999999991118215803
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.400000000000000022204460492503,1601,3580,245,0.001000000000000000020816681712,1,0.001000000000000000020816681712
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,749,4720,539,0.001000000000000000020816681712,1,0.001000000000000000020816681712
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,459,3954,4590,10,5,0.9989999999999999991118215803
273,273_0,RUNNING,BoTorch,GenerationStep_1,,,3515,1,0.001000000000000000020816681712,20,0.001000000000000000020816681712
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,507,3975,4807,0.001000000000000000020816681712,1,0.001000000000000000020816681712
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,391,4463,1660,0.001000000000000000020816681712,5,0.9989999999999999991118215803
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,561,4007,3044,0.001000000000000000020816681712,7,0.001000000000000000020816681712
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,4661,1709,98,0.001000000000000000020816681712,16,0.001000000000000000020816681712
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,412,5000,3873,10,1,0.9989999999999999991118215803
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,531,3432,3350,10,6,0.001000000000000000020816681712
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,353,3997,4616,0.001000000000000000020816681712,5,0.001000000000000000020816681712
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.369999999999999995559107901499,827,3619,328,0.001000000000000000020816681712,1,0.001000000000000000020816681712
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,417,1009,5000,10,1,0.9989999999999999991118215803
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,3257,3522,103,0.001000000000000000020816681712,1,0.001000000000000000020816681712
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.30999999999999999777955395075,574,4844,603,0.001000000000000000020816681712,8,0.001000000000000000020816681712
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,363,3974,2283,0.001000000000000000020816681712,8,0.001000000000000000020816681712
286,286_0,FAILED,BoTorch,GenerationStep_1,,,1739,71,10,1,0.001000000000000000020816681712
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,517,4011,4790,10,10,0.001000000000000000020816681712
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,380,4382,2315,0.001000000000000000020816681712,7,0.9989999999999999991118215803
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,747,4698,416,10,1,0.001000000000000000020816681712
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,364,5000,2844,10,1,0.9989999999999999991118215803
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,441,756,5000,10,1,0.001000000000000000020816681712
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,444,3567,3102,0.001000000000000000020816681712,1,0.001000000000000000020816681712
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,473,3892,2314,10,7,0.001000000000000000020816681712
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.369999999999999995559107901499,726,2862,228,0.001000000000000000020816681712,20,0.9989999999999999991118215803
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,350,5000,4606,0.001000000000000000020816681712,8,0.9989999999999999991118215803
296,296_0,FAILED,BoTorch,GenerationStep_1,,,1787,1,0.001000000000000000020816681712,20,0.001000000000000000020816681712
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,352,4006,3325,10,7,0.051192589906230913376905533596
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,485,1115,4610,0.001000000000000000020816681712,8,0.001000000000000000020816681712
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,2263,1704,159,10,1,0.9989999999999999991118215803
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,379,5000,3893,0.001000000000000000020816681712,10,0.9989999999999999991118215803
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,607,4183,2022,0.001000000000000000020816681712,5,0.9989999999999999991118215803
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,552,1604,3438,10,7,0.9989999999999999991118215803
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,529,4863,1927,10,4,0.9989999999999999991118215803
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.380000000000000004440892098501,896,3859,332,0.001000000000000000020816681712,1,0.9989999999999999991118215803
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,351,4038,3051,0.001000000000000000020816681712,1,0.9989999999999999991118215803
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,341,3977,4648,0.001000000000000000020816681712,16,0.001000000000000000020816681712
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,5690,1665,88,10,20,0.9989999999999999991118215803
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,442,5000,4602,0.001000000000000000020816681712,1,0.9989999999999999991118215803
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,340,4104,4347,0.001000000000000000020816681712,20,0.001000000000000000020816681712
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,503,4017,3200,0.001000000000000000020816681712,9,0.9989999999999999991118215803
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,441,1267,653,0.001000000000000000020816681712,7,0.001000000000000000020816681712
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.400000000000000022204460492503,1298,3803,250,10,1,0.9989999999999999991118215803
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,369,5000,5000,10,4,0.001000000000000000020816681712
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,570,4201,677,0.001000000000000000020816681712,1,0.392797695603581353829270028655
315,315_0,RUNNING,BoTorch,GenerationStep_1,,,1746,1,0.001000000000000000020816681712,1,0.001000000000000000020816681712
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,885,4975,2793,10,9,0.001000000000000000020816681712
317,317_0,RUNNING,BoTorch,GenerationStep_1,,,3652,1,0.001000000000000000020816681712,20,0.9989999999999999991118215803
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,369,5000,4052,10,8,0.9989999999999999991118215803
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,356,3942,5000,0.001000000000000000020816681712,3,0.51936978783133969095331394783
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,842,3919,2033,10,7,0.9989999999999999991118215803
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,880,1587,3762,10,7,0.9989999999999999991118215803
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,359,3917,4209,0.001000000000000000020816681712,5,0.001000000000000000020816681712
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,641,4894,558,0.001000000000000000020816681712,6,0.001000000000000000020816681712
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,611,4265,1845,10,4,0.001000000000000000020816681712
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,369,4092,3099,0.001000000000000000020816681712,5,0.752412012351584835734286116349
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,388,4131,4751,0.001000000000000000020816681712,13,0.001000000000000000020816681712
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,408,5000,3605,0.001000000000000000020816681712,7,0.9989999999999999991118215803
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,341,3953,4220,0.001000000000000000020816681712,14,0.001000000000000000020816681712
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,964,4245,1773,10,7,0.9989999999999999991118215803
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.419999999999999984456877655248,1699,3656,203,0.001000000000000000020816681712,20,0.9989999999999999991118215803
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,4064,3567,101,0.001000000000000000020816681712,20,0.9989999999999999991118215803
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.390000000000000013322676295502,1232,3673,287,0.001000000000000000020816681712,20,0.9989999999999999991118215803
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,875,2871,270,0.001000000000000000020816681712,11,0.9989999999999999991118215803
334,334_0,RUNNING,BoTorch,GenerationStep_1,,,3564,59,0.001000000000000000020816681712,20,0.9989999999999999991118215803
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.380000000000000004440892098501,784,2860,200,0.001000000000000000020816681712,11,0.9989999999999999991118215803
336,336_0,RUNNING,BoTorch,GenerationStep_1,,,1938,1,0.001000000000000000020816681712,8,0.9989999999999999991118215803
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,2294,3591,150,0.001000000000000000020816681712,20,0.9989999999999999991118215803
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,551,2841,299,0.001000000000000000020816681712,5,0.9989999999999999991118215803
339,339_0,RUNNING,BoTorch,GenerationStep_1,,,1946,24,0.001000000000000000020816681712,8,0.9989999999999999991118215803
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.400000000000000022204460492503,1431,3636,238,0.001000000000000000020816681712,20,0.001000000000000000020816681712
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.429999999999999993338661852249,2041,4893,205,0.001000000000000000020816681712,20,0.9989999999999999991118215803
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.369999999999999995559107901499,952,3627,340,0.001000000000000000020816681712,19,0.9989999999999999991118215803
343,343_0,RUNNING,BoTorch,GenerationStep_1,,,1840,1,0.001000000000000000020816681712,8,0.9989999999999999991118215803
344,344_0,RUNNING,BoTorch,GenerationStep_1,,,1946,58,0.001000000000000000020816681712,8,0.9989999999999999991118215803
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.419999999999999984456877655248,1023,2858,151,0.001000000000000000020816681712,12,0.9989999999999999991118215803
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,3295,3579,125,10,20,0.9989999999999999991118215803
347,347_0,RUNNING,BoTorch,GenerationStep_1,,,1770,49,0.001000000000000000020816681712,1,0.9989999999999999991118215803
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,573,2876,264,0.001000000000000000020816681712,1,0.9989999999999999991118215803
349,349_0,RUNNING,BoTorch,GenerationStep_1,,,5000,1,10,20,0.001000000000000000020816681712
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.44000000000000000222044604925,2958,3626,177,10,20,0.9989999999999999991118215803
351,351_0,RUNNING,BoTorch,GenerationStep_1,,,3263,1,10,20,0.9989999999999999991118215803
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.390000000000000013322676295502,2582,3670,265,10,20,0.9989999999999999991118215803
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.369999999999999995559107901499,3994,3598,330,10,20,0.001000000000000000020816681712
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,643,2980,313,0.001000000000000000020816681712,14,0.9989999999999999991118215803
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,5603,3528,81,0.001000000000000000020816681712,20,0.001000000000000000020816681712
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.380000000000000004440892098501,768,2894,232,0.001000000000000000020816681712,12,0.9989999999999999991118215803
357,357_0,RUNNING,BoTorch,GenerationStep_1,,,1956,1,0.001000000000000000020816681712,9,0.001000000000000000020816681712
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,3950,1728,113,0.001000000000000000020816681712,1,0.001000000000000000020816681712
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.390000000000000013322676295502,1092,4707,337,0.001000000000000000020816681712,20,0.9989999999999999991118215803
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.390000000000000013322676295502,1582,4846,323,0.001000000000000000020816681712,11,0.9989999999999999991118215803
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.419999999999999984456877655248,1764,4837,226,0.001000000000000000020816681712,12,0.9989999999999999991118215803
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,655,1369,361,0.001000000000000000020816681712,9,0.9989999999999999991118215803
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,471,4241,904,0.001000000000000000020816681712,5,0.9989999999999999991118215803
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.44000000000000000222044604925,2255,4849,189,0.001000000000000000020816681712,12,0.9989999999999999991118215803
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,3510,3562,127,0.001000000000000000020816681712,1,0.9989999999999999991118215803
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,2004,1570,160,0.001000000000000000020816681712,11,0.9989999999999999991118215803
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,417,4313,1303,0.001000000000000000020816681712,5,0.001000000000000000020816681712
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,577,4335,933,10,5,0.9989999999999999991118215803
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,999,4919,387,0.001000000000000000020816681712,6,0.9989999999999999991118215803
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.390000000000000013322676295502,1531,4838,268,0.001000000000000000020816681712,11,0.9989999999999999991118215803
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,565,4318,1411,10,6,0.9989999999999999991118215803
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.5,5824,3499,77,10,1,0.9989999999999999991118215803
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,520,5000,2380,10,7,0.9989999999999999991118215803
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,465,5000,852,10,1,0.001000000000000000020816681712
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.369999999999999995559107901499,1051,4904,355,0.001000000000000000020816681712,13,0.9989999999999999991118215803
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,446,4368,1582,10,4,0.001000000000000000020816681712
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,4902,1652,91,0.001000000000000000020816681712,1,0.9989999999999999991118215803
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,413,4328,1356,0.001000000000000000020816681712,5,0.9989999999999999991118215803
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,618,4254,791,10,4,0.9989999999999999991118215803
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.429999999999999993338661852249,1642,1555,180,0.001000000000000000020816681712,1,0.9989999999999999991118215803
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,400,4094,2513,0.001000000000000000020816681712,6,0.9989999999999999991118215803
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,755,1372,341,0.001000000000000000020816681712,13,0.9989999999999999991118215803
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.400000000000000022204460492503,1444,4834,246,0.001000000000000000020816681712,12,0.9989999999999999991118215803
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,358,4712,3101,10,1,0.9989999999999999991118215803
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,425,1337,916,0.001000000000000000020816681712,6,0.9989999999999999991118215803
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,3033,1612,121,0.001000000000000000020816681712,1,0.9989999999999999991118215803
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.419999999999999984456877655248,2000,5000,207,0.001000000000000000020816681712,12,0.9989999999999999991118215803
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,2346,3581,146,0.001000000000000000020816681712,1,0.9989999999999999991118215803
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,616,1307,390,0.001000000000000000020816681712,6,0.9989999999999999991118215803
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,364,5000,4087,0.001000000000000000020816681712,20,0.9989999999999999991118215803
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,619,5000,2190,10,3,0.9989999999999999991118215803
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,440,4371,1595,0.001000000000000000020816681712,3,0.001000000000000000020816681712
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.419999999999999984456877655248,1382,3659,207,0.001000000000000000020816681712,7,0.9989999999999999991118215803
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,4083,1647,105,0.001000000000000000020816681712,1,0.9989999999999999991118215803
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,429,4206,4324,0.001000000000000000020816681712,10,0.001000000000000000020816681712
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.390000000000000013322676295502,1163,4792,305,0.001000000000000000020816681712,6,0.9989999999999999991118215803
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,354,3975,2914,0.001000000000000000020816681712,3,0.001000000000000000020816681712
398,398_0,RUNNING,BoTorch,GenerationStep_1,,,1739,29,0.001000000000000000020816681712,1,0.9989999999999999991118215803
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,361,1666,4605,10,1,0.9989999999999999991118215803
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,462,1701,3861,0.001000000000000000020816681712,1,0.9989999999999999991118215803
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,1530,5000,4109,10,20,0.001000000000000000020816681712
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,389,4077,1968,0.001000000000000000020816681712,1,0.001000000000000000020816681712
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,378,4059,3308,0.001000000000000000020816681712,4,0.001000000000000000020816681712
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,365,3649,3971,0.001000000000000000020816681712,20,0.001000000000000000020816681712
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,342,1710,4517,0.001000000000000000020816681712,1,0.001000000000000000020816681712
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,400,4023,3031,10,3,0.001000000000000000020816681712
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,374,1610,4784,10,1,0.001000000000000000020816681712
408,408_0,RUNNING,BoTorch,GenerationStep_1,,,3451,60,0.001000000000000000020816681712,1,0.001000000000000000020816681712
409,409_0,FAILED,BoTorch,GenerationStep_1,,,1690,69,0.001000000000000000020816681712,1,0.9989999999999999991118215803
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,2797,1611,137,0.001000000000000000020816681712,8,0.9989999999999999991118215803
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,1368,4057,4314,10,13,0.001000000000000000020816681712
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.410000000000000031086244689504,1563,4796,242,0.001000000000000000020816681712,7,0.001000000000000000020816681712
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,379,3972,2856,0.001000000000000000020816681712,1,0.001000000000000000020816681712
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,367,4024,2743,0.001000000000000000020816681712,4,0.001000000000000000020816681712
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,409,4241,1620,10,3,0.9989999999999999991118215803
