OmniOpt2

Setting	Value
Max. nr. evaluations	974
Number random steps	20
Nr. of workers (parameter)	20
Main process memory (GB)	8
Worker memory (GB)	1
Nr. imported jobs	474
Generation Node	Total	COMPLETED	FAILED	RUNNING
GenerationStep_0	30	30	0	0
GenerationStep_1	480	444	33	3
SOBOL	60	24	17	19
BOTORCH_MODULAR	34	3	29	2
Name	Type	Lower bound	Upper bound	Type	Log Scale?
recent_samples_size	int	1	5000	int	No
max_window_size	int	1	5000	int	No
min_window_size	int	1	5000	int	No
min_p_value	float	0.0001	0.999	float	No
Failed	Succeeded	Running	Total
79	501	24	604
name	min/max
ACCURACY	max
RUNTIME	min
Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	20
max_eval	None
run_program	None
experiment_name	None
mem_gb	1
parameter	None
continue_previous_job	/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0
experiment_constraints	None
run_dir	runs
seed	None
decimalrounding	4
enforce_sequential_optimization	False
verbose_tqdm	False
model	None
gridsearch	False
occ	False
show_sixel_scatter	False
show_sixel_general	False
show_sixel_trial_index_result	False
follow	False
send_anonymized_usage_stats	False
ui_url	None
root_venv_dir	/home/s4122485
exclude	None
main_process_gb	8
pareto_front_confidence	1
max_nr_of_zero_results	10
abbreviate_job_names	False
orchestrator_file	None
checkout_to_latest_tested_version	False
live_share	False
disable_tqdm	False
workdir	False
occ_type	euclid
result_names	['RESULT=min']
minkowski_p	2
signed_weighted_euclidean_weights
generation_strategy	None
generate_all_jobs_at_once	False
revert_to_random_when_seemingly_exhausted	True
load_data_from_existing_jobs	[]
n_estimators_randomforest	100
external_generator	None
username	None
max_failed_jobs	None
num_parallel_jobs	20
worker_timeout	30
slurm_use_srun	False
time
partition
reservation	None
force_local_execution	False
slurm_signal_delay_s	0
nodes_per_job	1
cpus_per_task	1
account	None
gpus	0
run_mode	local
verbose	False
verbose_break_run_search_table	False
debug	False
no_sleep	False
tests	False
show_worker_percentage_table_at_end	False
auto_exclude_defective_hosts	False
run_tests_that_fail_on_taurus	False
raise_in_eval	False
show_ram_every_n_seconds	False
Parameter	Min	Max	Mean	Std Dev	Count
generation_method	No numerical statistics available
ACCURACY	0.04	0.34	0.0768	0.0454	501
RUNTIME	89	5186	526.7685	714.7094	501
recent_samples_size	1	5000	2956.5662	1991.1977	604
max_window_size	1	5000	1967.7781	1453.0992	604
min_window_size	1	5000	2466.4238	1517.3546	604
min_p_value	0.0001	0.999	0.5184	0.445	604
Skipped tabs:
Job-Infos
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		<meta name='viewport' content='width=device-width, initial-scale=1.0'>
		<title>Exported &raquo;s4122485/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1&laquo; from OmniOpt2-Share</title>
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#refresh_button {
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._share_link {
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#footer_element {
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input:checked + .slider:before {
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input:checked + .slider .mode-text {
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#mainContent {
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}

li {
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}

#share_path {
	margin-bottom: 20px;
	margin-top: 20px;
}

#sortForm {
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}

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}

.nav_tab_button {
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.header_table {
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.no_border {
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}

.gui_table {
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}

.gui_parameter_row {
}

.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 {
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.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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];
var tab_main_worker_cpu_ram_csv_json = [
    [
        1744909333,
        647.83984375,
        16.4
    ],
    [
        1744909333,
        647.84375,
        60.8
    ],
    [
        1744909333,
        647.90234375,
        58.3
    ],
    [
        1744909333,
        647.90234375,
        50
    ],
    [
        1744909333,
        647.90234375,
        68.2
    ],
    [
        1744909333,
        647.90234375,
        47.7
    ],
    [
        1744909333,
        647.90234375,
        19.6
    ],
    [
        1744910111,
        721.078125,
        32.2
    ],
    [
        1744910111,
        721.078125,
        66.7
    ],
    [
        1744910111,
        721.078125,
        64.6
    ],
    [
        1744910111,
        721.078125,
        59.4
    ],
    [
        1744912882,
        765.6953125,
        42.8
    ],
    [
        1744912882,
        765.6953125,
        92
    ],
    [
        1744912882,
        765.6953125,
        76.4
    ],
    [
        1744912882,
        765.6953125,
        74
    ],
    [
        1744915685,
        769.9375,
        63.1
    ],
    [
        1744915685,
        769.9375,
        46.2
    ],
    [
        1744915685,
        769.9375,
        47.3
    ],
    [
        1744915685,
        769.9375,
        66
    ],
    [
        1745194321,
        1390.9765625,
        68.5
    ],
    [
        1745194321,
        1390.9765625,
        60.6
    ],
    [
        1745194321,
        1390.9765625,
        66.5
    ],
    [
        1745194321,
        1390.9765625,
        18.2
    ]
];
var tab_main_worker_cpu_ram_headers_json = [
    "timestamp",
    "ram_usage_mb",
    "cpu_usage_percent"
];

"use strict";

function add_default_layout_data (layout, no_height = 0) {
	layout["width"] = get_graph_width();
	if (!no_height) {
		layout["height"] = get_graph_height();
	}
	layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
	layout["plot_bgcolor"] = 'rgba(0,0,0,0)';

	return layout;
}

function get_marker_size() {
	return 12;
}

function get_text_color() {
	return theme == "dark" ? "white" : "black";
}

function get_font_size() {
	return 14;
}

function get_graph_height() {
	return 800;
}

function get_font_data() {
	return {
		size: get_font_size(),
		color: get_text_color()
	}
}

function get_axis_title_data(name, axis_type = "") {
	if(axis_type) {
		return {
			text: name,
			type: axis_type,
			font: get_font_data()
		};
	}

	return {
		text: name,
		font: get_font_data()
	};
}

function get_graph_width() {
	var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
	return Math.max(800, Math.floor(width * 0.9));
}

function createTable(data, headers, table_name) {
	if (!$("#" + table_name).length) {
		console.error("#" + table_name + " not found");
		return;
	}

	new gridjs.Grid({
		columns: headers,
		data: data,
		search: true,
		sort: true,
		ellipsis: false
	}).render(document.getElementById(table_name));

	if (typeof apply_theme_based_on_system_preferences === 'function') {
		apply_theme_based_on_system_preferences();
	}

	colorize_table_entries();

	add_colorize_to_gridjs_table();
}

function download_as_file(id, filename) {
	var text = $("#" + id).text();
	var blob = new Blob([text], {
		type: "text/plain"
	});
	var link = document.createElement("a");
	link.href = URL.createObjectURL(blob);
	link.download = filename;
	document.body.appendChild(link);
	link.click();
	document.body.removeChild(link);
}

function copy_to_clipboard_from_id (id) {
	var text = $("#" + id).text();

	copy_to_clipboard(text);
}

function copy_to_clipboard(text) {
	if (!navigator.clipboard) {
		let textarea = document.createElement("textarea");
		textarea.value = text;
		document.body.appendChild(textarea);
		textarea.select();
		try {
			document.execCommand("copy");
		} catch (err) {
			console.error("Copy failed:", err);
		}
		document.body.removeChild(textarea);
		return;
	}

	navigator.clipboard.writeText(text).then(() => {
		console.log("Text copied to clipboard");
	}).catch(err => {
		console.error("Failed to copy text:", err);
	});
}

function filterNonEmptyRows(data) {
	var new_data = [];
	for (var row_idx = 0; row_idx <  data.length; row_idx++) {
		var line = data[row_idx];

		var line_has_empty_data = false;

		for (var col_idx = 0; col_idx < line.length; col_idx++) {
			var col_header_name = tab_results_headers_json[col_idx];
			var single_data_point = line[col_idx];

			if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
				line_has_empty_data = true;
				continue;
			}
		}

		if(!line_has_empty_data) {
			new_data.push(line);
		}
	}

	return new_data;
}

function make_text_in_parallel_plot_nicer() {
	$(".parcoords g > g > text").each(function() {
		if (theme == "dark") {
			$(this)
				.css("text-shadow", "unset")
				.css("font-size", "0.9em")
				.css("fill", "white")
				.css("stroke", "black")
				.css("stroke-width", "2px")
				.css("paint-order", "stroke fill");
		} else {
			$(this)
				.css("text-shadow", "unset")
				.css("font-size", "0.9em")
				.css("fill", "black")
				.css("stroke", "unset")
				.css("stroke-width", "unset")
				.css("paint-order", "stroke fill");
		}
	});
}

function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = [], 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>974   </td></tr><tr><td> Number random steps</td><td>20    </td></tr><tr><td> Nr. of workers (parameter)</td><td>20    </td></tr><tr><td> Main process memory (GB)</td><td>8     </td></tr><tr><td> Worker memory (GB)</td><td>1     </td></tr><tr><td> Nr. imported jobs</td><td>474   </td></tr></tbody></table><h2>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>480</td><td>444</td><td>33</td><td>3</td></tr>
<tr><td>SOBOL</td><td>60</td><td>24</td><td>17</td><td>19</td></tr>
<tr><td>BOTORCH_MODULAR</td><td>34</td><td>3</td><td>29</td><td>2</td></tr>
</tbody></table>
<h2>Experiment parameters:                             </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>int</td><td>1</td><td>5000</td><td>int</td><td>No         </td></tr><tr><td> max_window_size</td><td>int</td><td>1</td><td>5000</td><td>int</td><td>No         </td></tr><tr><td> min_window_size</td><td>int</td><td>1</td><td>5000</td><td>int</td><td>No         </td></tr><tr><td> min_p_value</td><td>float</td><td>0.0001</td><td>0.999</td><td>float</td><td>No         </td></tr></tbody></table><h2>Number of evaluations</h2>
<table>
<tbody>
<tr>
<th>Failed</th>
<th>Succeeded</th>
<th>Running</th>
<th>Total</th>
</tr>
<tr>
<td>79</td>
<td>501</td>
<td>24</td>
<td>604</td>
</tr>
</tbody>
</table>
<h2>Result names and types</h2>
<table>
<tr><th>name</th><th>min/max</th></tr>
<tr>
<td>ACCURACY</td>
<td>max</td>
</tr>
<tr>
<td>RUNTIME</td>
<td>min</td>
</tr>
</table>
<br>
<h2>Git-Version</h2>
<tt>Commit: 2223ae6553abdd3e288f4b391080b763a7a48477
</tt>
<h1><img class='invert_icon' src='i/csv.svg' style='height: 1em' />&nbsp;Results</h1>
<div id='tab_results_csv_table'></div>
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<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,max_window_size,min_window_size,min_p_value
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,954,2900,3772,2583,0.966246778267621952984711697354
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,94,1544,431,478,0.350661487725842713203405764943
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,91,1021,3439,4460,0.695608384421281478182663704501
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,93,4673,2014,2346,0.111117303811293102744350846933
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.070000000000000006661338147751,708,3888,2781,1215,0.230831102358084155889983435372
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,101,556,1744,3172,0.583159306219033890528180563706
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,574,2017,4986,1842,0.493785576084721844480895924789
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,95,3678,788,3791,0.814775772367417827624080928217
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.070000000000000006661338147751,618,3269,3294,1297,0.511594097165390837567144899367
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,93,2426,2495,4340,0.17706900098035111001948394005
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,779,145,4253,665,0.77540206732023508884310558642
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,98,4299,287,3717,0.40978283562725409394644771055
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,93,4769,4530,4853,0.310990593362506451136084706377
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,94,925,957,1958,0.881459029929526183266830230423
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,98,1644,2949,2971,0.039254845902416860004002785445
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.070000000000000006661338147751,633,2802,1287,85,0.641061349586769968489363691333
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,92,2585,2970,4174,0.449967642487026753261858402766
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.270000000000000017763568394003,3170,1859,1545,1444,0.862527992531564091649443071219
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,1162,711,4554,3550,0.214446927237883194772294359609
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,1274,4983,1212,812,0.595670162790361779059367108857
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,650,4202,4205,2183,0.749034496539179195373492348153
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,91,241,7,4765,0.069307560110464697111787302219
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,679,2327,3249,310,0.976871366092469495256978007092
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,93,3368,2213,2884,0.328237612546421586579015183815
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,566,3584,4722,390,0.030459227902255952419308115964
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,91,2111,755,2808,0.661656128420960110148030253185
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,2101,455,2514,2258,0.259149705519527207009389258019
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.05999999999999999777955395075,98,3989,1714,4685,0.921683660991210462753997489926
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.100000000000000005551115123126,1721,4454,3731,3319,0.794103082926291947707397866907
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.070000000000000006661338147751,703,1240,2069,1049,0.394955250205844654587394870759
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,2001,5000,1660,1482,0.871551012911492284374048722384
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,2201,5000,1856,1668,0.887906498600714133573319486459
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,1,1332,1356,0.850801958663645718772272630304
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,1,1134,1180,0.851326024753131460620636516978
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,5000,1952,2160,0.92369417024722000331138360707
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3363,1,1526,1429,0.861670041406915943049682482524
36,36_0,RUNNING,BoTorch,GenerationStep_1,,,5000,1493,1470,0.865370507122261822807729458873
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,708,3242,3350,0.732045248397714121146861998568
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,112,5000,1316,1883,0.890713152414313591442862616532
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,3447,2019,3549,0.000100000000000000004792173602
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,683,5000,1748,905,0.925231475309708506493677759863
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,3288,2203,3760,0.998873929377623537284591748175
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,2169,1,1824,1650,0.937575018525450443185320636985
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,1517,1,1700,1460,0.907704730350879729350310753944
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,5000,1240,2353,0.89739041320673018642395390998
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,112,1,1932,2207,0.972098004583632380182223187148
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,5000,1736,1784,0.83180627317917932295188165881
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,100,3912,3030,3157,0.9989999999999999991118215803
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,5000,1809,2743,0.9989999999999999991118215803
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,995,784,1735,0.000100000000000000004792173602
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,1684,77,4539,0.9989999999999999991118215803
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,2707,427,4958,0.768297556400789227737391229311
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,653,5000,1974,877,0.9989999999999999991118215803
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,1637,853,1012,0.072093119210362432980332414445
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,1739,1659,4193,0.000100000000000000004792173602
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,1,1330,2135,0.870889224202953227127466107049
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,2660,1,859,778,0.9989999999999999991118215803
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,1827,1,1264,1106,0.886386477610909384594606308383
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.25,2838,3907,1535,1412,0.857479065068344925570897885336
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,100,534,2062,3265,0.9989999999999999991118215803
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,4035,2667,1502,1419,0.000100000000000000004792173602
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,2479,2291,1442,1313,0.000100000000000000004792173602
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,1711,4915,1881,1647,0.000100000000000000004792173602
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,5000,482,1993,0.9989999999999999991118215803
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,5000,852,892,0.000100000000000000004792173602
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,535,1,5000,3061,0.9989999999999999991118215803
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,3668,2677,1484,1401,0.9989999999999999991118215803
67,67_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,1918,0.000100000000000000004792173602
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,2641,2956,1624,1481,0.000100000000000000004792173602
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,1,3247,4834,0.9989999999999999991118215803
70,70_0,FAILED,BoTorch,GenerationStep_1,,,4180,1,2980,0.976411779392562739765537571657
71,71_0,FAILED,BoTorch,GenerationStep_1,,,1,1,3501,0.9989999999999999991118215803
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,3614,2493,1451,1367,0.000100000000000000004792173602