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.44000000000000000222044604925,2197,3598,163,0.001000000000000000020816681712,7,0.001000000000000000020816681712
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,465,4496,3207,10,4,0.09785489349440465445262304911
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,401,4069,2151,10,3,0.001000000000000000020816681712
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,666,1353,405,0.001000000000000000020816681712,1,0.001000000000000000020816681712
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,370,1709,3589,0.001000000000000000020816681712,1,0.001000000000000000020816681712
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,354,3978,4402,10,1,0.9989999999999999991118215803
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.510000000000000008881784197001,7032,1686,71,0.001000000000000000020816681712,9,0.9989999999999999991118215803
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,460,5000,1132,0.001000000000000000020816681712,4,0.9989999999999999991118215803
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,385,4467,3312,0.001000000000000000020816681712,5,0.9989999999999999991118215803
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,337,5000,4861,0.001000000000000000020816681712,6,0.001000000000000000020816681712
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.30999999999999999777955395075,536,1319,450,0.001000000000000000020816681712,4,0.9989999999999999991118215803
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,495,4227,827,0.001000000000000000020816681712,4,0.001000000000000000020816681712
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,870,4778,400,0.001000000000000000020816681712,1,0.9989999999999999991118215803
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,464,4064,4758,0.001000000000000000020816681712,20,0.001000000000000000020816681712
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.390000000000000013322676295502,1589,4786,287,0.001000000000000000020816681712,10,0.9989999999999999991118215803
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,402,4392,1333,10,1,0.9989999999999999991118215803
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,358,5000,3447,0.001000000000000000020816681712,6,0.001000000000000000020816681712
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,371,5000,3954,0.001000000000000000020816681712,16,0.9989999999999999991118215803
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,2067,3570,150,0.001000000000000000020816681712,10,0.9989999999999999991118215803
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.470000000000000028865798640254,3705,1637,113,0.001000000000000000020816681712,9,0.9989999999999999991118215803
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,594,4159,958,10,4,0.001000000000000000020816681712
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,385,4114,1976,10,1,0.9989999999999999991118215803
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,399,1452,1159,10,1,0.001000000000000000020816681712
439,439_0,FAILED,BoTorch,GenerationStep_1,,,1708,57,0.001000000000000000020816681712,9,0.9989999999999999991118215803
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.429999999999999993338661852249,2132,4743,211,0.001000000000000000020816681712,11,0.9989999999999999991118215803
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,482,4245,875,0.001000000000000000020816681712,3,0.9989999999999999991118215803
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,695,4218,499,0.001000000000000000020816681712,20,0.9989999999999999991118215803
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,366,5000,4041,10,2,0.001000000000000000020816681712
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.25,537,4261,996,0.001000000000000000020816681712,4,0.9989999999999999991118215803
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,499,4083,4842,10,6,0.9989999999999999991118215803
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,390,4045,2324,0.001000000000000000020816681712,6,0.001000000000000000020816681712
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,351,4023,4335,0.001000000000000000020816681712,6,0.9989999999999999991118215803
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.429999999999999993338661852249,1733,3626,190,0.001000000000000000020816681712,9,0.9989999999999999991118215803
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.380000000000000004440892098501,1079,4807,342,0.001000000000000000020816681712,6,0.9989999999999999991118215803
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,410,4247,1511,0.001000000000000000020816681712,5,0.9989999999999999991118215803
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.419999999999999984456877655248,1743,4705,223,0.001000000000000000020816681712,8,0.001000000000000000020816681712
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,930,5000,411,0.001000000000000000020816681712,13,0.001000000000000000020816681712
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.400000000000000022204460492503,1276,4574,268,0.001000000000000000020816681712,8,0.001000000000000000020816681712
454,454_0,RUNNING,BoTorch,GenerationStep_1,,,1694,67,10,1,0.001000000000000000020816681712
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.5,6610,1683,76,0.001000000000000000020816681712,1,0.001000000000000000020816681712
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.44000000000000000222044604925,2712,4501,171,0.001000000000000000020816681712,1,0.001000000000000000020816681712
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,2778,1617,132,0.001000000000000000020816681712,1,0.001000000000000000020816681712
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,411,4731,1402,0.001000000000000000020816681712,2,0.9989999999999999991118215803
459,459_0,FAILED,BoTorch,GenerationStep_1,,,1724,36,0.001000000000000000020816681712,1,0.001000000000000000020816681712
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.390000000000000013322676295502,1104,4697,311,0.001000000000000000020816681712,7,0.001000000000000000020816681712
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.44000000000000000222044604925,2253,4607,200,0.001000000000000000020816681712,10,0.001000000000000000020816681712
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.429999999999999993338661852249,1686,3579,174,0.001000000000000000020816681712,1,0.001000000000000000020816681712
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,447,1520,1268,0.001000000000000000020816681712,3,0.001000000000000000020816681712
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,801,4379,389,0.001000000000000000020816681712,2,0.001000000000000000020816681712
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,426,4475,1533,0.001000000000000000020816681712,20,0.9989999999999999991118215803
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,430,4258,1096,0.001000000000000000020816681712,4,0.001000000000000000020816681712
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,573,4168,739,0.001000000000000000020816681712,4,0.9989999999999999991118215803
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.44000000000000000222044604925,2176,3550,151,0.001000000000000000020816681712,1,0.001000000000000000020816681712
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,755,4158,478,0.001000000000000000020816681712,1,0.9989999999999999991118215803
470,470_0,RUNNING,BoTorch,GenerationStep_1,,,1774,1,10,1,0.001000000000000000020816681712
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,596,5000,2429,10,6,0.001000000000000000020816681712
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,623,1340,385,0.001000000000000000020816681712,6,0.001000000000000000020816681712
473,473_0,RUNNING,BoTorch,GenerationStep_1,,,1707,63,0.001000000000000000020816681712,1,0.9989999999999999991118215803
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.390000000000000013322676295502,1143,4486,300,0.001000000000000000020816681712,13,0.9989999999999999991118215803
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.400000000000000022204460492503,1302,4816,259,0.001000000000000000020816681712,12,0.001000000000000000020816681712
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,494,4227,858,0.001000000000000000020816681712,1,0.9989999999999999991118215803
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,377,3956,2646,10,1,0.9989999999999999991118215803
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,608,1322,409,0.001000000000000000020816681712,14,0.9989999999999999991118215803
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,416,1465,1282,0.001000000000000000020816681712,4,0.9989999999999999991118215803
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,2749,4332,1557,10,14,0.001000000000000000020816681712
481,481_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,476,4188,1641,0.001000000000000000020816681712,20,0.9989999999999999991118215803
482,482_0,FAILED,BoTorch,GenerationStep_1,,,4270,1613,10,20,0.001000000000000000020816681712
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,436,4218,1542,0.001000000000000000020816681712,12,0.9989999999999999991118215803
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,428,4222,1658,0.001000000000000000020816681712,1,0.001000000000000000020816681712
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,501,4270,1486,0.001000000000000000020816681712,15,0.001000000000000000020816681712
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.30999999999999999777955395075,659,4104,604,0.001000000000000000020816681712,20,0.9989999999999999991118215803
487,487_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,384,4631,3235,10,1,0.9989999999999999991118215803
488,488_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,395,4064,4460,10,6,0.001000000000000000020816681712
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.44000000000000000222044604925,2459,4640,178,0.001000000000000000020816681712,11,0.9989999999999999991118215803
490,490_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,393,4143,2715,0.001000000000000000020816681712,18,0.001000000000000000020816681712
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,1494,4332,1552,10,9,0.9989999999999999991118215803
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,423,4269,1618,0.001000000000000000020816681712,16,0.9989999999999999991118215803
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,490,1356,671,0.001000000000000000020816681712,20,0.9989999999999999991118215803
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,4012,5000,2808,10,20,0.9989999999999999991118215803
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.380000000000000004440892098501,1181,4560,292,0.001000000000000000020816681712,1,0.9989999999999999991118215803
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.30999999999999999777955395075,628,4089,625,0.001000000000000000020816681712,4,0.9989999999999999991118215803
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,627,5000,665,0.001000000000000000020816681712,20,0.001000000000000000020816681712
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,365,4567,3248,0.001000000000000000020816681712,1,0.001000000000000000020816681712
499,499_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,2938,1566,1558,10,16,0.9989999999999999991118215803
500,500_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,450,5000,2553,10,1,0.001000000000000000020816681712
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,554,5000,723,0.001000000000000000020816681712,1,0.001000000000000000020816681712
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,404,4928,2104,0.001000000000000000020816681712,1,0.001000000000000000020816681712
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,594,4130,647,10,3,0.001000000000000000020816681712
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,356,4075,2964,0.001000000000000000020816681712,1,0.9989999999999999991118215803
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,3961,4065,2689,10,20,0.9989999999999999991118215803
506,506_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,468,3846,4056,0.001000000000000000020816681712,15,0.001000000000000000020816681712
507,507_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,627,4112,572,0.001000000000000000020816681712,15,0.9989999999999999991118215803
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,1085,4429,1388,10,9,0.001000000000000000020816681712
509,509_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,3154,4593,159,0.001000000000000000020816681712,11,0.9989999999999999991118215803
510,510_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,466,4161,1220,6.385607046994638658077292348025,4,0.9989999999999999991118215803
511,511_0,COMPLETED,BoTorch,GenerationStep_1,0.25,492,4733,982,5.854767379734621357556534348987,1,0.001000000000000000020816681712
512,512_0,COMPLETED,BoTorch,GenerationStep_1,0.369999999999999995559107901499,953,4604,368,10,1,0.9989999999999999991118215803
513,513_0,COMPLETED,BoTorch,GenerationStep_1,0.390000000000000013322676295502,1036,4658,327,10,1,0.001000000000000000020816681712
514,514_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,495,4237,1079,10,3,0.9989999999999999991118215803
515,515_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,543,4930,646,10,1,0.001000000000000000020816681712
516,516_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,798,4158,422,5.21447029305359244233386561973,1,0.9989999999999999991118215803
517,517_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,422,4107,2764,0.001000000000000000020816681712,8,0.001000000000000000020816681712
518,518_0,COMPLETED,BoTorch,GenerationStep_1,0.410000000000000031086244689504,1366,4615,250,0.001000000000000000020816681712,6,0.9989999999999999991118215803
519,519_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,454,4367,1252,10,1,0.001000000000000000020816681712
520,520_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,561,5000,690,0.001000000000000000020816681712,13,0.001000000000000000020816681712
521,521_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,383,4175,1905,4.942004683813609133835598186124,1,0.001000000000000000020816681712
522,522_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,417,4391,1483,5.43229546920023054212833812926,1,0.001000000000000000020816681712
523,523_0,COMPLETED,BoTorch,GenerationStep_1,0.369999999999999995559107901499,952,4427,364,7.22057515155055540390094392933,4,0.001000000000000000020816681712
524,524_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,396,4239,1649,10,1,0.001000000000000000020816681712
525,525_0,COMPLETED,BoTorch,GenerationStep_1,0.429999999999999993338661852249,2090,4662,190,0.001000000000000000020816681712,6,0.9989999999999999991118215803
526,526_0,COMPLETED,BoTorch,GenerationStep_1,0.5,6054,1676,82,0.001000000000000000020816681712,1,0.9989999999999999991118215803
527,527_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,395,4025,2653,0.001000000000000000020816681712,9,0.001000000000000000020816681712
528,528_0,RUNNING,BoTorch,GenerationStep_1,,,1730,39,10,1,0.001000000000000000020816681712
529,529_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,481,4538,1181,6.489216669150794203346777067054,1,0.9989999999999999991118215803
530,530_0,COMPLETED,BoTorch,GenerationStep_1,0.369999999999999995559107901499,911,4232,363,4.516663067346301296822730364511,1,0.9989999999999999991118215803
531,531_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,605,1337,424,0.001000000000000000020816681712,20,0.9989999999999999991118215803
532,532_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,604,1339,405,6.871224371920274798242189717712,1,0.001000000000000000020816681712
533,533_0,FAILED,BoTorch,GenerationStep_1,,,1729,40,0.001000000000000000020816681712,1,0.9989999999999999991118215803
534,534_0,COMPLETED,BoTorch,GenerationStep_1,0.410000000000000031086244689504,1612,4632,234,0.001000000000000000020816681712,7,0.9989999999999999991118215803
535,535_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,935,4725,401,0.001000000000000000020816681712,20,0.9989999999999999991118215803
536,536_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,491,5000,895,6.097471222655910239041077147704,1,0.9989999999999999991118215803
537,537_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,708,4007,498,0.001000000000000000020816681712,20,0.001000000000000000020816681712
538,538_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,565,4144,667,0.001000000000000000020816681712,13,0.9989999999999999991118215803
539,539_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,540,4157,716,6.215541462202772926559646293754,1,0.9989999999999999991118215803
540,540_0,COMPLETED,BoTorch,GenerationStep_1,0.380000000000000004440892098501,1017,4600,332,0.001000000000000000020816681712,4,0.001000000000000000020816681712
541,541_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,403,5000,2266,10,3,0.001000000000000000020816681712
542,542_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,517,4898,1074,5.159902905310495668800285784528,4,0.001000000000000000020816681712
543,543_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,4275,4093,644,10,20,0.9989999999999999991118215803
544,544_0,COMPLETED,BoTorch,GenerationStep_1,0.44000000000000000222044604925,2823,4693,171,0.001000000000000000020816681712,9,0.001000000000000000020816681712
545,545_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,2469,3579,143,0.001000000000000000020816681712,8,0.001000000000000000020816681712
546,546_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,443,4730,1412,10,1,0.001000000000000000020816681712
547,547_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,391,4094,2201,10,1,0.9989999999999999991118215803
548,548_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,427,4740,1440,0.001000000000000000020816681712,6,0.001000000000000000020816681712
549,549_0,COMPLETED,BoTorch,GenerationStep_1,0.390000000000000013322676295502,685,608,147,0.001000000000000000020816681712,6,0.9989999999999999991118215803
550,550_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,2879,4671,154,0.001000000000000000020816681712,8,0.001000000000000000020816681712
551,551_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,516,4404,1410,0.001000000000000000020816681712,11,0.9989999999999999991118215803
552,552_0,COMPLETED,BoTorch,GenerationStep_1,0.390000000000000013322676295502,1199,4671,305,0.001000000000000000020816681712,1,0.001000000000000000020816681712
553,553_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,400,4187,1768,0.001000000000000000020816681712,3,0.9989999999999999991118215803
554,554_0,COMPLETED,BoTorch,GenerationStep_1,0.419999999999999984456877655248,1995,4687,210,0.001000000000000000020816681712,8,0.001000000000000000020816681712
555,555_0,COMPLETED,BoTorch,GenerationStep_1,0.390000000000000013322676295502,1240,4652,284,10,1,0.001000000000000000020816681712
556,556_0,COMPLETED,BoTorch,GenerationStep_1,0.460000000000000019984014443253,2962,1622,124,0.001000000000000000020816681712,9,0.001000000000000000020816681712
557,557_0,COMPLETED,BoTorch,GenerationStep_1,0.400000000000000022204460492503,1405,4627,277,0.001000000000000000020816681712,5,0.9989999999999999991118215803
558,558_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,502,1461,1269,10,4,0.9989999999999999991118215803
559,559_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,405,4187,1859,10,1,0.001000000000000000020816681712
560,560_0,COMPLETED,BoTorch,GenerationStep_1,0.380000000000000004440892098501,714,585,169,0.001000000000000000020816681712,10,0.001000000000000000020816681712
561,561_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,415,4774,1270,2.308968873076584049641724050161,3,0.9989999999999999991118215803
562,562_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,476,4849,1452,0.001000000000000000020816681712,7,0.9989999999999999991118215803
563,563_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,587,5000,808,4.917820610083301069437311525689,4,0.001000000000000000020816681712
564,564_0,COMPLETED,BoTorch,GenerationStep_1,0.479999999999999982236431605997,4211,1646,101,10,1,0.001000000000000000020816681712
565,565_0,COMPLETED,BoTorch,GenerationStep_1,0.450000000000000011102230246252,1221,572,79,0.001000000000000000020816681712,1,0.001000000000000000020816681712
566,566_0,COMPLETED,BoTorch,GenerationStep_1,0.489999999999999991118215802999,4841,1673,91,10,11,0.9989999999999999991118215803
567,567_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,569,4147,1678,5.1766901363817927617105851823,4,0.001000000000000000020816681712
568,568_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,1087,159,3549,9.151604385018348608582527958788,8,0.980200996279716463277509319596
569,569_0,RUNNING,Sobol,SOBOL,,,3615,1715,2.683960080489516286661455524154,14,0.043774059182032941384132840312
570,570_0,COMPLETED,Sobol,SOBOL,0.110000000000000000555111512313,436,4404,4191,5.338760564874858616235542285722,5,0.293761531172320233817885082317
571,571_0,RUNNING,Sobol,SOBOL,,,1570,1034,1.499666113110259102469967729121,16,0.729238790366798617093024859059
572,572_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1557,2149,4973,3.79366063257865615554464966408,20,0.578042630910873378446979131695
573,573_0,RUNNING,Sobol,SOBOL,,,4314,566,8.122398952059446841644785308745,1,0.397932780848816058938410833434
574,574_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,455,2592,3081,0.155477815527468921086295949863,13,0.142097660044208179419555904133
575,575_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,961,1046,2497,6.758721139723435911150772881228,9,0.834852517239749403188397991471
576,576_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,601,897,3946,0.858587845993228349072978744516,2,0.100698850221931937576336224538
577,577_0,FAILED,Sobol,SOBOL,,,3063,790,7.305482477462851065297400054988,19,0.906528922969475403625949638808
578,578_0,FAILED,Sobol,SOBOL,,,3842,3304,4.653046943369322008265953627415,10,0.662389464141800998753240037331
579,579_0,COMPLETED,Sobol,SOBOL,0.05999999999999999777955395075,3467,2298,1471,8.512891310312785009273284231313,12,0.34581282176077365875244140625
580,580_0,COMPLETED,Sobol,SOBOL,0.119999999999999995559107901499,3434,1411,2524,6.198146838416346504629927949281,15,0.463873452175408595987704529762
581,581_0,FAILED,Sobol,SOBOL,,,4866,1941,1.890158359616063599162316677393,6,0.528978743506595461276731384714
582,582_0,COMPLETED,Sobol,SOBOL,0.089999999999999996669330926125,1180,3153,4416,9.85471469485294093715310737025,18,0.775067413648590441965779973543
583,583_0,FAILED,Sobol,SOBOL,,,318,9,3.230721529976464889699627747177,4,0.216810254450887446298068539363
584,584_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,2888,480,4600,7.124512990885414787101126421476,12,0.689219826083630304758287365985
585,585_0,FAILED,Sobol,SOBOL,,,3314,179,0.96144170953612784202846341941,8,0.255811886733397830795411209692
586,586_0,FAILED,Sobol,SOBOL,,,4724,2664,8.303277541331015143555305257905,20,0.003875530598685145589749057038
587,587_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,388,1269,2075,4.784547324267216517057477176422,1,0.942130650315433748609450503864
588,588_0,COMPLETED,Sobol,SOBOL,0.05999999999999999777955395075,669,2448,3131,2.392751065851189018474087788491,4,0.872800488650798844680878119107
589,589_0,RUNNING,Sobol,SOBOL,,,3994,1292,5.773669904212468395598989445716,16,0.182118282483890642220458744305
590,590_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,641,2892,3817,3.743649579300545315874160223757,7,0.436003864804282770251120382454
591,591_0,RUNNING,Sobol,SOBOL,,,726,645,9.419899884616024010597357118968,13,0.617940453104674825013375993876
592,592_0,COMPLETED,Sobol,SOBOL,0.110000000000000000555111512313,2813,1197,2908,2.884458975689485615845342181274,17,0.321509411342442041892297766026
593,593_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,661,2743,2320,9.029221503969282025536813307554,3,0.639911721223965335170191792713
594,594_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,494,4143,4844,1.689750473469495695155728753889,15,0.882102340521290884112204366829
595,595_0,RUNNING,Sobol,SOBOL,,,1977,423,5.226789443602785745213168411283,6,0.078344086006283758516488546775
596,596_0,COMPLETED,Sobol,SOBOL,0.110000000000000000555111512313,483,1731,4373,7.60027706069685571321770112263,9,0.239286339212208987170527052513
597,597_0,FAILED,Sobol,SOBOL,,,4565,1202,4.23766690090671271917699414189,11,0.799372497094795075867068590014
598,598_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,557,3472,3687,6.265322275526822082269973179791,2,0.551334214111790066326079795545
599,599_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,3276,19,1849,0.570763291640207226507186533127,19,0.488299313362687836814757247339
600,600_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,919,126,4100,4.444644480396994445925429317867,13,0.826872959678992658361096346198
601,601_0,RUNNING,Sobol,SOBOL,,,3580,1007,8.718914221315644752507978409994,7,0.133756191235035654107932145962
602,602_0,RUNNING,Sobol,SOBOL,,,4673,3492,0.749622845108620872167648485629,16,0.390565571937710021011014305259
603,603_0,FAILED,Sobol,SOBOL,,,1838,1576,7.416794251040556673615355975926,5,0.571038285015150859358357138262
604,604_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,467,1948,3025,9.789097269785591137747360335197,1,0.737587627934292000553284651687
605,605_0,FAILED,Sobol,SOBOL,,,4114,2358,3.298719549990259292115979405935,20,0.301741319239139549335249057549
606,606_0,COMPLETED,Sobol,SOBOL,0.05999999999999999777955395075,520,2713,4883,5.956194227340631641709478572011,8,0.050779602222144601397779695162
607,607_0,FAILED,Sobol,SOBOL,,,1168,540,2.129763155021704879032995449961,12,0.987574653783813150020876037161
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,441,1613,2916,0.001000000000000000020816681712,6,0.9989999999999999991118215803
609,609_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1748,36,0.001000000000000000020816681712,1,0.001000000000000000020816681712
610,610_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4075,537,4.848004804458607708284034742974,1,0.9989999999999999991118215803
611,611_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4659,187,0.001000000000000000020816681712,8,0.001000000000000000020816681712
612,612_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4703,1602,5.12503697779314215665635856567,1,0.9989999999999999991118215803
613,613_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2185,3.509234283124743836168590860325,4,0.9989999999999999991118215803
614,614_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4131,880,10,1,0.9989999999999999991118215803
615,615_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4150,804,4.117614053147691244305406144122,1,0.001000000000000000020816681712
616,616_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4286,1181,0.143808737778814976771002420719,1,0.001000000000000000020816681712
617,617_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4059,533,10,1,0.001000000000000000020816681712
618,618_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1686,98,0.001000000000000000020816681712,1,0.9989999999999999991118215803
619,619_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1351,445,10,1,0.9989999999999999991118215803
620,620_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4717,1307,4.41171574615880590641836533905,1,0.001000000000000000020816681712
621,621_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4121,978,4.590135049968782965379432425834,3,0.9989999999999999991118215803
622,622_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1364,420,5.408806472384468655434375250479,4,0.9989999999999999991118215803
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,459,1858,3307,5.11822642164003926978921299451,1,0.9989999999999999991118215803
624,624_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4644,237,0.001000000000000000020816681712,10,0.001000000000000000020816681712
625,625_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4763,1786,10,1,0.9989999999999999991118215803
626,626_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4778,491,4.535125897282214602057592855999,1,0.001000000000000000020816681712
627,627_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4753,1588,0.001000000000000000020816681712,20,0.001000000000000000020816681712
628,628_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4683,1921,0.001000000000000000020816681712,2,0.9989999999999999991118215803
629,629_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1328,549,0.001000000000000000020816681712,15,0.001000000000000000020816681712
630,630_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1316,441,10,1,0.9989999999999999991118215803
631,631_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4707,1329,6.286884843007647383217317837989,1,0.9989999999999999991118215803
632,632_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4637,237,0.001000000000000000020816681712,11,0.001000000000000000020816681712
633,633_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4110,421,0.001000000000000000020816681712,20,0.001000000000000000020816681712
634,634_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,803,0.001000000000000000020816681712,7,0.9989999999999999991118215803
635,635_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4337,1668,10,1,0.9989999999999999991118215803
636,636_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4500,1758,4.16450043600488317707686292124,1,0.9989999999999999991118215803
637,637_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1330,496,5.237787459365660147625476383837,1,0.001000000000000000020816681712
638,638_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1764,15,0.001000000000000000020816681712,1,0.001000000000000000020816681712
639,639_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2571,0.001000000000000000020816681712,4,0.001000000000000000020816681712
640,640_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1337,769,4.514231341852815049264791014139,1,0.001000000000000000020816681712
641,641_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4130,759,0.001000000000000000020816681712,7,0.001000000000000000020816681712
642,642_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1373,944,10,3,0.9989999999999999991118215803
643,643_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4710,1797,10,1,0.9989999999999999991118215803
644,644_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4251,1241,4.045129184943521138961841643322,1,0.001000000000000000020816681712
645,645_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4247,324,0.001000000000000000020816681712,14,0.001000000000000000020816681712
646,646_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4484,1147,10,1,0.001000000000000000020816681712
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,391,5000,4339,0.001000000000000000020816681712,20,0.9989999999999999991118215803
648,648_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1406,319,0.001000000000000000020816681712,6,0.001000000000000000020816681712
649,649_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1340,628,4.053744358763787580812731903279,3,0.001000000000000000020816681712
650,650_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4900,2144,0.001000000000000000020816681712,4,0.001000000000000000020816681712
651,651_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1205,3.602766640907028694584823824698,4,0.001000000000000000020816681712
652,652_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4143,1119,5.206823016528652203760429983959,1,0.001000000000000000020816681712
653,653_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4021,2807,4.849460967914098752373774914304,1,0.001000000000000000020816681712
654,654_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1355,853,1.889668939049114371186988137197,1,0.001000000000000000020816681712
655,655_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1605,147,0.001000000000000000020816681712,6,0.9989999999999999991118215803
656,656_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4748,1509,0.001000000000000000020816681712,1,0.001000000000000000020816681712
657,657_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4628,1797,5.682993181470897603446701396024,1,0.9989999999999999991118215803
658,658_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1325,578,0.001000000000000000020816681712,14,0.001000000000000000020816681712
659,659_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1337,450,0.001000000000000000020816681712,16,0.001000000000000000020816681712
660,660_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1317,495,5.28957622997776155671090236865,1,0.001000000000000000020816681712
661,661_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1331,364,0.001000000000000000020816681712,14,0.001000000000000000020816681712
662,662_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4098,626,4.629548332710557545510710042436,1,0.001000000000000000020816681712
663,663_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1376,1011,0.001000000000000000020816681712,2,0.001000000000000000020816681712
664,664_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1363,421,10,1,0.9989999999999999991118215803
665,665_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1644,112,0.001000000000000000020816681712,1,0.9989999999999999991118215803
666,666_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1400,326,0.001000000000000000020816681712,7,0.001000000000000000020816681712
667,667_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4960,2209,5.862687448548898672129325859714,5,0.001000000000000000020816681712
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,1564,4470,318,0.001000000000000000020816681712,14,0.001000000000000000020816681712
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,573,3962,1798,0.001000000000000000020816681712,1,0.001000000000000000020816681712
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,694,5000,2351,2.796944463018191218139918419183,5,0.9989999999999999991118215803
671,671_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,545,4032,2045,0.001000000000000000020816681712,1,0.9989999999999999991118215803
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,621,1346,742,0.001000000000000000020816681712,8,0.9989999999999999991118215803
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,446,4004,2086,5.55796857849550995922527363291,1,0.001000000000000000020816681712
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,568,4845,3764,0.001000000000000000020816681712,20,0.001000000000000000020816681712
675,675_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1154,1403,344,4.581439833832588348627723462414,4,0.9989999999999999991118215803
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,552,732,310,0.001000000000000000020816681712,8,0.001000000000000000020816681712
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,1251,1429,270,0.001000000000000000020816681712,8,0.001000000000000000020816681712
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,437,1437,1153,4.045774258873697348803943896201,3,0.001000000000000000020816681712
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.410000000000000031086244689504,1920,1500,213,0.001000000000000000020816681712,8,0.001000000000000000020816681712
680,680_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.270000000000000017763568394003,637,5000,738,6.370483209982089611855826660758,1,0.001000000000000000020816681712
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,382,4001,2177,0.001000000000000000020816681712,4,0.9989999999999999991118215803
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.369999999999999995559107901499,796,1376,302,0.001000000000000000020816681712,8,0.001000000000000000020816681712
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,525,1362,974,10,2,0.9989999999999999991118215803
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.300000000000000044408920985006,879,4099,618,10,1,0.9989999999999999991118215803
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,785,1322,590,5.640700039569185975096843321808,1,0.001000000000000000020816681712
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,644,3952,2640,0.001000000000000000020816681712,1,0.9989999999999999991118215803
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,435,5000,4341,0.001000000000000000020816681712,1,0.001000000000000000020816681712
688,688_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,910,4049,685,0.001000000000000000020816681712,10,0.9989999999999999991118215803
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.19000000000000000222044604925,583,4722,1574,7.904423041435655328257325891173,1,0.001000000000000000020816681712
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,485,4863,1219,0.001000000000000000020816681712,3,0.001000000000000000020816681712
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,647,1310,449,10,1,0.001000000000000000020816681712
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,767,4075,440,0.001000000000000000020816681712,1,0.001000000000000000020816681712
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.409999999999999975575093458247,1221,1478,241,0.001000000000000000020816681712,8,0.9989999999999999991118215803
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,476,815,350,0.001000000000000000020816681712,5,0.001000000000000000020816681712
695,695_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.400000000000000022204460492503,1641,4625,286,0.001000000000000000020816681712,7,0.001000000000000000020816681712
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.409999999999999975575093458247,1644,4646,256,0.001000000000000000020816681712,7,0.001000000000000000020816681712
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,921,4334,441,0.001000000000000000020816681712,17,0.9989999999999999991118215803
698,698_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,538,1365,1051,2.034208975667152863309183885576,4,0.9989999999999999991118215803
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,442,4767,1560,0.001000000000000000020816681712,8,0.9989999999999999991118215803