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,1584,1755,1547,1264,0.000100000000000000004792173602
74,74_0,FAILED,BoTorch,GenerationStep_1,,,1,5000,4977,0.911254248121438847896058632614
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2283,1351,5000,4605,0.375906795359057799288393653114
76,76_0,FAILED,BoTorch,GenerationStep_1,,,1,1,2985,0.9989999999999999991118215803
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,719,4920,4916,2912,0.444001758813926228341983915016
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5186,2753,1501,1441,0.340358652883835210989360575695
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2576,3106,5000,4633,0.000100000000000000004792173602
80,80_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,2549,0.000100000000000000004792173602
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,715,3815,5000,2962,0.9989999999999999991118215803
82,82_0,FAILED,BoTorch,GenerationStep_1,,,1,1,3977,0.9989999999999999991118215803
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,1773,4122,1831,1596,0.000100000000000000004792173602
84,84_0,FAILED,BoTorch,GenerationStep_1,,,5000,3900,3872,0.000100000000000000004792173602
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1022,5000,5000,3973,0.857091738707114414452803430322
86,86_0,FAILED,BoTorch,GenerationStep_1,,,330,1,3260,0.000100000000000000004792173602
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,338,1,5000,1240,0.000100000000000000004792173602
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,544,5000,5000,1829,0.000100000000000000004792173602
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,507,1,5000,2900,0.9989999999999999991118215803
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,675,3328,5000,1516,0.9989999999999999991118215803
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,752,2071,5000,1303,0.9989999999999999991118215803
92,92_0,FAILED,BoTorch,GenerationStep_1,,,3249,1,1570,0.9989999999999999991118215803
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,662,2552,5000,1355,0.9989999999999999991118215803
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,676,1730,5000,1255,0.9989999999999999991118215803
95,95_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,556,0.9989999999999999991118215803
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,554,5000,5000,614,0.9989999999999999991118215803
97,97_0,FAILED,BoTorch,GenerationStep_1,,,3035,1,1687,0.9989999999999999991118215803
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,477,5000,5000,1489,0.9989999999999999991118215803
99,99_0,FAILED,BoTorch,GenerationStep_1,,,1988,1,1257,0.9989999999999999991118215803
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,293,1,5000,1,0.9989999999999999991118215803
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,656,2676,5000,1407,0.9989999999999999991118215803
102,102_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,4284,0.000100000000000000004792173602
103,103_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1,0.000100000000000000004792173602
104,104_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,3115,0.000100000000000000004792173602
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1502,5000,5000,4335,0.9989999999999999991118215803
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,556,5000,5000,1339,0.9989999999999999991118215803
107,107_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,550,0.000100000000000000004792173602
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,313,1,5000,128,0.000100000000000000004792173602
109,109_0,FAILED,BoTorch,GenerationStep_1,,,3199,1,1602,0.100287914886905082934021038454
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,814,3099,3479,1505,0.9989999999999999991118215803
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,592,3692,5000,1585,0.9989999999999999991118215803
112,112_0,FAILED,BoTorch,GenerationStep_1,,,3328,1,3991,0.000100000000000000004792173602
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,919,5000,5000,3614,0.9989999999999999991118215803
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,713,2898,5000,1595,0.000100000000000000004792173602
115,115_0,FAILED,BoTorch,GenerationStep_1,,,3010,1,1738,0.210026284258734624588171868709
116,116_0,FAILED,BoTorch,GenerationStep_1,,,3118,1,1524,0.9989999999999999991118215803
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,1251,1,5000,4289,0.747093011489230240940173644049
118,118_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,4053,0.000100000000000000004792173602
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,1,228,4029,0.036025986765456409488539435415
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1447,2747,1618,1345,0.9989999999999999991118215803
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,3026,1225,1394,0.842072586091590080670243878558
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,1,1211,1390,0.9989999999999999991118215803
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,930,1676,1908,0.881634643424942798795029830217
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1235,2757,1645,1279,0.9989999999999999991118215803
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,103,1,1210,1523,0.9989999999999999991118215803
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1252,3146,1649,1205,0.9989999999999999991118215803
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,5000,1225,1368,0.587253240544906573994410337036
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,1007,4296,1726,1267,0.9989999999999999991118215803
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,2236,2754,1588,1410,0.9989999999999999991118215803
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,101,5000,1245,1325,0.9989999999999999991118215803
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,102,969,1204,1386,0.188658910253852868388335650707
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,948,4794,1913,1380,0.9989999999999999991118215803
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,102,5000,1121,1362,0.176735465490040599689791633864
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,4548,1246,1485,0.971536949247140846352976950584
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,1261,1728,1927,0.282031311195186651374910979939
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,1082,2430,1708,1166,0.098990402391181356311911088142
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,2293,1580,1713,0.9989999999999999991118215803
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,1529,1202,1649,0.768625552500153408352900896716
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1333,2861,1626,1309,0.9989999999999999991118215803
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,707,4993,1230,594,0.000100000000000000004792173602
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,987,4852,2017,1421,0.9989999999999999991118215803
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,102,1,1026,1412,0.645614934767511194912970040605
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,102,2017,1624,1908,0.053897674195409375763610171362
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,1427,1574,1842,0.9989999999999999991118215803
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,898,4842,2125,1461,0.9989999999999999991118215803
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,2003,1167,1394,0.9989999999999999991118215803
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,103,3117,1014,1317,0.974648951835172083768554784911
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,112,2843,1219,1427,0.247803034709483421815789938591
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,883,4569,1983,1353,0.276941712981364884793578085009
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,665,4556,1513,485,0.422061959643461714897227921028
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,4535,1509,2347,0.566347511050765639595283573726
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,104,4600,1514,4080,0.265061653381823636443925806816
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,524,4550,1520,1,0.000100000000000000004792173602
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,4518,1519,3119,0.149687906932061159936964145345
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,100,4440,1507,2770,0.9989999999999999991118215803
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,5000,1519,2622,0.038687426838529229145002830137
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,735,4625,1508,753,0.9989999999999999991118215803
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,4911,1525,4384,0.724386518461889172826317917497
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,105,4014,1520,2927,0.9989999999999999991118215803
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,5000,1538,3483,0.287879074488860020597513766916
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,593,5000,1514,272,0.745348368143541439856392116781
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,100,4390,1496,3682,0.42064870790286418289483094668
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,118,4575,1506,4846,0.894823271232089378912633037544
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,528,4058,1498,1,0.9989999999999999991118215803
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,4021,1509,4705,0.183291466860708907038457482486
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,4154,1509,2205,0.000100000000000000004792173602
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,112,5000,1542,3918,0.000100000000000000004792173602
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,104,3776,1516,4500,0.000100000000000000004792173602
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,5000,1513,3225,0.834952254428479201386892327719
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,4667,1515,5000,0.000100000000000000004792173602
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,5000,1507,2842,0.000100000000000000004792173602
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,4230,1496,4549,0.9989999999999999991118215803
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,90,4956,1483,3798,0.9989999999999999991118215803
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,818,4164,1516,674,0.061289039105174324129077234602
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,102,4321,1474,2487,0.000100000000000000004792173602
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,5000,1605,3435,0.000100000000000000004792173602
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,100,5000,1585,2768,0.000100000000000000004792173602
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,579,4257,1497,377,0.9989999999999999991118215803
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,5000,1616,2582,0.000100000000000000004792173602