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,551,4937,1161,10,3,0.9989999999999999991118215803
701,701_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,543,718,332,0.001000000000000000020816681712,11,0.9989999999999999991118215803
702,702_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1708,55,0.001000000000000000020816681712,1,0.001000000000000000020816681712
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,546,3978,2415,0.001000000000000000020816681712,6,0.001000000000000000020816681712
704,704_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.44000000000000000222044604925,3086,4684,177,0.001000000000000000020816681712,6,0.001000000000000000020816681712
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.270000000000000017763568394003,517,5000,795,4.141957888841301560489682742627,1,0.9989999999999999991118215803
706,706_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.25,547,4470,966,4.340280432932876131246757722693,4,0.001000000000000000020816681712
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,362,1673,3175,0.001000000000000000020816681712,3,0.001000000000000000020816681712
708,708_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1784,1,0.001000000000000000020816681712,1,0.9989999999999999991118215803
709,709_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,410,5000,1852,2.883628660893008177623642040999,1,0.9989999999999999991118215803
710,710_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,798,1354,442,10,3,0.9989999999999999991118215803
711,711_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,400,4878,2088,10,1,0.9989999999999999991118215803
712,712_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,447,4774,1265,4.270270389879772920949108083732,2,0.001000000000000000020816681712
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,449,4132,1370,7.035217924417747958898416982265,1,0.001000000000000000020816681712
714,714_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,413,3982,2695,0.001000000000000000020816681712,7,0.9989999999999999991118215803
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,526,4941,1197,5.359734503165120678147559374338,3,0.001000000000000000020816681712
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,589,5000,833,2.870831975311888051294317847351,4,0.9989999999999999991118215803
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,433,1349,965,10,1,0.9989999999999999991118215803
718,718_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,532,4520,1387,1.627544494135195529693760363443,4,0.001000000000000000020816681712
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.390000000000000013322676295502,1322,4638,278,0.001000000000000000020816681712,14,0.9989999999999999991118215803
720,720_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.369999999999999995559107901499,1009,1425,291,0.001000000000000000020816681712,11,0.9989999999999999991118215803
721,721_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,516,621,331,0.001000000000000000020816681712,14,0.001000000000000000020816681712
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,692,5000,3314,6.726413562673777768452509917552,5,0.9989999999999999991118215803
723,723_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,661,5000,3117,10,7,0.9989999999999999991118215803
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.390000000000000013322676295502,1276,4666,317,4.645363617725224436583175702253,1,0.001000000000000000020816681712
725,725_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,1414,1538,195,0.001000000000000000020816681712,9,0.9989999999999999991118215803
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,764,1373,322,0.001000000000000000020816681712,5,0.9989999999999999991118215803
727,727_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,652,4008,2147,10,5,0.9989999999999999991118215803
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.429999999999999993338661852249,2097,4692,194,0.001000000000000000020816681712,10,0.001000000000000000020816681712
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.270000000000000017763568394003,527,5000,880,0.001000000000000000020816681712,1,0.001000000000000000020816681712
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,524,5000,2843,0.001000000000000000020816681712,5,0.001000000000000000020816681712
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.19000000000000000222044604925,636,1487,1239,0.001000000000000000020816681712,1,0.9989999999999999991118215803
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,525,3429,1076,10,1,0.9989999999999999991118215803
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1074,4011,401,10,1,0.9989999999999999991118215803
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,382,1551,1864,10,1,0.9989999999999999991118215803
735,735_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,476,3892,2236,3.530665597415562295680047100177,5,0.001000000000000000020816681712
736,736_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.19000000000000000222044604925,626,1517,1380,10,1,0.9989999999999999991118215803
737,737_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,492,1554,1694,0.001000000000000000020816681712,1,0.9989999999999999991118215803
738,738_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,752,1249,556,0.001000000000000000020816681712,20,0.001000000000000000020816681712
739,739_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,371,5000,3755,0.001000000000000000020816681712,15,0.001000000000000000020816681712
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,659,4113,670,0.001000000000000000020816681712,7,0.001000000000000000020816681712
741,741_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,447,4918,1956,10,1,0.001000000000000000020816681712
742,742_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.369999999999999995559107901499,859,1381,334,0.001000000000000000020816681712,1,0.9989999999999999991118215803
743,708_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1784,1,0.001000000000000000020816681712,1,0.9989999999999999991118215803
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.409999999999999975575093458247,1742,1496,226,0.001000000000000000020816681712,9,0.9989999999999999991118215803
745,745_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.270000000000000017763568394003,514,893,491,0.001000000000000000020816681712,17,0.9989999999999999991118215803
746,746_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.44000000000000000222044604925,1781,1559,171,0.001000000000000000020816681712,8,0.9989999999999999991118215803
747,747_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,715,1274,496,0.001000000000000000020816681712,1,0.9989999999999999991118215803
748,748_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1684,71,0.001000000000000000020816681712,1,0.9989999999999999991118215803
749,749_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1744,22,0.001000000000000000020816681712,1,0.9989999999999999991118215803
750,750_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,532,1509,1771,2.423077525311436275501364434604,1,0.001000000000000000020816681712
751,751_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1206,1195,341,0.001000000000000000020816681712,15,0.001000000000000000020816681712
752,752_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,607,5000,2469,7.396485748936410864473600668134,1,0.001000000000000000020816681712
753,753_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,439,4676,1878,0.001000000000000000020816681712,1,0.001000000000000000020816681712
754,754_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1866,87,0.001000000000000000020816681712,1,0.001000000000000000020816681712
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,421,1804,3375,0.001000000000000000020816681712,1,0.001000000000000000020816681712
756,756_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,356,5000,3632,0.001000000000000000020816681712,11,0.001000000000000000020816681712
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,614,4690,1251,0.001000000000000000020816681712,5,0.9989999999999999991118215803
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.429999999999999993338661852249,1692,1548,184,0.001000000000000000020816681712,8,0.9989999999999999991118215803
759,759_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,537,5000,4675,10,1,0.001000000000000000020816681712
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,366,5000,4579,0.001000000000000000020816681712,20,0.9989999999999999991118215803
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,584,4735,1613,0.001000000000000000020816681712,12,0.001000000000000000020816681712
762,762_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,2049,4670,219,0.001000000000000000020816681712,12,0.001000000000000000020816681712
763,763_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,392,3987,4449,2.060652561589746856185456636013,1,0.9989999999999999991118215803
764,764_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,351,3829,4076,10,1,0.9989999999999999991118215803
765,765_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,366,5000,4830,4.02790738204437825942250128719,1,0.9989999999999999991118215803
766,766_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,564,1660,4143,0.001000000000000000020816681712,6,0.9989999999999999991118215803
767,767_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,389,4603,2834,0.001000000000000000020816681712,1,0.9989999999999999991118215803
768,768_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,377,1906,3610,6.638922920236621116885089577409,1,0.9989999999999999991118215803
769,769_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,382,3987,2939,6.823357380034511976418798440136,1,0.9989999999999999991118215803
770,770_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,517,4764,2736,10,1,0.001000000000000000020816681712
771,771_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,571,5000,5000,10,9,0.9989999999999999991118215803
772,772_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,759,1383,1074,8.143055437791639761258011276368,4,0.001000000000000000020816681712
773,773_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,521,4761,2622,10,4,0.001000000000000000020816681712
774,774_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.390000000000000013322676295502,961,1473,258,0.001000000000000000020816681712,8,0.9989999999999999991118215803
775,775_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,555,1522,1496,0.001000000000000000020816681712,4,0.9989999999999999991118215803
776,776_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,384,4078,3789,0.001000000000000000020816681712,1,0.001000000000000000020816681712
777,777_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,379,1814,3389,0.001000000000000000020816681712,6,0.001000000000000000020816681712
778,778_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,686,1518,1781,7.706548758115078889829874242423,4,0.001000000000000000020816681712
779,779_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,441,762,2951,0.001000000000000000020816681712,10,0.9989999999999999991118215803
780,780_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,433,4840,1405,5.025827151016160065921667410294,3,0.9989999999999999991118215803
781,781_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,569,1310,825,10,3,0.001000000000000000020816681712
782,782_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,513,1661,3141,0.001000000000000000020816681712,7,0.9989999999999999991118215803
783,783_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,483,4712,2917,7.388247842906946694085945637198,6,0.9989999999999999991118215803
784,784_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,1777,1532,206,0.001000000000000000020816681712,7,0.9989999999999999991118215803
785,785_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,399,4777,2879,5.31809181294368116255100176204,4,0.001000000000000000020816681712
786,786_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,781,4108,724,10,1,0.9989999999999999991118215803
787,787_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,855,1241,669,4.963004850601259398956699442351,5,0.001000000000000000020816681712
788,788_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,6357,1860,88,0.001000000000000000020816681712,1,0.9989999999999999991118215803
789,789_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,4283,1836,133,0.001000000000000000020816681712,1,0.9989999999999999991118215803
790,790_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,5143,1852,107,0.001000000000000000020816681712,1,0.9989999999999999991118215803
791,791_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,3016,1827,147,0.001000000000000000020816681712,8,0.9989999999999999991118215803
792,792_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,2763,1817,160,0.001000000000000000020816681712,7,0.9989999999999999991118215803
793,793_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.25,457,5000,964,10,1,0.9989999999999999991118215803
794,794_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,1425,3365,179,0.001000000000000000020816681712,9,0.9989999999999999991118215803
795,795_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.110000000000000000555111512313,536,3852,3666,0.001000000000000000020816681712,1,0.9989999999999999991118215803
796,796_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,3909,1690,126,0.001000000000000000020816681712,9,0.9989999999999999991118215803
797,797_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,5282,1718,101,0.001000000000000000020816681712,9,0.9989999999999999991118215803
798,798_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,2390,1658,153,0.001000000000000000020816681712,10,0.9989999999999999991118215803
799,799_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,545,4830,1269,10,4,0.9989999999999999991118215803
800,800_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1096,1300,375,10,6,0.001000000000000000020816681712
801,801_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,454,4093,1894,0.001000000000000000020816681712,1,0.9989999999999999991118215803
802,802_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,434,1568,1729,5.771172784909024855437564838212,1,0.9989999999999999991118215803
803,803_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,480,5000,1052,0.001000000000000000020816681712,3,0.9989999999999999991118215803
804,804_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,5784,1723,91,0.001000000000000000020816681712,1,0.001000000000000000020816681712
805,805_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,707,1379,345,0.001000000000000000020816681712,5,0.001000000000000000020816681712
806,806_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,592,5000,1038,10,4,0.9989999999999999991118215803
807,807_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,1715,1610,191,0.001000000000000000020816681712,9,0.9989999999999999991118215803
808,808_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,535,5000,1234,4.377794805520392351638747641118,1,0.001000000000000000020816681712
809,809_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1751,73,0.001000000000000000020816681712,1,0.9989999999999999991118215803
810,810_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,562,4032,1967,10,3,0.001000000000000000020816681712
811,811_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,415,5000,2012,4.586051064806454746758390683681,3,0.001000000000000000020816681712
812,812_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1782,49,0.001000000000000000020816681712,20,0.9989999999999999991118215803
813,813_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,3082,1687,120,0.001000000000000000020816681712,10,0.9989999999999999991118215803
814,814_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.369999999999999995559107901499,833,1438,316,6.276888112279398690418474870967,1,0.001000000000000000020816681712
815,815_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.270000000000000017763568394003,743,1356,658,10,1,0.001000000000000000020816681712
816,816_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,495,3942,2879,10,1,0.001000000000000000020816681712
817,817_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,3199,1678,134,0.001000000000000000020816681712,11,0.9989999999999999991118215803
818,818_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,396,1539,1464,4.657236899333972779402301966911,1,0.9989999999999999991118215803
819,819_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,369,1617,3048,10,1,0.001000000000000000020816681712
820,820_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,643,4156,1713,7.436200953889945175490083784098,6,0.9989999999999999991118215803
821,821_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1727,88,0.001000000000000000020816681712,8,0.9989999999999999991118215803
822,822_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1775,50,0.001000000000000000020816681712,20,0.9989999999999999991118215803
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,519,4968,1041,10,1,0.001000000000000000020816681712
824,824_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,2975,1664,143,0.001000000000000000020816681712,10,0.9989999999999999991118215803
825,825_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,538,1371,902,0.001000000000000000020816681712,1,0.9989999999999999991118215803
826,826_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,946,4987,1172,5.772334330785705347466318926308,6,0.001000000000000000020816681712
827,827_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,593,4546,5000,10,9,0.001000000000000000020816681712
828,828_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,6982,1739,86,10,1,0.9989999999999999991118215803
829,829_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.409999999999999975575093458247,1450,4628,247,0.001000000000000000020816681712,11,0.001000000000000000020816681712
830,830_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1163,1371,382,3.61839110831143617730276673683,1,0.001000000000000000020816681712
831,831_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,514,4894,1081,5.11802070808655873435100147617,3,0.9989999999999999991118215803
832,832_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,582,1337,556,0.001000000000000000020816681712,11,0.9989999999999999991118215803
833,833_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1709,109,0.001000000000000000020816681712,8,0.9989999999999999991118215803
834,834_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4673,185,0.001000000000000000020816681712,15,0.001000000000000000020816681712
835,835_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4059,594,0.001000000000000000020816681712,1,0.9989999999999999991118215803</pre>
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<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'><img src='i/download.svg' style='height: 1em'> Download &raquo;results.csv&laquo; as file</button>
<script>
	createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>

<h1><img class='invert_icon' src='i/terminal.svg' style='height: 1em' />&nbsp;Errors</h1>
<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'><img src='i/download.svg' style='height: 1em'> Download &raquo;oo_errors.txt&laquo; as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white;">
⚠ Job 4778142 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4778142/4778142_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4778142/4778142_0_log.out
----------------------------------------
submitit INFO (2025-04-27 00:21:53,917) - Starting with JobEnvironment(job_id=4778142, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-27 00:21:53,921) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4778142/4778142_submitted.pkl
slurmstepd: error: *** JOB 4778142 ON i7180 CANCELLED AT 2025-04-27T02:21:52 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4778142/4778142_0_log.err not found


⚠ Job 4788831 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4788831/4788831_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4788831/4788831_0_log.out
----------------------------------------
submitit INFO (2025-04-27 12:04:58,505) - Starting with JobEnvironment(job_id=4788831, hostname=i7179, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-27 12:04:58,508) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4788831/4788831_submitted.pkl
slurmstepd: error: *** JOB 4788831 ON i7179 CANCELLED AT 2025-04-27T14:05:19 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4788831/4788831_0_log.err not found


⚠ Job 4789007 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4789007/4789007_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4789007/4789007_0_log.out
----------------------------------------
submitit INFO (2025-04-27 12:16:58,487) - Starting with JobEnvironment(job_id=4789007, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-27 12:16:58,490) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4789007/4789007_submitted.pkl
slurmstepd: error: *** JOB 4789007 ON i7184 CANCELLED AT 2025-04-27T14:17:19 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4789007/4789007_0_log.err not found