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,2004,4286,1600,1420,0.9989999999999999991118215803
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,5000,927,1733,0.140815151923661507904483869424
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,5000,1022,1072,0.000100000000000000004792173602
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,1544,4367,1619,1321,0.9989999999999999991118215803
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,120,4155,3348,4631,0.835590270657197042858399527177
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,1,1645,4516,0.9989999999999999991118215803
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,4161,3195,4586,0.000100000000000000004792173602
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,100,3122,1123,1960,0.779497863411123370624977724219
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,958,4963,1311,646,0.9989999999999999991118215803
189,189_0,RUNNING,BoTorch,GenerationStep_1,,,4224,1640,1597,0.9989999999999999991118215803
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,101,2916,944,1697,0.117087821297968977529713185959
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,497,3847,1662,11,0.9989999999999999991118215803
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,5000,796,1957,0.9989999999999999991118215803
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,4809,3241,4473,0.9989999999999999991118215803
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,3416,697,1000,0.000100000000000000004792173602
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,3389,4241,1626,1526,0.9989999999999999991118215803
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,2732,713,1996,0.9989999999999999991118215803
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,100,937,1671,4957,0.000100000000000000004792173602
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,2369,1704,4453,0.9989999999999999991118215803
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,100,4131,1131,2074,0.000100000000000000004792173602
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,2636,1641,1571,1433,0.9989999999999999991118215803
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,3081,3436,4764,0.842140004038181233525506286242
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,4097,3274,4246,0.9989999999999999991118215803
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,105,4900,632,1702,0.601946648285267560396505359677
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,2533,620,2160,0.854789089273638835742019637109
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,1,3534,4729,0.9989999999999999991118215803
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,3689,3118,4649,0.000100000000000000004792173602
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,3156,1005,1008,0.000100000000000000004792173602
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,5000,3414,4822,0.000100000000000000004792173602
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,100,3946,689,2231,0.9989999999999999991118215803
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,1593,5000,2062,1762,0.000100000000000000004792173602
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,4438,1496,1677,0.9989999999999999991118215803
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,569,4986,1736,333,0.000100000000000000004792173602
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,667,5000,1122,429,0.000100000000000000004792173602
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,1632,5000,1649,1412,0.9989999999999999991118215803
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,392,1,1763,367,0.000100000000000000004792173602
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,813,5000,1543,976,0.000100000000000000004792173602
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,4389,3994,1549,1478,0.9989999999999999991118215803
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,5000,1616,1758,0.000100000000000000004792173602
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,90,5000,1471,1730,0.9989999999999999991118215803
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,1,1395,3410,0.9989999999999999991118215803
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,5000,3413,3501,0.000100000000000000004792173602
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,694,5000,927,300,0.000100000000000000004792173602
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,4326,1496,1626,0.9989999999999999991118215803
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,1506,2640,2149,1792,0.000100000000000000004792173602
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,1,1317,3572,0.9989999999999999991118215803
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,1,3769,4728,0.654344906459921715757843685424
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,1551,1247,3268,0.000100000000000000004792173602
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,90,1,2924,4654,0.062545342784970286986734322454
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,93,1,1297,2591,0.9989999999999999991118215803
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,5000,3031,4880,0.526265024806934378354128512001
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,101,225,3910,4588,0.9989999999999999991118215803
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,651,5000,1785,630,0.9989999999999999991118215803
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,720,2804,1030,398,0.000100000000000000004792173602
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,5000,1150,3225,0.000100000000000000004792173602
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,5000,2879,4568,0.089426528291954174298972191082
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,5000,2721,4662,0.000100000000000000004792173602
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,926,3544,2353,1628,0.000100000000000000004792173602
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,2873,3623,2078,1938,0.9989999999999999991118215803
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,1936,2868,4888,0.000100000000000000004792173602
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,2096,1411,1602,0.9989999999999999991118215803
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,1865,1398,1647,0.9989999999999999991118215803
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,5000,155,4685,0.791547048606153436089982733392
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,90,1,3081,4275,0.62731913609775935558587889318
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,104,3468,1198,3422,0.680059257622281809751996206614
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,811,4993,751,364,0.000100000000000000004792173602
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,2117,1434,1569,0.9989999999999999991118215803
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,104,2203,1435,1538,0.9989999999999999991118215803
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,765,4933,1062,219,0.000100000000000000004792173602
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,5000,3650,4608,0.924251688128676862632460142777
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,2198,170,3861,0.187806497660284510420325432278
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,105,4105,3954,4741,0.693801171806012861864587648597
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,1768,4305,1698,1479,0.000100000000000000004792173602
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,987,4446,593,336,0.468960758069964400718276920088
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,1,1785,3463,0.09288118849523047115823715103
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.25,1070,5000,645,408,0.9989999999999999991118215803
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,5000,2858,4086,0.287484534047454776128915909794
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,3311,1061,3398,0.9989999999999999991118215803
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,90,1,244,4655,0.9989999999999999991118215803
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,3426,3747,4503,0.14567115631667706954210927961
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,5000,87,3884,0.272735410545352496836102318412
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,2248,3053,4405,0.000100000000000000004792173602
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,704,4935,1295,420,0.000100000000000000004792173602
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,3430,1058,3553,0.000100000000000000004792173602
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,5000,939,3350,0.9989999999999999991118215803
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,90,1,936,3519,0.492033087617143982672729407568
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,776,1,585,287,0.000100000000000000004792173602
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,108,3385,3815,4427,0.000100000000000000004792173602
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,3822,338,4594,0.9989999999999999991118215803
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,3717,3870,4695,0.000100000000000000004792173602
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,2393,4876,569,481,0.000100000000000000004792173602
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,2134,4887,472,384,0.9989999999999999991118215803
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,791,4877,676,294,0.9989999999999999991118215803
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,102,4862,394,635,0.998946967827465726053048911126
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.25,1129,4816,627,410,0.000100000000000000004792173602
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,1,1698,2910,0.000100000000000000004792173602
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,1330,1703,3644,0.9989999999999999991118215803
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,800,4910,719,196,0.9989999999999999991118215803
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,4809,375,377,0.000100000000000000004792173602
279,279_0,FAILED,BoTorch,GenerationStep_1,,,4980,578,563,0.000100000000000000004792173602
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,3150,265,488,0.000100000000000000004792173602
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,1,849,2162,0.066830941857062398092637067748
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,646,4828,692,55,0.000100000000000000004792173602
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,5000,1913,3345,0.000100000000000000004792173602
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,100,2400,1774,2289,0.000100000000000000004792173602
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,956,1359,3881,0.9989999999999999991118215803