⚠ Job 4790082 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4790082/4790082_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4790082/4790082_0_log.out
----------------------------------------
submitit INFO (2025-04-27 13:31:39,192) - Starting with JobEnvironment(job_id=4790082, hostname=i7176, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-27 13:31:39,195) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4790082/4790082_submitted.pkl
slurmstepd: error: *** JOB 4790082 ON i7176 CANCELLED AT 2025-04-27T15:31:59 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4790082/4790082_0_log.err not found


⚠ Job 4814601 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4814601/4814601_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4814601/4814601_0_log.out
----------------------------------------
submitit INFO (2025-04-28 08:06:27,373) - Starting with JobEnvironment(job_id=4814601, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-28 08:06:27,377) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4814601/4814601_submitted.pkl
slurmstepd: error: *** JOB 4814601 ON i7180 CANCELLED AT 2025-04-28T10:06:33 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4814601/4814601_0_log.err not found


⚠ Job 4815659 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4815659/4815659_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4815659/4815659_0_log.out
----------------------------------------
submitit INFO (2025-04-28 09:16:33,341) - Starting with JobEnvironment(job_id=4815659, hostname=i7171, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-28 09:16:33,343) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4815659/4815659_submitted.pkl
slurmstepd: error: *** JOB 4815659 ON i7171 CANCELLED AT 2025-04-28T11:16:38 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4815659/4815659_0_log.err not found