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,1,587,1858,0.000100000000000000004792173602
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,101,4280,263,375,0.9989999999999999991118215803
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,5000,2171,3410,0.9989999999999999991118215803
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,2115,1791,2490,0.77557378061553616799272958815
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,1080,5000,422,241,0.9989999999999999991118215803
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,5000,2234,3205,0.000100000000000000004792173602
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,1027,4939,637,363,0.9989999999999999991118215803
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,1,1918,2552,0.9989999999999999991118215803
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.25,1193,4942,709,480,0.000100000000000000004792173602
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,1188,2199,3585,0.163641812907764500062413048909
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,5000,285,582,0.000100000000000000004792173602
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,108,3220,151,451,0.000100000000000000004792173602
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,101,4490,505,554,0.9989999999999999991118215803
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,1457,4940,558,406,0.9989999999999999991118215803
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,772,5000,535,149,0.9989999999999999991118215803
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.179999999999999993338661852249,712,5000,386,66,0.9989999999999999991118215803
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,5000,3286,4981,0.9989999999999999991118215803
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,3058,1906,3051,0.000100000000000000004792173602
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,100,5000,381,3920,0.9989999999999999991118215803
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.170000000000000012212453270877,673,5000,499,74,0.9989999999999999991118215803
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,1350,5000,312,181,0.9989999999999999991118215803
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,1042,5000,252,64,0.9989999999999999991118215803
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,2317,2665,4440,0.9989999999999999991118215803
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,1,1979,2916,0.000100000000000000004792173602
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,614,4988,872,110,0.608855496369265281053628768859
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,1037,5000,769,444,0.9989999999999999991118215803
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,1,2318,2984,0.9989999999999999991118215803
313,313_0,FAILED,BoTorch,GenerationStep_1,,,492,1,361,0.000100000000000000004792173602
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,1,762,1531,0.000100000000000000004792173602
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,4984,1745,3991,0.000100000000000000004792173602
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1290,44,122,1,0.926648747808159756189638756041
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,5000,1244,3717,0.000100000000000000004792173602
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,89,1,1117,1811,0.9989999999999999991118215803
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,90,5000,762,2632,0.000100000000000000004792173602
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,1,1395,4249,0.9989999999999999991118215803
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,1,2377,3111,0.9989999999999999991118215803
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,1546,76,133,0.9989999999999999991118215803
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,3776,108,667,0.678605393486451213824750539061
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,90,1,2462,3206,0.9989999999999999991118215803
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,1,2425,2879,0.9989999999999999991118215803
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,2765,867,2615,0.000100000000000000004792173602
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,287,785,2525,0.000100000000000000004792173602
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,90,2254,3415,5000,0.9989999999999999991118215803
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,1,621,2648,0.000100000000000000004792173602
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,5000,40,257,0.9989999999999999991118215803
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,3682,322,4322,0.659584316757033661815512459725
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,699,4548,2356,1306,0.000100000000000000004792173602
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,630,5000,2440,1067,0.000100000000000000004792173602
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,3850,358,4204,0.000100000000000000004792173602
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,5000,2014,3904,0.344287532718931643671567144338
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,4405,2387,3834,0.9989999999999999991118215803
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,721,1158,2488,1268,0.000100000000000000004792173602
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,117,4677,2458,4043,0.000100000000000000004792173602
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,90,1,1892,3824,0.134578649777144343513413105029
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,3566,508,4312,0.9989999999999999991118215803
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,697,5000,2313,1182,0.9989999999999999991118215803
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,641,5000,4907,2645,0.9989999999999999991118215803
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,506,1,2399,989,0.9989999999999999991118215803
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,607,5000,2348,765,0.9989999999999999991118215803
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,100,1,940,3790,0.465883350057929079834906360702
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,1,413,2216,0.030020411946407005165937675883
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,715,5000,5000,2587,0.9989999999999999991118215803
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,378,1,2339,686,0.955900569375918052195117979863
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,4637,2586,3699,0.9989999999999999991118215803
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,5000,614,623,0.9989999999999999991118215803
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,5000,573,719,0.000100000000000000004792173602
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,1,211,2400,0.000100000000000000004792173602
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,114,5000,2600,3498,0.9989999999999999991118215803
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,5000,2654,3275,0.000100000000000000004792173602
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,445,1,2576,1051,0.000100000000000000004792173602
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,1,3338,4036,0.851043126457286969177573610068
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,5000,2627,3019,0.000100000000000000004792173602
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,3500,634,4292,0.000100000000000000004792173602
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,104,1,2673,3457,0.9989999999999999991118215803
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,5000,425,2463,0.00145231649192452275456965971
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,4841,1857,4371,0.000100000000000000004792173602
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,1,344,2584,0.9989999999999999991118215803
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,1,2609,3908,0.9989999999999999991118215803
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,1,496,4759,0.000100000000000000004792173602
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,5000,615,1437,0.000100000000000000004792173602
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,5000,537,4749,0.000100000000000000004792173602
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,1,3277,3606,0.9989999999999999991118215803
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,1,3453,3693,0.9989999999999999991118215803
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,4169,2613,4187,0.9989999999999999991118215803
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,1,581,1357,0.9989999999999999991118215803
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,101,1,605,4612,0.000100000000000000004792173602
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,5000,681,4791,0.9989999999999999991118215803
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,5000,173,185,0.9989999999999999991118215803
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,3293,3488,3804,0.000100000000000000004792173602
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,3529,808,3062,0.9989999999999999991118215803
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,3954,2679,3906,0.000100000000000000004792173602
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,4249,265,2608,0.9989999999999999991118215803
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,1,2241,3984,0.000100000000000000004792173602
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,90,1,386,2677,0.9989999999999999991118215803
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,5000,3179,3585,0.9989999999999999991118215803
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,104,3560,3285,3726,0.694001617859434372093119236524
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,5000,248,2194,0.9989999999999999991118215803
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,5000,618,4896,0.000100000000000000004792173602
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,4845,109,2222,0.9989999999999999991118215803
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,1,3148,3561,0.000100000000000000004792173602
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,5000,3057,3446,0.000100000000000000004792173602
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,5000,710,4642,0.832720167869223759637975490477
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,1,456,1399,0.9989999999999999991118215803
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,101,1,2638,4066,0.9989999999999999991118215803
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,1,12,3638,0.469798683963824348364113347998
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,2994,189,3476,0.814039296446794402584146155277
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,746,5000,443,1,0.000100000000000000004792173602
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,1532,167,5000,0.211565713912654357331533105935
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,5000,3555,4066,0.000100000000000000004792173602
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,5000,887,4448,0.000100000000000000004792173602
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,1,1286,5000,0.9989999999999999991118215803
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,857,5000,651,319,0.000100000000000000004792173602
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,102,3219,326,3344,0.908685261738280569687731258455
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,4712,561,3345,0.000100000000000000004792173602
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,90,1,1248,4811,0.12345890553256748389809871469
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,1,4070,5000,0.9989999999999999991118215803
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,5000,427,1113,0.000100000000000000004792173602
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,2869,473,3171,0.995469226009493834972374770587
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,1,82,2773,0.000100000000000000004792173602
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,2888,185,3288,0.9989999999999999991118215803
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,5000,37,2901,0.000100000000000000004792173602
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,4372,1191,4613,0.292710550320910589672251944648
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,5000,2975,3876,0.9989999999999999991118215803
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,1,893,4191,0.000100000000000000004792173602
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,99,1,1164,4704,0.000100000000000000004792173602
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,3964,120,3161,0.836884213523938935708201825037
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,5000,986,4076,0.000100000000000000004792173602
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,5000,1036,4326,0.000100000000000000004792173602
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,763,5000,566,223,0.000100000000000000004792173602
415,415_0,FAILED,BoTorch,GenerationStep_1,,,1,1,3299,0.000100000000000000004792173602
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,100,5000,269,3093,0.9989999999999999991118215803
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,231,2984,3835,0.508249163964074046617724889074
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,97,455,1001,4597,0.068966764888044179704351677174
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,1,4264,4764,0.9989999999999999991118215803
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,3382,3795,3808,0.000100000000000000004792173602
421,421_0,FAILED,BoTorch,GenerationStep_1,,,1,1,875,0.000100000000000000004792173602
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,513,5000,1991,1,0.9989999999999999991118215803
423,423_0,FAILED,BoTorch,GenerationStep_1,,,1,3943,3862,0.351998849039268590921381019143
424,424_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1068,0.9989999999999999991118215803
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,1112,4865,4115,3156,0.000100000000000000004792173602
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,5000,995,4949,0.9989999999999999991118215803
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,2125,3982,4145,0.000100000000000000004792173602
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,2848,1,4151,3904,0.9989999999999999991118215803
429,429_0,FAILED,BoTorch,GenerationStep_1,,,3534,1,1928,0.581284912093626093820830647019
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,744,5000,2837,1603,0.9989999999999999991118215803
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,748,5000,663,233,0.000100000000000000004792173602
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,2863,32,4301,3982,0.000100000000000000004792173602
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,546,1,2891,1784,0.9989999999999999991118215803
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,100,5000,301,331,0.000100000000000000004792173602
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,512,5000,2301,1,0.000100000000000000004792173602
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,316,1,2388,1,0.000100000000000000004792173602
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,1,133,1028,0.000100000000000000004792173602
438,438_0,FAILED,BoTorch,GenerationStep_1,,,4389,1,1636,0.000100000000000000004792173602
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,916,5000,4248,3111,0.9989999999999999991118215803
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,886,5000,4411,2952,0.9989999999999999991118215803
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,2251,3474,4013,3653,0.9989999999999999991118215803
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,1371,5000,4141,3442,0.9989999999999999991118215803
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,766,5000,4521,2722,0.000100000000000000004792173602
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,735,1745,3042,1709,0.9989999999999999991118215803
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,5000,64,1001,0.000100000000000000004792173602
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,669,1,4175,3006,0.9989999999999999991118215803
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,904,1,4171,3264,0.000100000000000000004792173602
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,549,1,4383,2759,0.940791981279865074938584257325
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,906,5000,2843,1935,0.9989999999999999991118215803
450,450_0,FAILED,BoTorch,GenerationStep_1,,,1,1,756,0.000100000000000000004792173602
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,4796,37,1920,0.00361177018339592890983080764
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,90,1,2005,4161,0.9989999999999999991118215803
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,5000,830,1218,0.000100000000000000004792173602
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,598,5000,2208,367,0.9989999999999999991118215803
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,92,243,238,1454,0.539633312358163030886260003172
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,560,5000,2386,384,0.795787928703482361214582851971
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,523,5000,2073,256,0.000100000000000000004792173602
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,1802,5000,2973,2636,0.9989999999999999991118215803
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,93,1,68,1391,0.000100000000000000004792173602
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,621,5000,2095,435,0.000100000000000000004792173602
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,112,4301,2434,4699,0.9989999999999999991118215803
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,587,4865,4256,1420,0.000100000000000000004792173602
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,97,1,613,4038,0.000100000000000000004792173602
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,98,3973,2187,4794,0.9989999999999999991118215803
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,90,1,2226,4534,0.000100000000000000004792173602
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,371,1,4241,1544,0.000100000000000000004792173602
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,508,5000,4271,1249,0.000100000000000000004792173602
468,468_0,FAILED,BoTorch,GenerationStep_1,,,1,1,1757,0.9989999999999999991118215803
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,111,5000,2080,4662,0.000100000000000000004792173602
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,111,3947,2394,4972,0.9989999999999999991118215803
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,613,5000,4411,1104,0.000100000000000000004792173602
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,586,5000,2597,250,0.000100000000000000004792173602
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,107,5000,2239,4339,0.000100000000000000004792173602
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,427,1,4328,1755,0.000100000000000000004792173602
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,591,5000,4519,1257,0.000100000000000000004792173602
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,102,1,233,1773,0.9989999999999999991118215803
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,564,5000,4663,1373,0.000100000000000000004792173602
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,3789,91,1679,0.9989999999999999991118215803
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,575,5000,2762,511,0.000100000000000000004792173602
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,96,5000,4457,4519,0.9989999999999999991118215803
481,481_0,RUNNING,BoTorch,GenerationStep_1,,,5000,4588,4523,0.000100000000000000004792173602
482,482_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,95,5000,2638,2805,0.000100000000000000004792173602
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,925,5000,3278,2244,0.9989999999999999991118215803
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,496,5000,2846,93,0.000100000000000000004792173602
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,788,5000,3423,2058,0.000100000000000000004792173602
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,94,5000,1143,2850,0.9989999999999999991118215803
487,487_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,875,5000,785,324,0.9989999999999999991118215803
488,488_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,967,5000,3356,2429,0.000100000000000000004792173602
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,609,898,3057,930,0.000100000000000000004792173602
490,490_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1618,5000,3354,2882,0.000100000000000000004792173602
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1392,5000,3496,2960,0.9989999999999999991118215803
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,760,1,3239,2340,0.9989999999999999991118215803
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,2227,5000,3261,2979,0.000100000000000000004792173602
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,727,5000,3687,2000,0.000100000000000000004792173602
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,635,870,3354,825,0.000100000000000000004792173602
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,512,5000,2981,1,0.000100000000000000004792173602
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,470,4761,3988,1,0.000100000000000000004792173602