⚠ Job 4818138 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4818138/4818138_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4818138/4818138_0_log.out
----------------------------------------
submitit INFO (2025-04-28 12:17:55,230) - Starting with JobEnvironment(job_id=4818138, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-28 12:17:55,233) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4818138/4818138_submitted.pkl
slurmstepd: error: *** JOB 4818138 ON i7186 CANCELLED AT 2025-04-28T14:18:19 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4818138/4818138_0_log.err not found


⚠ Job 4818392 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4818392/4818392_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4818392/4818392_0_log.out
----------------------------------------
submitit INFO (2025-04-28 12:37:55,595) - Starting with JobEnvironment(job_id=4818392, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-28 12:37:55,607) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4818392/4818392_submitted.pkl
slurmstepd: error: *** JOB 4818392 ON i7185 CANCELLED AT 2025-04-28T14:38:20 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/3/single_runs/4818392/4818392_0_log.err not found

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'><img src='i/download.svg' style='height: 1em'> Download &raquo;oo_errors.txt&laquo; as file</button>

<h1><img class='invert_icon' src='i/table.svg' style='height: 1em' />&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>50000                                                                                                                            </td></tr><tr><td> run_program</td><td>None                                                                                                                             </td></tr><tr><td> experiment_name</td><td>None                                                                                                                             </td></tr><tr><td> mem_gb</td><td>16                                                                                                                               </td></tr><tr><td> parameter</td><td>None                                                                                                                             </td></tr><tr><td> continue_previous_job</td><td>/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/BNDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/ </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                             </td></tr><tr><td> run_dir</td><td>runs                                                                                                                             </td></tr><tr><td> seed</td><td>None                                                                                                                             </td></tr><tr><td> decimalrounding</td><td>4                                                                                                                                </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                            </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                            </td></tr><tr><td> model</td><td>None                                                                                                                             </td></tr><tr><td> gridsearch</td><td>False                                                                                                                            </td></tr><tr><td> occ</td><td>False                                                                                                                            </td></tr><tr><td> show_sixel_scatter</td><td>False                                                                                                                            </td></tr><tr><td> show_sixel_general</td><td>False                                                                                                                            </td></tr><tr><td> show_sixel_trial_index_result</td><td>False                                                                                                                            </td></tr><tr><td> follow</td><td>False                                                                                                                            </td></tr><tr><td> send_anonymized_usage_stats</td><td>False                                                                                                                            </td></tr><tr><td> ui_url</td><td>None                                                                                                                             </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                                   </td></tr><tr><td> exclude</td><td>None                                                                                                                             </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                                </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                                </td></tr><tr><td> max_nr_of_zero_results</td><td>10                                                                                                                               </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                            </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                             </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                            </td></tr><tr><td> live_share</td><td>False                                                                                                                            </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                            </td></tr><tr><td> workdir</td><td>False                                                                                                                            </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                           </td></tr><tr><td> result_names</td><td>[&#039;RESULT=min&#039;]                                                                                                                   </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                                </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                             </td></tr><tr><td> generate_all_jobs_at_once</td><td>False                                                                                                                            </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                             </td></tr><tr><td> load_data_from_existing_jobs</td><td>[]                                                                                                                               </td></tr><tr><td> n_estimators_randomforest</td><td>100                                                                                                                              </td></tr><tr><td> external_generator</td><td>None                                                                                                                             </td></tr><tr><td> username</td><td>None                                                                                                                             </td></tr><tr><td> max_failed_jobs</td><td>None                                                                                                                             </td></tr><tr><td> num_parallel_jobs</td><td>20                                                                                                                               </td></tr><tr><td> worker_timeout</td><td>120                                                                                                                              </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                            </td></tr><tr><td> time</td><td></td></tr><tr><td> partition</td><td></td></tr><tr><td> reservation</td><td>None                                                                                                                             </td></tr><tr><td> force_local_execution</td><td>False                                                                                                                            </td></tr><tr><td> slurm_signal_delay_s</td><td>0                                                                                                                                </td></tr><tr><td> nodes_per_job</td><td>1                                                                                                                                </td></tr><tr><td> cpus_per_task</td><td>1                                                                                                                                </td></tr><tr><td> account</td><td>None                                                                                                                             </td></tr><tr><td> gpus</td><td>0                                                                                                                                </td></tr><tr><td> run_mode</td><td>local                                                                                                                            </td></tr><tr><td> verbose</td><td>False                                                                                                                            </td></tr><tr><td> verbose_break_run_search_table</td><td>False                                                                                                                            </td></tr><tr><td> debug</td><td>False                                                                                                                            </td></tr><tr><td> no_sleep</td><td>False                                                                                                                            </td></tr><tr><td> tests</td><td>False                                                                                                                            </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False                                                                                                                            </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False                                                                                                                            </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False                                                                                                                            </td></tr><tr><td> raise_in_eval</td><td>False                                                                                                                            </td></tr><tr><td> show_ram_every_n_seconds</td><td>False                                                                                                                            </td></tr></tbody></table>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' />&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")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'><img src='i/download.svg' style='height: 1em'> Download &raquo;worker_usage.csv&laquo; as file</button>
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1745815230.1848154,20,2,10
1745815256.1187449,20,2,10
1745815277.3063877,20,2,10
1745815298.778737,20,2,10
1745815319.8563993,20,2,10
1745815340.1009023,20,2,10
1745815361.931212,20,2,10
1745815382.707801,20,2,10
1745815403.489488,20,2,10
1745815423.5197022,20,2,10
1745815443.555807,20,2,10
1745815463.8483152,20,2,10
1745815483.7353392,20,2,10
1745815503.461323,20,2,10
1745815524.2852743,20,2,10
1745815545.5326252,20,2,10
1745815566.5727153,20,2,10
1745815588.2403748,20,2,10
1745815608.7572005,20,2,10
1745815629.2579095,20,2,10
1745815650.859132,20,2,10
1745815672.1623816,20,2,10
1745815693.1633656,20,2,10
1745815714.7132645,20,2,10
1745815736.569069,20,2,10
1745815757.714973,20,2,10
1745815779.6096559,20,2,10
1745815801.0760782,20,2,10
1745815822.5494864,20,2,10
1745815844.8189993,20,2,10
1745815865.7438574,20,2,10
1745815888.4015799,20,2,10
1745815909.924588,20,2,10
1745815929.8309574,20,2,10
1745815950.6810136,20,2,10
1745815972.0057976,20,2,10
1745815993.0255153,20,2,10
1745816015.5794153,20,2,10
1745816036.4016757,20,2,10
1745816057.9226477,20,2,10
1745816079.4643898,20,2,10
1745816100.1282256,20,2,10
1745816122.2922587,20,2,10
1745816142.5715725,20,2,10
1745816163.2260246,20,2,10
1745816185.099145,20,2,10
1745816206.0193846,20,2,10
1745816227.8893442,20,2,10
1745816248.9876716,20,2,10
1745816272.1650977,20,2,10
1745816293.8112555,20,2,10
1745816317.201826,20,2,10
1745816327.9131749,20,2,10
1745816340.1319067,20,1,5
1745816340.3515825,20,1,5
1745816356.0111377,20,1,5
1745816371.1115494,20,1,5
1745816387.421866,20,1,5
1745816402.6718729,20,1,5
1745816419.6601257,20,1,5
1745816436.2178802,20,1,5
1745816452.6946876,20,1,5
1745816469.1361217,20,1,5
1745816484.555029,20,1,5
1745816500.163874,20,1,5
1745816515.0549605,20,1,5
1745816531.0036216,20,1,5
1745816546.820562,20,1,5
1745816563.496112,20,1,5
1745816579.3769934,20,1,5
1745816596.3890846,20,1,5
1745816612.0481508,20,1,5
1745816628.5763407,20,1,5
1745816643.8996267,20,1,5
1745816660.6420221,20,1,5
1745816676.382758,20,1,5
1745816692.2239137,20,1,5
1745816709.1251261,20,1,5
1745816724.8539157,20,1,5
1745816741.7621324,20,1,5
1745816757.237177,20,1,5
1745816772.9486058,20,1,5
1745816789.6257021,20,1,5
1745816805.808899,20,1,5
1745816822.0239236,20,1,5
1745816837.4430602,20,1,5
1745816852.8074102,20,1,5
1745816870.4961064,20,1,5
1745816885.942376,20,1,5
1745816900.940842,20,1,5
1745816916.834826,20,1,5
1745816931.880064,20,1,5
1745816947.8662515,20,1,5
1745816963.8251948,20,1,5
1745816978.7240558,20,1,5
1745816993.581225,20,1,5
1745817010.5291684,20,1,5
1745817025.1724198,20,1,5
1745817040.2127888,20,1,5
1745817056.3960679,20,1,5
1745817071.751968,20,1,5
1745817087.4117208,20,1,5
1745817104.2594619,20,1,5
1745817120.6200635,20,1,5
1745817136.2007272,20,1,5
1745817153.4960752,20,1,5
1745817169.2437809,20,1,5
1745817185.1449752,20,1,5
1745817200.9849348,20,1,5
1745817218.2800643,20,1,5
1745817234.3217535,20,1,5
1745817250.4264328,20,1,5
1745817266.819753,20,1,5
1745817283.9529777,20,1,5
1745817300.1288784,20,1,5
1745817315.217367,20,1,5
1745817330.6027195,20,1,5
1745817349.80658,20,1,5
1745817366.2737627,20,1,5
1745817372.4629178,20,1,5
1745817384.0126605,20,0,0
1745817404.19444,20,0,0
1745818879.1667223,20,0,0
1745818879.6601188,20,0,0
1745818881.409998,20,1,5
1745818892.7879727,20,1,5
1745820375.5184653,20,1,5
1745820376.2505133,20,1,5
1745820378.2360313,20,2,10
1745820379.43796,20,2,10
1745820397.4148903,20,1,5
1745820397.906612,20,1,5
1745821876.2066705,20,1,5
1745821876.7152953,20,1,5
1745821878.3119593,20,2,10
1745821893.858138,20,2,10
1745823229.347525,20,2,10
1745823230.0889146,20,2,10
1745823231.6468682,20,3,15
1745823237.8267071,20,3,15
1745823252.822138,20,2,10
1745823253.0005326,20,2,10
1745824588.138788,20,2,10
1745824589.6368284,20,2,10
1745824591.2460523,20,3,15
1745824597.890272,20,3,15
1745824614.5984206,20,2,10
1745824614.713542,20,2,10
1745825822.8275156,20,2,10
1745825823.274401,20,2,10
1745825825.0874248,20,3,15
1745825844.8623042,20,3,15
1745827045.4321923,20,3,15
1745827046.0825086,20,3,15
1745827047.5407665,20,4,20
1745827071.8961678,20,4,20
1745828061.536482,20,4,20
1745828062.113397,20,4,20
1745828063.6574776,20,5,25
1745828079.3311193,20,5,25
1745828097.0897553,20,4,20
1745828113.7989843,20,3,15
1745828113.91232,20,3,15
1745829529.751904,20,3,15
1745829530.2188246,20,3,15
1745829531.9145977,20,4,20
1745829538.2385454,20,4,20
1745829545.7315462,20,3,15
1745829561.014347,20,2,10
1745829561.1951013,20,2,10
1745830690.903126,20,2,10
1745830691.3757744,20,2,10
1745830693.2765791,20,3,15
1745830699.7918189,20,3,15
1745830715.413842,20,2,10
1745830715.8192413,20,2,10
1745831862.269019,20,2,10
1745831862.670084,20,2,10
1745831864.238449,20,3,15
1745831880.0054965,20,3,15
1745831901.3035011,20,2,10
1745831901.5035927,20,2,10
1745832854.4086795,20,2,10
1745832855.069472,20,2,10
1745832856.6169636,20,3,15
1745832861.899493,20,3,15
1745832878.6431794,20,2,10
1745832878.7452846,20,2,10
1745834147.7123811,20,2,10
1745834148.1991665,20,2,10
1745834149.943428,20,3,15
1745834151.1590672,20,3,15
1745834159.3624642,20,2,10
1745834176.999858,20,1,5
1745834177.2388885,20,1,5
1745835456.6250968,20,1,5
1745835457.1698787,20,1,5
1745835458.8504937,20,2,10
1745835460.0380888,20,2,10
1745835476.7380772,20,1,5
1745835476.8650498,20,1,5
1745836655.6458318,20,1,5
1745836656.2158687,20,1,5
1745836658.052452,20,2,10
1745836674.3136847,20,2,10
1745837779.7480762,20,2,10
1745837780.279132,20,2,10
1745837782.2355788,20,3,15
1745837804.1798131,20,3,15
1745839242.527128,20,3,15
1745839243.3036535,20,3,15
1745839245.2869556,20,4,20
1745839257.4258718,20,4,20
1745839275.273349,20,3,15
1745839275.3773072,20,3,15
1745840646.0461807,20,3,15
1745840646.4292042,20,3,15
1745840648.1118522,20,4,20
1745840673.8198159,20,4,20
1745841748.5949726,20,4,20
1745841749.0287762,20,4,20
1745841750.4976656,20,5,25
1745841765.615761,20,5,25
1745841781.8101842,20,4,20
1745841781.969125,20,4,20
1745843283.057006,20,4,20
1745843283.9099004,20,4,20
1745843286.140677,20,5,25
1745843301.6683664,20,5,25
1745843313.6734664,20,4,20
1745843320.2589056,20,3,15
1745843334.9968433,20,2,10
1745843335.1449044,20,2,10
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'><img src='i/download.svg' style='height: 1em'> Download &raquo;worker_usage.csv&laquo; as file</button>