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.19000000000000000222044604925,674,5000,548,1,0.9989999999999999991118215803
499,499_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,628,1051,3176,831,0.000100000000000000004792173602
500,500_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,483,1,3825,1880,0.000100000000000000004792173602
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,675,597,3617,1012,0.000100000000000000004792173602
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.05999999999999999777955395075,91,1,3776,4076,0.000100000000000000004792173602
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,951,5000,3113,2268,0.000100000000000000004792173602
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,477,4293,3687,1,0.000100000000000000004792173602
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,602,1,3457,2302,0.000100000000000000004792173602
506,506_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,4170,0.9989999999999999991118215803
507,507_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,602,832,3869,164,0.000100000000000000004792173602
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,604,5000,3128,706,0.000100000000000000004792173602
509,509_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,512,4198,3239,1,0.000100000000000000004792173602
510,510_0,COMPLETED,Sobol,SOBOL,0.05999999999999999777955395075,732,877,2756,110,0.918039473938941918973455358355
511,511_0,RUNNING,Sobol,SOBOL,,,4738,1770,4629,0.030114826886821537132998827246
512,512_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,810,2868,4710,2284,0.586439561577141277304292543704
513,513_0,RUNNING,Sobol,SOBOL,,,1495,754,3077,0.478909365841187539825085650591
514,514_0,FAILED,Sobol,SOBOL,,,1902,4369,4295,0.271407236331049350752664395259
515,515_0,FAILED,Sobol,SOBOL,,,3735,160,988,0.661337959021609300691579846898
516,516_0,FAILED,Sobol,SOBOL,,,4364,3196,3332,0.220606142696551960069584197299
517,517_0,FAILED,Sobol,SOBOL,,,25,2269,1328,0.829057668169215333797694711393
518,518_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,1426,349,4687,3687,0.737160877434536843111345660873
519,519_0,FAILED,Sobol,SOBOL,,,4054,1104,1677,0.312566029970906655854889777402
520,520_0,FAILED,Sobol,SOBOL,,,3435,2891,4020,0.756618757542502184954003041639
521,521_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,1037,2218,1337,716,0.175941970856580864879248338184
522,522_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,748,1805,3698,1929,0.070862771107442684703769941734
523,523_0,FAILED,Sobol,SOBOL,,,2544,2086,2728,0.994427019120007749108935968252
524,524_0,COMPLETED,Sobol,SOBOL,0.05999999999999999777955395075,574,4423,3775,385,0.43380195532264187452398118694
525,525_0,FAILED,Sobol,SOBOL,,,1177,446,4900,0.514532900553103522689468718454
526,526_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,796,944,4059,1811,0.203962361373938610986655817214
527,527_0,FAILED,Sobol,SOBOL,,,4651,474,3551,0.846068232549726961799763103045
528,528_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,696,2779,3512,896,0.285856191348005050922864711538
529,529_0,FAILED,Sobol,SOBOL,,,1564,1960,3842,0.647010009741689984252843714785
530,530_0,RUNNING,Sobol,SOBOL,,,2460,3076,2556,0.604790447391942098676054229145
531,531_0,RUNNING,Sobol,SOBOL,,,3197,1465,2105,0.460679441109113407826214370289
532,532_0,RUNNING,Sobol,SOBOL,,,3828,4404,4759,0.905297611320298178938514865877
533,533_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,992,580,1074,524,0.043223415815178307941568647266
534,534_0,RUNNING,Sobol,SOBOL,,,260,3383,4484,0.388747085251007207240547813853
535,535_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,723,4124,2396,252,0.559710696497093929124844180478
536,536_0,COMPLETED,Sobol,SOBOL,0.05999999999999999777955395075,945,3502,4085,2910,0.119575759445689627780140540381
537,537_0,RUNNING,Sobol,SOBOL,,,2131,131,2453,0.946078923473879673800013279106
538,538_0,COMPLETED,Sobol,SOBOL,0.05999999999999999777955395075,530,1269,4992,1171,0.801429755543824229313543128228
539,539_0,RUNNING,Sobol,SOBOL,,,3099,784,4114,0.131495791123528021904220963734
540,540_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,769,4980,2571,1456,0.688204017025977332622233006987
541,541_0,RUNNING,Sobol,SOBOL,,,639,1643,3202,0.361645741827972211357433707235
542,542_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,1534,746,4824,3935,0.049416080142743887271272740236
543,543_0,RUNNING,Sobol,SOBOL,,,4853,654,628,0.875401492334157205199574036669
544,544_0,RUNNING,Sobol,SOBOL,,,2972,2715,3595,0.443572794608492415591172175482
545,545_0,FAILED,Sobol,SOBOL,,,1376,1826,1591,0.614018654017802312239382445114
546,546_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,738,2101,3209,451,0.633742686836048951803945783467
547,547_0,FAILED,Sobol,SOBOL,,,3551,2262,4969,0.306727627818845216545184939605
548,548_0,COMPLETED,Sobol,SOBOL,0.05999999999999999777955395075,791,4172,4224,2002,0.871711847194563627105878822476
549,549_0,FAILED,Sobol,SOBOL,,,231,309,2795,0.201321098955068722435868266984
550,550_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,1281,531,2893,2194,0.355283272045198827981948852539
551,551_0,RUNNING,Sobol,SOBOL,,,3857,1321,2994,0.717930330556910467620923554932
552,552_0,COMPLETED,Sobol,SOBOL,0.05999999999999999777955395075,529,3226,4534,23,0.148405958661250753083393760789
553,553_0,RUNNING,Sobol,SOBOL,,,2412,1242,4538,0.792005069955065810205496745766
554,554_0,RUNNING,Sobol,SOBOL,,,1691,3881,3403,0.959024497193004976658414761914
555,555_0,RUNNING,Sobol,SOBOL,,,2672,335,1393,0.098382573788333690933960440361
556,556_0,RUNNING,Sobol,SOBOL,,,4544,3646,4363,0.5337796271756291011101325239
557,557_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,760,1071,2133,1059,0.391100892993249016349466273823
558,558_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,1175,1148,3519,2818,0.826777923320885732572094184434
559,559_0,RUNNING,Sobol,SOBOL,,,4472,1946,2367,0.246619841097015873865316848423
560,560_0,FAILED,Sobol,SOBOL,,,2593,3910,4399,0.682334654552489539014459296595
561,561_0,FAILED,Sobol,SOBOL,,,1775,619,164,0.25825851155091078537040516494
562,562_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,821,2325,4504,1528,0.488262846411857742712214758285
563,563_0,FAILED,Sobol,SOBOL,,,3308,960,3269,0.569451528086792668759130719991
564,564_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,730,3927,3020,1237,0.000580240355990827082026395356
565,565_0,FAILED,Sobol,SOBOL,,,457,1506,4183,0.924602224813029116567975052021
566,566_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,914,152,4196,809,0.517012934865429985009654956229
567,567_0,RUNNING,Sobol,SOBOL,,,4257,25,3751,0.40798854638617487733398547789
568,568_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,1023,3628,3336,1721,0.973596318543236693976439255493
569,569_0,RUNNING,Sobol,SOBOL,,,2029,2447,3467,0.08417749084169046103198752462
570,570_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4388,1,4172,0.9989999999999999991118215803
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,594,3640,0.9989999999999999991118215803
572,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,4224,0.9989999999999999991118215803
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3365,1,2453,0.9989999999999999991118215803
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2840,3085,0.9989999999999999991118215803
575,575_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3677,5000,0.000100000000000000004792173602
576,576_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4738,5000,0.9989999999999999991118215803
577,577_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,4163,0.9989999999999999991118215803
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2033,5000,0.9989999999999999991118215803
579,579_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,549,3590,0.9989999999999999991118215803
580,580_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1407,2841,3625,0.000100000000000000004792173602
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,416,1,4764,885,0.000100000000000000004792173602
582,582_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4716,5000,0.000100000000000000004792173602
583,80_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,2549,0.000100000000000000004792173602
584,584_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2029,5000,0.9989999999999999991118215803
585,585_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3832,5000,0.9989999999999999991118215803
586,586_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2864,3200,0.000100000000000000004792173602
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.05999999999999999777955395075,515,5000,4270,258,0.9989999999999999991118215803
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,591,5000,3856,1288,0.9989999999999999991118215803
589,589_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,319,241,0.000100000000000000004792173602
590,590_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2311,2644,0.000100000000000000004792173602
591,591_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,577,3551,0.000100000000000000004792173602
592,592_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2048,5000,0.000100000000000000004792173602
593,593_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4721,5000,0.9989999999999999991118215803
594,594_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,26,4236,0.9989999999999999991118215803
595,595_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3881,577,3637,0.000100000000000000004792173602
596,596_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4102,4405,0.000100000000000000004792173602
597,597_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,518,3574,0.9989999999999999991118215803
598,598_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,4260,0.9989999999999999991118215803
599,599_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4723,5000,0.9989999999999999991118215803
600,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1369,1993,5000,0.000100000000000000004792173602
601,601_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1345,1653,0.9989999999999999991118215803
602,602_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4693,5000,0.9989999999999999991118215803
603,603_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,537,2854,3615,0.9989999999999999991118215803</pre>
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<h1><img class='invert_icon' src='i/terminal.svg' style='height: 1em' />&nbsp;Errors</h1>
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<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 4512907 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512907/4512907_0_result.pkl
has not produced any output (state: NODE_FAIL)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4512907/4512907_0_log.out


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


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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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


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



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


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


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


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



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


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



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


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



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


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


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



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


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



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


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



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


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



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


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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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



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


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


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



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


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



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


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



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


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



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

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'><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>None                                                                                                                              </td></tr><tr><td> run_program</td><td>None                                                                                                                              </td></tr><tr><td> experiment_name</td><td>None                                                                                                                              </td></tr><tr><td> mem_gb</td><td>1                                                                                                                                 </td></tr><tr><td> parameter</td><td>None                                                                                                                              </td></tr><tr><td> continue_previous_job</td><td>/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/DAWIDD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0 </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                              </td></tr><tr><td> run_dir</td><td>runs                                                                                                                              </td></tr><tr><td> seed</td><td>None                                                                                                                              </td></tr><tr><td> decimalrounding</td><td>4                                                                                                                                 </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                             </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                             </td></tr><tr><td> model</td><td>None                                                                                                                              </td></tr><tr><td> gridsearch</td><td>False                                                                                                                             </td></tr><tr><td> occ</td><td>False                                                                                                                             </td></tr><tr><td> show_sixel_scatter</td><td>False                                                                                                                             </td></tr><tr><td> show_sixel_general</td><td>False                                                                                                                             </td></tr><tr><td> show_sixel_trial_index_result</td><td>False                                                                                                                             </td></tr><tr><td> follow</td><td>False                                                                                                                             </td></tr><tr><td> send_anonymized_usage_stats</td><td>False                                                                                                                             </td></tr><tr><td> ui_url</td><td>None                                                                                                                              </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                                    </td></tr><tr><td> exclude</td><td>None                                                                                                                              </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                                 </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                                 </td></tr><tr><td> max_nr_of_zero_results</td><td>10                                                                                                                                </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                             </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                              </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                             </td></tr><tr><td> live_share</td><td>False                                                                                                                             </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                             </td></tr><tr><td> workdir</td><td>False                                                                                                                             </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                            </td></tr><tr><td> result_names</td><td>[&#039;RESULT=min&#039;]                                                                                                                    </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                                 </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                              </td></tr><tr><td> generate_all_jobs_at_once</td><td>False                                                                                                                             </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                              </td></tr><tr><td> load_data_from_existing_jobs</td><td>[]                                                                                                                                </td></tr><tr><td> n_estimators_randomforest</td><td>100                                                                                                                               </td></tr><tr><td> external_generator</td><td>None                                                                                                                              </td></tr><tr><td> username</td><td>None                                                                                                                              </td></tr><tr><td> max_failed_jobs</td><td>None                                                                                                                              </td></tr><tr><td> num_parallel_jobs</td><td>20                                                                                                                                </td></tr><tr><td> worker_timeout</td><td>30                                                                                                                                </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                             </td></tr><tr><td> time</td><td></td></tr><tr><td> partition</td><td></td></tr><tr><td> reservation</td><td>None                                                                                                                              </td></tr><tr><td> force_local_execution</td><td>False                                                                                                                             </td></tr><tr><td> slurm_signal_delay_s</td><td>0                                                                                                                                 </td></tr><tr><td> nodes_per_job</td><td>1                                                                                                                                 </td></tr><tr><td> cpus_per_task</td><td>1                                                                                                                                 </td></tr><tr><td> account</td><td>None                                                                                                                              </td></tr><tr><td> gpus</td><td>0                                                                                                                                 </td></tr><tr><td> run_mode</td><td>local                                                                                                                             </td></tr><tr><td> verbose</td><td>False                                                                                                                             </td></tr><tr><td> verbose_break_run_search_table</td><td>False                                                                                                                             </td></tr><tr><td> debug</td><td>False                                                                                                                             </td></tr><tr><td> no_sleep</td><td>False                                                                                                                             </td></tr><tr><td> tests</td><td>False                                                                                                                             </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False                                                                                                                             </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False                                                                                                                             </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False                                                                                                                             </td></tr><tr><td> raise_in_eval</td><td>False                                                                                                                             </td></tr><tr><td> show_ram_every_n_seconds</td><td>False                                                                                                                             </td></tr></tbody></table>
<h1><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>
<pre id="pre_tab_worker_usage">1744909333.6460118,20,0,0
1744909344.4283822,20,0,0
1744909345.347088,20,0,0
1744909345.5617464,20,0,0
1744909347.3562272,20,1,5
1744909352.8719342,20,1,5
1744909353.9810143,20,1,5
1744909354.179461,20,1,5
1744909355.6503356,20,2,10
1744909364.0770361,20,2,10
1744909365.0935202,20,2,10
1744909365.2563608,20,2,10
1744909367.128041,20,3,15
1744909378.1727278,20,3,15
1744909379.3459768,20,3,15
1744909379.5119114,20,3,15
1744909380.987147,20,4,20
1744909394.5767925,20,4,20
1744909395.3572974,20,4,20
1744909395.5402055,20,4,20
1744909397.978171,20,5,25
1744909414.4217238,20,5,25
1744909415.218106,20,5,25
1744909415.3955579,20,5,25
1744909416.9528615,20,6,30
1744909436.8025603,20,6,30
1744909437.6503012,20,6,30
1744909437.8282158,20,6,30
1744909439.164059,20,7,35
1744909460.7941744,20,7,35
1744909461.5747716,20,7,35
1744909461.7589998,20,7,35
1744909464.1338577,20,8,40
1744909488.825507,20,8,40
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1745129698.1272023,20,1,5
1745129700.031458,20,2,10
1745129700.381425,20,2,10
1745129712.9376323,20,1,5
1745129713.0159297,20,1,5
1745140841.413712,20,1,5
1745140842.1150348,20,1,5
1745140844.043692,20,2,10
1745140859.7033484,20,2,10
1745140869.524994,20,1,5
1745140869.597829,20,1,5
1745152014.0259075,20,1,5
1745152014.5363395,20,1,5
1745152016.291529,20,2,10
1745152032.2520094,20,2,10
1745152043.2675607,20,1,5
1745152043.3346255,20,1,5
1745165473.3436956,20,1,5
1745165474.0482438,20,1,5
1745165475.9895236,20,2,10
1745165491.5529444,20,2,10
1745165502.5217628,20,1,5
1745165502.5767007,20,1,5
1745180308.2482615,20,1,5
1745180308.9450734,20,1,5
1745180310.923678,20,2,10
1745180311.538352,20,2,10
1745180322.168654,20,1,5
1745180322.360642,20,1,5
1745194301.5331898,20,1,5
1745194302.0914986,20,1,5
1745194304.016621,20,2,10
1745194304.4884005,20,2,10
1745194314.2166955,20,1,5
1745194314.312086,20,1,5
</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
1744909333,647.83984375,16.4
1744909333,647.84375,60.8
1744909333,647.90234375,58.3
1744909333,647.90234375,50.0
1744909333,647.90234375,68.2
1744909333,647.90234375,47.7
1744909333,647.90234375,19.6
1744910111,721.078125,32.2
1744910111,721.078125,66.7
1744910111,721.078125,64.6
1744910111,721.078125,59.4
1744912882,765.6953125,42.8
1744912882,765.6953125,92.0
1744912882,765.6953125,76.4
1744912882,765.6953125,74.0
1744915685,769.9375,63.1
1744915685,769.9375,46.2
1744915685,769.9375,47.3
1744915685,769.9375,66.0
1745194321,1390.9765625,68.5
1745194321,1390.9765625,60.6
1745194321,1390.9765625,66.5
1745194321,1390.9765625,18.2
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'><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>0.34</b><br />
Achieved at:<br />
- <code>RUNTIME</code> = 2393<br />
- <code>recent_samples_size</code> = 4876<br />
- <code>max_window_size</code> = 569<br />
- <code>min_window_size</code> = 481<br />
- <code>min_p_value</code> = 0.0001</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>89</b><br />
Achieved at:<br />
- <code>ACCURACY</code> = 0.06<br />
- <code>recent_samples_size</code> = 1<br />
- <code>max_window_size</code> = 1117<br />
- <code>min_window_size</code> = 1811<br />
- <code>min_p_value</code> = 0.999</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>0.04</td><td>0.34</td><td>0.0768</td><td>0.0454</td><td>501</td></tr><tr><td>RUNTIME</td><td>89</td><td>5186</td><td>526.7685</td><td>714.7094</td><td>501</td></tr><tr><td>recent_samples_size</td><td>1</td><td>5000</td><td>2956.5662</td><td>1991.1977</td><td>604</td></tr><tr><td>max_window_size</td><td>1</td><td>5000</td><td>1967.7781</td><td>1453.0992</td><td>604</td></tr><tr><td>min_window_size</td><td>1</td><td>5000</td><td>2466.4238</td><td>1517.3546</td><td>604</td></tr><tr><td>min_p_value</td><td>0.0001</td><td>0.999</td><td>0.5184</td><td>0.445</td><td>604</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)