<h1><img class='invert_icon' src='i/cpu.svg' style='height: 1em' />&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")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'><img src='i/download.svg' style='height: 1em'> 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
1745684486,655.0703125,25.2
1745684486,655.07421875,25.7
1745684486,655.13671875,24.6
1745684486,655.13671875,23.9
1745684486,655.13671875,21.9
1745684486,655.13671875,27.5
1745684486,655.13671875,30.2
1745702152,914.765625,26.0
1745702152,914.765625,25.2
1745702152,914.765625,22.5
1745702152,914.765625,19.1
1745724097,1004.3359375,23.4
1745724097,1004.3359375,22.1
1745724097,1004.3359375,21.5
1745724097,1004.3359375,21.3
1745743059,1047.828125,23.6
1745743059,1047.828125,23.7
1745743060,1047.828125,22.6
1745743060,1047.828125,24.4
1745767074,1060.46484375,24.9
1745767074,1060.46484375,26.7
1745767074,1060.46484375,25.2
1745767074,1060.46484375,27.1
1745790840,1036.77734375,25.0
1745790840,1036.77734375,26.9
1745790840,1036.77734375,25.1
1745790840,1036.77734375,30.2
1745814636,1058.19140625,24.6
1745814636,1058.19140625,24.5
1745814636,1058.19140625,23.1
1745814636,1058.19140625,17.1
1745843350,1080.5234375,23.9
1745843350,1080.5234375,24.2
1745843350,1080.5234375,23.6
1745843350,1080.5234375,23.5
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'><img src='i/download.svg' style='height: 1em'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>

<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' />&nbsp;Param-Distrib by Status</h1>
<div class='invert_in_dark_mode' id='parameter_by_status_distribution'></div>
<h1><img class='invert_icon' src='i/insights.svg' style='height: 1em' />&nbsp;Insights</h1>
<h2>Visualization for result: <code>ACCURACY</code> (goal: <b>maximize</b>)</h2><p>Best value: <b>0.58</b><br />
Achieved at:<br />
- <code>RUNTIME</code> = 3788<br />
- <code>recent_samples_size</code> = 2012<br />
- <code>n_samples</code> = 1<br />
- <code>const</code> = 0.001<br />
- <code>max_depth</code> = 1<br />
- <code>threshold</code> = 0.999</p><div class="result_parameter_visualization" data-resname="ACCURACY"></div><h2>Visualization for result: <code>RUNTIME</code> (goal: <b>minimize</b>)</h2><p>Best value: <b>253</b><br />
Achieved at:<br />
- <code>ACCURACY</code> = 0.05<br />
- <code>recent_samples_size</code> = 1<br />
- <code>n_samples</code> = 3443<br />
- <code>const</code> = 10<br />
- <code>max_depth</code> = 2<br />
- <code>threshold</code> = 0.78717661679907</p><div class="result_parameter_visualization" data-resname="RUNTIME"></div><h2>Parameter statistics</h2><table border='1' cellpadding='5' cellspacing='0'><thead><tr><th>Parameter</th><th>Min</th><th>Max</th><th>Mean</th><th>Std Dev</th><th>Count</th></tr></thead><tbody><tr><td>generation_method</td><td colspan='5' style='text-align:center;'>No numerical statistics available</td></tr><tr><td>ACCURACY</td><td>0.03</td><td>0.58</td><td>0.243</td><td>0.1278</td><td>615</td></tr><tr><td>RUNTIME</td><td>253</td><td>7032</td><td>1071.5236</td><td>1193.863</td><td>615</td></tr><tr><td>recent_samples_size</td><td>1</td><td>5000</td><td>3230.4952</td><td>1487.6475</td><td>836</td></tr><tr><td>n_samples</td><td>1</td><td>5000</td><td>1307.7476</td><td>1432.5011</td><td>836</td></tr><tr><td>const</td><td>0.001</td><td>10</td><td>3.5352</td><td>4.2781</td><td>836</td></tr><tr><td>max_depth</td><td>1</td><td>20</td><td>6.7141</td><td>5.8963</td><td>836</td></tr><tr><td>threshold</td><td>0.001</td><td>0.999</td><td>0.493</td><td>0.4649</td><td>836</td></tr></tbody></table>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' />&nbsp;Parallel Plot</h1>
<input type="checkbox" id="enable_slurm_id_if_exists" onchange="createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names, true)" /> Show SLURM-Job-ID (if it exists)<br><div class="invert_in_dark_mode" id="parallel-plot"></div>
<h1><img class='invert_icon' src='i/scatter.svg' style='height: 1em' />&nbsp;Scatter-2D</h1>
<div class='invert_in_dark_mode' id='plotScatter2d'></div>
<h1><img class='invert_icon' src='i/scatter.svg' style='height: 1em' />&nbsp;Scatter-3D</h1>
<div class='invert_in_dark_mode' id='plotScatter3d'></div>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' />&nbsp;Job Status Distribution</h1>
<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' />&nbsp;Boxplots</h1>
<div class="invert_in_dark_mode" id="plotBoxplot"></div>
<h1><img class='invert_icon' src='i/violin.svg' style='height: 1em' />&nbsp;Violin</h1>
<div class="invert_in_dark_mode" id="plotViolin"></div>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' />&nbsp;Histogram</h1>
<div class="invert_in_dark_mode" id="plotHistogram"></div>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' />&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><img class='invert_icon' src='i/scatter.svg' style='height: 1em' />&nbsp;Result-Pairs</h1>
<div class="invert_in_dark_mode" id="plotResultPairs"></div>
<h1><img class='invert_icon' src='i/evolution.svg' style='height: 1em' />&nbsp;Evolution</h1>
<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
	</body>
</html>
Experiment overview:

Job Summary per Generation Node

Experiment parameters:

Number of evaluations

Result names and types

Git-Version

Arguments Overview:

Visualization for result: `ACCURACY` (goal: maximize)

Visualization for result: `RUNTIME` (goal: minimize)

Parameter statistics

Correlation Heatmap Explanation

How It Works

Color Scale: Yellow to Purple (Viridis)

What the Heatmap Shows

Experiment overview:

Job Summary per Generation Node

Experiment parameters:

Number of evaluations

Result names and types

Git-Version

Arguments Overview:

Visualization for result: ACCURACY (goal: maximize)

Visualization for result: RUNTIME (goal: minimize)

Parameter statistics

Correlation Heatmap Explanation

How It Works

Color Scale: Yellow to Purple (Viridis)

What the Heatmap Shows

Visualization for result: `ACCURACY` (goal: maximize)

Visualization for result: `RUNTIME` (goal: minimize)
